{ "results": [ { "id": "cb7f08a531bc308044cff1533c4264a7", "title": "Windows Admin", "employer_name": "SAS Institute Inc.", "employer_slug": "sas-institute", "location_text": "Pune, UNAVAILABLE, IN", "country": "IN", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://global-sas.icims.com/jobs/41588/windows-admin/job", "apply_url_verified": false, "ats": "icims", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Windows Admin Pune, UNAVAILABLE, IN We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more. About the job You will support day-to-day mission critical operations of SAS' complex global compute environments. The Global Operations Center (GoC) Infrastructure as a Service (IaaS) Operations team is responsible for maintaining operational stability of SAS' global server systems (Linux/Windows) internal and hosting server (on prem and cloud) infrastructures. The engineer performs incident management, proactive operations, implements basic requests/changes and documents team procedures. Experience: 3-5 Years Essential: Bachelor's degree in computer information systems, Computer Science, or related quantitative field or related experience. Minimum 2 years of experience in a heterogeneous, dynamic, customer-focused environment Experience with Redhat Linux and Windows operating systems, minimum experience 1 year with your primary OS. Excellent troubleshooting skills on Windows Operating System and VMware. Experience with Active Directory, Group Policies, DNS. Support experience with virtualization technologies (preference o", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 6, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.835507b845f7947342", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "cb7f08a531bc308044cff1533c4264a7", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Windows Admin Pune, UNAVAILABLE, IN We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more. About the job You will support day-to-day mission critical operations of SAS' complex global compute environments. The Global Operations Center (GoC) Infrastructure as a Service (IaaS) Operations team is responsible for maintaining operational stability of SAS' global server systems (Linux/Windows) internal and hosting server (on prem and cloud) infrastructures. The engineer performs incident management, proactive operations, implements basic requests/changes and documents team procedures. Experience: 3-5 Years Essential: Bachelor's degree in computer information systems, Computer Science, or related quantitative field or related experience. Minimum 2 years of experience in a heterogeneous, dynamic, customer-focused environment Experience with Redhat Linux and Windows operating systems, minimum experience 1 year with your primary OS. Excellent troubleshooting skills on Windows Operating System and VMware. Experience with Active Directory, Group Policies, DNS. Support experience with virtualization technologies (preference o", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:cb7f08a531bc308044cff1533c4264a7:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.c8b2a1e3f3e2f4f5a6", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "cb7f08a531bc308044cff1533c4264a7", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Windows Admin Pune, UNAVAILABLE, IN We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more. About the job You will support day-to-day mission critical operations of SAS' complex global compute environments. The Global Operations Center (GoC) Infrastructure as a Service (IaaS) Operations team is responsible for maintaining operational stability of SAS' global server systems (Linux/Windows) internal and hosting server (on prem and cloud) infrastructures. The engineer performs incident management, proactive operations, implements basic requests/changes and documents team procedures. Experience: 3-5 Years Essential: Bachelor's degree in computer information systems, Computer Science, or related quantitative field or related experience. Minimum 2 years of experience in a heterogeneous, dynamic, customer-focused environment Experience with Redhat Linux and Windows operating systems, minimum experience 1 year with your primary OS. Excellent troubleshooting skills on Windows Operating System and VMware. Experience with Active Directory, Group Policies, DNS. Support experience with virtualization technologies (preference o", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:cb7f08a531bc308044cff1533c4264a7:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.location_text.92e744c24b5787a99b", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "cb7f08a531bc308044cff1533c4264a7", "signal_type": "query_match", "display_text": "Location: \"ai\"", "tooltip": "Location matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "location_text", "source_value": "Pune, UNAVAILABLE, IN", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:cb7f08a531bc308044cff1533c4264a7:location:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.6ce4ec016b4d3d6a0d", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "cb7f08a531bc308044cff1533c4264a7", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Windows Admin Pune, UNAVAILABLE, IN We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more. About the job You will support day-to-day mission critical operations of SAS' complex global compute environments. The Global Operations Center (GoC) Infrastructure as a Service (IaaS) Operations team is responsible for maintaining operational stability of SAS' global server systems (Linux/Windows) internal and hosting server (on prem and cloud) infrastructures. The engineer performs incident management, proactive operations, implements basic requests/changes and documents team procedures. Experience: 3-5 Years Essential: Bachelor's degree in computer information systems, Computer Science, or related quantitative field or related experience. Minimum 2 years of experience in a heterogeneous, dynamic, customer-focused environment Experience with Redhat Linux and Windows operating systems, minimum experience 1 year with your primary OS. Excellent troubleshooting skills on Windows Operating System and VMware. Experience with Active Directory, Group Policies, DNS. Support experience with virtualization technologies (preference o", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.location_text.8f4be3671dae084b34", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "cb7f08a531bc308044cff1533c4264a7", "signal_type": "query_match", "display_text": "Location: \"ai\"", "tooltip": "Location contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "location_text", "source_value": "Pune, UNAVAILABLE, IN", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://global-sas.icims.com/jobs/41588/windows-admin/job", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://global-sas.icims.com/jobs/41588/windows-admin/job", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "ed80d588ea56fdcbf97ecd93ebd984c0", "title": "AI Solutions Engineer", "employer_name": "Divergent 3D", "employer_slug": "divergent-3d", "location_text": "Torrance, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 122430, "salary_max": 168340, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 122430, "base_salary_max": 168340, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-06-09T16:05:06.000Z", "apply_url": "https://job-boards.greenhouse.io/divergent/jobs/5251730008", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Solutions Engineer Torrance, California, United States Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production. Purpose We are looking for an AI Solutions Engineer who not only builds cutting‑edge generative‑AI systems but also serves as the AI Enablement lead for the organization. You'll design, develop, and productionize large‑language and multimodal model solutions while dedicating a significant portion of your time to help teams adopt AI responsibly and effectively. The Role Help Build & Deploy AI Solutions - Collaborate with cross-functional teams to integrate and optimize generative AI solutions into products and processes. - Develop domain specific AI software using RAG and Agentic AI. - Collaborate with the data engineers, product teams, people operations, and legal to ensure compliant and responsible AI. - Implement usage monitoring and bias mitigation to improve result quality. AI Adoption & Enablement - Act", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 47, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "health_plan_types": { "field": "health_plan_types", "source": "llm:greenfield:inv_371_postfix", "db_column": "health_plan_types" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "growth-stage", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.bacbf192c8e4ca845d", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "ed80d588ea56fdcbf97ecd93ebd984c0", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "AI Solutions Engineer", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.06de592d7b290127e1", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "ed80d588ea56fdcbf97ecd93ebd984c0", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:ed80d588ea56fdcbf97ecd93ebd984c0:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/divergent/jobs/5251730008", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/divergent/jobs/5251730008", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/divergent/jobs/5251730008", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/divergent/jobs/5251730008", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/divergent/jobs/5251730008", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/divergent/jobs/5251730008", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/divergent/jobs/5251730008", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "7065135ac138362bc33fad30c85bf63f", "title": "Software Engineer, AI (Senior/Staff)", "employer_name": "Monarch Casino AND Resort INC", "employer_slug": "monarch-casino-and-resort", "location_text": "Remote (US)", "country": "US", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-02-18T18:19:44.183Z", "apply_url": "https://jobs.ashbyhq.com/monarchmoney/87fabc87-1377-4ed9-bbd2-fcc93c53ba9c", "apply_url_verified": true, "ats": "ashby", "url_last_checked_alive": "2026-08-10T03:54:55.257Z", "removed_at": null, "description_excerpt": "Software Engineer, AI (Senior/Staff) Remote (US) About Us: Monarch is a powerful, all-in-one personal finance platform designed to help make the complexity of finances feel simple again. Since launching in 2021, we've become the top-recommended personal finance app by users and experts. Our goal? To take the stress out of finances so our members can focus on what truly matters. We are a team of do-ers led by experienced entrepreneurs who are passionate about helping our members reach their financial goals. We are hyper focused on building a product people love and continuing to evolve based on user feedback. As a fully remote company (even before COVID!), we welcome applicants from almost anywhere. Our team collaborates synchronously mostly from 9 AM - 2 PM PT and embraces asynchronous work to stay connected across time zones. Join us on our mission to transform lives by simplifying money, together. The Role: At Monarch, AI is the engine powering intelligent, personalized financial experiences for our users. We're looking for an AI Engineer to design, build, and own the features that help hundreds of thousands of users understand and manage their money. You'll work across the full spectrum of AI development, from prompt engineering and API integrations to building multi-agent systems and fine-tuning language models. You will be a force multiplier for Monarch's product, making critical decisions on everything from our conversational AI architecture to how we evaluate and ship AI features with confidence. You'll collaborate closely with our AI Platform team, who manage", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 48, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/907242/000110465926018717/mcri-20251231x10k.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "unlimited_pto": { "field": "unlimited_pto", "source": "llm:greenfield:inv_371_postfix", "db_column": "unlimited_pto" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/907242/000110465926018717/mcri-20251231x10k.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "assessment_required": { "field": "assessment_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "assessment_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "early", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Retail", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.414b5bfe439b8d8ce5", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "7065135ac138362bc33fad30c85bf63f", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Software Engineer, AI (Senior/Staff)", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.594f1904609e940e3a", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "7065135ac138362bc33fad30c85bf63f", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:7065135ac138362bc33fad30c85bf63f:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.trust.apply.47bebb4960ffe163bf", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "7065135ac138362bc33fad30c85bf63f", "signal_type": "trust_signal", "display_text": "Apply link reachable when checked", "tooltip": "The apply URL was reachable during the last recorded crawl-time liveness check; this is not a live guarantee.", "source_binding": "row_trust_evidence", "source_field": "apply_url_verified", "source_value": true, "matched_input": true, "derivation_source": "verified_source_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "trust_source_exists", "counts_for_non_trivial_query": false, "truth_verified": true, "exact": true, "priority": 10, "mobile_priority": 11, "ui": { "icon": "ExternalLink", "tone": "verified", "href": null }, "evidence_source": { "source_url": "https://jobs.ashbyhq.com/monarchmoney/87fabc87-1377-4ed9-bbd2-fcc93c53ba9c", "source_label": "Apply link", "source_date": "2026-08-10T03:54:55.257Z" } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": "2026-08-10T03:54:55.257Z", "apply_url_verification_status": "reachable_when_last_checked", "apply_url_verification_label": "Reachable when checked at 2026-08-10T03:54:55.257Z", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/monarchmoney/87fabc87-1377-4ed9-bbd2-fcc93c53ba9c", "source_values": [ "rule:remote_status" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/907242/000110465926018717/mcri-20251231x10k.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/907242/000110465926018717/mcri-20251231x10k.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "unlimited_pto": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/monarchmoney/87fabc87-1377-4ed9-bbd2-fcc93c53ba9c", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/monarchmoney/87fabc87-1377-4ed9-bbd2-fcc93c53ba9c", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/monarchmoney/87fabc87-1377-4ed9-bbd2-fcc93c53ba9c", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/monarchmoney/87fabc87-1377-4ed9-bbd2-fcc93c53ba9c", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "d8e8258aff95ba8a8210bfc4f95a661f", "title": "Software Engineer, Reliability", "employer_name": "OpenAI", "employer_slug": "openai", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cnbc_disruptor50", "cbinsights_unicorn", "a16z", "sequoia", "foundersfund" ], "posted_at": "2025-10-17T19:57:46.161Z", "apply_url": "https://jobs.ashbyhq.com/openai/1faee5e7-3b2f-4d8c-9a6f-ff0f2a4a42a7", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer, Reliability San Francisco, California, United States Join the engineering teams that bring OpenAI's ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it's delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: - Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. - Build and maintain the load, chaos and synthetic testing", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": true, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.a595b97d1be9060a1e", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "d8e8258aff95ba8a8210bfc4f95a661f", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Engineer, Reliability San Francisco, California, United States Join the engineering teams that bring OpenAI's ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it's delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: - Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. - Build and maintain the load, chaos and synthetic testing", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:d8e8258aff95ba8a8210bfc4f95a661f:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.b22edb3e6fc4b01d37", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "d8e8258aff95ba8a8210bfc4f95a661f", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Engineer, Reliability San Francisco, California, United States Join the engineering teams that bring OpenAI's ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it's delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: - Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. - Build and maintain the load, chaos and synthetic testing", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:d8e8258aff95ba8a8210bfc4f95a661f:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.82751c6b823afe0e19", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "d8e8258aff95ba8a8210bfc4f95a661f", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "OpenAI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:d8e8258aff95ba8a8210bfc4f95a661f:employer:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.0c62c7cda85ab36e51", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "d8e8258aff95ba8a8210bfc4f95a661f", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Software Engineer, Reliability San Francisco, California, United States Join the engineering teams that bring OpenAI's ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it's delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: - Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. - Build and maintain the load, chaos and synthetic testing", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.98450f0eab3bfc9424", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "d8e8258aff95ba8a8210bfc4f95a661f", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "OpenAI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/openai/1faee5e7-3b2f-4d8c-9a6f-ff0f2a4a42a7", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/openai/1faee5e7-3b2f-4d8c-9a6f-ff0f2a4a42a7", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "9a492547f99d9356b0f0fd6e91e9fef7", "title": "Solutions Architect (Inference)", "employer_name": "Together AI", "employer_slug": "together-ai", "location_text": "London", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2025-10-16T11:34:01.000Z", "apply_url": "https://job-boards.greenhouse.io/togetherai/jobs/4946442007", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Solutions Architect (Inference) London About the Role As a Solutions Architect (Inference) at Together AI, you will work with customers and prospects to create business value through Generative AI applications. Solutions Architects at Together are trusted advisors to our customers that evaluate, identify and demonstrate how Together can solve their AI needs. As key contributors to our sales organization, Solution Engineers add tremendous value to the customer journey and directly impact company growth and revenue. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment. Responsibilities - Act as a technical advisor to our most strategic customers, deeply embedding with them to support the ideation and development of innovative applications using OSS models on Together AI - Run complex demonstrations and POCs of Together's entire stack, including both hardware and software solutions - Collaborate with sales to qualify new prospects and support existing customers along their journey to build cutting-edge Generative AI solutions - Build and maintain strong relationships with customer leadership and stakeholders, ensuring the successful deployment and scaling of their applications - Deliver high-value feedback to our Product, Engineering, and Research teams, ensuring our platform continues to evolve to meet customer needs - Build educational content and tooling for both internal and external use around Together's solutions (i.e., playbooks, blogs, demos, etc.) Qualifications - 7+ years of experience in a customer-facing technical role with at least 2 years in a pre-sales function", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 7, "years_experience_max": 11, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.98921edd9297658763", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "9a492547f99d9356b0f0fd6e91e9fef7", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Together AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.37beef57cff964bd50", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "9a492547f99d9356b0f0fd6e91e9fef7", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:9a492547f99d9356b0f0fd6e91e9fef7:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/togetherai/jobs/4946442007", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/togetherai/jobs/4946442007", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "dab3db25d09a7e42301e73dca3e2772d", "title": "Software Engineer, Ray Data", "employer_name": "Anyscale", "employer_slug": "anyscale", "location_text": "Bengaluru, Karnataka", "country": "IN", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn", "a16z" ], "posted_at": "2025-09-10T02:25:20.496Z", "apply_url": "https://jobs.ashbyhq.com/anyscale/2d76cfa2-f857-42b2-9c74-c07beca01458", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer, Ray Data Bengaluru, Karnataka About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we're building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: Ray aims to provide a universal API for building distributed applications (e.g. a machine learning pipeline of feature engineering, model training, and evaluation). Data is usually a core element connecting these different stages, and therefore plays a critical role in Ray's usability, performance, and stability. We are looking for strong engineers to build, optimize, and scale Ray's Datasets library and data processing capabilities in general. About the Ray Data team: The Ray Data team currently develops and maintains the Ray Datasets library, which is already powering critical production use cases (e.g. large scale data compaction at Amazon , and ML pipeline at Alibaba ). Ray Datasets is a Python library built on top of", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "growth-stage", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.a03656dfbd409a9e16", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "dab3db25d09a7e42301e73dca3e2772d", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Engineer, Ray Data Bengaluru, Karnataka About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we're building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: Ray aims to provide a universal API for building distributed applications (e.g. a machine learning pipeline of feature engineering, model training, and evaluation). Data is usually a core element connecting these different stages, and therefore plays a critical role in Ray's usability, performance, and stability. We are looking for strong engineers to build, optimize, and scale Ray's Datasets library and data processing capabilities in general. About the Ray Data team: The Ray Data team currently develops and maintains the Ray Datasets library, which is already powering critical production use cases (e.g. large scale data compaction at Amazon , and ML pipeline at Alibaba ). Ray Datasets is a Python library built on top of", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:dab3db25d09a7e42301e73dca3e2772d:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.af658c0efec3a9c225", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "dab3db25d09a7e42301e73dca3e2772d", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Engineer, Ray Data Bengaluru, Karnataka About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we're building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: Ray aims to provide a universal API for building distributed applications (e.g. a machine learning pipeline of feature engineering, model training, and evaluation). Data is usually a core element connecting these different stages, and therefore plays a critical role in Ray's usability, performance, and stability. We are looking for strong engineers to build, optimize, and scale Ray's Datasets library and data processing capabilities in general. About the Ray Data team: The Ray Data team currently develops and maintains the Ray Datasets library, which is already powering critical production use cases (e.g. large scale data compaction at Amazon , and ML pipeline at Alibaba ). Ray Datasets is a Python library built on top of", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:dab3db25d09a7e42301e73dca3e2772d:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.1663813bb35e4d1406", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "dab3db25d09a7e42301e73dca3e2772d", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Software Engineer, Ray Data Bengaluru, Karnataka About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we're building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: Ray aims to provide a universal API for building distributed applications (e.g. a machine learning pipeline of feature engineering, model training, and evaluation). Data is usually a core element connecting these different stages, and therefore plays a critical role in Ray's usability, performance, and stability. We are looking for strong engineers to build, optimize, and scale Ray's Datasets library and data processing capabilities in general. About the Ray Data team: The Ray Data team currently develops and maintains the Ray Datasets library, which is already powering critical production use cases (e.g. large scale data compaction at Amazon , and ML pipeline at Alibaba ). Ray Datasets is a Python library built on top of", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.a5492b9c267b706aca", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "dab3db25d09a7e42301e73dca3e2772d", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Software Engineer, Ray Data Bengaluru, Karnataka About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we're building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: Ray aims to provide a universal API for building distributed applications (e.g. a machine learning pipeline of feature engineering, model training, and evaluation). Data is usually a core element connecting these different stages, and therefore plays a critical role in Ray's usability, performance, and stability. We are looking for strong engineers to build, optimize, and scale Ray's Datasets library and data processing capabilities in general. About the Ray Data team: The Ray Data team currently develops and maintains the Ray Datasets library, which is already powering critical production use cases (e.g. large scale data compaction at Amazon , and ML pipeline at Alibaba ). Ray Datasets is a Python library built on top of", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/anyscale/2d76cfa2-f857-42b2-9c74-c07beca01458", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/anyscale/2d76cfa2-f857-42b2-9c74-c07beca01458", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/anyscale/2d76cfa2-f857-42b2-9c74-c07beca01458", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "de854963141a9f943ac095223c032126", "title": "Technology Architect", "employer_name": "Infosys Consulting", "employer_slug": "infosys-consulting", "location_text": "Location not specified", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25633&siteid=5439&PageType=JobDetails&jobid=2243893", "apply_url_verified": false, "ats": "brassring_kenexa", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Technology Architect About Infosys: Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56+ countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next. RESPONSIBILITIES: - Define target architectures for upgraded applications, platforms and database systems. - Guide migration strategy, deployment approaches and integration design. - Review technical designs and ensure alignment with architectural standards. - Assess compatibility across systems, interfaces and data components. - Support performance, reliability and stability considerations during migration. - Prepare architectural documentation, guidelines and technical reference materials. - Identify technical risks and provide mitigation recommendations. - Collaborate with business, development, testing and infrastructure teams. SKILLS/COMPETENCIES: - Background in Computer Science, Engineering or related fields. - Experience in enterprise architecture or application/database migration. - Strong understanding of integration models, system design principles and operational architecture. - Ability to lead teams through complex technical transitions. - Strong communication and problem‑solving skills. Additional Skills: - Excellent customer interfacing skills.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Professional Services", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.56908ebefc424683e1", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "de854963141a9f943ac095223c032126", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Technology Architect About Infosys: Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56+ countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next. RESPONSIBILITIES: - Define target architectures for upgraded applications, platforms and database systems. - Guide migration strategy, deployment approaches and integration design. - Review technical designs and ensure alignment with architectural standards. - Assess compatibility across systems, interfaces and data components. - Support performance, reliability and stability considerations during migration. - Prepare architectural documentation, guidelines and technical reference materials. - Identify technical risks and provide mitigation recommendations. - Collaborate with business, development, testing and infrastructure teams. SKILLS/COMPETENCIES: - Background in Computer Science, Engineering or related fields. - Experience in enterprise architecture or application/database migration. - Strong understanding of integration models, system design principles and operational architecture. - Ability to lead teams through complex technical transitions. - Strong communication and problem‑solving skills. Additional Skills: - Excellent customer interfacing skills.", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:de854963141a9f943ac095223c032126:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.de2cea7da520808746", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "de854963141a9f943ac095223c032126", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Technology Architect About Infosys: Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56+ countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next. RESPONSIBILITIES: - Define target architectures for upgraded applications, platforms and database systems. - Guide migration strategy, deployment approaches and integration design. - Review technical designs and ensure alignment with architectural standards. - Assess compatibility across systems, interfaces and data components. - Support performance, reliability and stability considerations during migration. - Prepare architectural documentation, guidelines and technical reference materials. - Identify technical risks and provide mitigation recommendations. - Collaborate with business, development, testing and infrastructure teams. SKILLS/COMPETENCIES: - Background in Computer Science, Engineering or related fields. - Experience in enterprise architecture or application/database migration. - Strong understanding of integration models, system design principles and operational architecture. - Ability to lead teams through complex technical transitions. - Strong communication and problem‑solving skills. Additional Skills: - Excellent customer interfacing skills.", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:de854963141a9f943ac095223c032126:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.a93b76976cb9938ea1", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "de854963141a9f943ac095223c032126", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Technology Architect About Infosys: Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56+ countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next. RESPONSIBILITIES: - Define target architectures for upgraded applications, platforms and database systems. - Guide migration strategy, deployment approaches and integration design. - Review technical designs and ensure alignment with architectural standards. - Assess compatibility across systems, interfaces and data components. - Support performance, reliability and stability considerations during migration. - Prepare architectural documentation, guidelines and technical reference materials. - Identify technical risks and provide mitigation recommendations. - Collaborate with business, development, testing and infrastructure teams. SKILLS/COMPETENCIES: - Background in Computer Science, Engineering or related fields. - Experience in enterprise architecture or application/database migration. - Strong understanding of integration models, system design principles and operational architecture. - Ability to lead teams through complex technical transitions. - Strong communication and problem‑solving skills. Additional Skills: - Excellent customer interfacing skills.", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.b552ab85d7c7524df1", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "de854963141a9f943ac095223c032126", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Technology Architect About Infosys: Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56+ countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next. RESPONSIBILITIES: - Define target architectures for upgraded applications, platforms and database systems. - Guide migration strategy, deployment approaches and integration design. - Review technical designs and ensure alignment with architectural standards. - Assess compatibility across systems, interfaces and data components. - Support performance, reliability and stability considerations during migration. - Prepare architectural documentation, guidelines and technical reference materials. - Identify technical risks and provide mitigation recommendations. - Collaborate with business, development, testing and infrastructure teams. SKILLS/COMPETENCIES: - Background in Computer Science, Engineering or related fields. - Experience in enterprise architecture or application/database migration. - Strong understanding of integration models, system design principles and operational architecture. - Ability to lead teams through complex technical transitions. - Strong communication and problem‑solving skills. Additional Skills: - Excellent customer interfacing skills.", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25633&siteid=5439&PageType=JobDetails&jobid=2243893", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25633&siteid=5439&PageType=JobDetails&jobid=2243893", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "fdecaf7463813ac1d203ead3c80f298d", "title": "Head of AI Operations", "employer_name": "IG Group", "employer_slug": "ig-group", "location_text": "Cannon Street, London", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://ig.wd103.myworkdayjobs.com/EXT_IG/job/Cannon-Street-London/Head-of-AI-Operations_R_16920", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Head of AI Operations Cannon Street, London posted: Posted 30+ Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "operations", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.8594914d791c40710e", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "fdecaf7463813ac1d203ead3c80f298d", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Head of AI Operations", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.92df0c6441471924dc", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "fdecaf7463813ac1d203ead3c80f298d", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "operations", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:fdecaf7463813ac1d203ead3c80f298d:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ig.wd103.myworkdayjobs.com/EXT_IG/job/Cannon-Street-London/Head-of-AI-Operations_R_16920", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ig.wd103.myworkdayjobs.com/EXT_IG/job/Cannon-Street-London/Head-of-AI-Operations_R_16920", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "394d5811b93d4e35a7bd6be5e061ca41", "title": "Senior Machine Learning Engineer, AI Platform", "employer_name": "Adobe Inc.", "employer_slug": "adobe", "location_text": "San Jose", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R166678", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Machine Learning Engineer, AI Platform San Jose posted: Posted 30+ Days Ago", "parental_leave_weeks": 16, "non_birth_parent_leave_weeks": 16, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 90, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "parental_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.dd9aa045eb9ad1277a", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "394d5811b93d4e35a7bd6be5e061ca41", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Senior Machine Learning Engineer, AI Platform", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.ee1cbf913d0493bafe", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "394d5811b93d4e35a7bd6be5e061ca41", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:394d5811b93d4e35a7bd6be5e061ca41:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R166678", "source_values": [ "https://benefits.adobe.com/us/time-off/leaves-of-absence" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R166678", "source_values": [ "https://benefits.adobe.com/us/time-off/leaves-of-absence" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R166678", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R166678", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "fcea82e914823c8b23e17c62b0f063a3", "title": "Sr Staff Software Engineer (Backend)", "employer_name": "Databricks", "employer_slug": "databricks", "location_text": "Bengaluru, India", "country": "IN", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cnbc_disruptor50", "cbinsights_unicorn", "a16z" ], "posted_at": "2024-09-09T14:55:11.000Z", "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=7630152002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr Staff Software Engineer (Backend) Bengaluru, India (P-1174) We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide. Key Characteristics As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. Job Description At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.b6550f09446ddb9937", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "fcea82e914823c8b23e17c62b0f063a3", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Sr Staff Software Engineer (Backend) Bengaluru, India (P-1174) We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide. Key Characteristics As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. Job Description At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:fcea82e914823c8b23e17c62b0f063a3:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.eca00fbb9c4eb85b66", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "fcea82e914823c8b23e17c62b0f063a3", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Sr Staff Software Engineer (Backend) Bengaluru, India (P-1174) We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide. Key Characteristics As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. Job Description At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:fcea82e914823c8b23e17c62b0f063a3:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.771353a2b5dad56be2", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "fcea82e914823c8b23e17c62b0f063a3", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Sr Staff Software Engineer (Backend) Bengaluru, India (P-1174) We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide. Key Characteristics As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. Job Description At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.9758c9620b2904f6ac", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "fcea82e914823c8b23e17c62b0f063a3", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Sr Staff Software Engineer (Backend) Bengaluru, India (P-1174) We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide. Key Characteristics As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. Job Description At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://databricks.com/company/careers/open-positions/job?gh_jid=7630152002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://databricks.com/company/careers/open-positions/job?gh_jid=7630152002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://databricks.com/company/careers/open-positions/job?gh_jid=7630152002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "ffb56c53f45170973d02c3420995f665", "title": "Founding Software Engineer, Backend Infrastructure", "employer_name": "Credal.ai", "employer_slug": "credal-ai", "location_text": "Credal HQ (Brooklyn, NY) | OnSite", "country": "US", "employment_type": "unknown", "remote_status": "onsite", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/credal/9a492c8f-60e4-42e7-abff-0a8a36aece91", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Founding Software Engineer, Backend Infrastructure Credal HQ (Brooklyn, NY) | OnSite ABOUT US Our mission at Credal is to harness frontier AI for everyone building a better future. We accelerate the most complex, sophisticated operations of the most impactful institutions, while weaving security and governance into every part of our product. Our customers include the U.S. Dept of Health and Human Services, MongoDB, Comcast NBC Universal, Lattice, Wise (Transferwise), Checkr, and incident.io among others. We've raised over $10m to date with a ton of runway. You'll join a team of Thoughtful Doers™ from places like Palantir, Cruise, Meta, Uber, and Google. 📍 Credal is in-person in our spacious NYC office https://maps.app.goo.gl/r3CPzTcBnMys3o4T7 with meals provided. ABOUT THE ROLE We're looking for a founding backend-focused software engineer to help us build on our progress, with proven market demand from global enterprises, to a scalable, performant architecture while maintaining our industry leading security posture. What you'll do: - Own aspects of our stability, scalability and security as we onboard more customers and expand our product - Ensure we can successfully sync billions of records into our data platform from our customers' SaaS tools reliably - Contribute to architecture, design decisions, and code and product quality strategy - Engage directly with customers and our GTM team to discover and solve our customers' most complex and bleeding edge problems - Mentor junior engineers and continue raising our bar for engineering excellence - Take end-to-end ownership of our core products, built on… - Frontend: React, Typescript,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "rule:title_override", "db_column": "role_function" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "rule:title_override", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.a15635c9948000f726", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "ffb56c53f45170973d02c3420995f665", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Founding Software Engineer, Backend Infrastructure Credal HQ (Brooklyn, NY) | OnSite ABOUT US Our mission at Credal is to harness frontier AI for everyone building a better future. We accelerate the most complex, sophisticated operations of the most impactful institutions, while weaving security and governance into every part of our product. Our customers include the U.S. Dept of Health and Human Services, MongoDB, Comcast NBC Universal, Lattice, Wise (Transferwise), Checkr, and incident.io among others. We've raised over $10m to date with a ton of runway. You'll join a team of Thoughtful Doers™ from places like Palantir, Cruise, Meta, Uber, and Google. 📍 Credal is in-person in our spacious NYC office https://maps.app.goo.gl/r3CPzTcBnMys3o4T7 with meals provided. ABOUT THE ROLE We're looking for a founding backend-focused software engineer to help us build on our progress, with proven market demand from global enterprises, to a scalable, performant architecture while maintaining our industry leading security posture. What you'll do: - Own aspects of our stability, scalability and security as we onboard more customers and expand our product - Ensure we can successfully sync billions of records into our data platform from our customers' SaaS tools reliably - Contribute to architecture, design decisions, and code and product quality strategy - Engage directly with customers and our GTM team to discover and solve our customers' most complex and bleeding edge problems - Mentor junior engineers and continue raising our bar for engineering excellence - Take end-to-end ownership of our core products, built on… - Frontend: React, Typescript,", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:ffb56c53f45170973d02c3420995f665:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.c5dcb331aa55b20871", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "ffb56c53f45170973d02c3420995f665", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Founding Software Engineer, Backend Infrastructure Credal HQ (Brooklyn, NY) | OnSite ABOUT US Our mission at Credal is to harness frontier AI for everyone building a better future. We accelerate the most complex, sophisticated operations of the most impactful institutions, while weaving security and governance into every part of our product. Our customers include the U.S. Dept of Health and Human Services, MongoDB, Comcast NBC Universal, Lattice, Wise (Transferwise), Checkr, and incident.io among others. We've raised over $10m to date with a ton of runway. You'll join a team of Thoughtful Doers™ from places like Palantir, Cruise, Meta, Uber, and Google. 📍 Credal is in-person in our spacious NYC office https://maps.app.goo.gl/r3CPzTcBnMys3o4T7 with meals provided. ABOUT THE ROLE We're looking for a founding backend-focused software engineer to help us build on our progress, with proven market demand from global enterprises, to a scalable, performant architecture while maintaining our industry leading security posture. What you'll do: - Own aspects of our stability, scalability and security as we onboard more customers and expand our product - Ensure we can successfully sync billions of records into our data platform from our customers' SaaS tools reliably - Contribute to architecture, design decisions, and code and product quality strategy - Engage directly with customers and our GTM team to discover and solve our customers' most complex and bleeding edge problems - Mentor junior engineers and continue raising our bar for engineering excellence - Take end-to-end ownership of our core products, built on… - Frontend: React, Typescript,", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:ffb56c53f45170973d02c3420995f665:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.e71e0a454770ad123f", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "ffb56c53f45170973d02c3420995f665", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Credal.ai", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:ffb56c53f45170973d02c3420995f665:employer:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.01da46af5a93172ffd", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "ffb56c53f45170973d02c3420995f665", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Founding Software Engineer, Backend Infrastructure Credal HQ (Brooklyn, NY) | OnSite ABOUT US Our mission at Credal is to harness frontier AI for everyone building a better future. We accelerate the most complex, sophisticated operations of the most impactful institutions, while weaving security and governance into every part of our product. Our customers include the U.S. Dept of Health and Human Services, MongoDB, Comcast NBC Universal, Lattice, Wise (Transferwise), Checkr, and incident.io among others. We've raised over $10m to date with a ton of runway. You'll join a team of Thoughtful Doers™ from places like Palantir, Cruise, Meta, Uber, and Google. 📍 Credal is in-person in our spacious NYC office https://maps.app.goo.gl/r3CPzTcBnMys3o4T7 with meals provided. ABOUT THE ROLE We're looking for a founding backend-focused software engineer to help us build on our progress, with proven market demand from global enterprises, to a scalable, performant architecture while maintaining our industry leading security posture. What you'll do: - Own aspects of our stability, scalability and security as we onboard more customers and expand our product - Ensure we can successfully sync billions of records into our data platform from our customers' SaaS tools reliably - Contribute to architecture, design decisions, and code and product quality strategy - Engage directly with customers and our GTM team to discover and solve our customers' most complex and bleeding edge problems - Mentor junior engineers and continue raising our bar for engineering excellence - Take end-to-end ownership of our core products, built on… - Frontend: React, Typescript,", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.093411a4c9bbb112e6", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "ffb56c53f45170973d02c3420995f665", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Credal.ai", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/credal/9a492c8f-60e4-42e7-abff-0a8a36aece91", "source_values": [ "rule:remote_status" ], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/credal/9a492c8f-60e4-42e7-abff-0a8a36aece91", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/credal/9a492c8f-60e4-42e7-abff-0a8a36aece91", "source_values": [ "rule:title_override" ], "checked_at": null } } }, { "id": "f9ce413bd296895d35763eda1101919a", "title": "Software Engineer (Backend), Enterprise", "employer_name": "Scale AI", "employer_slug": "scale-ai", "location_text": "Budapest, Hungary", "country": "HU", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cnbc_disruptor50" ], "posted_at": "2025-11-14T10:55:33.000Z", "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4630032005", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer (Backend), Enterprise Budapest, Hungary At Scale AI, we're not just building AI tools-we're pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale. We're looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you'll build the core infrastructure that powers AI products for some of the world's largest enterprises-designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance. This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you. At Scale, we don't just follow AI advancements - we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI. You Will: - Design, build, and scale backend systems that power enterprise GenAI products, focusing", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 4, "years_experience_max": 8, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "series_f", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.63ba50ca7ae8f9d0cc", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "f9ce413bd296895d35763eda1101919a", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Scale AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.93cbdf62b7c3ef16ce", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "f9ce413bd296895d35763eda1101919a", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:f9ce413bd296895d35763eda1101919a:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/scaleai/jobs/4630032005", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/scaleai/jobs/4630032005", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/scaleai/jobs/4630032005", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "ffd1e86588a300570246c77e5ad2f956", "title": "Leader, Software Engineering", "employer_name": "Cisco", "employer_slug": "cisco", "location_text": "RTP, North Carolina, US", "country": "US", "employment_type": "full_time", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 149100, "salary_max": 218900, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 149100, "base_salary_max": 218900, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-16T00:00:00.000Z", "apply_url": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/RTP-North-Carolina-US/Leader--Software-Engineering_2010996-1", "apply_url_verified": true, "ats": "workday", "url_last_checked_alive": "2026-08-10T03:54:55.257Z", "removed_at": null, "description_excerpt": "Leader, Software Engineering RTP, North Carolina, US The application window is expected to close on: 05/08/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team Cisco IT is a transformation engine enabling people to do the best work of their lives! Our vision is to be loved as the world's best IT organization. We lead with user experience, accept agile ways of working, drive engineering efficiency, and deliver with Cloud first, shift left, AI powered technology. The Component Operations Supply Chain IT team is at the forefront of transforming our supply chain through technology. We specialize in implementing and optimizing our Supply Chain ERP solution, a critical backbone for managing everything from procurement to delivery. Our expertise ensures seamless integration of processes, providing real-time visibility and control over our entire supply chain operations. We empower data-driven decisions that enhance efficiency, reduce costs, and improve overall operational agility. What You'll Do: Lead, mentor, and develop software engineers, and technical project manager while fostering innovation, collaboration, and excellence Collaborate with technical leads to manage technical debt, improve performance, and guide architectural decisions Partner with Product, Supply Chain, Business Operations, and SMEs to clarify requirements and align priorities Monitor and resolve production issues to ensure system stability, data integrity, and timely support Remove obstacles, manage risks, and ensure teams have the tools and support needed for delivery Conduct 1:1s, performance reviews, and drive team health and engagement initiatives", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/858877/000085887725000111/csco-20250726.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "bonus_offered": { "field": "bonus_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "bonus_offered" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/858877/000085887725000111/csco-20250726.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "application_deadline": { "field": "application_deadline", "source": "llm:greenfield:inv_371_postfix", "db_column": "application_deadline" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 55, "travel_pct": 50, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.55c49aea810a6c6666", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "ffd1e86588a300570246c77e5ad2f956", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Leader, Software Engineering RTP, North Carolina, US The application window is expected to close on: 05/08/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team Cisco IT is a transformation engine enabling people to do the best work of their lives! Our vision is to be loved as the world's best IT organization. We lead with user experience, accept agile ways of working, drive engineering efficiency, and deliver with Cloud first, shift left, AI powered technology. The Component Operations Supply Chain IT team is at the forefront of transforming our supply chain through technology. We specialize in implementing and optimizing our Supply Chain ERP solution, a critical backbone for managing everything from procurement to delivery. Our expertise ensures seamless integration of processes, providing real-time visibility and control over our entire supply chain operations. We empower data-driven decisions that enhance efficiency, reduce costs, and improve overall operational agility. What You'll Do: Lead, mentor, and develop software engineers, and technical project manager while fostering innovation, collaboration, and excellence Collaborate with technical leads to manage technical debt, improve performance, and guide architectural decisions Partner with Product, Supply Chain, Business Operations, and SMEs to clarify requirements and align priorities Monitor and resolve production issues to ensure system stability, data integrity, and timely support Remove obstacles, manage risks, and ensure teams have the tools and support needed for delivery Conduct 1:1s, performance reviews, and drive team health and engagement initiatives", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:ffd1e86588a300570246c77e5ad2f956:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.ceb9e358de5ac990e3", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "ffd1e86588a300570246c77e5ad2f956", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Leader, Software Engineering RTP, North Carolina, US The application window is expected to close on: 05/08/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team Cisco IT is a transformation engine enabling people to do the best work of their lives! Our vision is to be loved as the world's best IT organization. We lead with user experience, accept agile ways of working, drive engineering efficiency, and deliver with Cloud first, shift left, AI powered technology. The Component Operations Supply Chain IT team is at the forefront of transforming our supply chain through technology. We specialize in implementing and optimizing our Supply Chain ERP solution, a critical backbone for managing everything from procurement to delivery. Our expertise ensures seamless integration of processes, providing real-time visibility and control over our entire supply chain operations. We empower data-driven decisions that enhance efficiency, reduce costs, and improve overall operational agility. What You'll Do: Lead, mentor, and develop software engineers, and technical project manager while fostering innovation, collaboration, and excellence Collaborate with technical leads to manage technical debt, improve performance, and guide architectural decisions Partner with Product, Supply Chain, Business Operations, and SMEs to clarify requirements and align priorities Monitor and resolve production issues to ensure system stability, data integrity, and timely support Remove obstacles, manage risks, and ensure teams have the tools and support needed for delivery Conduct 1:1s, performance reviews, and drive team health and engagement initiatives", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:ffd1e86588a300570246c77e5ad2f956:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.29cccb792294aed03f", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "ffd1e86588a300570246c77e5ad2f956", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Leader, Software Engineering RTP, North Carolina, US The application window is expected to close on: 05/08/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team Cisco IT is a transformation engine enabling people to do the best work of their lives! Our vision is to be loved as the world's best IT organization. We lead with user experience, accept agile ways of working, drive engineering efficiency, and deliver with Cloud first, shift left, AI powered technology. The Component Operations Supply Chain IT team is at the forefront of transforming our supply chain through technology. We specialize in implementing and optimizing our Supply Chain ERP solution, a critical backbone for managing everything from procurement to delivery. Our expertise ensures seamless integration of processes, providing real-time visibility and control over our entire supply chain operations. We empower data-driven decisions that enhance efficiency, reduce costs, and improve overall operational agility. What You'll Do: Lead, mentor, and develop software engineers, and technical project manager while fostering innovation, collaboration, and excellence Collaborate with technical leads to manage technical debt, improve performance, and guide architectural decisions Partner with Product, Supply Chain, Business Operations, and SMEs to clarify requirements and align priorities Monitor and resolve production issues to ensure system stability, data integrity, and timely support Remove obstacles, manage risks, and ensure teams have the tools and support needed for delivery Conduct 1:1s, performance reviews, and drive team health and engagement initiatives", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.79628ee091561449ed", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "ffd1e86588a300570246c77e5ad2f956", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Leader, Software Engineering RTP, North Carolina, US The application window is expected to close on: 05/08/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team Cisco IT is a transformation engine enabling people to do the best work of their lives! Our vision is to be loved as the world's best IT organization. We lead with user experience, accept agile ways of working, drive engineering efficiency, and deliver with Cloud first, shift left, AI powered technology. The Component Operations Supply Chain IT team is at the forefront of transforming our supply chain through technology. We specialize in implementing and optimizing our Supply Chain ERP solution, a critical backbone for managing everything from procurement to delivery. Our expertise ensures seamless integration of processes, providing real-time visibility and control over our entire supply chain operations. We empower data-driven decisions that enhance efficiency, reduce costs, and improve overall operational agility. What You'll Do: Lead, mentor, and develop software engineers, and technical project manager while fostering innovation, collaboration, and excellence Collaborate with technical leads to manage technical debt, improve performance, and guide architectural decisions Partner with Product, Supply Chain, Business Operations, and SMEs to clarify requirements and align priorities Monitor and resolve production issues to ensure system stability, data integrity, and timely support Remove obstacles, manage risks, and ensure teams have the tools and support needed for delivery Conduct 1:1s, performance reviews, and drive team health and engagement initiatives", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.trust.apply.ab1287dffe4a961428", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "ffd1e86588a300570246c77e5ad2f956", "signal_type": "trust_signal", "display_text": "Apply link reachable when checked", "tooltip": "The apply URL was reachable during the last recorded crawl-time liveness check; this is not a live guarantee.", "source_binding": "row_trust_evidence", "source_field": "apply_url_verified", "source_value": true, "matched_input": true, "derivation_source": "verified_source_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "trust_source_exists", "counts_for_non_trivial_query": false, "truth_verified": true, "exact": true, "priority": 10, "mobile_priority": 11, "ui": { "icon": "ExternalLink", "tone": "verified", "href": null }, "evidence_source": { "source_url": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/RTP-North-Carolina-US/Leader--Software-Engineering_2010996-1", "source_label": "Apply link", "source_date": "2026-08-10T03:54:55.257Z" } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": "2026-08-10T03:54:55.257Z", "apply_url_verification_status": "reachable_when_last_checked", "apply_url_verification_label": "Reachable when checked at 2026-08-10T03:54:55.257Z", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/RTP-North-Carolina-US/Leader--Software-Engineering_2010996-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/RTP-North-Carolina-US/Leader--Software-Engineering_2010996-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/RTP-North-Carolina-US/Leader--Software-Engineering_2010996-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/858877/000085887725000111/csco-20250726.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/858877/000085887725000111/csco-20250726.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/RTP-North-Carolina-US/Leader--Software-Engineering_2010996-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/RTP-North-Carolina-US/Leader--Software-Engineering_2010996-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/RTP-North-Carolina-US/Leader--Software-Engineering_2010996-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "b061107418e2739e3085ce169a42c95c", "title": "Member of Technical Staff (AI Inference Engineer)", "employer_name": "Perplexity", "employer_slug": "perplexity", "location_text": "London, UK, United Kingdom", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cnbc_disruptor50", "cbinsights_unicorn" ], "posted_at": "2026-04-13T19:39:28.371Z", "apply_url": "https://jobs.ashbyhq.com/perplexity/e4777627-ff8f-4257-8612-3a016bb58592", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Member of Technical Staff (AI Inference Engineer) London, UK, United Kingdom We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. Responsibilities: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. Who we're looking for: - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.dbfbf0fb7aff527839", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "b061107418e2739e3085ce169a42c95c", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Member of Technical Staff (AI Inference Engineer)", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.7acfc9a78e7203072b", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "b061107418e2739e3085ce169a42c95c", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:b061107418e2739e3085ce169a42c95c:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/perplexity/e4777627-ff8f-4257-8612-3a016bb58592", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/perplexity/e4777627-ff8f-4257-8612-3a016bb58592", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/perplexity/e4777627-ff8f-4257-8612-3a016bb58592", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/perplexity/e4777627-ff8f-4257-8612-3a016bb58592", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "13e106378fff71dca887c55a9dde6ec6", "title": "Process Technician Lead", "employer_name": "AptarGroup", "employer_slug": "aptargroup", "location_text": "Mukwonago, WI", "country": "US", "employment_type": "unknown", "remote_status": "onsite", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.aptar.com/job/Mukwonago-Process-Technician-Lead-WI-53149/1373296733/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Process Technician Lead Mukwonago, WI Join our team and Be You Be Aptar. Aptar is seeking a Process Technician Lead based in Mukwonago, WI this position will be fully onsite. This role provides advanced technical support and shift-level leadership for high-speed, high-cavitation injection molding operations within a closures manufacturing environment. This role combines expert-level process troubleshooting with structured coaching, training accountability, and shift-level process stability ownership. The Process Technician Lead supports Process Technician I-III development, drives process discipline, and partners with Process Tech Supervisor, Engineering and Production to ensure standard process are being followed and improving uptime, scrap performance, and system consistency. This is not solely an advanced individual contributor role. It includes formal mentorship, technical direction, and shift-level accountability for process standards As a Process Technician Lead , You Will: Lead troubleshooting of complex molding process instability, including fill imbalance, short shots, flash, splay, burn, dimensional drift, and cosmetic defects. Stabilize high-cavitation molds through structured analysis of the four plastic variables (heat, pressure, time, and distance). Oversee startup validation and ensure documented process windows are followed. Escalate chronic instability to Process Engineering with structured diagnostic documentation. Lead structured root cause analysis (RCA) events related to process performance.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/896622/000089662226000007/atr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/896622/000089662226000007/atr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.6b032eda2909b76546", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "13e106378fff71dca887c55a9dde6ec6", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Process Technician Lead Mukwonago, WI Join our team and Be You Be Aptar. Aptar is seeking a Process Technician Lead based in Mukwonago, WI this position will be fully onsite. This role provides advanced technical support and shift-level leadership for high-speed, high-cavitation injection molding operations within a closures manufacturing environment. This role combines expert-level process troubleshooting with structured coaching, training accountability, and shift-level process stability ownership. The Process Technician Lead supports Process Technician I-III development, drives process discipline, and partners with Process Tech Supervisor, Engineering and Production to ensure standard process are being followed and improving uptime, scrap performance, and system consistency. This is not solely an advanced individual contributor role. It includes formal mentorship, technical direction, and shift-level accountability for process standards As a Process Technician Lead , You Will: Lead troubleshooting of complex molding process instability, including fill imbalance, short shots, flash, splay, burn, dimensional drift, and cosmetic defects. Stabilize high-cavitation molds through structured analysis of the four plastic variables (heat, pressure, time, and distance). Oversee startup validation and ensure documented process windows are followed. Escalate chronic instability to Process Engineering with structured diagnostic documentation. Lead structured root cause analysis (RCA) events related to process performance.", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:13e106378fff71dca887c55a9dde6ec6:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.f7fd7e2505391019ed", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "13e106378fff71dca887c55a9dde6ec6", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Process Technician Lead Mukwonago, WI Join our team and Be You Be Aptar. Aptar is seeking a Process Technician Lead based in Mukwonago, WI this position will be fully onsite. This role provides advanced technical support and shift-level leadership for high-speed, high-cavitation injection molding operations within a closures manufacturing environment. This role combines expert-level process troubleshooting with structured coaching, training accountability, and shift-level process stability ownership. The Process Technician Lead supports Process Technician I-III development, drives process discipline, and partners with Process Tech Supervisor, Engineering and Production to ensure standard process are being followed and improving uptime, scrap performance, and system consistency. This is not solely an advanced individual contributor role. It includes formal mentorship, technical direction, and shift-level accountability for process standards As a Process Technician Lead , You Will: Lead troubleshooting of complex molding process instability, including fill imbalance, short shots, flash, splay, burn, dimensional drift, and cosmetic defects. Stabilize high-cavitation molds through structured analysis of the four plastic variables (heat, pressure, time, and distance). Oversee startup validation and ensure documented process windows are followed. Escalate chronic instability to Process Engineering with structured diagnostic documentation. Lead structured root cause analysis (RCA) events related to process performance.", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:13e106378fff71dca887c55a9dde6ec6:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.3c675d7c82dee355a7", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "13e106378fff71dca887c55a9dde6ec6", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Process Technician Lead Mukwonago, WI Join our team and Be You Be Aptar. Aptar is seeking a Process Technician Lead based in Mukwonago, WI this position will be fully onsite. This role provides advanced technical support and shift-level leadership for high-speed, high-cavitation injection molding operations within a closures manufacturing environment. This role combines expert-level process troubleshooting with structured coaching, training accountability, and shift-level process stability ownership. The Process Technician Lead supports Process Technician I-III development, drives process discipline, and partners with Process Tech Supervisor, Engineering and Production to ensure standard process are being followed and improving uptime, scrap performance, and system consistency. This is not solely an advanced individual contributor role. It includes formal mentorship, technical direction, and shift-level accountability for process standards As a Process Technician Lead , You Will: Lead troubleshooting of complex molding process instability, including fill imbalance, short shots, flash, splay, burn, dimensional drift, and cosmetic defects. Stabilize high-cavitation molds through structured analysis of the four plastic variables (heat, pressure, time, and distance). Oversee startup validation and ensure documented process windows are followed. Escalate chronic instability to Process Engineering with structured diagnostic documentation. Lead structured root cause analysis (RCA) events related to process performance.", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.bc38c4b84335aa144d", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "13e106378fff71dca887c55a9dde6ec6", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Process Technician Lead Mukwonago, WI Join our team and Be You Be Aptar. Aptar is seeking a Process Technician Lead based in Mukwonago, WI this position will be fully onsite. This role provides advanced technical support and shift-level leadership for high-speed, high-cavitation injection molding operations within a closures manufacturing environment. This role combines expert-level process troubleshooting with structured coaching, training accountability, and shift-level process stability ownership. The Process Technician Lead supports Process Technician I-III development, drives process discipline, and partners with Process Tech Supervisor, Engineering and Production to ensure standard process are being followed and improving uptime, scrap performance, and system consistency. This is not solely an advanced individual contributor role. It includes formal mentorship, technical direction, and shift-level accountability for process standards As a Process Technician Lead , You Will: Lead troubleshooting of complex molding process instability, including fill imbalance, short shots, flash, splay, burn, dimensional drift, and cosmetic defects. Stabilize high-cavitation molds through structured analysis of the four plastic variables (heat, pressure, time, and distance). Oversee startup validation and ensure documented process windows are followed. Escalate chronic instability to Process Engineering with structured diagnostic documentation. Lead structured root cause analysis (RCA) events related to process performance.", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.aptar.com/job/Mukwonago-Process-Technician-Lead-WI-53149/1373296733/", "source_values": [ "rule:remote_status" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.aptar.com/job/Mukwonago-Process-Technician-Lead-WI-53149/1373296733/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/896622/000089662226000007/atr-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/896622/000089662226000007/atr-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.aptar.com/job/Mukwonago-Process-Technician-Lead-WI-53149/1373296733/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.aptar.com/job/Mukwonago-Process-Technician-Lead-WI-53149/1373296733/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.aptar.com/job/Mukwonago-Process-Technician-Lead-WI-53149/1373296733/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "eaae3e302cae938b4ab5143ca2ee98ba", "title": "AI Data Associate with German, Artificial General Intelligence – Data Services", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Amman, JOR", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": true, "fertility_family_building_benefits": true, "adoption_assistance_offered": true, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-25T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10429572/ai-data-associate-with-german-artificial-general-intelligence-data-services", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Data Associate with German, Artificial General Intelligence – Data Services Amman, JOR AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team - Analyze root causes, identify error patterns, and propose", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "db_column": "parental_leave_weeks", "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 2, "years_experience_max": 7, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.4d7190fa2f0a758cfc", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "eaae3e302cae938b4ab5143ca2ee98ba", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "AI Data Associate with German, Artificial General Intelligence – Data Services", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.12a3af42ff6e3822d9", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "eaae3e302cae938b4ab5143ca2ee98ba", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:eaae3e302cae938b4ab5143ca2ee98ba:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10429572/ai-data-associate-with-german-artificial-general-intelligence-data-services", "source_values": [ "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10429572/ai-data-associate-with-german-artificial-general-intelligence-data-services", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10429572/ai-data-associate-with-german-artificial-general-intelligence-data-services", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10429572/ai-data-associate-with-german-artificial-general-intelligence-data-services", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10429572/ai-data-associate-with-german-artificial-general-intelligence-data-services", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10429572/ai-data-associate-with-german-artificial-general-intelligence-data-services", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "adoption_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10429572/ai-data-associate-with-german-artificial-general-intelligence-data-services", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "childcare_subsidy": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10429572/ai-data-associate-with-german-artificial-general-intelligence-data-services", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "14041b15a4a1c7095364564cbb1d11bc", "title": "Technology Support Representative II", "employer_name": "Domino's", "employer_slug": "domino-s", "location_text": "Ann Arbor, MI, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": true, "mental_health_support": true, "childcare_subsidy": true, "fertility_family_building_benefits": true, "adoption_assistance_offered": true, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.smartrecruiters.com/Dominos/744000131442564-technology-support-representative-ii", "apply_url_verified": false, "ats": "smartrecruiters", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Technology Support Representative II Ann Arbor, MI, United States Company Description: Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team! Job Description: The Technology Support III role owns complex technical issues and incidents end‑to‑end, ensuring system stability, risk mitigation, and customer trust. This role applies advanced diagnostics and systems thinking while leading incident triage, coordinating cross‑functional response, and serving as the primary bridge between GlobalCare and Engineering, Product, and Platform teams. The position plays a critical role in translating technical findings into business impact and institutionalizing learning across the support model. Main Responsibilities Own complex issues and incidents end‑to‑end, ensuring stability, risk mitigation, and customer trust Lead incident triage and coordination, driving urgency, clarity, and accountability across teams Apply systems thinking and advanced diagnostics to identify root cause and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1286681/000119312526062321/dpz-20251228.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1286681/000119312526062321/dpz-20251228.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "customer_success", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Retail", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.2d36786211019c4d93", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "14041b15a4a1c7095364564cbb1d11bc", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Technology Support Representative II Ann Arbor, MI, United States Company Description: Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team! Job Description: The Technology Support III role owns complex technical issues and incidents end‑to‑end, ensuring system stability, risk mitigation, and customer trust. This role applies advanced diagnostics and systems thinking while leading incident triage, coordinating cross‑functional response, and serving as the primary bridge between GlobalCare and Engineering, Product, and Platform teams. The position plays a critical role in translating technical findings into business impact and institutionalizing learning across the support model. Main Responsibilities Own complex issues and incidents end‑to‑end, ensuring stability, risk mitigation, and customer trust Lead incident triage and coordination, driving urgency, clarity, and accountability across teams Apply systems thinking and advanced diagnostics to identify root cause and", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:14041b15a4a1c7095364564cbb1d11bc:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.4e4abcde6c9a9d04fe", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "14041b15a4a1c7095364564cbb1d11bc", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Technology Support Representative II Ann Arbor, MI, United States Company Description: Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team! Job Description: The Technology Support III role owns complex technical issues and incidents end‑to‑end, ensuring system stability, risk mitigation, and customer trust. This role applies advanced diagnostics and systems thinking while leading incident triage, coordinating cross‑functional response, and serving as the primary bridge between GlobalCare and Engineering, Product, and Platform teams. The position plays a critical role in translating technical findings into business impact and institutionalizing learning across the support model. Main Responsibilities Own complex issues and incidents end‑to‑end, ensuring stability, risk mitigation, and customer trust Lead incident triage and coordination, driving urgency, clarity, and accountability across teams Apply systems thinking and advanced diagnostics to identify root cause and", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:14041b15a4a1c7095364564cbb1d11bc:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.1c12dbd1d3d5894dc5", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "14041b15a4a1c7095364564cbb1d11bc", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Technology Support Representative II Ann Arbor, MI, United States Company Description: Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team! Job Description: The Technology Support III role owns complex technical issues and incidents end‑to‑end, ensuring system stability, risk mitigation, and customer trust. This role applies advanced diagnostics and systems thinking while leading incident triage, coordinating cross‑functional response, and serving as the primary bridge between GlobalCare and Engineering, Product, and Platform teams. The position plays a critical role in translating technical findings into business impact and institutionalizing learning across the support model. Main Responsibilities Own complex issues and incidents end‑to‑end, ensuring stability, risk mitigation, and customer trust Lead incident triage and coordination, driving urgency, clarity, and accountability across teams Apply systems thinking and advanced diagnostics to identify root cause and", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.ec812ef0c4565fdb4e", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "14041b15a4a1c7095364564cbb1d11bc", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Technology Support Representative II Ann Arbor, MI, United States Company Description: Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team! Job Description: The Technology Support III role owns complex technical issues and incidents end‑to‑end, ensuring system stability, risk mitigation, and customer trust. This role applies advanced diagnostics and systems thinking while leading incident triage, coordinating cross‑functional response, and serving as the primary bridge between GlobalCare and Engineering, Product, and Platform teams. The position plays a critical role in translating technical findings into business impact and institutionalizing learning across the support model. Main Responsibilities Own complex issues and incidents end‑to‑end, ensuring stability, risk mitigation, and customer trust Lead incident triage and coordination, driving urgency, clarity, and accountability across teams Apply systems thinking and advanced diagnostics to identify root cause and", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1286681/000119312526062321/dpz-20251228.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1286681/000119312526062321/dpz-20251228.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Dominos/744000131442564-technology-support-representative-ii", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Dominos/744000131442564-technology-support-representative-ii", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Dominos/744000131442564-technology-support-representative-ii", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Dominos/744000131442564-technology-support-representative-ii", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Dominos/744000131442564-technology-support-representative-ii", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "adoption_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Dominos/744000131442564-technology-support-representative-ii", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "childcare_subsidy": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Dominos/744000131442564-technology-support-representative-ii", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-13T01:18:42.546Z" } } }, { "id": "d23eb09ecf360a263bea4e33660755fc", "title": "AI/ML Engineer", "employer_name": "CACI", "employer_slug": "caci", "location_text": "2 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-20T00:00:00.000Z", "apply_url": "https://caci.wd1.myworkdayjobs.com/External/job/Aurora-CO-US/AI-ML-Engineer_325181", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI/ML Engineer 2 Locations posted: Posted 23 Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/16058/000162828025038739/caci-20250630.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/16058/000162828025038739/caci-20250630.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.4adc9d3092b616a403", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "d23eb09ecf360a263bea4e33660755fc", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "AI/ML Engineer", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.70576e186d0423ebbf", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "d23eb09ecf360a263bea4e33660755fc", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:d23eb09ecf360a263bea4e33660755fc:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/16058/000162828025038739/caci-20250630.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/16058/000162828025038739/caci-20250630.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://caci.wd1.myworkdayjobs.com/External/job/Aurora-CO-US/AI-ML-Engineer_325181", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://caci.wd1.myworkdayjobs.com/External/job/Aurora-CO-US/AI-ML-Engineer_325181", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "1692d3fd381667f1a18ad2a585aa797a", "title": "Political Analyst", "employer_name": "Other Agencies and Independent Organizations", "employer_slug": "other-agencies-and-independent-organizations", "location_text": "Washington, District of Columbia", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 63940, "salary_max": 158322, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 63940, "base_salary_max": 158322, "salary_disclosed": true, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2025-10-01T00:00:00.000Z", "apply_url": "https://www.usajobs.gov:443/job/851633800", "apply_url_verified": false, "ats": "usajobs", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Political Analyst Washington, District of Columbia Summary Political Analysts support US policymakers by producing written and oral assessments of the domestic politics, foreign policy, stability, and social issues of foreign governments and entities. Duties As a Political Analyst at CIA, you will support US policymakers by producing and delivering written and oral assessments of the domestic politics, foreign policy, stability, and social issues of foreign governments and entities. Political Analysts examine actors' goals and motivations, culture, values, history, society, decisionmaking processes, and ideologies and their implications for U.S. national security. You will have opportunities for foreign and domestic travel and language study. You will receive tradecraft and leadership training while increasing your substantive expertise through academic study, collaboration with Intelligence Community peers, and professional conferences. You may also participate in broadening assignments within the Agency and across the U.S. Government. Education Bachelor's or master's degree in: International Affairs Political Science At least a 3.0 GPA on a 4-point scale Evaluation For more information, please visit: https://www.cia.gov/careers/. How to Apply This post is for viewing purposes only. To get started, please visit https://www.cia.gov/careers/, where you can read more about this position and express your interest in up to four jobs. Upon expressing your interest, you will be taken to MyLINK, which allows you to submit your resume and job rankings and provide basic information about yourself. What to Expect Next After you express interest for up to four positions on cia.gov/careers, a CIA recruiter may contact you for further discussion if", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [ "DC" ], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "hire_states_allowed": { "field": "hire_states_allowed", "source": "rule:state_eligibility", "db_column": "hire_states_allowed" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Government", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.14e074423c4c98725d", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "1692d3fd381667f1a18ad2a585aa797a", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Political Analyst Washington, District of Columbia Summary Political Analysts support US policymakers by producing written and oral assessments of the domestic politics, foreign policy, stability, and social issues of foreign governments and entities. Duties As a Political Analyst at CIA, you will support US policymakers by producing and delivering written and oral assessments of the domestic politics, foreign policy, stability, and social issues of foreign governments and entities. Political Analysts examine actors' goals and motivations, culture, values, history, society, decisionmaking processes, and ideologies and their implications for U.S. national security. You will have opportunities for foreign and domestic travel and language study. You will receive tradecraft and leadership training while increasing your substantive expertise through academic study, collaboration with Intelligence Community peers, and professional conferences. You may also participate in broadening assignments within the Agency and across the U.S. Government. Education Bachelor's or master's degree in: International Affairs Political Science At least a 3.0 GPA on a 4-point scale Evaluation For more information, please visit: https://www.cia.gov/careers/. How to Apply This post is for viewing purposes only. To get started, please visit https://www.cia.gov/careers/, where you can read more about this position and express your interest in up to four jobs. Upon expressing your interest, you will be taken to MyLINK, which allows you to submit your resume and job rankings and provide basic information about yourself. What to Expect Next After you express interest for up to four positions on cia.gov/careers, a CIA recruiter may contact you for further discussion if", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:1692d3fd381667f1a18ad2a585aa797a:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.7892c6bcd843f85d92", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "1692d3fd381667f1a18ad2a585aa797a", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Political Analyst Washington, District of Columbia Summary Political Analysts support US policymakers by producing written and oral assessments of the domestic politics, foreign policy, stability, and social issues of foreign governments and entities. Duties As a Political Analyst at CIA, you will support US policymakers by producing and delivering written and oral assessments of the domestic politics, foreign policy, stability, and social issues of foreign governments and entities. Political Analysts examine actors' goals and motivations, culture, values, history, society, decisionmaking processes, and ideologies and their implications for U.S. national security. You will have opportunities for foreign and domestic travel and language study. You will receive tradecraft and leadership training while increasing your substantive expertise through academic study, collaboration with Intelligence Community peers, and professional conferences. You may also participate in broadening assignments within the Agency and across the U.S. Government. Education Bachelor's or master's degree in: International Affairs Political Science At least a 3.0 GPA on a 4-point scale Evaluation For more information, please visit: https://www.cia.gov/careers/. How to Apply This post is for viewing purposes only. To get started, please visit https://www.cia.gov/careers/, where you can read more about this position and express your interest in up to four jobs. Upon expressing your interest, you will be taken to MyLINK, which allows you to submit your resume and job rankings and provide basic information about yourself. What to Expect Next After you express interest for up to four positions on cia.gov/careers, a CIA recruiter may contact you for further discussion if", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:1692d3fd381667f1a18ad2a585aa797a:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.5d1c30ddf7d5df6900", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "1692d3fd381667f1a18ad2a585aa797a", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Political Analyst Washington, District of Columbia Summary Political Analysts support US policymakers by producing written and oral assessments of the domestic politics, foreign policy, stability, and social issues of foreign governments and entities. Duties As a Political Analyst at CIA, you will support US policymakers by producing and delivering written and oral assessments of the domestic politics, foreign policy, stability, and social issues of foreign governments and entities. Political Analysts examine actors' goals and motivations, culture, values, history, society, decisionmaking processes, and ideologies and their implications for U.S. national security. You will have opportunities for foreign and domestic travel and language study. You will receive tradecraft and leadership training while increasing your substantive expertise through academic study, collaboration with Intelligence Community peers, and professional conferences. You may also participate in broadening assignments within the Agency and across the U.S. Government. Education Bachelor's or master's degree in: International Affairs Political Science At least a 3.0 GPA on a 4-point scale Evaluation For more information, please visit: https://www.cia.gov/careers/. How to Apply This post is for viewing purposes only. To get started, please visit https://www.cia.gov/careers/, where you can read more about this position and express your interest in up to four jobs. Upon expressing your interest, you will be taken to MyLINK, which allows you to submit your resume and job rankings and provide basic information about yourself. What to Expect Next After you express interest for up to four positions on cia.gov/careers, a CIA recruiter may contact you for further discussion if", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.cf2627c4f5f736f827", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "1692d3fd381667f1a18ad2a585aa797a", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Political Analyst Washington, District of Columbia Summary Political Analysts support US policymakers by producing written and oral assessments of the domestic politics, foreign policy, stability, and social issues of foreign governments and entities. Duties As a Political Analyst at CIA, you will support US policymakers by producing and delivering written and oral assessments of the domestic politics, foreign policy, stability, and social issues of foreign governments and entities. Political Analysts examine actors' goals and motivations, culture, values, history, society, decisionmaking processes, and ideologies and their implications for U.S. national security. You will have opportunities for foreign and domestic travel and language study. You will receive tradecraft and leadership training while increasing your substantive expertise through academic study, collaboration with Intelligence Community peers, and professional conferences. You may also participate in broadening assignments within the Agency and across the U.S. Government. Education Bachelor's or master's degree in: International Affairs Political Science At least a 3.0 GPA on a 4-point scale Evaluation For more information, please visit: https://www.cia.gov/careers/. How to Apply This post is for viewing purposes only. To get started, please visit https://www.cia.gov/careers/, where you can read more about this position and express your interest in up to four jobs. Upon expressing your interest, you will be taken to MyLINK, which allows you to submit your resume and job rankings and provide basic information about yourself. What to Expect Next After you express interest for up to four positions on cia.gov/careers, a CIA recruiter may contact you for further discussion if", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/851633800", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/851633800", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/851633800", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "hire_states_allowed": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/851633800", "source_values": [ "rule:state_eligibility" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/851633800", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/851633800", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "17bbb8794a31035d170f56e614c59516", "title": "CPIT Product Manager (f/m/d) - International Trade Compliance", "employer_name": "SAP", "employer_slug": "sap", "location_text": "Region Europe | Country Germany | Internal Posting Location Walldorf", "country": "DE", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.sap.com/job/Walldorf-CPIT-Product-Manager-%28fmd%29-International-Trade-Compliance-69190/1376142433/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "CPIT Product Manager (f/m/d) - International Trade Compliance Region Europe | Country Germany | Internal Posting Location Walldorf We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll do Lead a collaborative team managing mission-critical trade control systems ensuring global compliance stability for digital product deliveries. Drive service stability accountability for integrated SAP GTS/BIS landscape and custom delivery systems, orchestrating team capabilities for optimal responsibility distribution Enable strategic business alignment with Export Control Legal/Operations on innovation initiatives, automation opportunities, and regulatory implementation strategies Facilitate collaborative delivery by empowering system architects for design decisions and process experts for business process optimization while maintaining oversight coordination Manage stakeholder relationships at management level, focusing on value generation through standard development partnerships and business process efficiency improvements Coordinate release management and technology roadmap alignment with SAP innovations, balancing compliance requirements with operational effectiv", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board", "db_column": "parental_leave_weeks", "source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "product", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.70a6070a777ef24ac2", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "17bbb8794a31035d170f56e614c59516", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "CPIT Product Manager (f/m/d) - International Trade Compliance Region Europe | Country Germany | Internal Posting Location Walldorf We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll do Lead a collaborative team managing mission-critical trade control systems ensuring global compliance stability for digital product deliveries. Drive service stability accountability for integrated SAP GTS/BIS landscape and custom delivery systems, orchestrating team capabilities for optimal responsibility distribution Enable strategic business alignment with Export Control Legal/Operations on innovation initiatives, automation opportunities, and regulatory implementation strategies Facilitate collaborative delivery by empowering system architects for design decisions and process experts for business process optimization while maintaining oversight coordination Manage stakeholder relationships at management level, focusing on value generation through standard development partnerships and business process efficiency improvements Coordinate release management and technology roadmap alignment with SAP innovations, balancing compliance requirements with operational effectiv", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:17bbb8794a31035d170f56e614c59516:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.ea1b6a2f5239a527a1", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "17bbb8794a31035d170f56e614c59516", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "CPIT Product Manager (f/m/d) - International Trade Compliance Region Europe | Country Germany | Internal Posting Location Walldorf We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll do Lead a collaborative team managing mission-critical trade control systems ensuring global compliance stability for digital product deliveries. Drive service stability accountability for integrated SAP GTS/BIS landscape and custom delivery systems, orchestrating team capabilities for optimal responsibility distribution Enable strategic business alignment with Export Control Legal/Operations on innovation initiatives, automation opportunities, and regulatory implementation strategies Facilitate collaborative delivery by empowering system architects for design decisions and process experts for business process optimization while maintaining oversight coordination Manage stakeholder relationships at management level, focusing on value generation through standard development partnerships and business process efficiency improvements Coordinate release management and technology roadmap alignment with SAP innovations, balancing compliance requirements with operational effectiv", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:17bbb8794a31035d170f56e614c59516:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.19fa5d3863d4b981c0", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "17bbb8794a31035d170f56e614c59516", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "CPIT Product Manager (f/m/d) - International Trade Compliance Region Europe | Country Germany | Internal Posting Location Walldorf We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll do Lead a collaborative team managing mission-critical trade control systems ensuring global compliance stability for digital product deliveries. Drive service stability accountability for integrated SAP GTS/BIS landscape and custom delivery systems, orchestrating team capabilities for optimal responsibility distribution Enable strategic business alignment with Export Control Legal/Operations on innovation initiatives, automation opportunities, and regulatory implementation strategies Facilitate collaborative delivery by empowering system architects for design decisions and process experts for business process optimization while maintaining oversight coordination Manage stakeholder relationships at management level, focusing on value generation through standard development partnerships and business process efficiency improvements Coordinate release management and technology roadmap alignment with SAP innovations, balancing compliance requirements with operational effectiv", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.24cbf779624020e8e3", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "17bbb8794a31035d170f56e614c59516", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "CPIT Product Manager (f/m/d) - International Trade Compliance Region Europe | Country Germany | Internal Posting Location Walldorf We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll do Lead a collaborative team managing mission-critical trade control systems ensuring global compliance stability for digital product deliveries. Drive service stability accountability for integrated SAP GTS/BIS landscape and custom delivery systems, orchestrating team capabilities for optimal responsibility distribution Enable strategic business alignment with Export Control Legal/Operations on innovation initiatives, automation opportunities, and regulatory implementation strategies Facilitate collaborative delivery by empowering system architects for design decisions and process experts for business process optimization while maintaining oversight coordination Manage stakeholder relationships at management level, focusing on value generation through standard development partnerships and business process efficiency improvements Coordinate release management and technology roadmap alignment with SAP innovations, balancing compliance requirements with operational effectiv", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.sap.com/job/Walldorf-CPIT-Product-Manager-%28fmd%29-International-Trade-Compliance-69190/1376142433/", "source_values": [ "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.sap.com/job/Walldorf-CPIT-Product-Manager-%28fmd%29-International-Trade-Compliance-69190/1376142433/", "source_values": [ "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.sap.com/job/Walldorf-CPIT-Product-Manager-%28fmd%29-International-Trade-Compliance-69190/1376142433/", "source_values": [ "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.sap.com/job/Walldorf-CPIT-Product-Manager-%28fmd%29-International-Trade-Compliance-69190/1376142433/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.sap.com/job/Walldorf-CPIT-Product-Manager-%28fmd%29-International-Trade-Compliance-69190/1376142433/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.sap.com/job/Walldorf-CPIT-Product-Manager-%28fmd%29-International-Trade-Compliance-69190/1376142433/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "a51fce7ab1bf03f12985f6dfee386caf", "title": "AI Engineer Senior", "employer_name": "General Dynamics Information Technology", "employer_slug": "general-dynamics-information-technology", "location_text": "USA VA Chantilly", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://gdit.wd5.myworkdayjobs.com/External_Career_Site/job/USA-VA-Chantilly/AI-Engineer-Senior_RQ216402-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Engineer Senior USA VA Chantilly posted: Posted 30+ Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/40533/000004053326000006/gd-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/40533/000004053326000006/gd-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.f4adcfc49f9fd5041d", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "a51fce7ab1bf03f12985f6dfee386caf", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "AI Engineer Senior", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.e9939872457f8419d6", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "a51fce7ab1bf03f12985f6dfee386caf", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:a51fce7ab1bf03f12985f6dfee386caf:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/40533/000004053326000006/gd-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/40533/000004053326000006/gd-20251231.htm" ], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://gdit.wd5.myworkdayjobs.com/External_Career_Site/job/USA-VA-Chantilly/AI-Engineer-Senior_RQ216402-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://gdit.wd5.myworkdayjobs.com/External_Career_Site/job/USA-VA-Chantilly/AI-Engineer-Senior_RQ216402-1", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "98a50e35355af14753cb22885f27233e", "title": "Applied AI Engineer, Fullstack Software Engineer - EMEA", "employer_name": "Mistral AI", "employer_slug": "mistral-ai", "location_text": "Paris", "country": "FR", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn", "a16z", "generalcatalyst" ], "posted_at": "2025-11-24T10:52:15.652Z", "apply_url": "https://jobs.lever.co/mistral/aceffeba-c4e9-4b3b-adff-e7e78b986c5c", "apply_url_verified": false, "ats": "lever", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Applied AI Engineer, Fullstack Software Engineer - EMEA Paris About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer - Software Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. What you will do • Collaborate closely with researchers, AI engineers, and product engineers on", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "growth-stage", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.0d8a24ab47a1f26b02", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "98a50e35355af14753cb22885f27233e", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Applied AI Engineer, Fullstack Software Engineer - EMEA Paris About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer - Software Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. What you will do • Collaborate closely with researchers, AI engineers, and product engineers on", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:98a50e35355af14753cb22885f27233e:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.e5f22e685f764241a5", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "98a50e35355af14753cb22885f27233e", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Mistral AI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:98a50e35355af14753cb22885f27233e:employer:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.6840dd4b0b3412d911", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "98a50e35355af14753cb22885f27233e", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Applied AI Engineer, Fullstack Software Engineer - EMEA", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:98a50e35355af14753cb22885f27233e:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.dccc09c86326a72a28", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "98a50e35355af14753cb22885f27233e", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Applied AI Engineer, Fullstack Software Engineer - EMEA", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.437de43d776207613b", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "98a50e35355af14753cb22885f27233e", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:98a50e35355af14753cb22885f27233e:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/mistral/aceffeba-c4e9-4b3b-adff-e7e78b986c5c", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/mistral/aceffeba-c4e9-4b3b-adff-e7e78b986c5c", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/mistral/aceffeba-c4e9-4b3b-adff-e7e78b986c5c", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/mistral/aceffeba-c4e9-4b3b-adff-e7e78b986c5c", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "0cf9ed97d51c04d85d6a2e4519329f3a", "title": "AI Software Architect, Forward Deployed", "employer_name": "Adobe Inc.", "employer_slug": "adobe", "location_text": "London", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/London/AI-Software-Architect--Forward-Deployed_R167846-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Software Architect, Forward Deployed London posted: Posted 30+ Days Ago", "parental_leave_weeks": 16, "non_birth_parent_leave_weeks": 16, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 90, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "parental_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.73b390fe6b84737cfe", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "0cf9ed97d51c04d85d6a2e4519329f3a", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "AI Software Architect, Forward Deployed", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.95c74d5b12e82f6a0b", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "0cf9ed97d51c04d85d6a2e4519329f3a", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:0cf9ed97d51c04d85d6a2e4519329f3a:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/London/AI-Software-Architect--Forward-Deployed_R167846-1", "source_values": [ "https://benefits.adobe.com/us/time-off/leaves-of-absence" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/London/AI-Software-Architect--Forward-Deployed_R167846-1", "source_values": [ "https://benefits.adobe.com/us/time-off/leaves-of-absence" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/London/AI-Software-Architect--Forward-Deployed_R167846-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/London/AI-Software-Architect--Forward-Deployed_R167846-1", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "17f1c63fa45eb06e725b49296f44f4cb", "title": "Technical Program Manager (TPM)", "employer_name": "Palantir Technologies", "employer_slug": "palantir-technologies", "location_text": "New York, NY", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 93000, "salary_max": 160000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "total_comp", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 93000, "base_salary_max": 160000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": true, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2021-05-07T21:20:47.869Z", "apply_url": "https://jobs.lever.co/palantir/7eb0dedb-37ee-4175-b29f-10a9e4340076", "apply_url_verified": false, "ats": "lever", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Technical Program Manager (TPM) New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Technical Program Manager (TPM), you are the engine behind Palantir's engineering teams. You partner with developers to optimize our development process and make sure we're shipping high quality products every day. You track and stabilize projects, remove roadblocks, and anticipate customer needs to free up our engineers to focus their time and attention on the technical problems they are best equipped to solve. This position requires a combination of project management, process optimization, technical proficiency and execution skills. You are a person who loves fixing problems, scaling technical solutions, and always embraces the best idea, even when it is not your own. The Role As a Technical Program Manager (TPM), you are the engine behind Palantir's engineering teams. You partner with developers to optimize our development process and make sure we're shipping high quality products every day. You track and stabilize projects, remove roadblocks, and anticipate customer needs to free up our engineers to focus their time and attention on the technical problems they are best equipped to solve. This position requires a combination of project management, process optimization, technical proficiency and execution skills. You are a person who loves fixing problems, scaling technical solutions, and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "bonus_offered": { "field": "bonus_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "bonus_offered" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "security_clearance": { "field": "security_clearance", "source": "llm:greenfield:inv_371_postfix", "db_column": "security_clearance" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 2, "years_experience_max": 9, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "secret", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.8b098dda50d5df5d3c", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "17f1c63fa45eb06e725b49296f44f4cb", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Technical Program Manager (TPM) New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Technical Program Manager (TPM), you are the engine behind Palantir's engineering teams. You partner with developers to optimize our development process and make sure we're shipping high quality products every day. You track and stabilize projects, remove roadblocks, and anticipate customer needs to free up our engineers to focus their time and attention on the technical problems they are best equipped to solve. This position requires a combination of project management, process optimization, technical proficiency and execution skills. You are a person who loves fixing problems, scaling technical solutions, and always embraces the best idea, even when it is not your own. The Role As a Technical Program Manager (TPM), you are the engine behind Palantir's engineering teams. You partner with developers to optimize our development process and make sure we're shipping high quality products every day. You track and stabilize projects, remove roadblocks, and anticipate customer needs to free up our engineers to focus their time and attention on the technical problems they are best equipped to solve. This position requires a combination of project management, process optimization, technical proficiency and execution skills. You are a person who loves fixing problems, scaling technical solutions, and", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:17f1c63fa45eb06e725b49296f44f4cb:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.fc9d7b69ce7435c2be", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "17f1c63fa45eb06e725b49296f44f4cb", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Technical Program Manager (TPM) New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Technical Program Manager (TPM), you are the engine behind Palantir's engineering teams. You partner with developers to optimize our development process and make sure we're shipping high quality products every day. You track and stabilize projects, remove roadblocks, and anticipate customer needs to free up our engineers to focus their time and attention on the technical problems they are best equipped to solve. This position requires a combination of project management, process optimization, technical proficiency and execution skills. You are a person who loves fixing problems, scaling technical solutions, and always embraces the best idea, even when it is not your own. The Role As a Technical Program Manager (TPM), you are the engine behind Palantir's engineering teams. You partner with developers to optimize our development process and make sure we're shipping high quality products every day. You track and stabilize projects, remove roadblocks, and anticipate customer needs to free up our engineers to focus their time and attention on the technical problems they are best equipped to solve. This position requires a combination of project management, process optimization, technical proficiency and execution skills. You are a person who loves fixing problems, scaling technical solutions, and", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/7eb0dedb-37ee-4175-b29f-10a9e4340076", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/7eb0dedb-37ee-4175-b29f-10a9e4340076", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/7eb0dedb-37ee-4175-b29f-10a9e4340076", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/7eb0dedb-37ee-4175-b29f-10a9e4340076", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/7eb0dedb-37ee-4175-b29f-10a9e4340076", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/7eb0dedb-37ee-4175-b29f-10a9e4340076", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/7eb0dedb-37ee-4175-b29f-10a9e4340076", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "4cf7c7d9163289dbbcce83ad8862859d", "title": "Researcher, Trustworthy AI", "employer_name": "OpenAI", "employer_slug": "openai", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cnbc_disruptor50", "cbinsights_unicorn", "a16z", "sequoia", "foundersfund" ], "posted_at": "2025-01-27T15:53:40.964Z", "apply_url": "https://jobs.ashbyhq.com/openai/71acba5c-dbae-406f-b983-f40943c43068", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Researcher, Trustworthy AI San Francisco, California, United States About the team The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Trustworthy AI team works on action relevant or decision relevant research to ensure we shape A(G)I keeping societal impacts in mind. This includes work on full stack policy problems such as building methods for public inputs into model values and understanding impacts of anthropomorphism of AI. We aim to translate nebulous policy problems to be technically tractable and measurable. We then use this work to inform and build interventions that increase societal readiness for increasingly intelligent systems. Our team also works on external assurances for AI with an aim for increasing independent checks and forming additional layers of validation. About the role We are looking to hire exceptional research scientists/engineers that can push the rigor of work needed to increase societal readiness for AGI. Specifically, we are looking for those that will enable us to translate nebulous policy problems to be technically tractable and measurable. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role, you will enable: - Set research and strategies to study societal impacts of our models in an action-relevant manner", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "growth-stage", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.3548aafc6fb3cfc092", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "4cf7c7d9163289dbbcce83ad8862859d", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Researcher, Trustworthy AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.7797973ec5c46bae53", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "4cf7c7d9163289dbbcce83ad8862859d", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:4cf7c7d9163289dbbcce83ad8862859d:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/openai/71acba5c-dbae-406f-b983-f40943c43068", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/openai/71acba5c-dbae-406f-b983-f40943c43068", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/openai/71acba5c-dbae-406f-b983-f40943c43068", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "1a80b0b83658abdbe9666bc28b80cee4", "title": "Forward Deployed Reliability Engineer", "employer_name": "Palantir Technologies", "employer_slug": "palantir-technologies", "location_text": "New York, NY", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 110000, "salary_max": 147000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "total_comp", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 110000, "base_salary_max": 147000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": true, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-02-10T14:31:06.362Z", "apply_url": "https://jobs.lever.co/palantir/689e6869-01bc-40f1-b580-adb33a020065", "apply_url_verified": false, "ats": "lever", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Forward Deployed Reliability Engineer New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Forward Deployed Reliability Engineer (FDRE), you ensure stability and reliability of mission-critical workflows built on Palantir software. You gather signal by going on call - resolving problems before the customer is impacted - and use those learnings to drive product change, shape our internal tooling, and refine our operational processes such that we provide an increasing quality of service to more and more customers. Your approach is hands-on and pragmatic: you'll rapidly address issues as they arise with quick and effective solutions and advocate for workflow or product improvements after the immediate issue is resolved. You are energized by engaging directly with problems, from writing a script to automate a manual task, to finding creative workarounds, or building a case for a product enhancement. You don't just fix issues- you look for opportunities to simplify, automate, and make the entire system more resilient. An FDRE synthesizes learnings from support into best practices for others to follow. These are captured into documentation and shared with the team and broader organization. In this way, you raise the bar for reliability and efficiency across Palantir. The Role As a Forward Deployed Reliability Engineer (FDRE), you ensure stability and reliability", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "weekend_work": { "field": "weekend_work", "source": "llm:greenfield:inv_371_postfix", "db_column": "weekend_work" }, "bonus_offered": { "field": "bonus_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "bonus_offered" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "us_citizenship_required": { "field": "us_citizenship_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "us_citizenship_required" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": true, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": true, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.1ebf41285a18a8efdd", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "1a80b0b83658abdbe9666bc28b80cee4", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Forward Deployed Reliability Engineer New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Forward Deployed Reliability Engineer (FDRE), you ensure stability and reliability of mission-critical workflows built on Palantir software. You gather signal by going on call - resolving problems before the customer is impacted - and use those learnings to drive product change, shape our internal tooling, and refine our operational processes such that we provide an increasing quality of service to more and more customers. Your approach is hands-on and pragmatic: you'll rapidly address issues as they arise with quick and effective solutions and advocate for workflow or product improvements after the immediate issue is resolved. You are energized by engaging directly with problems, from writing a script to automate a manual task, to finding creative workarounds, or building a case for a product enhancement. You don't just fix issues- you look for opportunities to simplify, automate, and make the entire system more resilient. An FDRE synthesizes learnings from support into best practices for others to follow. These are captured into documentation and shared with the team and broader organization. In this way, you raise the bar for reliability and efficiency across Palantir. The Role As a Forward Deployed Reliability Engineer (FDRE), you ensure stability and reliability", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:1a80b0b83658abdbe9666bc28b80cee4:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.a74bf7d3ca60a3a831", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "1a80b0b83658abdbe9666bc28b80cee4", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Forward Deployed Reliability Engineer New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Forward Deployed Reliability Engineer (FDRE), you ensure stability and reliability of mission-critical workflows built on Palantir software. You gather signal by going on call - resolving problems before the customer is impacted - and use those learnings to drive product change, shape our internal tooling, and refine our operational processes such that we provide an increasing quality of service to more and more customers. Your approach is hands-on and pragmatic: you'll rapidly address issues as they arise with quick and effective solutions and advocate for workflow or product improvements after the immediate issue is resolved. You are energized by engaging directly with problems, from writing a script to automate a manual task, to finding creative workarounds, or building a case for a product enhancement. You don't just fix issues- you look for opportunities to simplify, automate, and make the entire system more resilient. An FDRE synthesizes learnings from support into best practices for others to follow. These are captured into documentation and shared with the team and broader organization. In this way, you raise the bar for reliability and efficiency across Palantir. The Role As a Forward Deployed Reliability Engineer (FDRE), you ensure stability and reliability", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:1a80b0b83658abdbe9666bc28b80cee4:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.050feceefab18a1b44", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "1a80b0b83658abdbe9666bc28b80cee4", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Forward Deployed Reliability Engineer New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Forward Deployed Reliability Engineer (FDRE), you ensure stability and reliability of mission-critical workflows built on Palantir software. You gather signal by going on call - resolving problems before the customer is impacted - and use those learnings to drive product change, shape our internal tooling, and refine our operational processes such that we provide an increasing quality of service to more and more customers. Your approach is hands-on and pragmatic: you'll rapidly address issues as they arise with quick and effective solutions and advocate for workflow or product improvements after the immediate issue is resolved. You are energized by engaging directly with problems, from writing a script to automate a manual task, to finding creative workarounds, or building a case for a product enhancement. You don't just fix issues- you look for opportunities to simplify, automate, and make the entire system more resilient. An FDRE synthesizes learnings from support into best practices for others to follow. These are captured into documentation and shared with the team and broader organization. In this way, you raise the bar for reliability and efficiency across Palantir. The Role As a Forward Deployed Reliability Engineer (FDRE), you ensure stability and reliability", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.0c3d8811631623dae3", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "1a80b0b83658abdbe9666bc28b80cee4", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Forward Deployed Reliability Engineer New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Forward Deployed Reliability Engineer (FDRE), you ensure stability and reliability of mission-critical workflows built on Palantir software. You gather signal by going on call - resolving problems before the customer is impacted - and use those learnings to drive product change, shape our internal tooling, and refine our operational processes such that we provide an increasing quality of service to more and more customers. Your approach is hands-on and pragmatic: you'll rapidly address issues as they arise with quick and effective solutions and advocate for workflow or product improvements after the immediate issue is resolved. You are energized by engaging directly with problems, from writing a script to automate a manual task, to finding creative workarounds, or building a case for a product enhancement. You don't just fix issues- you look for opportunities to simplify, automate, and make the entire system more resilient. An FDRE synthesizes learnings from support into best practices for others to follow. These are captured into documentation and shared with the team and broader organization. In this way, you raise the bar for reliability and efficiency across Palantir. The Role As a Forward Deployed Reliability Engineer (FDRE), you ensure stability and reliability", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/689e6869-01bc-40f1-b580-adb33a020065", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/689e6869-01bc-40f1-b580-adb33a020065", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/689e6869-01bc-40f1-b580-adb33a020065", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/689e6869-01bc-40f1-b580-adb33a020065", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/689e6869-01bc-40f1-b580-adb33a020065", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/689e6869-01bc-40f1-b580-adb33a020065", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/689e6869-01bc-40f1-b580-adb33a020065", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "29b3607eda890b9752ddc6c272859954", "title": "Business Systems Analyst II, APAC Supply Chain", "employer_name": "Boston Scientific", "employer_slug": "boston-scientific", "location_text": "Penang", "country": "MY", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.bostonscientific.com/job/Penang-Business-Systems-Analyst-II%2C-APAC-Supply-Chain/1364658900/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Systems Analyst II, APAC Supply Chain Penang Purpose Statement: The Business System Analyst role will provide day-to-day operational support for SAP and an in-house Order-to-Cash (OTC) application, ensuring stability, quality, and continuous improvement of business processes. The role includes incident management, system enhancements, testing, data reporting & analytics, and stakeholder management across APAC. The ideal candidate is hands-on, detail-oriented, and comfortable working across IT and business teams in a fast-paced supply chain environment. Responsibilities: Operation Support Provide day ‑ to ‑ day operational support for SAP and the in ‑ house Order ‑ to ‑ Cash (OTC) application across the APAC supply chain, ensuring system stability and timely issue resolution. Handle user inquiries, troubleshoot system and process issues, and coordinate with technical teams or vendors for escalation and resolution when required. Perform routine monitoring of system jobs, integrations, and data flows; identify exceptions and drive timely corrective actions. Ensure adherence to internal controls, compliance standards, and documentation requirements for system access, changes, and operational activities. Collaborate with functional teams, regional business users, and IT partners to address operational issues and continuously improve process efficiency. Audit Support: Prepare and provide system reports, transaction evidence, and data extracts; support segregation ‑ of ‑ duties reviews; respond to audit inquiries and ensure do", "parental_leave_weeks": 8, "non_birth_parent_leave_weeks": 8, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.bostonscientific.com/content/dam/bostonscientific/corporate/citizenship/sustainability/2019_Boston_Scientific_Performance_Report.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/885725/000088572526000010/bsx-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/885725/000088572526000010/bsx-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.bostonscientific.com/content/dam/bostonscientific/corporate/citizenship/sustainability/2019_Boston_Scientific_Performance_Report.pdf", "db_column": "parental_leave_weeks", "source_url": "https://www.bostonscientific.com/content/dam/bostonscientific/corporate/citizenship/sustainability/2019_Boston_Scientific_Performance_Report.pdf" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.bostonscientific.com/content/dam/bostonscientific/corporate/citizenship/sustainability/2019_Boston_Scientific_Performance_Report.pdf", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.bostonscientific.com/content/dam/bostonscientific/corporate/citizenship/sustainability/2019_Boston_Scientific_Performance_Report.pdf" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Healthcare", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.70a0722d670f5d4c50", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "29b3607eda890b9752ddc6c272859954", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Business Systems Analyst II, APAC Supply Chain Penang Purpose Statement: The Business System Analyst role will provide day-to-day operational support for SAP and an in-house Order-to-Cash (OTC) application, ensuring stability, quality, and continuous improvement of business processes. The role includes incident management, system enhancements, testing, data reporting & analytics, and stakeholder management across APAC. The ideal candidate is hands-on, detail-oriented, and comfortable working across IT and business teams in a fast-paced supply chain environment. Responsibilities: Operation Support Provide day ‑ to ‑ day operational support for SAP and the in ‑ house Order ‑ to ‑ Cash (OTC) application across the APAC supply chain, ensuring system stability and timely issue resolution. Handle user inquiries, troubleshoot system and process issues, and coordinate with technical teams or vendors for escalation and resolution when required. Perform routine monitoring of system jobs, integrations, and data flows; identify exceptions and drive timely corrective actions. Ensure adherence to internal controls, compliance standards, and documentation requirements for system access, changes, and operational activities. Collaborate with functional teams, regional business users, and IT partners to address operational issues and continuously improve process efficiency. Audit Support: Prepare and provide system reports, transaction evidence, and data extracts; support segregation ‑ of ‑ duties reviews; respond to audit inquiries and ensure do", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:29b3607eda890b9752ddc6c272859954:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.76ec27ca1765e2108e", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "29b3607eda890b9752ddc6c272859954", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Business Systems Analyst II, APAC Supply Chain Penang Purpose Statement: The Business System Analyst role will provide day-to-day operational support for SAP and an in-house Order-to-Cash (OTC) application, ensuring stability, quality, and continuous improvement of business processes. The role includes incident management, system enhancements, testing, data reporting & analytics, and stakeholder management across APAC. The ideal candidate is hands-on, detail-oriented, and comfortable working across IT and business teams in a fast-paced supply chain environment. Responsibilities: Operation Support Provide day ‑ to ‑ day operational support for SAP and the in ‑ house Order ‑ to ‑ Cash (OTC) application across the APAC supply chain, ensuring system stability and timely issue resolution. Handle user inquiries, troubleshoot system and process issues, and coordinate with technical teams or vendors for escalation and resolution when required. Perform routine monitoring of system jobs, integrations, and data flows; identify exceptions and drive timely corrective actions. Ensure adherence to internal controls, compliance standards, and documentation requirements for system access, changes, and operational activities. Collaborate with functional teams, regional business users, and IT partners to address operational issues and continuously improve process efficiency. Audit Support: Prepare and provide system reports, transaction evidence, and data extracts; support segregation ‑ of ‑ duties reviews; respond to audit inquiries and ensure do", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:29b3607eda890b9752ddc6c272859954:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.cddd90deef3a8a931c", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "29b3607eda890b9752ddc6c272859954", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Business Systems Analyst II, APAC Supply Chain", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:29b3607eda890b9752ddc6c272859954:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.a29cb2d893702c7971", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "29b3607eda890b9752ddc6c272859954", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Business Systems Analyst II, APAC Supply Chain Penang Purpose Statement: The Business System Analyst role will provide day-to-day operational support for SAP and an in-house Order-to-Cash (OTC) application, ensuring stability, quality, and continuous improvement of business processes. The role includes incident management, system enhancements, testing, data reporting & analytics, and stakeholder management across APAC. The ideal candidate is hands-on, detail-oriented, and comfortable working across IT and business teams in a fast-paced supply chain environment. Responsibilities: Operation Support Provide day ‑ to ‑ day operational support for SAP and the in ‑ house Order ‑ to ‑ Cash (OTC) application across the APAC supply chain, ensuring system stability and timely issue resolution. Handle user inquiries, troubleshoot system and process issues, and coordinate with technical teams or vendors for escalation and resolution when required. Perform routine monitoring of system jobs, integrations, and data flows; identify exceptions and drive timely corrective actions. Ensure adherence to internal controls, compliance standards, and documentation requirements for system access, changes, and operational activities. Collaborate with functional teams, regional business users, and IT partners to address operational issues and continuously improve process efficiency. Audit Support: Prepare and provide system reports, transaction evidence, and data extracts; support segregation ‑ of ‑ duties reviews; respond to audit inquiries and ensure do", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.6e9b95327b8ac4480b", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "29b3607eda890b9752ddc6c272859954", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Business Systems Analyst II, APAC Supply Chain", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/885725/000088572526000010/bsx-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/885725/000088572526000010/bsx-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.bostonscientific.com/job/Penang-Business-Systems-Analyst-II%2C-APAC-Supply-Chain/1364658900/", "source_values": [ "https://www.bostonscientific.com/content/dam/bostonscientific/corporate/citizenship/sustainability/2019_Boston_Scientific_Performance_Report.pdf" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.bostonscientific.com/job/Penang-Business-Systems-Analyst-II%2C-APAC-Supply-Chain/1364658900/", "source_values": [ "https://www.bostonscientific.com/content/dam/bostonscientific/corporate/citizenship/sustainability/2019_Boston_Scientific_Performance_Report.pdf" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.bostonscientific.com/job/Penang-Business-Systems-Analyst-II%2C-APAC-Supply-Chain/1364658900/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.bostonscientific.com/job/Penang-Business-Systems-Analyst-II%2C-APAC-Supply-Chain/1364658900/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.bostonscientific.com/job/Penang-Business-Systems-Analyst-II%2C-APAC-Supply-Chain/1364658900/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "3ca093a496a50bd841ef332d3aeae792", "title": "AI Agentic Senior Engineer", "employer_name": "Truist Financial Corporation", "employer_slug": "truist-financial", "location_text": "Charlotte, NC", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-19T00:00:00.000Z", "apply_url": "https://truist.wd1.myworkdayjobs.com/Careers/job/Charlotte-NC/AI-Agentic--Engineer_R0113082", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Agentic Senior Engineer Charlotte, NC posted: Posted 24 Days Ago", "parental_leave_weeks": 10, "non_birth_parent_leave_weeks": 10, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://benefits.truist.com/work-life/time-off/leaves-of-absence", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 85, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/92230/000009223026000030/tfc-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/92230/000009223026000030/tfc-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://benefits.truist.com/work-life/time-off/leaves-of-absence", "db_column": "parental_leave_weeks", "source_url": "https://benefits.truist.com/work-life/time-off/leaves-of-absence" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://benefits.truist.com/work-life/time-off/leaves-of-absence", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://benefits.truist.com/work-life/time-off/leaves-of-absence" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.b1893dcc73c7c9331b", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "3ca093a496a50bd841ef332d3aeae792", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "AI Agentic Senior Engineer", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.8c39ee869124f6eb82", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "3ca093a496a50bd841ef332d3aeae792", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:3ca093a496a50bd841ef332d3aeae792:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/92230/000009223026000030/tfc-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/92230/000009223026000030/tfc-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://truist.wd1.myworkdayjobs.com/Careers/job/Charlotte-NC/AI-Agentic--Engineer_R0113082", "source_values": [ "https://benefits.truist.com/work-life/time-off/leaves-of-absence" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://truist.wd1.myworkdayjobs.com/Careers/job/Charlotte-NC/AI-Agentic--Engineer_R0113082", "source_values": [ "https://benefits.truist.com/work-life/time-off/leaves-of-absence" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://truist.wd1.myworkdayjobs.com/Careers/job/Charlotte-NC/AI-Agentic--Engineer_R0113082", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://truist.wd1.myworkdayjobs.com/Careers/job/Charlotte-NC/AI-Agentic--Engineer_R0113082", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "2b3bb39c5e7179a28cfad030e291026f", "title": "Operations Analyst - US Government Security", "employer_name": "Palantir Technologies", "employer_slug": "palantir-technologies", "location_text": "New York, NY", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 70000, "salary_max": 125000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "total_comp", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 70000, "base_salary_max": 125000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": true, "adoption_assistance_offered": null, "surrogacy_assistance_offered": true, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-09T16:29:25.226Z", "apply_url": "https://jobs.lever.co/palantir/2df67493-ffb3-4b34-bf3b-88b6750c3ea7", "apply_url_verified": false, "ats": "lever", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Operations Analyst - US Government Security New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As an Operations Analyst supporting our US Government teams, you keep the mission moving by tracking and stabilizing projects, removing roadblocks, owning operational outcomes, and staying two steps ahead so the team can focus on what they do best. This role demands a varying range of responsibilities; you could be managing a classified facility and vendors one hour and scoping process improvement initiatives the next. You're a first-responder by instinct, a systems thinker by habit, someone who finds order in ambiguity, sees friction as a problem worth solving and shows up everyday with a Get Things Done mentality. Communication and attention to detail are core to how you operate, not afterthoughts. You'll be part of a high-accountability, high-expectation team that is just as invested in each other's success as they are in Palantir's mission. Feedback isn't just welcomed here, it's how we get better. The Role As an Operations Analyst supporting our US Government teams, you keep the mission moving by tracking and stabilizing projects, removing roadblocks, owning operational outcomes, and staying two steps ahead so the team can focus on what they do best. This role demands a varying range of responsibilities; you could be", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "bonus_offered": { "field": "bonus_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "bonus_offered" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "security_clearance": { "field": "security_clearance", "source": "llm:greenfield:inv_371_postfix", "db_column": "security_clearance" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "surrogacy_assistance_offered": { "field": "surrogacy_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "surrogacy_assistance_offered" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "secret", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.02aaa8b80382f82c9f", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "2b3bb39c5e7179a28cfad030e291026f", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Operations Analyst - US Government Security New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As an Operations Analyst supporting our US Government teams, you keep the mission moving by tracking and stabilizing projects, removing roadblocks, owning operational outcomes, and staying two steps ahead so the team can focus on what they do best. This role demands a varying range of responsibilities; you could be managing a classified facility and vendors one hour and scoping process improvement initiatives the next. You're a first-responder by instinct, a systems thinker by habit, someone who finds order in ambiguity, sees friction as a problem worth solving and shows up everyday with a Get Things Done mentality. Communication and attention to detail are core to how you operate, not afterthoughts. You'll be part of a high-accountability, high-expectation team that is just as invested in each other's success as they are in Palantir's mission. Feedback isn't just welcomed here, it's how we get better. The Role As an Operations Analyst supporting our US Government teams, you keep the mission moving by tracking and stabilizing projects, removing roadblocks, owning operational outcomes, and staying two steps ahead so the team can focus on what they do best. This role demands a varying range of responsibilities; you could be", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:2b3bb39c5e7179a28cfad030e291026f:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.15a1c9c81374cd25cb", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "2b3bb39c5e7179a28cfad030e291026f", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Operations Analyst - US Government Security New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As an Operations Analyst supporting our US Government teams, you keep the mission moving by tracking and stabilizing projects, removing roadblocks, owning operational outcomes, and staying two steps ahead so the team can focus on what they do best. This role demands a varying range of responsibilities; you could be managing a classified facility and vendors one hour and scoping process improvement initiatives the next. You're a first-responder by instinct, a systems thinker by habit, someone who finds order in ambiguity, sees friction as a problem worth solving and shows up everyday with a Get Things Done mentality. Communication and attention to detail are core to how you operate, not afterthoughts. You'll be part of a high-accountability, high-expectation team that is just as invested in each other's success as they are in Palantir's mission. Feedback isn't just welcomed here, it's how we get better. The Role As an Operations Analyst supporting our US Government teams, you keep the mission moving by tracking and stabilizing projects, removing roadblocks, owning operational outcomes, and staying two steps ahead so the team can focus on what they do best. This role demands a varying range of responsibilities; you could be", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/2df67493-ffb3-4b34-bf3b-88b6750c3ea7", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/2df67493-ffb3-4b34-bf3b-88b6750c3ea7", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/2df67493-ffb3-4b34-bf3b-88b6750c3ea7", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/2df67493-ffb3-4b34-bf3b-88b6750c3ea7", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/2df67493-ffb3-4b34-bf3b-88b6750c3ea7", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/2df67493-ffb3-4b34-bf3b-88b6750c3ea7", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "surrogacy_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/2df67493-ffb3-4b34-bf3b-88b6750c3ea7", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "bfda742d92b1994aa2aef6dec0fad534", "title": "Head of Engineering", "employer_name": "David AI", "employer_slug": "david-ai", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2025-08-13T17:45:24.716Z", "apply_url": "https://jobs.ashbyhq.com/david-ai/33753385-f0fd-431b-8047-9021805f9b32", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Head of Engineering San Francisco, California, United States About David AI David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Engineering team At David AI, our engineers build the pipelines, platforms, and models that transform raw audio into high-signal data for leading AI labs and enterprises. We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world's first audio data research company. We move fast, own our work end-to-end, and ship to production daily. Our team designs real-time pipelines handling terabytes of speech data and deploys", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "unlimited_pto": { "field": "unlimited_pto", "source": "llm:greenfield:inv_371_postfix", "db_column": "unlimited_pto" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "series_b", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.94dce851f166515a3b", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "bfda742d92b1994aa2aef6dec0fad534", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "David AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.0daa5eac1a209e7bf4", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "bfda742d92b1994aa2aef6dec0fad534", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:bfda742d92b1994aa2aef6dec0fad534:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "unlimited_pto": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/david-ai/33753385-f0fd-431b-8047-9021805f9b32", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/david-ai/33753385-f0fd-431b-8047-9021805f9b32", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/david-ai/33753385-f0fd-431b-8047-9021805f9b32", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/david-ai/33753385-f0fd-431b-8047-9021805f9b32", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "2d610f58bc47a0694f549c38decadb9d", "title": "Data Scientist, AI/ML Model Quality", "employer_name": "Apple", "employer_slug": "apple", "location_text": "Austin, United States of America", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 139500, "salary_max": 258100, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 139500, "base_salary_max": 258100, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-11T05:43:58.501Z", "apply_url": "https://jobs.apple.com/en-us/details/200667346/data-scientist-ai-ml-model-quality?team=SFTWR", "apply_url_verified": false, "ats": "apple_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Data Scientist, AI/ML Model Quality Austin, United States of America Would you like to contribute to Machine Learning and Generative AI technologies? Are you passionate about the integrity of the data that powers AI systems at scale? Do you believe that trustworthy data is the foundation of every great model? We truly believe it is! We are defining what exceptional data quality looks like for machine learning across Wallet, Payments, and Commerce. As a Data Scientist, AI/ML Model Quality, you will build and maintain intelligent systems, validation frameworks, and monitoring pipelines that keep our data ecosystem healthy - ensuring that every model we build is trained, evaluated, and deployed on data we can trust. Your work sits at the foundation of every ML feature that reaches hundreds of millions of users. You'll work at the intersection of statistical rigor and production systems, collaborating closely with ML Engineering, Data Engineering, Privacy, and Legal teams. This unique opportunity puts you at the center of ML and AI quality - owning the health of training and validation datasets, defining and analyzing observability metrics to surface actionable product insights, and leading telemetry analysis across GenAI workflows - ensuring Apple's financial features are built on the highest-quality data, whether powering conventional ML models or the latest generative AI systems. The ideal candidate is a detail-obsessed data scientist who understands that model quality starts long before training - it starts with the data. You have strong statistical instincts, know how silent degradation and data drift manifest", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.de7e7b4a43223549ad", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "2d610f58bc47a0694f549c38decadb9d", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Data Scientist, AI/ML Model Quality", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.0d0b22a5bc02e0af57", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "2d610f58bc47a0694f549c38decadb9d", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:2d610f58bc47a0694f549c38decadb9d:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200667346/data-scientist-ai-ml-model-quality?team=SFTWR", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200667346/data-scientist-ai-ml-model-quality?team=SFTWR", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200667346/data-scientist-ai-ml-model-quality?team=SFTWR", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200667346/data-scientist-ai-ml-model-quality?team=SFTWR", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200667346/data-scientist-ai-ml-model-quality?team=SFTWR", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "2de9ea7e4f1481c40e18c8ce53b9b1ef", "title": "Incident Management Engineer", "employer_name": "Palantir Technologies", "employer_slug": "palantir-technologies", "location_text": "New York, NY", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 96000, "salary_max": 140000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "total_comp", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 96000, "base_salary_max": 140000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": true, "adoption_assistance_offered": null, "surrogacy_assistance_offered": true, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2022-06-28T09:21:31.395Z", "apply_url": "https://jobs.lever.co/palantir/b72abc17-293d-47e0-a094-c1ab0016b794", "apply_url_verified": false, "ats": "lever", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Incident Management Engineer New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Incident Management Engineers (IMEs) are the driving forces of stability across Palantir's products. IMEs help to ensure Palantir fixes critical issues immediately. When something goes wrong, IMEs are the first to respond and are responsible for triaging, troubleshooting, and coordinating the resolution of the issue. You'll be a member of a centralized team responsible for managing the most critical outages. You are an excellent communicator, collaborator, and troubleshooter and can use both of these skills in fast-paced and high-stakes environments. You are able to parse technical details quickly and know when to ask for help when you need it. Whatever the issue is, you are ensuring it gets resolved at a high bar as quickly and seamlessly as possible. The Role Incident Management Engineers (IMEs) are the driving forces of stability across Palantir's products. IMEs help to ensure Palantir fixes critical issues immediately. When something goes wrong, IMEs are the first to respond and are responsible for triaging, troubleshooting, and coordinating the resolution of the issue. You'll be a member of a centralized team responsible for managing the most critical outages. You are an excellent communicator, collaborator, and troubleshooter and can use both of these skills in fast-paced and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "bonus_offered": { "field": "bonus_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "bonus_offered" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "surrogacy_assistance_offered": { "field": "surrogacy_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "surrogacy_assistance_offered" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": true, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.210fc088b618bc82f3", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "2de9ea7e4f1481c40e18c8ce53b9b1ef", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Incident Management Engineer New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Incident Management Engineers (IMEs) are the driving forces of stability across Palantir's products. IMEs help to ensure Palantir fixes critical issues immediately. When something goes wrong, IMEs are the first to respond and are responsible for triaging, troubleshooting, and coordinating the resolution of the issue. You'll be a member of a centralized team responsible for managing the most critical outages. You are an excellent communicator, collaborator, and troubleshooter and can use both of these skills in fast-paced and high-stakes environments. You are able to parse technical details quickly and know when to ask for help when you need it. Whatever the issue is, you are ensuring it gets resolved at a high bar as quickly and seamlessly as possible. The Role Incident Management Engineers (IMEs) are the driving forces of stability across Palantir's products. IMEs help to ensure Palantir fixes critical issues immediately. When something goes wrong, IMEs are the first to respond and are responsible for triaging, troubleshooting, and coordinating the resolution of the issue. You'll be a member of a centralized team responsible for managing the most critical outages. You are an excellent communicator, collaborator, and troubleshooter and can use both of these skills in fast-paced and", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:2de9ea7e4f1481c40e18c8ce53b9b1ef:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.fb00f3150dc9bf36fe", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "2de9ea7e4f1481c40e18c8ce53b9b1ef", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Incident Management Engineer New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Incident Management Engineers (IMEs) are the driving forces of stability across Palantir's products. IMEs help to ensure Palantir fixes critical issues immediately. When something goes wrong, IMEs are the first to respond and are responsible for triaging, troubleshooting, and coordinating the resolution of the issue. You'll be a member of a centralized team responsible for managing the most critical outages. You are an excellent communicator, collaborator, and troubleshooter and can use both of these skills in fast-paced and high-stakes environments. You are able to parse technical details quickly and know when to ask for help when you need it. Whatever the issue is, you are ensuring it gets resolved at a high bar as quickly and seamlessly as possible. The Role Incident Management Engineers (IMEs) are the driving forces of stability across Palantir's products. IMEs help to ensure Palantir fixes critical issues immediately. When something goes wrong, IMEs are the first to respond and are responsible for triaging, troubleshooting, and coordinating the resolution of the issue. You'll be a member of a centralized team responsible for managing the most critical outages. You are an excellent communicator, collaborator, and troubleshooter and can use both of these skills in fast-paced and", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:2de9ea7e4f1481c40e18c8ce53b9b1ef:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.0a893fba0aaa69c203", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "2de9ea7e4f1481c40e18c8ce53b9b1ef", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Incident Management Engineer New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Incident Management Engineers (IMEs) are the driving forces of stability across Palantir's products. IMEs help to ensure Palantir fixes critical issues immediately. When something goes wrong, IMEs are the first to respond and are responsible for triaging, troubleshooting, and coordinating the resolution of the issue. You'll be a member of a centralized team responsible for managing the most critical outages. You are an excellent communicator, collaborator, and troubleshooter and can use both of these skills in fast-paced and high-stakes environments. You are able to parse technical details quickly and know when to ask for help when you need it. Whatever the issue is, you are ensuring it gets resolved at a high bar as quickly and seamlessly as possible. The Role Incident Management Engineers (IMEs) are the driving forces of stability across Palantir's products. IMEs help to ensure Palantir fixes critical issues immediately. When something goes wrong, IMEs are the first to respond and are responsible for triaging, troubleshooting, and coordinating the resolution of the issue. You'll be a member of a centralized team responsible for managing the most critical outages. You are an excellent communicator, collaborator, and troubleshooter and can use both of these skills in fast-paced and", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.bdb79b158ee9df5777", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "2de9ea7e4f1481c40e18c8ce53b9b1ef", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Incident Management Engineer New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Incident Management Engineers (IMEs) are the driving forces of stability across Palantir's products. IMEs help to ensure Palantir fixes critical issues immediately. When something goes wrong, IMEs are the first to respond and are responsible for triaging, troubleshooting, and coordinating the resolution of the issue. You'll be a member of a centralized team responsible for managing the most critical outages. You are an excellent communicator, collaborator, and troubleshooter and can use both of these skills in fast-paced and high-stakes environments. You are able to parse technical details quickly and know when to ask for help when you need it. Whatever the issue is, you are ensuring it gets resolved at a high bar as quickly and seamlessly as possible. The Role Incident Management Engineers (IMEs) are the driving forces of stability across Palantir's products. IMEs help to ensure Palantir fixes critical issues immediately. When something goes wrong, IMEs are the first to respond and are responsible for triaging, troubleshooting, and coordinating the resolution of the issue. You'll be a member of a centralized team responsible for managing the most critical outages. You are an excellent communicator, collaborator, and troubleshooter and can use both of these skills in fast-paced and", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/b72abc17-293d-47e0-a094-c1ab0016b794", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/b72abc17-293d-47e0-a094-c1ab0016b794", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/b72abc17-293d-47e0-a094-c1ab0016b794", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/b72abc17-293d-47e0-a094-c1ab0016b794", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/b72abc17-293d-47e0-a094-c1ab0016b794", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/b72abc17-293d-47e0-a094-c1ab0016b794", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "surrogacy_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/b72abc17-293d-47e0-a094-c1ab0016b794", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "3f52ff75814ddef20943efcfeb11a4b7", "title": "DDSC Applications Service Analyst / DDSC アプリケーションサービス", "employer_name": "Dentsply Sirona", "employer_slug": "dentsply-sirona", "location_text": "Dentsply Sirona Japan (D056) | Location Japan", "country": "JP", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://careers.dentsplysirona.com/job/Shinagawa-ku-DDSC-Applications-Service-Analyst-DDSC-%E3%82%A2%E3%83%97%E3%83%AA%E3%82%B1%E3%83%BC%E3%82%B7%E3%83%A7%E3%83%B3%E3%82%B5%E3%83%BC%E3%83%93%E3%82%B9-Toky-140-0012/1380700233/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "DDSC Applications Service Analyst / DDSC アプリケーションサービス Dentsply Sirona Japan (D056) | Location Japan Requistion ID: 81974 Dentsply Sirona is the world's largest manufacturer of professional dental products and technologies, with over a century of innovation and service to the dental industry and patients worldwide. Dentsply Sirona develops, manufactures, and markets a comprehensive solutions offering including dental and oral health products as well as other consumable medical devices under a strong portfolio of world class brands. Dentsply Sirona's products provide innovative, high-quality, and effective solutions to advance patient care and deliver better and safer dental care. Dentsply Sirona's headquarter is located in Charlotte, North Carolina. The company's shares are listed in the United States on NASDAQ under the symbol XRAY. Visit www.dentsplysirona.com for more information about Dentsply Sirona and its products. The Application Service Analyst (ASA) is responsible for the overall support, stability, and continuous improvement of software applications used within the Atlantis and Simplant manufacturing environment. This role serves as the key interface between Software Development, IT and Operations, ensuring that all applications critical to production and manufacturing processes are effectively maintained, deployed, and supported to meet the demands of our short lead-time, custom manufacturing setting. The ASA ensures operational stability during all software implementations and upgrades by coordinating end-user training, validation activities, and structured depl", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/818479/000081847926000075/xray-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/818479/000081847926000075/xray-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.2dee1ff7a82669e024", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "3f52ff75814ddef20943efcfeb11a4b7", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "DDSC Applications Service Analyst / DDSC アプリケーションサービス Dentsply Sirona Japan (D056) | Location Japan Requistion ID: 81974 Dentsply Sirona is the world's largest manufacturer of professional dental products and technologies, with over a century of innovation and service to the dental industry and patients worldwide. Dentsply Sirona develops, manufactures, and markets a comprehensive solutions offering including dental and oral health products as well as other consumable medical devices under a strong portfolio of world class brands. Dentsply Sirona's products provide innovative, high-quality, and effective solutions to advance patient care and deliver better and safer dental care. Dentsply Sirona's headquarter is located in Charlotte, North Carolina. The company's shares are listed in the United States on NASDAQ under the symbol XRAY. Visit www.dentsplysirona.com for more information about Dentsply Sirona and its products. The Application Service Analyst (ASA) is responsible for the overall support, stability, and continuous improvement of software applications used within the Atlantis and Simplant manufacturing environment. This role serves as the key interface between Software Development, IT and Operations, ensuring that all applications critical to production and manufacturing processes are effectively maintained, deployed, and supported to meet the demands of our short lead-time, custom manufacturing setting. The ASA ensures operational stability during all software implementations and upgrades by coordinating end-user training, validation activities, and structured depl", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:3f52ff75814ddef20943efcfeb11a4b7:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.a893329e5622b8b828", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "3f52ff75814ddef20943efcfeb11a4b7", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "DDSC Applications Service Analyst / DDSC アプリケーションサービス Dentsply Sirona Japan (D056) | Location Japan Requistion ID: 81974 Dentsply Sirona is the world's largest manufacturer of professional dental products and technologies, with over a century of innovation and service to the dental industry and patients worldwide. Dentsply Sirona develops, manufactures, and markets a comprehensive solutions offering including dental and oral health products as well as other consumable medical devices under a strong portfolio of world class brands. Dentsply Sirona's products provide innovative, high-quality, and effective solutions to advance patient care and deliver better and safer dental care. Dentsply Sirona's headquarter is located in Charlotte, North Carolina. The company's shares are listed in the United States on NASDAQ under the symbol XRAY. Visit www.dentsplysirona.com for more information about Dentsply Sirona and its products. The Application Service Analyst (ASA) is responsible for the overall support, stability, and continuous improvement of software applications used within the Atlantis and Simplant manufacturing environment. This role serves as the key interface between Software Development, IT and Operations, ensuring that all applications critical to production and manufacturing processes are effectively maintained, deployed, and supported to meet the demands of our short lead-time, custom manufacturing setting. The ASA ensures operational stability during all software implementations and upgrades by coordinating end-user training, validation activities, and structured depl", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:3f52ff75814ddef20943efcfeb11a4b7:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.0ed8ed4af1a3988f93", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "3f52ff75814ddef20943efcfeb11a4b7", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "DDSC Applications Service Analyst / DDSC アプリケーションサービス Dentsply Sirona Japan (D056) | Location Japan Requistion ID: 81974 Dentsply Sirona is the world's largest manufacturer of professional dental products and technologies, with over a century of innovation and service to the dental industry and patients worldwide. Dentsply Sirona develops, manufactures, and markets a comprehensive solutions offering including dental and oral health products as well as other consumable medical devices under a strong portfolio of world class brands. Dentsply Sirona's products provide innovative, high-quality, and effective solutions to advance patient care and deliver better and safer dental care. Dentsply Sirona's headquarter is located in Charlotte, North Carolina. The company's shares are listed in the United States on NASDAQ under the symbol XRAY. Visit www.dentsplysirona.com for more information about Dentsply Sirona and its products. The Application Service Analyst (ASA) is responsible for the overall support, stability, and continuous improvement of software applications used within the Atlantis and Simplant manufacturing environment. This role serves as the key interface between Software Development, IT and Operations, ensuring that all applications critical to production and manufacturing processes are effectively maintained, deployed, and supported to meet the demands of our short lead-time, custom manufacturing setting. The ASA ensures operational stability during all software implementations and upgrades by coordinating end-user training, validation activities, and structured depl", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.8ea16657a83e996326", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "3f52ff75814ddef20943efcfeb11a4b7", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "DDSC Applications Service Analyst / DDSC アプリケーションサービス Dentsply Sirona Japan (D056) | Location Japan Requistion ID: 81974 Dentsply Sirona is the world's largest manufacturer of professional dental products and technologies, with over a century of innovation and service to the dental industry and patients worldwide. Dentsply Sirona develops, manufactures, and markets a comprehensive solutions offering including dental and oral health products as well as other consumable medical devices under a strong portfolio of world class brands. Dentsply Sirona's products provide innovative, high-quality, and effective solutions to advance patient care and deliver better and safer dental care. Dentsply Sirona's headquarter is located in Charlotte, North Carolina. The company's shares are listed in the United States on NASDAQ under the symbol XRAY. Visit www.dentsplysirona.com for more information about Dentsply Sirona and its products. The Application Service Analyst (ASA) is responsible for the overall support, stability, and continuous improvement of software applications used within the Atlantis and Simplant manufacturing environment. This role serves as the key interface between Software Development, IT and Operations, ensuring that all applications critical to production and manufacturing processes are effectively maintained, deployed, and supported to meet the demands of our short lead-time, custom manufacturing setting. The ASA ensures operational stability during all software implementations and upgrades by coordinating end-user training, validation activities, and structured depl", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/818479/000081847926000075/xray-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/818479/000081847926000075/xray-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.dentsplysirona.com/job/Shinagawa-ku-DDSC-Applications-Service-Analyst-DDSC-%E3%82%A2%E3%83%97%E3%83%AA%E3%82%B1%E3%83%BC%E3%82%B7%E3%83%A7%E3%83%B3%E3%82%B5%E3%83%BC%E3%83%93%E3%82%B9-Toky-140-0012/1380700233/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.dentsplysirona.com/job/Shinagawa-ku-DDSC-Applications-Service-Analyst-DDSC-%E3%82%A2%E3%83%97%E3%83%AA%E3%82%B1%E3%83%BC%E3%82%B7%E3%83%A7%E3%83%B3%E3%82%B5%E3%83%BC%E3%83%93%E3%82%B9-Toky-140-0012/1380700233/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.dentsplysirona.com/job/Shinagawa-ku-DDSC-Applications-Service-Analyst-DDSC-%E3%82%A2%E3%83%97%E3%83%AA%E3%82%B1%E3%83%BC%E3%82%B7%E3%83%A7%E3%83%B3%E3%82%B5%E3%83%BC%E3%83%93%E3%82%B9-Toky-140-0012/1380700233/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "4347f19d12137d9e78aa7b2b5d5b3479", "title": "AI Research Scientist - Datadog AI Research (DAIR)", "employer_name": "Datadog", "employer_slug": "datadog", "location_text": "New York, New York, USA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 140000, "salary_max": 400000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 140000, "base_salary_max": 400000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": true, "mental_health_support": true, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2025-01-24T14:48:23.000Z", "apply_url": "https://careers.datadoghq.com/detail/6572669/?gh_jid=6572669", "apply_url_verified": true, "ats": "greenhouse", "url_last_checked_alive": "2026-08-10T03:54:55.257Z", "removed_at": null, "description_excerpt": "AI Research Scientist - Datadog AI Research (DAIR) New York, New York, USA As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , and our time series foundation model ), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation (\"what if?\"), and provide a learned planning backbone for our autonomous agents. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure Design and build simulated environments and RL training loops for on-policy agent training and evaluation Collaborate", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1561550/000162828026008819/ddog-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1561550/000162828026008819/ddog-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.775d23bd7f3a84c9d2", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "4347f19d12137d9e78aa7b2b5d5b3479", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "AI Research Scientist - Datadog AI Research (DAIR)", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.713eb570fa2b47c5b4", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "4347f19d12137d9e78aa7b2b5d5b3479", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:4347f19d12137d9e78aa7b2b5d5b3479:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.trust.apply.682c0f72e1914fcba7", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "4347f19d12137d9e78aa7b2b5d5b3479", "signal_type": "trust_signal", "display_text": "Apply link reachable when checked", "tooltip": "The apply URL was reachable during the last recorded crawl-time liveness check; this is not a live guarantee.", "source_binding": "row_trust_evidence", "source_field": "apply_url_verified", "source_value": true, "matched_input": true, "derivation_source": "verified_source_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "trust_source_exists", "counts_for_non_trivial_query": false, "truth_verified": true, "exact": true, "priority": 10, "mobile_priority": 11, "ui": { "icon": "ExternalLink", "tone": "verified", "href": null }, "evidence_source": { "source_url": "https://careers.datadoghq.com/detail/6572669/?gh_jid=6572669", "source_label": "Apply link", "source_date": "2026-08-10T03:54:55.257Z" } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": "2026-08-10T03:54:55.257Z", "apply_url_verification_status": "reachable_when_last_checked", "apply_url_verification_label": "Reachable when checked at 2026-08-10T03:54:55.257Z", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.datadoghq.com/detail/6572669/?gh_jid=6572669", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.datadoghq.com/detail/6572669/?gh_jid=6572669", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.datadoghq.com/detail/6572669/?gh_jid=6572669", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1561550/000162828026008819/ddog-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1561550/000162828026008819/ddog-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.datadoghq.com/detail/6572669/?gh_jid=6572669", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.datadoghq.com/detail/6572669/?gh_jid=6572669", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.datadoghq.com/detail/6572669/?gh_jid=6572669", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.datadoghq.com/detail/6572669/?gh_jid=6572669", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.datadoghq.com/detail/6572669/?gh_jid=6572669", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-13T01:18:42.546Z" } } }, { "id": "44f3f348e5c3ce2c7c83d3826fb62d9b", "title": "Training, Process Management Engineer", "employer_name": "OpenAI", "employer_slug": "openai", "location_text": "London, UK, London, Greater London, United Kingdom", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cnbc_disruptor50", "cbinsights_unicorn", "a16z", "sequoia", "foundersfund" ], "posted_at": "2026-03-09T18:29:12.507Z", "apply_url": "https://jobs.ashbyhq.com/openai/0fc4742f-21f9-40a3-925e-adeb0a6920c1", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Training, Process Management Engineer London, UK, London, Greater London, United Kingdom About the Team Training Runtime designs the core distributed runtime that powers everything from early research experiments to frontier-scale model runs. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, with the goal of accelerating progress towards AGI. Within Training Runtime, the Process Management team develops the distributed OS responsible for launching, coordinating, and supervising the large numbers of processes that make up modern training workloads. Our runtime sits beneath training frameworks and on top of research infrastructure, ensuring jobs run reliably across massive clusters while maintaining performance, stability, and observability. Success for us is measured by both system reliability and researcher velocity - enabling ideas to scale from experiments to production training runs. About the Role As a Training Runtime: Process Management Engineer , you will work on the software that ties thousands of computers together and exposes them as a unified system. This system has to serve individual researchers running multiple parallel experiments, as well as our largest training runs spanning 100's of thousands and even millions of machines and accelerators. This requires easy to use, introspectable systems that can promote a fast debugging and development cycle, as well as relentless optimization for scale while maintaining stability and performance throughout. You will work primarily in Rust , building high-performance asynchronous systems with a strong emphasis on performance, correctness,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.06fa4c2270ab7dbf09", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "44f3f348e5c3ce2c7c83d3826fb62d9b", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Training, Process Management Engineer London, UK, London, Greater London, United Kingdom About the Team Training Runtime designs the core distributed runtime that powers everything from early research experiments to frontier-scale model runs. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, with the goal of accelerating progress towards AGI. Within Training Runtime, the Process Management team develops the distributed OS responsible for launching, coordinating, and supervising the large numbers of processes that make up modern training workloads. Our runtime sits beneath training frameworks and on top of research infrastructure, ensuring jobs run reliably across massive clusters while maintaining performance, stability, and observability. Success for us is measured by both system reliability and researcher velocity - enabling ideas to scale from experiments to production training runs. About the Role As a Training Runtime: Process Management Engineer , you will work on the software that ties thousands of computers together and exposes them as a unified system. This system has to serve individual researchers running multiple parallel experiments, as well as our largest training runs spanning 100's of thousands and even millions of machines and accelerators. This requires easy to use, introspectable systems that can promote a fast debugging and development cycle, as well as relentless optimization for scale while maintaining stability and performance throughout. You will work primarily in Rust , building high-performance asynchronous systems with a strong emphasis on performance, correctness,", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:44f3f348e5c3ce2c7c83d3826fb62d9b:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.35571aeae63ba204c9", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "44f3f348e5c3ce2c7c83d3826fb62d9b", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Training, Process Management Engineer London, UK, London, Greater London, United Kingdom About the Team Training Runtime designs the core distributed runtime that powers everything from early research experiments to frontier-scale model runs. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, with the goal of accelerating progress towards AGI. Within Training Runtime, the Process Management team develops the distributed OS responsible for launching, coordinating, and supervising the large numbers of processes that make up modern training workloads. Our runtime sits beneath training frameworks and on top of research infrastructure, ensuring jobs run reliably across massive clusters while maintaining performance, stability, and observability. Success for us is measured by both system reliability and researcher velocity - enabling ideas to scale from experiments to production training runs. About the Role As a Training Runtime: Process Management Engineer , you will work on the software that ties thousands of computers together and exposes them as a unified system. This system has to serve individual researchers running multiple parallel experiments, as well as our largest training runs spanning 100's of thousands and even millions of machines and accelerators. This requires easy to use, introspectable systems that can promote a fast debugging and development cycle, as well as relentless optimization for scale while maintaining stability and performance throughout. You will work primarily in Rust , building high-performance asynchronous systems with a strong emphasis on performance, correctness,", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:44f3f348e5c3ce2c7c83d3826fb62d9b:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.b7b373cef98f1ec8c2", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "44f3f348e5c3ce2c7c83d3826fb62d9b", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "OpenAI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:44f3f348e5c3ce2c7c83d3826fb62d9b:employer:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.7ec162f84490ea18e8", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "44f3f348e5c3ce2c7c83d3826fb62d9b", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Training, Process Management Engineer", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:44f3f348e5c3ce2c7c83d3826fb62d9b:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.89d1cc6496b5692de8", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "44f3f348e5c3ce2c7c83d3826fb62d9b", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Training, Process Management Engineer London, UK, London, Greater London, United Kingdom About the Team Training Runtime designs the core distributed runtime that powers everything from early research experiments to frontier-scale model runs. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, with the goal of accelerating progress towards AGI. Within Training Runtime, the Process Management team develops the distributed OS responsible for launching, coordinating, and supervising the large numbers of processes that make up modern training workloads. Our runtime sits beneath training frameworks and on top of research infrastructure, ensuring jobs run reliably across massive clusters while maintaining performance, stability, and observability. Success for us is measured by both system reliability and researcher velocity - enabling ideas to scale from experiments to production training runs. About the Role As a Training Runtime: Process Management Engineer , you will work on the software that ties thousands of computers together and exposes them as a unified system. This system has to serve individual researchers running multiple parallel experiments, as well as our largest training runs spanning 100's of thousands and even millions of machines and accelerators. This requires easy to use, introspectable systems that can promote a fast debugging and development cycle, as well as relentless optimization for scale while maintaining stability and performance throughout. You will work primarily in Rust , building high-performance asynchronous systems with a strong emphasis on performance, correctness,", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.3a1a20fe8d42b10ec0", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "44f3f348e5c3ce2c7c83d3826fb62d9b", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Training, Process Management Engineer", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/openai/0fc4742f-21f9-40a3-925e-adeb0a6920c1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/openai/0fc4742f-21f9-40a3-925e-adeb0a6920c1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "5503cbd65e61125459d526a48b1af45b", "title": "Assistant General Manager - FT Hours - 3659 Nasa Pkwy", "employer_name": "Domino's", "employer_slug": "domino-s", "location_text": "Seabrook, TX, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T17:37:43.000Z", "apply_url": "https://jobs.smartrecruiters.com/Dominos/744000131745100-assistant-general-manager-ft-hours-3659-nasa-pkwy", "apply_url_verified": false, "ats": "smartrecruiters", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Assistant General Manager - FT Hours - 3659 Nasa Pkwy Seabrook, TX, United States Company Description: Job Description: Job Description Assistant Managers are responsible for cost controls, inventory control, cash control, and customer relations while they are working a shift. What we offer: • A safe, rewarding, and fast paced working environment • Competitive hourly rate and benefits package • Training with an industry leading brand • Excellent career opportunities • Awesome discounts on menu items! What we're looking for in our Assistant Managers: • Prior leadership experience preferred • Assist with basic operations procedures • Experience in employee development • Ability to demonstrate team member and food safety protocols • Excellent customer service skills • Ability to operate and troubleshoot technology Qualifications Minimum Job Requirements (see the Job Description for full details): • Must be at least 18 years of age Additional information Domino's Team USA stores value honesty, transparency, and accountability, and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for our team members. Qualifications: Additional Information: At Domino's, we are a brand of honesty, transparency and accountability and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for you as a team member. The brand continues to deliver the “Power of Possible”", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1286681/000119312526062321/dpz-20251228.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1286681/000119312526062321/dpz-20251228.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Retail", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.c485aa8761c6f4a3c1", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5503cbd65e61125459d526a48b1af45b", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Assistant General Manager - FT Hours - 3659 Nasa Pkwy Seabrook, TX, United States Company Description: Job Description: Job Description Assistant Managers are responsible for cost controls, inventory control, cash control, and customer relations while they are working a shift. What we offer: • A safe, rewarding, and fast paced working environment • Competitive hourly rate and benefits package • Training with an industry leading brand • Excellent career opportunities • Awesome discounts on menu items! What we're looking for in our Assistant Managers: • Prior leadership experience preferred • Assist with basic operations procedures • Experience in employee development • Ability to demonstrate team member and food safety protocols • Excellent customer service skills • Ability to operate and troubleshoot technology Qualifications Minimum Job Requirements (see the Job Description for full details): • Must be at least 18 years of age Additional information Domino's Team USA stores value honesty, transparency, and accountability, and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for our team members. Qualifications: Additional Information: At Domino's, we are a brand of honesty, transparency and accountability and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for you as a team member. The brand continues to deliver the “Power of Possible”", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:5503cbd65e61125459d526a48b1af45b:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.f757157cbfa93f0f75", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5503cbd65e61125459d526a48b1af45b", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Assistant General Manager - FT Hours - 3659 Nasa Pkwy Seabrook, TX, United States Company Description: Job Description: Job Description Assistant Managers are responsible for cost controls, inventory control, cash control, and customer relations while they are working a shift. What we offer: • A safe, rewarding, and fast paced working environment • Competitive hourly rate and benefits package • Training with an industry leading brand • Excellent career opportunities • Awesome discounts on menu items! What we're looking for in our Assistant Managers: • Prior leadership experience preferred • Assist with basic operations procedures • Experience in employee development • Ability to demonstrate team member and food safety protocols • Excellent customer service skills • Ability to operate and troubleshoot technology Qualifications Minimum Job Requirements (see the Job Description for full details): • Must be at least 18 years of age Additional information Domino's Team USA stores value honesty, transparency, and accountability, and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for our team members. Qualifications: Additional Information: At Domino's, we are a brand of honesty, transparency and accountability and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for you as a team member. The brand continues to deliver the “Power of Possible”", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:5503cbd65e61125459d526a48b1af45b:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.16a23070248fede41d", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5503cbd65e61125459d526a48b1af45b", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Assistant General Manager - FT Hours - 3659 Nasa Pkwy Seabrook, TX, United States Company Description: Job Description: Job Description Assistant Managers are responsible for cost controls, inventory control, cash control, and customer relations while they are working a shift. What we offer: • A safe, rewarding, and fast paced working environment • Competitive hourly rate and benefits package • Training with an industry leading brand • Excellent career opportunities • Awesome discounts on menu items! What we're looking for in our Assistant Managers: • Prior leadership experience preferred • Assist with basic operations procedures • Experience in employee development • Ability to demonstrate team member and food safety protocols • Excellent customer service skills • Ability to operate and troubleshoot technology Qualifications Minimum Job Requirements (see the Job Description for full details): • Must be at least 18 years of age Additional information Domino's Team USA stores value honesty, transparency, and accountability, and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for our team members. Qualifications: Additional Information: At Domino's, we are a brand of honesty, transparency and accountability and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for you as a team member. The brand continues to deliver the “Power of Possible”", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.f5448c0b6807d39b0f", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5503cbd65e61125459d526a48b1af45b", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Assistant General Manager - FT Hours - 3659 Nasa Pkwy Seabrook, TX, United States Company Description: Job Description: Job Description Assistant Managers are responsible for cost controls, inventory control, cash control, and customer relations while they are working a shift. What we offer: • A safe, rewarding, and fast paced working environment • Competitive hourly rate and benefits package • Training with an industry leading brand • Excellent career opportunities • Awesome discounts on menu items! What we're looking for in our Assistant Managers: • Prior leadership experience preferred • Assist with basic operations procedures • Experience in employee development • Ability to demonstrate team member and food safety protocols • Excellent customer service skills • Ability to operate and troubleshoot technology Qualifications Minimum Job Requirements (see the Job Description for full details): • Must be at least 18 years of age Additional information Domino's Team USA stores value honesty, transparency, and accountability, and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for our team members. Qualifications: Additional Information: At Domino's, we are a brand of honesty, transparency and accountability and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for you as a team member. The brand continues to deliver the “Power of Possible”", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1286681/000119312526062321/dpz-20251228.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1286681/000119312526062321/dpz-20251228.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Dominos/744000131745100-assistant-general-manager-ft-hours-3659-nasa-pkwy", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Dominos/744000131745100-assistant-general-manager-ft-hours-3659-nasa-pkwy", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Dominos/744000131745100-assistant-general-manager-ft-hours-3659-nasa-pkwy", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "92a7e9ab54e2982e041f94d111c8729c", "title": "AI Research Engineer - Computer Vision", "employer_name": "Helsing", "employer_slug": "helsing", "location_text": "Berlin; London; Munich", "country": "unknown", "employment_type": "temporary", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": 2500, "salary_min_source": null, "salary_max_source": null, "salary_currency": "EUR", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "month", "base_salary_min": null, "base_salary_max": 2500, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn", "generalcatalyst" ], "posted_at": "2024-05-08T13:22:11.000Z", "apply_url": "https://helsing.ai/jobs/4334842101?gh_jid=4334842101", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Research Engineer - Computer Vision Berlin; London; Munich Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams - and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and robustness against adversarial attacks. You will be part of a computer vision team, where you will be responsible for building computer vision models for object recognition and tracking, video understanding, scene matching, etc. The day-to-day You will develop computer vision models and pipelines that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and", "parental_leave_weeks": 22, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "parental_leave_weeks" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.f95ab0d2a8389ca8fe", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "92a7e9ab54e2982e041f94d111c8729c", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "AI Research Engineer - Computer Vision", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.4df01d2c8a749ca85c", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "92a7e9ab54e2982e041f94d111c8729c", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:92a7e9ab54e2982e041f94d111c8729c:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://helsing.ai/jobs/4334842101?gh_jid=4334842101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://helsing.ai/jobs/4334842101?gh_jid=4334842101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://helsing.ai/jobs/4334842101?gh_jid=4334842101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://helsing.ai/jobs/4334842101?gh_jid=4334842101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://helsing.ai/jobs/4334842101?gh_jid=4334842101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://helsing.ai/jobs/4334842101?gh_jid=4334842101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "56e960ff7ec982c071b23eb7bcd0ea5d", "title": "Product Director", "employer_name": "Tripledot", "employer_slug": "tripledot", "location_text": "Limassol", "country": "unknown", "employment_type": "contract", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-05-20T13:44:37.000Z", "apply_url": "https://job-boards.eu.greenhouse.io/tripledotstudios/jobs/4871629101", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Product Director Limassol Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot's guiding principle is that when people love what they do, what they do will be loved by others. We're building a company we're proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we're just getting started. The role is working within our studio: Belka Games Belka Games is a game development company. According to Sensor Tower, the company is among the top 30 highest-grossing game developers in Europe, and its audience has recently surpassed 110 million players. Role Overview We are looking for a Product Director to grow and strengthen our Casual direction, starting with ownership of a live product and evolving toward building and launching new product initiatives. The role combines responsibility for live product performance, long-term stability, and preparation for future Casual growth opportunities. Key Responsibilities Phase 1 - Live product ownership (Clockmaker) - Own product performance of Clockmaker, ensuring stability and sustainable improvement of key metrics - Drive improvements in retention, monetization, engagement, and long-term product health - Manage and evolve the LiveOps roadmap", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "director_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "product", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.baaa67990bd1ac3d8c", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "56e960ff7ec982c071b23eb7bcd0ea5d", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Product Director Limassol Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot's guiding principle is that when people love what they do, what they do will be loved by others. We're building a company we're proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we're just getting started. The role is working within our studio: Belka Games Belka Games is a game development company. According to Sensor Tower, the company is among the top 30 highest-grossing game developers in Europe, and its audience has recently surpassed 110 million players. Role Overview We are looking for a Product Director to grow and strengthen our Casual direction, starting with ownership of a live product and evolving toward building and launching new product initiatives. The role combines responsibility for live product performance, long-term stability, and preparation for future Casual growth opportunities. Key Responsibilities Phase 1 - Live product ownership (Clockmaker) - Own product performance of Clockmaker, ensuring stability and sustainable improvement of key metrics - Drive improvements in retention, monetization, engagement, and long-term product health - Manage and evolve the LiveOps roadmap", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:56e960ff7ec982c071b23eb7bcd0ea5d:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.fdf3a56a9c029c0cdd", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "56e960ff7ec982c071b23eb7bcd0ea5d", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Product Director Limassol Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot's guiding principle is that when people love what they do, what they do will be loved by others. We're building a company we're proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we're just getting started. The role is working within our studio: Belka Games Belka Games is a game development company. According to Sensor Tower, the company is among the top 30 highest-grossing game developers in Europe, and its audience has recently surpassed 110 million players. Role Overview We are looking for a Product Director to grow and strengthen our Casual direction, starting with ownership of a live product and evolving toward building and launching new product initiatives. The role combines responsibility for live product performance, long-term stability, and preparation for future Casual growth opportunities. Key Responsibilities Phase 1 - Live product ownership (Clockmaker) - Own product performance of Clockmaker, ensuring stability and sustainable improvement of key metrics - Drive improvements in retention, monetization, engagement, and long-term product health - Manage and evolve the LiveOps roadmap", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:56e960ff7ec982c071b23eb7bcd0ea5d:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.ea678394127875bce4", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "56e960ff7ec982c071b23eb7bcd0ea5d", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Product Director Limassol Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot's guiding principle is that when people love what they do, what they do will be loved by others. We're building a company we're proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we're just getting started. The role is working within our studio: Belka Games Belka Games is a game development company. According to Sensor Tower, the company is among the top 30 highest-grossing game developers in Europe, and its audience has recently surpassed 110 million players. Role Overview We are looking for a Product Director to grow and strengthen our Casual direction, starting with ownership of a live product and evolving toward building and launching new product initiatives. The role combines responsibility for live product performance, long-term stability, and preparation for future Casual growth opportunities. Key Responsibilities Phase 1 - Live product ownership (Clockmaker) - Own product performance of Clockmaker, ensuring stability and sustainable improvement of key metrics - Drive improvements in retention, monetization, engagement, and long-term product health - Manage and evolve the LiveOps roadmap", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.fb00cd1716a2dafa47", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "56e960ff7ec982c071b23eb7bcd0ea5d", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Product Director Limassol Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot's guiding principle is that when people love what they do, what they do will be loved by others. We're building a company we're proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we're just getting started. The role is working within our studio: Belka Games Belka Games is a game development company. According to Sensor Tower, the company is among the top 30 highest-grossing game developers in Europe, and its audience has recently surpassed 110 million players. Role Overview We are looking for a Product Director to grow and strengthen our Casual direction, starting with ownership of a live product and evolving toward building and launching new product initiatives. The role combines responsibility for live product performance, long-term stability, and preparation for future Casual growth opportunities. Key Responsibilities Phase 1 - Live product ownership (Clockmaker) - Own product performance of Clockmaker, ensuring stability and sustainable improvement of key metrics - Drive improvements in retention, monetization, engagement, and long-term product health - Manage and evolve the LiveOps roadmap", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.eu.greenhouse.io/tripledotstudios/jobs/4871629101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.eu.greenhouse.io/tripledotstudios/jobs/4871629101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "5592a33e012adf3e909fda687f8315db", "title": "Senior Software Engineer, Backend (AI Agent Integrations)", "employer_name": "Cresta", "employer_slug": "cresta", "location_text": "Canada (Remote)", "country": "CA", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn", "a16z", "sequoia" ], "posted_at": "2025-09-11T18:09:16.000Z", "apply_url": "https://job-boards.greenhouse.io/cresta/jobs/4918465008", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Software Engineer, Backend (AI Agent Integrations) Canada (Remote) Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta's unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world's leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world's leading investors, including a16z, Greylock, and Sequoia. Cresta's leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the role: Cresta's AI Agent team is building enterprise-grade AI Agents that can operate inside real-world contact center environments. A critical part of that mission is enabling our AI Agents to seamlessly integrate with customers' CCaaS platforms (Contact Center as a Service), including voice and digital channels - and to smoothly transition conversations between AI and human agents when needed. This role is focused on building the backend systems that allow our AI Agents to: - Integrate deeply with leading CCaaS platforms - Participate in live customer conversations across voice and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 51, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.d6c360747dd6932178", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5592a33e012adf3e909fda687f8315db", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Senior Software Engineer, Backend (AI Agent Integrations)", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.1ea6f46c294897ebd9", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5592a33e012adf3e909fda687f8315db", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:5592a33e012adf3e909fda687f8315db:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/cresta/jobs/4918465008", "source_values": [ "rule:remote_status" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/cresta/jobs/4918465008", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/cresta/jobs/4918465008", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/cresta/jobs/4918465008", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/cresta/jobs/4918465008", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "5897c1ab10b50cb5ae1e0ece812f7e16", "title": "Software Development Engineer Test - Customer Systems", "employer_name": "Apple", "employer_slug": "apple", "location_text": "Sunnyvale, United States of America", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 147400, "salary_max": 272100, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 147400, "base_salary_max": 272100, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-17T19:56:34.530Z", "apply_url": "https://jobs.apple.com/en-us/details/200663027/software-development-engineer-test-customer-systems?team=SFTWR", "apply_url_verified": false, "ats": "apple_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Development Engineer Test - Customer Systems Sunnyvale, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. Apple's Customer Experience Engineering team is looking for a passionate Software Quality Engineer to contribute to design, analysis and certification of our support apps. We are looking for someone who is equally passionate about quality and using light weight processes to consistently achieve it. The role would also involve interacting with cross-functional engineering and product teams to test features, perform root cause analysis, and drive the quality of our customer's experience. In this dynamic and fast-paced role, you will be directly responsible for ensuring the quality of Apple's customer support experience, focusing on consistent functionality, performance, and stability. This involves understanding new and existing feature implementations to craft informed and robust testing charters, authoring test scenarios, scripts, and plans, and then executing functional, performance, and stability testing.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.59771d9aa11a813f8d", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5897c1ab10b50cb5ae1e0ece812f7e16", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Development Engineer Test - Customer Systems Sunnyvale, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. Apple's Customer Experience Engineering team is looking for a passionate Software Quality Engineer to contribute to design, analysis and certification of our support apps. We are looking for someone who is equally passionate about quality and using light weight processes to consistently achieve it. The role would also involve interacting with cross-functional engineering and product teams to test features, perform root cause analysis, and drive the quality of our customer's experience. In this dynamic and fast-paced role, you will be directly responsible for ensuring the quality of Apple's customer support experience, focusing on consistent functionality, performance, and stability. This involves understanding new and existing feature implementations to craft informed and robust testing charters, authoring test scenarios, scripts, and plans, and then executing functional, performance, and stability testing.", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:5897c1ab10b50cb5ae1e0ece812f7e16:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.644ae65e08a581f22d", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5897c1ab10b50cb5ae1e0ece812f7e16", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Software Development Engineer Test - Customer Systems Sunnyvale, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. Apple's Customer Experience Engineering team is looking for a passionate Software Quality Engineer to contribute to design, analysis and certification of our support apps. We are looking for someone who is equally passionate about quality and using light weight processes to consistently achieve it. The role would also involve interacting with cross-functional engineering and product teams to test features, perform root cause analysis, and drive the quality of our customer's experience. In this dynamic and fast-paced role, you will be directly responsible for ensuring the quality of Apple's customer support experience, focusing on consistent functionality, performance, and stability. This involves understanding new and existing feature implementations to craft informed and robust testing charters, authoring test scenarios, scripts, and plans, and then executing functional, performance, and stability testing.", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200663027/software-development-engineer-test-customer-systems?team=SFTWR", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200663027/software-development-engineer-test-customer-systems?team=SFTWR", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200663027/software-development-engineer-test-customer-systems?team=SFTWR", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200663027/software-development-engineer-test-customer-systems?team=SFTWR", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200663027/software-development-engineer-test-customer-systems?team=SFTWR", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200663027/software-development-engineer-test-customer-systems?team=SFTWR", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "c7978d70646a8d9bedf1ed14fed39f5f", "title": "AI & Data Engineering", "employer_name": "Hewlett-Packard", "employer_slug": "hewlett-packard", "location_text": "Sant Cugat del Valles, Barcelona, Spain", "country": "ES", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://hp.eightfold.ai/careers/job/41887796", "apply_url_verified": false, "ats": "eightfold", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI & Data Engineering Sant Cugat del Valles, Barcelona, Spain", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/47217/000004721725000071/hpq-20251031.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/47217/000004721725000071/hpq-20251031.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.4a2d42fe1f81be3dba", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "c7978d70646a8d9bedf1ed14fed39f5f", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "AI & Data Engineering", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.2071312f8c4f7c62b2", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "c7978d70646a8d9bedf1ed14fed39f5f", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:c7978d70646a8d9bedf1ed14fed39f5f:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/47217/000004721725000071/hpq-20251031.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/47217/000004721725000071/hpq-20251031.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://hp.eightfold.ai/careers/job/41887796", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://hp.eightfold.ai/careers/job/41887796", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "bd197b5926e2f7abc8468c447b6e89e9", "title": "Research Engineer, Performance RL (Reinforcement Learning)", "employer_name": "Anthropic", "employer_slug": "anthropic", "location_text": "San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 350000, "salary_max": 850000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "ote", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 350000, "base_salary_max": 850000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cnbc_disruptor50", "cbinsights_unicorn", "sequoia" ], "posted_at": "2026-03-23T16:27:59.000Z", "apply_url": "https://job-boards.greenhouse.io/anthropic/jobs/5160330008", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Engineer, Performance RL (Reinforcement Learning) San Francisco, CA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the RL Teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.6 and Opus 4.6. Our work spans several key areas: - Developing systems that enable models to use computers effectively - Advancing code generation through reinforcement learning - Pioneering fundamental RL research for large language models - Building scalable RL infrastructure and training methodologies - Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models'", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 47, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "travel_pct": 25, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.4419faf71f6c32806d", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "bd197b5926e2f7abc8468c447b6e89e9", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Research Engineer, Performance RL (Reinforcement Learning) San Francisco, CA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the RL Teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.6 and Opus 4.6. Our work spans several key areas: - Developing systems that enable models to use computers effectively - Advancing code generation through reinforcement learning - Pioneering fundamental RL research for large language models - Building scalable RL infrastructure and training methodologies - Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models'", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.d1a0ec828ca22d1ea6", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "bd197b5926e2f7abc8468c447b6e89e9", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:bd197b5926e2f7abc8468c447b6e89e9:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/anthropic/jobs/5160330008", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/anthropic/jobs/5160330008", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/anthropic/jobs/5160330008", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/anthropic/jobs/5160330008", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/anthropic/jobs/5160330008", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/anthropic/jobs/5160330008", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "5ab0cc56513556f687bbef9392479b94", "title": "Platform Intelligence Engineer", "employer_name": "Palantir Technologies", "employer_slug": "palantir-technologies", "location_text": "New York, NY", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 110000, "salary_max": 150000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "total_comp", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 110000, "base_salary_max": 150000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": true, "adoption_assistance_offered": null, "surrogacy_assistance_offered": true, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2025-12-15T21:11:27.652Z", "apply_url": "https://jobs.lever.co/palantir/a753a9e7-a361-426b-9c25-3cf2488c1730", "apply_url_verified": false, "ats": "lever", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Platform Intelligence Engineer New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Platform Intelligence Engineers are the engine behind Palantir's most strategic and important operations. Engineers are responsible for designing, creating, and maintaining the critical data infrastructure layer that powers decision-making across the business. This infrastructure enables teams to understand product usage, stability trends, cost efficiency, value creation, revenue streams, and more. As an Intelligence Engineer, you will partner with teammates and leaders across the business to address, measure, and evaluate Palantir's internal strategic and tactical performance. You will keep business outcomes in mind as you develop data pipelines, perform analysis, and work with stakeholders to operationalize insights that propel the business forward. Depending on which team you join, you might analyze cloud utilization, user metrics, stability KPIs, cost optimizations, or even model pricing changes all while ensuring best in class support for our partner teams. You will use Palantir's platforms, just as Palantir's customers do, to clean and enrich troves of data from disparate sources, allowing you to unlock key insights, create visualizations and custom applications that help drive day-to-day outcomes. Teams across Palantir will consult with and rely on you to help guide planning and decision-making for a wide range of topics while balancing various sets of priorities and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "bonus_offered": { "field": "bonus_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "bonus_offered" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "surrogacy_assistance_offered": { "field": "surrogacy_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "surrogacy_assistance_offered" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.40d1573c8cf0d1d944", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5ab0cc56513556f687bbef9392479b94", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Platform Intelligence Engineer New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Platform Intelligence Engineers are the engine behind Palantir's most strategic and important operations. Engineers are responsible for designing, creating, and maintaining the critical data infrastructure layer that powers decision-making across the business. This infrastructure enables teams to understand product usage, stability trends, cost efficiency, value creation, revenue streams, and more. As an Intelligence Engineer, you will partner with teammates and leaders across the business to address, measure, and evaluate Palantir's internal strategic and tactical performance. You will keep business outcomes in mind as you develop data pipelines, perform analysis, and work with stakeholders to operationalize insights that propel the business forward. Depending on which team you join, you might analyze cloud utilization, user metrics, stability KPIs, cost optimizations, or even model pricing changes all while ensuring best in class support for our partner teams. You will use Palantir's platforms, just as Palantir's customers do, to clean and enrich troves of data from disparate sources, allowing you to unlock key insights, create visualizations and custom applications that help drive day-to-day outcomes. Teams across Palantir will consult with and rely on you to help guide planning and decision-making for a wide range of topics while balancing various sets of priorities and", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:5ab0cc56513556f687bbef9392479b94:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.e8d1127ad197b09faf", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5ab0cc56513556f687bbef9392479b94", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Platform Intelligence Engineer New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Platform Intelligence Engineers are the engine behind Palantir's most strategic and important operations. Engineers are responsible for designing, creating, and maintaining the critical data infrastructure layer that powers decision-making across the business. This infrastructure enables teams to understand product usage, stability trends, cost efficiency, value creation, revenue streams, and more. As an Intelligence Engineer, you will partner with teammates and leaders across the business to address, measure, and evaluate Palantir's internal strategic and tactical performance. You will keep business outcomes in mind as you develop data pipelines, perform analysis, and work with stakeholders to operationalize insights that propel the business forward. Depending on which team you join, you might analyze cloud utilization, user metrics, stability KPIs, cost optimizations, or even model pricing changes all while ensuring best in class support for our partner teams. You will use Palantir's platforms, just as Palantir's customers do, to clean and enrich troves of data from disparate sources, allowing you to unlock key insights, create visualizations and custom applications that help drive day-to-day outcomes. Teams across Palantir will consult with and rely on you to help guide planning and decision-making for a wide range of topics while balancing various sets of priorities and", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:5ab0cc56513556f687bbef9392479b94:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.c27bad6f2f7c2dfc96", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5ab0cc56513556f687bbef9392479b94", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Platform Intelligence Engineer New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Platform Intelligence Engineers are the engine behind Palantir's most strategic and important operations. Engineers are responsible for designing, creating, and maintaining the critical data infrastructure layer that powers decision-making across the business. This infrastructure enables teams to understand product usage, stability trends, cost efficiency, value creation, revenue streams, and more. As an Intelligence Engineer, you will partner with teammates and leaders across the business to address, measure, and evaluate Palantir's internal strategic and tactical performance. You will keep business outcomes in mind as you develop data pipelines, perform analysis, and work with stakeholders to operationalize insights that propel the business forward. Depending on which team you join, you might analyze cloud utilization, user metrics, stability KPIs, cost optimizations, or even model pricing changes all while ensuring best in class support for our partner teams. You will use Palantir's platforms, just as Palantir's customers do, to clean and enrich troves of data from disparate sources, allowing you to unlock key insights, create visualizations and custom applications that help drive day-to-day outcomes. Teams across Palantir will consult with and rely on you to help guide planning and decision-making for a wide range of topics while balancing various sets of priorities and", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.e9b192fa9ffa370ed7", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5ab0cc56513556f687bbef9392479b94", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Platform Intelligence Engineer New York, NY A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Platform Intelligence Engineers are the engine behind Palantir's most strategic and important operations. Engineers are responsible for designing, creating, and maintaining the critical data infrastructure layer that powers decision-making across the business. This infrastructure enables teams to understand product usage, stability trends, cost efficiency, value creation, revenue streams, and more. As an Intelligence Engineer, you will partner with teammates and leaders across the business to address, measure, and evaluate Palantir's internal strategic and tactical performance. You will keep business outcomes in mind as you develop data pipelines, perform analysis, and work with stakeholders to operationalize insights that propel the business forward. Depending on which team you join, you might analyze cloud utilization, user metrics, stability KPIs, cost optimizations, or even model pricing changes all while ensuring best in class support for our partner teams. You will use Palantir's platforms, just as Palantir's customers do, to clean and enrich troves of data from disparate sources, allowing you to unlock key insights, create visualizations and custom applications that help drive day-to-day outcomes. Teams across Palantir will consult with and rely on you to help guide planning and decision-making for a wide range of topics while balancing various sets of priorities and", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/a753a9e7-a361-426b-9c25-3cf2488c1730", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/a753a9e7-a361-426b-9c25-3cf2488c1730", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/a753a9e7-a361-426b-9c25-3cf2488c1730", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/a753a9e7-a361-426b-9c25-3cf2488c1730", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/a753a9e7-a361-426b-9c25-3cf2488c1730", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/a753a9e7-a361-426b-9c25-3cf2488c1730", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "surrogacy_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/palantir/a753a9e7-a361-426b-9c25-3cf2488c1730", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "5f7133e03a96c673be0956d0ad340baf", "title": "Senior Software Engineer (Fullstack)", "employer_name": "Super", "employer_slug": "super", "location_text": "Croatia", "country": "HR", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://job-boards.eu.greenhouse.io/super/jobs/4860823101", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Software Engineer (Fullstack) Croatia We are on a mission to pioneer the world's next era of play. As we grow across Europe and Latin America, we're building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Senior Software Engineer, you will contribute directly to the design and development of a platform that handles 22 million bets per month, playing a key role in its stability, scalability, and expansion into new markets. What the role involves Contribute directly to the design and development of our platform Optimise the platform to support product features more efficiently Ensure platform stability and reliability across all environments Support platform expansion into new markets, maintaining a stable hosting environment Enable traders to define mappings to our external offerings Drive improvements to platform health across scalability, speed, quality, and flexibility Maintain low latency and high success rates to directly improve user experience Conduct design and code reviews, and provide mentorship to other team members What we are looking for Bachelor's degree in Computer Science or a related field 5+ years of experience building high-quality software Strong engineering practices including code reviews, CI/CD, and design documentation Ability to write clean, maintainable, and well-tested code with a focus on performance and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Retail", "employer_industry_source": "source_sector", "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.6e6df011926516c2a8", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5f7133e03a96c673be0956d0ad340baf", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Software Engineer (Fullstack) Croatia We are on a mission to pioneer the world's next era of play. As we grow across Europe and Latin America, we're building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Senior Software Engineer, you will contribute directly to the design and development of a platform that handles 22 million bets per month, playing a key role in its stability, scalability, and expansion into new markets. What the role involves Contribute directly to the design and development of our platform Optimise the platform to support product features more efficiently Ensure platform stability and reliability across all environments Support platform expansion into new markets, maintaining a stable hosting environment Enable traders to define mappings to our external offerings Drive improvements to platform health across scalability, speed, quality, and flexibility Maintain low latency and high success rates to directly improve user experience Conduct design and code reviews, and provide mentorship to other team members What we are looking for Bachelor's degree in Computer Science or a related field 5+ years of experience building high-quality software Strong engineering practices including code reviews, CI/CD, and design documentation Ability to write clean, maintainable, and well-tested code with a focus on performance and", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:5f7133e03a96c673be0956d0ad340baf:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.8aa71183f543e5464c", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5f7133e03a96c673be0956d0ad340baf", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Software Engineer (Fullstack) Croatia We are on a mission to pioneer the world's next era of play. As we grow across Europe and Latin America, we're building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Senior Software Engineer, you will contribute directly to the design and development of a platform that handles 22 million bets per month, playing a key role in its stability, scalability, and expansion into new markets. What the role involves Contribute directly to the design and development of our platform Optimise the platform to support product features more efficiently Ensure platform stability and reliability across all environments Support platform expansion into new markets, maintaining a stable hosting environment Enable traders to define mappings to our external offerings Drive improvements to platform health across scalability, speed, quality, and flexibility Maintain low latency and high success rates to directly improve user experience Conduct design and code reviews, and provide mentorship to other team members What we are looking for Bachelor's degree in Computer Science or a related field 5+ years of experience building high-quality software Strong engineering practices including code reviews, CI/CD, and design documentation Ability to write clean, maintainable, and well-tested code with a focus on performance and", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:5f7133e03a96c673be0956d0ad340baf:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.72d3270618cb73a047", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5f7133e03a96c673be0956d0ad340baf", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Software Engineer (Fullstack) Croatia We are on a mission to pioneer the world's next era of play. As we grow across Europe and Latin America, we're building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Senior Software Engineer, you will contribute directly to the design and development of a platform that handles 22 million bets per month, playing a key role in its stability, scalability, and expansion into new markets. What the role involves Contribute directly to the design and development of our platform Optimise the platform to support product features more efficiently Ensure platform stability and reliability across all environments Support platform expansion into new markets, maintaining a stable hosting environment Enable traders to define mappings to our external offerings Drive improvements to platform health across scalability, speed, quality, and flexibility Maintain low latency and high success rates to directly improve user experience Conduct design and code reviews, and provide mentorship to other team members What we are looking for Bachelor's degree in Computer Science or a related field 5+ years of experience building high-quality software Strong engineering practices including code reviews, CI/CD, and design documentation Ability to write clean, maintainable, and well-tested code with a focus on performance and", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.ad1ce666ebae4554a8", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5f7133e03a96c673be0956d0ad340baf", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Software Engineer (Fullstack) Croatia We are on a mission to pioneer the world's next era of play. As we grow across Europe and Latin America, we're building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Senior Software Engineer, you will contribute directly to the design and development of a platform that handles 22 million bets per month, playing a key role in its stability, scalability, and expansion into new markets. What the role involves Contribute directly to the design and development of our platform Optimise the platform to support product features more efficiently Ensure platform stability and reliability across all environments Support platform expansion into new markets, maintaining a stable hosting environment Enable traders to define mappings to our external offerings Drive improvements to platform health across scalability, speed, quality, and flexibility Maintain low latency and high success rates to directly improve user experience Conduct design and code reviews, and provide mentorship to other team members What we are looking for Bachelor's degree in Computer Science or a related field 5+ years of experience building high-quality software Strong engineering practices including code reviews, CI/CD, and design documentation Ability to write clean, maintainable, and well-tested code with a focus on performance and", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.eu.greenhouse.io/super/jobs/4860823101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.eu.greenhouse.io/super/jobs/4860823101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "8c63eca941ee456174e166126f2fcbff", "title": "Staff Software Engineer, Inference", "employer_name": "Anthropic", "employer_slug": "anthropic", "location_text": "Dublin, IE", "country": "IE", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "EUR", "salary_type": "ote", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cnbc_disruptor50", "cbinsights_unicorn", "sequoia" ], "posted_at": "2026-03-11T15:14:30.000Z", "apply_url": "https://job-boards.greenhouse.io/anthropic/jobs/5150472008", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Software Engineer, Inference Dublin, IE About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. As a Staff Software Engineer on our Inference team , you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary. Strong candidates may also have experience with: - High-performance, large-scale distributed systems - Implementing", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": 25, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.80f61572affaa68dd4", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "8c63eca941ee456174e166126f2fcbff", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Staff Software Engineer, Inference Dublin, IE About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. As a Staff Software Engineer on our Inference team , you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary. Strong candidates may also have experience with: - High-performance, large-scale distributed systems - Implementing", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.4c0c290404610159da", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "8c63eca941ee456174e166126f2fcbff", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:8c63eca941ee456174e166126f2fcbff:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/anthropic/jobs/5150472008", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/anthropic/jobs/5150472008", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/anthropic/jobs/5150472008", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/anthropic/jobs/5150472008", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "780f1a65e7a7ada815ac1ec45f6df0db", "title": "Applied AI Researcher, System Self-Improvement", "employer_name": "Distyl AI", "employer_slug": "distyl-ai", "location_text": "San Francisco, California, USA, New York", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 150000, "salary_max": 250000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 150000, "base_salary_max": 250000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2025-10-16T16:26:08.555Z", "apply_url": "https://jobs.ashbyhq.com/distyl/f94707a5-3563-49f4-8414-ec3bb8918d03", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Applied AI Researcher, System Self-Improvement San Francisco, California, USA, New York About Distyl AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business. What We Are Looking For At Distyl we're pushing the envelope of AI utilization in enterprise. This requires creative researchers who don't just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used. Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 47, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.eb139605240f4ffd23", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "780f1a65e7a7ada815ac1ec45f6df0db", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Applied AI Researcher, System Self-Improvement", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.aa56a6612569aa0b20", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "780f1a65e7a7ada815ac1ec45f6df0db", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:780f1a65e7a7ada815ac1ec45f6df0db:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/distyl/f94707a5-3563-49f4-8414-ec3bb8918d03", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/distyl/f94707a5-3563-49f4-8414-ec3bb8918d03", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/distyl/f94707a5-3563-49f4-8414-ec3bb8918d03", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/distyl/f94707a5-3563-49f4-8414-ec3bb8918d03", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/distyl/f94707a5-3563-49f4-8414-ec3bb8918d03", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/distyl/f94707a5-3563-49f4-8414-ec3bb8918d03", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "622a5b0abb4bac44e4d12d2097950a89", "title": "Operator Retort- 3rd Shift", "employer_name": "Nestle", "employer_slug": "nestle", "location_text": "Country United States | State/Province California | Company Nestlé USA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobdetails.nestle.com/job/Modesto-Operator-Retort-3rd-Shift-CA-95357/1279729801/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Operator Retort- 3rd Shift Country United States | State/Province California | Company Nestlé USA The Retort Operator responsibilities include operating FMC rotary sterilizers, continuously monitoring critical control points, especially time an temperatures. Assuring that the finished products meets all thermal process requirements. Monitor equipment to assure that is operating within the expected parameters. Check sterilized samples for flavor, grain and texture throughout the process to be certain that all finished product is commercially acceptable. Employees shall follow all the plant safety and quality rules, report incidents & unsafe conditions immediately and maintain compliance with regulations. PRIMARY RESPONSIBILITIES: To operate machinery, monitor critical control points and record required information at prescribed intervals Start up machinery and run pilot samples to check for product heat stability prior to sterilizing. To shutdown machinery, fill out all logs recorder charts and other records Lubricate all equipment, clean the work area including all equipments, floors and wall, boil out sterilizers To maintain test for proper chlorine concentrations in process cooling water Complete sensory on all finished goods and rework Check initial temperature of every mix Perform boilout/ logout procedures and thermometer check procedures To determine quantity of stabilizer to be added if necessary Perform SAP transactions as necessary *Must have a basic understanding of computers in order to operate equipment and to perform SAP transactions General Expectations : Em", "parental_leave_weeks": 4, "non_birth_parent_leave_weeks": 4, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.nestleusa.com/parents/parental-leave-faqs", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 48, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "shift_type": { "field": "shift_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "shift_type" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.nestleusa.com/parents/parental-leave-faqs", "db_column": "parental_leave_weeks", "source_url": "https://www.nestleusa.com/parents/parental-leave-faqs" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Retail", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.9a0454733978f2c7fa", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "622a5b0abb4bac44e4d12d2097950a89", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Operator Retort- 3rd Shift Country United States | State/Province California | Company Nestlé USA The Retort Operator responsibilities include operating FMC rotary sterilizers, continuously monitoring critical control points, especially time an temperatures. Assuring that the finished products meets all thermal process requirements. Monitor equipment to assure that is operating within the expected parameters. Check sterilized samples for flavor, grain and texture throughout the process to be certain that all finished product is commercially acceptable. Employees shall follow all the plant safety and quality rules, report incidents & unsafe conditions immediately and maintain compliance with regulations. PRIMARY RESPONSIBILITIES: To operate machinery, monitor critical control points and record required information at prescribed intervals Start up machinery and run pilot samples to check for product heat stability prior to sterilizing. To shutdown machinery, fill out all logs recorder charts and other records Lubricate all equipment, clean the work area including all equipments, floors and wall, boil out sterilizers To maintain test for proper chlorine concentrations in process cooling water Complete sensory on all finished goods and rework Check initial temperature of every mix Perform boilout/ logout procedures and thermometer check procedures To determine quantity of stabilizer to be added if necessary Perform SAP transactions as necessary *Must have a basic understanding of computers in order to operate equipment and to perform SAP transactions General Expectations : Em", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:622a5b0abb4bac44e4d12d2097950a89:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.e1d80f0f49edb56e63", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "622a5b0abb4bac44e4d12d2097950a89", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Operator Retort- 3rd Shift Country United States | State/Province California | Company Nestlé USA The Retort Operator responsibilities include operating FMC rotary sterilizers, continuously monitoring critical control points, especially time an temperatures. Assuring that the finished products meets all thermal process requirements. Monitor equipment to assure that is operating within the expected parameters. Check sterilized samples for flavor, grain and texture throughout the process to be certain that all finished product is commercially acceptable. Employees shall follow all the plant safety and quality rules, report incidents & unsafe conditions immediately and maintain compliance with regulations. PRIMARY RESPONSIBILITIES: To operate machinery, monitor critical control points and record required information at prescribed intervals Start up machinery and run pilot samples to check for product heat stability prior to sterilizing. To shutdown machinery, fill out all logs recorder charts and other records Lubricate all equipment, clean the work area including all equipments, floors and wall, boil out sterilizers To maintain test for proper chlorine concentrations in process cooling water Complete sensory on all finished goods and rework Check initial temperature of every mix Perform boilout/ logout procedures and thermometer check procedures To determine quantity of stabilizer to be added if necessary Perform SAP transactions as necessary *Must have a basic understanding of computers in order to operate equipment and to perform SAP transactions General Expectations : Em", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:622a5b0abb4bac44e4d12d2097950a89:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.84f61fb5fda5c23312", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "622a5b0abb4bac44e4d12d2097950a89", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Operator Retort- 3rd Shift Country United States | State/Province California | Company Nestlé USA The Retort Operator responsibilities include operating FMC rotary sterilizers, continuously monitoring critical control points, especially time an temperatures. Assuring that the finished products meets all thermal process requirements. Monitor equipment to assure that is operating within the expected parameters. Check sterilized samples for flavor, grain and texture throughout the process to be certain that all finished product is commercially acceptable. Employees shall follow all the plant safety and quality rules, report incidents & unsafe conditions immediately and maintain compliance with regulations. PRIMARY RESPONSIBILITIES: To operate machinery, monitor critical control points and record required information at prescribed intervals Start up machinery and run pilot samples to check for product heat stability prior to sterilizing. To shutdown machinery, fill out all logs recorder charts and other records Lubricate all equipment, clean the work area including all equipments, floors and wall, boil out sterilizers To maintain test for proper chlorine concentrations in process cooling water Complete sensory on all finished goods and rework Check initial temperature of every mix Perform boilout/ logout procedures and thermometer check procedures To determine quantity of stabilizer to be added if necessary Perform SAP transactions as necessary *Must have a basic understanding of computers in order to operate equipment and to perform SAP transactions General Expectations : Em", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.edfd30813b3db9bf30", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "622a5b0abb4bac44e4d12d2097950a89", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Operator Retort- 3rd Shift Country United States | State/Province California | Company Nestlé USA The Retort Operator responsibilities include operating FMC rotary sterilizers, continuously monitoring critical control points, especially time an temperatures. Assuring that the finished products meets all thermal process requirements. Monitor equipment to assure that is operating within the expected parameters. Check sterilized samples for flavor, grain and texture throughout the process to be certain that all finished product is commercially acceptable. Employees shall follow all the plant safety and quality rules, report incidents & unsafe conditions immediately and maintain compliance with regulations. PRIMARY RESPONSIBILITIES: To operate machinery, monitor critical control points and record required information at prescribed intervals Start up machinery and run pilot samples to check for product heat stability prior to sterilizing. To shutdown machinery, fill out all logs recorder charts and other records Lubricate all equipment, clean the work area including all equipments, floors and wall, boil out sterilizers To maintain test for proper chlorine concentrations in process cooling water Complete sensory on all finished goods and rework Check initial temperature of every mix Perform boilout/ logout procedures and thermometer check procedures To determine quantity of stabilizer to be added if necessary Perform SAP transactions as necessary *Must have a basic understanding of computers in order to operate equipment and to perform SAP transactions General Expectations : Em", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobdetails.nestle.com/job/Modesto-Operator-Retort-3rd-Shift-CA-95357/1279729801/", "source_values": [ "https://www.nestleusa.com/parents/parental-leave-faqs" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobdetails.nestle.com/job/Modesto-Operator-Retort-3rd-Shift-CA-95357/1279729801/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobdetails.nestle.com/job/Modesto-Operator-Retort-3rd-Shift-CA-95357/1279729801/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobdetails.nestle.com/job/Modesto-Operator-Retort-3rd-Shift-CA-95357/1279729801/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "68332f180d3a3a95899c68dd0bce73b7", "title": "Lead, CS AI Content", "employer_name": "Flex", "employer_slug": "flex", "location_text": "New York, NY; Salt Lake City, UT; San Francisco, CA", "country": "US", "employment_type": "full_time", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 92000, "salary_max": 115000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 92000, "base_salary_max": 115000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://job-boards.greenhouse.io/flex/jobs/4700218005", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Lead, CS AI Content New York, NY; Salt Lake City, UT; San Francisco, CA Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It's hard to believe that it's 2026 and paying rent on time is expensive, inflexible, and difficult. We're here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team? About the role We're hiring a Lead, CS AI Content to own the content layer that powers Flex's AI-driven customer support tools. This role sits at the intersection of content, conversational AI, and support operations . You'll build and maintain structured, machine-readable content that enables AI systems to respond accurately, take action through APIs, and safely support customers across channels. You'll play a key role in conversational AI by authoring dialogue flows, maintaining decision trees, and ensuring safe, accurate customer experiences. The content you produce directly impacts containment, CSAT, and risk prevention. What you'll do Write and maintain AI-native content across chatbot, voicebot, and agent assist tools, including structured responses, decision trees, and escalation logic. Author conversational AI dialogue flows, including", "parental_leave_weeks": 0, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 47, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/866374/000086637426000012/flex-20260331.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "unlimited_pto": { "field": "unlimited_pto", "source": "llm:greenfield:inv_371_postfix", "db_column": "unlimited_pto" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/866374/000086637426000012/flex-20260331.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "parental_leave_weeks" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "customer_success", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "growth-stage", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Energy", "employer_industry_source": "source_sector", "employer_size": "51-200", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.ab3e4ea8935a2dc524", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "68332f180d3a3a95899c68dd0bce73b7", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Lead, CS AI Content", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.ab40c5a452dbbda59d", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "68332f180d3a3a95899c68dd0bce73b7", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "customer_success", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:68332f180d3a3a95899c68dd0bce73b7:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/flex/jobs/4700218005", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/flex/jobs/4700218005", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/flex/jobs/4700218005", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/866374/000086637426000012/flex-20260331.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/866374/000086637426000012/flex-20260331.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/flex/jobs/4700218005", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "unlimited_pto": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/flex/jobs/4700218005", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/flex/jobs/4700218005", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/flex/jobs/4700218005", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/flex/jobs/4700218005", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "6478c57584379c217a21537e5f43ef0e", "title": "Space Hardware - Postdoctoral Researcher", "employer_name": "Lawrence Livermore National Laboratory", "employer_slug": "lawrence-livermore-national-laboratory", "location_text": "Livermore, CA, United States", "country": "US", "employment_type": "contract", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 122028, "salary_max": 143328, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 122028, "base_salary_max": 143328, "salary_disclosed": true, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.smartrecruiters.com/LLNL/3743990011666416-space-hardware-postdoctoral-researcher-", "apply_url_verified": false, "ats": "smartrecruiters", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Space Hardware - Postdoctoral Researcher Livermore, CA, United States Company Description: Join us and make YOUR mark on the World! Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory's mission. Job Description: We have an opening for a Postdoctoral Researcher in precision optomechanical engineering for space applications. You will contribute to cutting edge research focused on developing the next generation of large aperture space telescopes and optical payloads, with an emphasis on precision mechanisms, optomechanical design, and integration of optical systems into spacecraft. This position is in the Advanced Space Development group in the National Security Engineering Division, within the Engineering Directorate. This position requires full-time on site presence due to the nature of the work. You will: Conduct research in precision engineering, including the design and analysis of high stability mechanisms, mounts, and structures for space telescopes and optical payloads. Perform optomechanical design of telescope subsystems, including mirrors, lenses, mounts, alignment features, and supporting structures, with attention to thermos-mechanical stability, vibration, and launch survivability. Develop and run analytical and numerical models to predict system performance under mechanical, thermal, and dynamic loads. Apply precision engineering principles to", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.b7bf572d78785cc0ad", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "6478c57584379c217a21537e5f43ef0e", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Space Hardware - Postdoctoral Researcher Livermore, CA, United States Company Description: Join us and make YOUR mark on the World! Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory's mission. Job Description: We have an opening for a Postdoctoral Researcher in precision optomechanical engineering for space applications. You will contribute to cutting edge research focused on developing the next generation of large aperture space telescopes and optical payloads, with an emphasis on precision mechanisms, optomechanical design, and integration of optical systems into spacecraft. This position is in the Advanced Space Development group in the National Security Engineering Division, within the Engineering Directorate. This position requires full-time on site presence due to the nature of the work. You will: Conduct research in precision engineering, including the design and analysis of high stability mechanisms, mounts, and structures for space telescopes and optical payloads. Perform optomechanical design of telescope subsystems, including mirrors, lenses, mounts, alignment features, and supporting structures, with attention to thermos-mechanical stability, vibration, and launch survivability. Develop and run analytical and numerical models to predict system performance under mechanical, thermal, and dynamic loads. Apply precision engineering principles to", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:6478c57584379c217a21537e5f43ef0e:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.40cced4c5ab9b4c00f", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "6478c57584379c217a21537e5f43ef0e", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Space Hardware - Postdoctoral Researcher Livermore, CA, United States Company Description: Join us and make YOUR mark on the World! Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory's mission. Job Description: We have an opening for a Postdoctoral Researcher in precision optomechanical engineering for space applications. You will contribute to cutting edge research focused on developing the next generation of large aperture space telescopes and optical payloads, with an emphasis on precision mechanisms, optomechanical design, and integration of optical systems into spacecraft. This position is in the Advanced Space Development group in the National Security Engineering Division, within the Engineering Directorate. This position requires full-time on site presence due to the nature of the work. You will: Conduct research in precision engineering, including the design and analysis of high stability mechanisms, mounts, and structures for space telescopes and optical payloads. Perform optomechanical design of telescope subsystems, including mirrors, lenses, mounts, alignment features, and supporting structures, with attention to thermos-mechanical stability, vibration, and launch survivability. Develop and run analytical and numerical models to predict system performance under mechanical, thermal, and dynamic loads. Apply precision engineering principles to", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/LLNL/3743990011666416-space-hardware-postdoctoral-researcher-", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/LLNL/3743990011666416-space-hardware-postdoctoral-researcher-", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/LLNL/3743990011666416-space-hardware-postdoctoral-researcher-", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/LLNL/3743990011666416-space-hardware-postdoctoral-researcher-", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null } } }, { "id": "3e4a0b1aabe6e27b5f3f45ead23110b5", "title": "AI Software Engineer", "employer_name": "Adobe Inc.", "employer_slug": "adobe", "location_text": "Bucharest", "country": "RO", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/AI-Software-Engineer_R168326", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Software Engineer Bucharest posted: Posted 30+ Days Ago", "parental_leave_weeks": 16, "non_birth_parent_leave_weeks": 16, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 90, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule:title_override", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "parental_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "rule:title_override", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.0a7a088c8be686278e", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "3e4a0b1aabe6e27b5f3f45ead23110b5", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "AI Software Engineer", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.a8f732957296f2db1c", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "3e4a0b1aabe6e27b5f3f45ead23110b5", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:3e4a0b1aabe6e27b5f3f45ead23110b5:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/AI-Software-Engineer_R168326", "source_values": [ "https://benefits.adobe.com/us/time-off/leaves-of-absence" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/AI-Software-Engineer_R168326", "source_values": [ "https://benefits.adobe.com/us/time-off/leaves-of-absence" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/AI-Software-Engineer_R168326", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/AI-Software-Engineer_R168326", "source_values": [ "rule:title_override" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "69f02f095a9b42fd5b3c2deec8bfe2f7", "title": "Economist/Senior Economist", "employer_name": "Other Agencies and Independent Organizations", "employer_slug": "other-agencies-and-independent-organizations", "location_text": "Washington, District of Columbia", "country": "US", "employment_type": "part_time", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 111677, "salary_max": 215054, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 111677, "base_salary_max": 215054, "salary_disclosed": true, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-08T10:49:43.000Z", "apply_url": "https://www.usajobs.gov:443/job/872102700", "apply_url_verified": false, "ats": "usajobs", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Economist/Senior Economist Washington, District of Columbia Summary This position is for an Economist/Senior Economist in the Division of Housing Mission and Goals (DHMG) at the Federal Housing Finance Agency (FHFA). In this role, the incumbent will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. Duties Division of Housing Mission and Goals The Division of Housing Mission and Goals (DHMG) is responsible for FHFA policy development and analysis, oversight of the Enterprises' single-family and multifamily housing policy, oversight of the mission and goals of the Enterprises, and the housing finance and community investment mission of the Federal Home Loan Banks (FHLBs and capital policy for the Enterprises. In support of FHFA's mission and the Director's responsibilities as a member of the Federal Housing Finance Oversight Board, the Financial Stability Oversight Board, and the Financial Stability Oversight Council, the division also oversees and coordinates FHFA activities. Such activities involve data analyses, market surveillance, systemic risk monitoring, and analysis affecting housing finance and financial markets. Position Overview The Economist/Senior Economist will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. This role will demonstrate skills in research, analysis, assessment, programming, and data analytics with formal training in economics,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [ "DC" ], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "hire_states_allowed": { "field": "hire_states_allowed", "source": "rule:state_eligibility", "db_column": "hire_states_allowed" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Government", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.40d356e04ed84e49f4", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "69f02f095a9b42fd5b3c2deec8bfe2f7", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Economist/Senior Economist Washington, District of Columbia Summary This position is for an Economist/Senior Economist in the Division of Housing Mission and Goals (DHMG) at the Federal Housing Finance Agency (FHFA). In this role, the incumbent will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. Duties Division of Housing Mission and Goals The Division of Housing Mission and Goals (DHMG) is responsible for FHFA policy development and analysis, oversight of the Enterprises' single-family and multifamily housing policy, oversight of the mission and goals of the Enterprises, and the housing finance and community investment mission of the Federal Home Loan Banks (FHLBs and capital policy for the Enterprises. In support of FHFA's mission and the Director's responsibilities as a member of the Federal Housing Finance Oversight Board, the Financial Stability Oversight Board, and the Financial Stability Oversight Council, the division also oversees and coordinates FHFA activities. Such activities involve data analyses, market surveillance, systemic risk monitoring, and analysis affecting housing finance and financial markets. Position Overview The Economist/Senior Economist will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. This role will demonstrate skills in research, analysis, assessment, programming, and data analytics with formal training in economics,", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:69f02f095a9b42fd5b3c2deec8bfe2f7:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.98544407de90315c1c", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "69f02f095a9b42fd5b3c2deec8bfe2f7", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Economist/Senior Economist Washington, District of Columbia Summary This position is for an Economist/Senior Economist in the Division of Housing Mission and Goals (DHMG) at the Federal Housing Finance Agency (FHFA). In this role, the incumbent will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. Duties Division of Housing Mission and Goals The Division of Housing Mission and Goals (DHMG) is responsible for FHFA policy development and analysis, oversight of the Enterprises' single-family and multifamily housing policy, oversight of the mission and goals of the Enterprises, and the housing finance and community investment mission of the Federal Home Loan Banks (FHLBs and capital policy for the Enterprises. In support of FHFA's mission and the Director's responsibilities as a member of the Federal Housing Finance Oversight Board, the Financial Stability Oversight Board, and the Financial Stability Oversight Council, the division also oversees and coordinates FHFA activities. Such activities involve data analyses, market surveillance, systemic risk monitoring, and analysis affecting housing finance and financial markets. Position Overview The Economist/Senior Economist will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. This role will demonstrate skills in research, analysis, assessment, programming, and data analytics with formal training in economics,", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:69f02f095a9b42fd5b3c2deec8bfe2f7:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.18e820a98acbcafdc3", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "69f02f095a9b42fd5b3c2deec8bfe2f7", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Economist/Senior Economist Washington, District of Columbia Summary This position is for an Economist/Senior Economist in the Division of Housing Mission and Goals (DHMG) at the Federal Housing Finance Agency (FHFA). In this role, the incumbent will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. Duties Division of Housing Mission and Goals The Division of Housing Mission and Goals (DHMG) is responsible for FHFA policy development and analysis, oversight of the Enterprises' single-family and multifamily housing policy, oversight of the mission and goals of the Enterprises, and the housing finance and community investment mission of the Federal Home Loan Banks (FHLBs and capital policy for the Enterprises. In support of FHFA's mission and the Director's responsibilities as a member of the Federal Housing Finance Oversight Board, the Financial Stability Oversight Board, and the Financial Stability Oversight Council, the division also oversees and coordinates FHFA activities. Such activities involve data analyses, market surveillance, systemic risk monitoring, and analysis affecting housing finance and financial markets. Position Overview The Economist/Senior Economist will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. This role will demonstrate skills in research, analysis, assessment, programming, and data analytics with formal training in economics,", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.3ef30226f0d8b37507", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "69f02f095a9b42fd5b3c2deec8bfe2f7", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Economist/Senior Economist Washington, District of Columbia Summary This position is for an Economist/Senior Economist in the Division of Housing Mission and Goals (DHMG) at the Federal Housing Finance Agency (FHFA). In this role, the incumbent will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. Duties Division of Housing Mission and Goals The Division of Housing Mission and Goals (DHMG) is responsible for FHFA policy development and analysis, oversight of the Enterprises' single-family and multifamily housing policy, oversight of the mission and goals of the Enterprises, and the housing finance and community investment mission of the Federal Home Loan Banks (FHLBs and capital policy for the Enterprises. In support of FHFA's mission and the Director's responsibilities as a member of the Federal Housing Finance Oversight Board, the Financial Stability Oversight Board, and the Financial Stability Oversight Council, the division also oversees and coordinates FHFA activities. Such activities involve data analyses, market surveillance, systemic risk monitoring, and analysis affecting housing finance and financial markets. Position Overview The Economist/Senior Economist will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. This role will demonstrate skills in research, analysis, assessment, programming, and data analytics with formal training in economics,", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872102700", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872102700", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872102700", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "hire_states_allowed": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872102700", "source_values": [ "rule:state_eligibility" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872102700", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872102700", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "6dc3754a6f864ca5359f8988bc99808f", "title": "Engineering System Support Engineer", "employer_name": "Hermeus", "employer_slug": "hermeus", "location_text": "Los Angeles, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "CAD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-04-27T19:26:16.301Z", "apply_url": "https://jobs.lever.co/hermeus/872fd660-540e-4c22-839e-2e01f6cc364a", "apply_url_verified": false, "ats": "lever", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Engineering System Support Engineer Los Angeles, CA Hermeus is a venture-backed defense aviation company reclaiming the lost art of rapid iterative prototyping to build the fastest aircraft in the world today. By prioritizing relentless hardware iteration, we deliver high-speed systems at the pace of the modern battlefield. We work with the Department of War to provide the high-speed capabilities our nation and its allies need to maintain a durable, asymmetric advantage. Hermeus is scaling its engineering systems following the deployment of Siemens NX and Teamcenter. As we move from go-live into stabilization and continuous improvement, we are building a dedicated capability to support engineering teams and ensure system reliability, usability, and performance.This is not a traditional help desk role. This position sits at the intersection of CAD, PLM, and engineering workflows, focused on diagnosing system issues, improving system behavior, and enabling engineers to move faster with confidence. About The Role: As an Engineering System Support Engineer, you will be the frontline for engineering productivity - resolving issues, identifying systemic gaps, and driving continuous improvements across the NX and Teamcenter environment. Hermeus is scaling its engineering systems following the deployment of Siemens NX and Teamcenter. As we move from go-live into stabilization and continuous improvement, we are building a dedicated capability to support engineering teams and ensure system reliability, usability, and performance.This is not a traditional help desk role. This position sits at the intersection of CAD, PLM, and engineering workflows, focused on diagnosing system issues, improving system behavior, and enabling", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "unlimited_pto": { "field": "unlimited_pto", "source": "llm:greenfield:inv_371_postfix", "db_column": "unlimited_pto" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.00509f4edd02d18b14", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "6dc3754a6f864ca5359f8988bc99808f", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Engineering System Support Engineer Los Angeles, CA Hermeus is a venture-backed defense aviation company reclaiming the lost art of rapid iterative prototyping to build the fastest aircraft in the world today. By prioritizing relentless hardware iteration, we deliver high-speed systems at the pace of the modern battlefield. We work with the Department of War to provide the high-speed capabilities our nation and its allies need to maintain a durable, asymmetric advantage. Hermeus is scaling its engineering systems following the deployment of Siemens NX and Teamcenter. As we move from go-live into stabilization and continuous improvement, we are building a dedicated capability to support engineering teams and ensure system reliability, usability, and performance.This is not a traditional help desk role. This position sits at the intersection of CAD, PLM, and engineering workflows, focused on diagnosing system issues, improving system behavior, and enabling engineers to move faster with confidence. About The Role: As an Engineering System Support Engineer, you will be the frontline for engineering productivity - resolving issues, identifying systemic gaps, and driving continuous improvements across the NX and Teamcenter environment. Hermeus is scaling its engineering systems following the deployment of Siemens NX and Teamcenter. As we move from go-live into stabilization and continuous improvement, we are building a dedicated capability to support engineering teams and ensure system reliability, usability, and performance.This is not a traditional help desk role. This position sits at the intersection of CAD, PLM, and engineering workflows, focused on diagnosing system issues, improving system behavior, and enabling", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:6dc3754a6f864ca5359f8988bc99808f:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.5a3fcb118ab5d74050", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "6dc3754a6f864ca5359f8988bc99808f", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Engineering System Support Engineer Los Angeles, CA Hermeus is a venture-backed defense aviation company reclaiming the lost art of rapid iterative prototyping to build the fastest aircraft in the world today. By prioritizing relentless hardware iteration, we deliver high-speed systems at the pace of the modern battlefield. We work with the Department of War to provide the high-speed capabilities our nation and its allies need to maintain a durable, asymmetric advantage. Hermeus is scaling its engineering systems following the deployment of Siemens NX and Teamcenter. As we move from go-live into stabilization and continuous improvement, we are building a dedicated capability to support engineering teams and ensure system reliability, usability, and performance.This is not a traditional help desk role. This position sits at the intersection of CAD, PLM, and engineering workflows, focused on diagnosing system issues, improving system behavior, and enabling engineers to move faster with confidence. About The Role: As an Engineering System Support Engineer, you will be the frontline for engineering productivity - resolving issues, identifying systemic gaps, and driving continuous improvements across the NX and Teamcenter environment. Hermeus is scaling its engineering systems following the deployment of Siemens NX and Teamcenter. As we move from go-live into stabilization and continuous improvement, we are building a dedicated capability to support engineering teams and ensure system reliability, usability, and performance.This is not a traditional help desk role. This position sits at the intersection of CAD, PLM, and engineering workflows, focused on diagnosing system issues, improving system behavior, and enabling", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/872fd660-540e-4c22-839e-2e01f6cc364a", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/872fd660-540e-4c22-839e-2e01f6cc364a", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": null }, "unlimited_pto": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/872fd660-540e-4c22-839e-2e01f6cc364a", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/872fd660-540e-4c22-839e-2e01f6cc364a", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/872fd660-540e-4c22-839e-2e01f6cc364a", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "ffbd82736ad0eb966c7ed586cfede4d6", "title": "Machine Learning Engineer", "employer_name": "HappyRobot", "employer_slug": "happyrobot", "location_text": "Remote", "country": "unknown", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc", "a16z" ], "posted_at": "2025-10-23T03:56:39.270Z", "apply_url": "https://jobs.ashbyhq.com/happyrobot.ai/46cff020-a295-4464-a062-94639689654e", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Machine Learning Engineer Remote About HappyRobot HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for global enterprises worldwide. Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto. About the Role You'll be building AI models that make human-like conversations possible. You'll work at the intersection of speech, language, and intelligence, taking cutting-edge research and transforming it into real-time, scalable systems that power our core products. You'll have the unique opportunity to make a huge impact as one of our first ML hires, shaping not only the technology but also the direction of our company. From designing robust models to deploying them in production, you'll own the entire lifecycle of ML systems and help us stay ahead of the curve in AI innovation. About the Role - Design, build, and maintain scalable ML systems - from data ingestion and preprocessing to training, testing, and deployment. - Develop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 51, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "series_b", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.c88eaf289f8d48f33d", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "ffbd82736ad0eb966c7ed586cfede4d6", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Machine Learning Engineer Remote About HappyRobot HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for global enterprises worldwide. Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto. About the Role You'll be building AI models that make human-like conversations possible. You'll work at the intersection of speech, language, and intelligence, taking cutting-edge research and transforming it into real-time, scalable systems that power our core products. You'll have the unique opportunity to make a huge impact as one of our first ML hires, shaping not only the technology but also the direction of our company. From designing robust models to deploying them in production, you'll own the entire lifecycle of ML systems and help us stay ahead of the curve in AI innovation. About the Role - Design, build, and maintain scalable ML systems - from data ingestion and preprocessing to training, testing, and deployment. - Develop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.58570559d234ac8a1a", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "ffbd82736ad0eb966c7ed586cfede4d6", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:ffbd82736ad0eb966c7ed586cfede4d6:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/happyrobot.ai/46cff020-a295-4464-a062-94639689654e", "source_values": [ "rule:remote_status" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/happyrobot.ai/46cff020-a295-4464-a062-94639689654e", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/happyrobot.ai/46cff020-a295-4464-a062-94639689654e", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/happyrobot.ai/46cff020-a295-4464-a062-94639689654e", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/happyrobot.ai/46cff020-a295-4464-a062-94639689654e", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "86ae1d37f6ff3369a0a999c7772ff4c3", "title": "Senior Member of Technical Staff, Multimodal AI", "employer_name": "Cohere Health", "employer_slug": "cohere-health", "location_text": "San Francisco | Remote | New York | Toronto | Montreal | Paris", "country": "unknown", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/cohere/443368a3-6276-4b90-9671-27fed40fd6d2", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Member of Technical Staff, Multimodal AI San Francisco | Remote | New York | Toronto | Montreal | Paris Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? At Cohere, we believe in the power of multimodal AI to revolutionise the way we interact with technology. Our engineering teams push the boundaries of what's possible, and we're looking for talented individuals to join us on this exciting journey. With an exceptional ratio of compute resources to engineers, we provide an ideal environment for you to explore, innovate and shape the future of AI. July 31st 2025 - Cohere's Multimodal team Introduced Command A Vision: Multimodal", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 51, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "source_sector", "employer_size": "1001-5000", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.b0fc0638538469d5b4", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "86ae1d37f6ff3369a0a999c7772ff4c3", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Senior Member of Technical Staff, Multimodal AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.7e0318637cdc44faf6", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "86ae1d37f6ff3369a0a999c7772ff4c3", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:86ae1d37f6ff3369a0a999c7772ff4c3:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/cohere/443368a3-6276-4b90-9671-27fed40fd6d2", "source_values": [ "rule:remote_status" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/cohere/443368a3-6276-4b90-9671-27fed40fd6d2", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "k401_match": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/cohere/443368a3-6276-4b90-9671-27fed40fd6d2", "source_values": [ "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/cohere/443368a3-6276-4b90-9671-27fed40fd6d2", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/cohere/443368a3-6276-4b90-9671-27fed40fd6d2", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "7f5aab4c75edfe45b0baa18341e4f2c2", "title": "Senior Manager - Core Operations", "employer_name": "SumUp", "employer_slug": "sumup", "location_text": "Santiago, Chile", "country": "CL", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-05-04T18:07:39.000Z", "apply_url": "https://sumup.com/careers/positions/8534577002?gh_jid=8534577002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Manager - Core Operations Santiago, Chile CoreOps Senior Manager - Payments, Non-Payments & Enablement We believe in the everyday hero. Those who have the courage to follow their passion and who have the strength and determination to realize their dreams. Small business owners are at the heart of all we do, so we're creating powerful, easy-to-use financial solutions to help them run their businesses. With a founder's mentality and a 'team-first' attitude, our diverse teams across Europe, South America and the United States work together to ensure that small business owners can be successful doing what they love. About The Role This role leads Core Operations (CoreOps) in LATAM, owning the operational performance and resilience of three core areas: Payments, Non-Payments, and Enablement. The CoreOps Leader is accountable for ensuring that critical operational processes function reliably, efficiently, and at scale. This includes the end-to-end transaction lifecycle, non-transactional products that complement the core payments offering, and the onboarding and risk processes that enable sustainable growth. This is a leadership role, not an execution role. The primary responsibility is to set direction, establish clear ownership, and enable teams to perform, ensuring operational stability while supporting the company's long-term growth and profitability. What You'll Do - Lead and develop a cross-functional CoreOps team, structured around Payments, Non-Payments and Enablement. - Ensure the stability and resilience of own acquiring operations, including settlement, payouts, and reconciliation. - Be accountable for payout execution, ensuring funds are delivered on time, predictably, and with minimal manual intervention.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.1a3298bd9105eac651", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "7f5aab4c75edfe45b0baa18341e4f2c2", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Manager - Core Operations Santiago, Chile CoreOps Senior Manager - Payments, Non-Payments & Enablement We believe in the everyday hero. Those who have the courage to follow their passion and who have the strength and determination to realize their dreams. Small business owners are at the heart of all we do, so we're creating powerful, easy-to-use financial solutions to help them run their businesses. With a founder's mentality and a 'team-first' attitude, our diverse teams across Europe, South America and the United States work together to ensure that small business owners can be successful doing what they love. About The Role This role leads Core Operations (CoreOps) in LATAM, owning the operational performance and resilience of three core areas: Payments, Non-Payments, and Enablement. The CoreOps Leader is accountable for ensuring that critical operational processes function reliably, efficiently, and at scale. This includes the end-to-end transaction lifecycle, non-transactional products that complement the core payments offering, and the onboarding and risk processes that enable sustainable growth. This is a leadership role, not an execution role. The primary responsibility is to set direction, establish clear ownership, and enable teams to perform, ensuring operational stability while supporting the company's long-term growth and profitability. What You'll Do - Lead and develop a cross-functional CoreOps team, structured around Payments, Non-Payments and Enablement. - Ensure the stability and resilience of own acquiring operations, including settlement, payouts, and reconciliation. - Be accountable for payout execution, ensuring funds are delivered on time, predictably, and with minimal manual intervention.", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:7f5aab4c75edfe45b0baa18341e4f2c2:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.2624a4c22cf61a31cf", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "7f5aab4c75edfe45b0baa18341e4f2c2", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Manager - Core Operations Santiago, Chile CoreOps Senior Manager - Payments, Non-Payments & Enablement We believe in the everyday hero. Those who have the courage to follow their passion and who have the strength and determination to realize their dreams. Small business owners are at the heart of all we do, so we're creating powerful, easy-to-use financial solutions to help them run their businesses. With a founder's mentality and a 'team-first' attitude, our diverse teams across Europe, South America and the United States work together to ensure that small business owners can be successful doing what they love. About The Role This role leads Core Operations (CoreOps) in LATAM, owning the operational performance and resilience of three core areas: Payments, Non-Payments, and Enablement. The CoreOps Leader is accountable for ensuring that critical operational processes function reliably, efficiently, and at scale. This includes the end-to-end transaction lifecycle, non-transactional products that complement the core payments offering, and the onboarding and risk processes that enable sustainable growth. This is a leadership role, not an execution role. The primary responsibility is to set direction, establish clear ownership, and enable teams to perform, ensuring operational stability while supporting the company's long-term growth and profitability. What You'll Do - Lead and develop a cross-functional CoreOps team, structured around Payments, Non-Payments and Enablement. - Ensure the stability and resilience of own acquiring operations, including settlement, payouts, and reconciliation. - Be accountable for payout execution, ensuring funds are delivered on time, predictably, and with minimal manual intervention.", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:7f5aab4c75edfe45b0baa18341e4f2c2:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.3851cf44bd1bb49337", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "7f5aab4c75edfe45b0baa18341e4f2c2", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Manager - Core Operations Santiago, Chile CoreOps Senior Manager - Payments, Non-Payments & Enablement We believe in the everyday hero. Those who have the courage to follow their passion and who have the strength and determination to realize their dreams. Small business owners are at the heart of all we do, so we're creating powerful, easy-to-use financial solutions to help them run their businesses. With a founder's mentality and a 'team-first' attitude, our diverse teams across Europe, South America and the United States work together to ensure that small business owners can be successful doing what they love. About The Role This role leads Core Operations (CoreOps) in LATAM, owning the operational performance and resilience of three core areas: Payments, Non-Payments, and Enablement. The CoreOps Leader is accountable for ensuring that critical operational processes function reliably, efficiently, and at scale. This includes the end-to-end transaction lifecycle, non-transactional products that complement the core payments offering, and the onboarding and risk processes that enable sustainable growth. This is a leadership role, not an execution role. The primary responsibility is to set direction, establish clear ownership, and enable teams to perform, ensuring operational stability while supporting the company's long-term growth and profitability. What You'll Do - Lead and develop a cross-functional CoreOps team, structured around Payments, Non-Payments and Enablement. - Ensure the stability and resilience of own acquiring operations, including settlement, payouts, and reconciliation. - Be accountable for payout execution, ensuring funds are delivered on time, predictably, and with minimal manual intervention.", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.c0604b0dfe419b788d", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "7f5aab4c75edfe45b0baa18341e4f2c2", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Manager - Core Operations Santiago, Chile CoreOps Senior Manager - Payments, Non-Payments & Enablement We believe in the everyday hero. Those who have the courage to follow their passion and who have the strength and determination to realize their dreams. Small business owners are at the heart of all we do, so we're creating powerful, easy-to-use financial solutions to help them run their businesses. With a founder's mentality and a 'team-first' attitude, our diverse teams across Europe, South America and the United States work together to ensure that small business owners can be successful doing what they love. About The Role This role leads Core Operations (CoreOps) in LATAM, owning the operational performance and resilience of three core areas: Payments, Non-Payments, and Enablement. The CoreOps Leader is accountable for ensuring that critical operational processes function reliably, efficiently, and at scale. This includes the end-to-end transaction lifecycle, non-transactional products that complement the core payments offering, and the onboarding and risk processes that enable sustainable growth. This is a leadership role, not an execution role. The primary responsibility is to set direction, establish clear ownership, and enable teams to perform, ensuring operational stability while supporting the company's long-term growth and profitability. What You'll Do - Lead and develop a cross-functional CoreOps team, structured around Payments, Non-Payments and Enablement. - Ensure the stability and resilience of own acquiring operations, including settlement, payouts, and reconciliation. - Be accountable for payout execution, ensuring funds are delivered on time, predictably, and with minimal manual intervention.", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://sumup.com/careers/positions/8534577002?gh_jid=8534577002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://sumup.com/careers/positions/8534577002?gh_jid=8534577002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "aaee707e10889ad9948be18736d16b77", "title": "Software Engineer, Cortex AI Infrastructure", "employer_name": "Snowflake Inc.", "employer_slug": "snowflake", "location_text": "US-CA-Menlo Park, Menlo Park, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-21T23:18:14.964Z", "apply_url": "https://jobs.ashbyhq.com/snowflake/2db865d9-1b32-4f20-8091-de76c5d2b7f4", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer, Cortex AI Infrastructure US-CA-Menlo Park, Menlo Park, California, United States At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers who are energized by the opportunity to reinvent how they work. The Cortex Apps team is building the future of AI for enterprise data, and this role focuses on the backend infrastructure that powers our flagship products like Snowflake Intelligence, Cortex Agents, and Search. You won't just be using AI tools; you will be building the high-performance systems that orchestrate them, making agentic AI fast, reliable, scalable, and secure at the enterprise level. What you will do in this role: - Build Agentic Runtimes: Help build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1640147/000164014726000008/snow-20260131.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1640147/000164014726000008/snow-20260131.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 4, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.b6ddb0ae7787ccd1f8", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "aaee707e10889ad9948be18736d16b77", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Software Engineer, Cortex AI Infrastructure", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.69baaab284f3b26c9e", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "aaee707e10889ad9948be18736d16b77", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:aaee707e10889ad9948be18736d16b77:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1640147/000164014726000008/snow-20260131.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1640147/000164014726000008/snow-20260131.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/snowflake/2db865d9-1b32-4f20-8091-de76c5d2b7f4", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/snowflake/2db865d9-1b32-4f20-8091-de76c5d2b7f4", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/snowflake/2db865d9-1b32-4f20-8091-de76c5d2b7f4", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/snowflake/2db865d9-1b32-4f20-8091-de76c5d2b7f4", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "86c6a501f0674749ecdcc05fbcf133fe", "title": "Aerodynamics Engineer", "employer_name": "Hermeus", "employer_slug": "hermeus", "location_text": "Los Angeles, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 401000, "salary_max": 401000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "total_comp", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": null, "base_salary_max": null, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2025-12-12T03:00:49.926Z", "apply_url": "https://jobs.lever.co/hermeus/c9187245-a6b2-415a-ae4c-14aa18bb4207", "apply_url_verified": false, "ats": "lever", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Aerodynamics Engineer Los Angeles, CA Hermeus is a venture-backed defense aviation company reclaiming the lost art of rapid iterative prototyping to build the fastest aircraft in the world today. By prioritizing relentless hardware iteration, we deliver high-speed systems at the pace of the modern battlefield. We work with the Department of War to provide the high-speed capabilities our nation and its allies need to maintain a durable, asymmetric advantage. About The Role: We are seeking an exceptional Aerodynamics Engineer to contribute to the design and analysis of our high super sonic vehicles. As an Aerodynamics Engineer, you will play a crucial role in the development of advanced aerodynamic solutions, ensuring optimal performance, stability, and efficiency during high-speed flight. Join our dynamic team and be part of the journey to create groundbreaking aerospace solutions at an iterative pace not seen since the 60's. About The Role: We are seeking an exceptional Aerodynamics Engineer to contribute to the design and analysis of our high super sonic vehicles. As an Aerodynamics Engineer, you will play a crucial role in the development of advanced aerodynamic solutions, ensuring optimal performance, stability, and efficiency during high-speed flight. Join our dynamic team and be part of the journey to create groundbreaking aerospace solutions at an iterative pace not seen since the 60's. Hermeus is a venture-backed defense aviation company reclaiming the lost art of rapid iterative prototyping to build the fastest aircraft in the world today. By prioritizing relentless hardware iteration, we deliver high-speed systems at the", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "field": "equity_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_type" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "unlimited_pto": { "field": "unlimited_pto", "source": "llm:greenfield:inv_371_postfix", "db_column": "unlimited_pto" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 2, "years_experience_max": 6, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "growth-stage", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.3d30b0a29345a8702c", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "86c6a501f0674749ecdcc05fbcf133fe", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Aerodynamics Engineer Los Angeles, CA Hermeus is a venture-backed defense aviation company reclaiming the lost art of rapid iterative prototyping to build the fastest aircraft in the world today. By prioritizing relentless hardware iteration, we deliver high-speed systems at the pace of the modern battlefield. We work with the Department of War to provide the high-speed capabilities our nation and its allies need to maintain a durable, asymmetric advantage. About The Role: We are seeking an exceptional Aerodynamics Engineer to contribute to the design and analysis of our high super sonic vehicles. As an Aerodynamics Engineer, you will play a crucial role in the development of advanced aerodynamic solutions, ensuring optimal performance, stability, and efficiency during high-speed flight. Join our dynamic team and be part of the journey to create groundbreaking aerospace solutions at an iterative pace not seen since the 60's. About The Role: We are seeking an exceptional Aerodynamics Engineer to contribute to the design and analysis of our high super sonic vehicles. As an Aerodynamics Engineer, you will play a crucial role in the development of advanced aerodynamic solutions, ensuring optimal performance, stability, and efficiency during high-speed flight. Join our dynamic team and be part of the journey to create groundbreaking aerospace solutions at an iterative pace not seen since the 60's. Hermeus is a venture-backed defense aviation company reclaiming the lost art of rapid iterative prototyping to build the fastest aircraft in the world today. By prioritizing relentless hardware iteration, we deliver high-speed systems at the", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:86c6a501f0674749ecdcc05fbcf133fe:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.cec78f4c5ed257355d", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "86c6a501f0674749ecdcc05fbcf133fe", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Aerodynamics Engineer Los Angeles, CA Hermeus is a venture-backed defense aviation company reclaiming the lost art of rapid iterative prototyping to build the fastest aircraft in the world today. By prioritizing relentless hardware iteration, we deliver high-speed systems at the pace of the modern battlefield. We work with the Department of War to provide the high-speed capabilities our nation and its allies need to maintain a durable, asymmetric advantage. About The Role: We are seeking an exceptional Aerodynamics Engineer to contribute to the design and analysis of our high super sonic vehicles. As an Aerodynamics Engineer, you will play a crucial role in the development of advanced aerodynamic solutions, ensuring optimal performance, stability, and efficiency during high-speed flight. Join our dynamic team and be part of the journey to create groundbreaking aerospace solutions at an iterative pace not seen since the 60's. About The Role: We are seeking an exceptional Aerodynamics Engineer to contribute to the design and analysis of our high super sonic vehicles. As an Aerodynamics Engineer, you will play a crucial role in the development of advanced aerodynamic solutions, ensuring optimal performance, stability, and efficiency during high-speed flight. Join our dynamic team and be part of the journey to create groundbreaking aerospace solutions at an iterative pace not seen since the 60's. Hermeus is a venture-backed defense aviation company reclaiming the lost art of rapid iterative prototyping to build the fastest aircraft in the world today. By prioritizing relentless hardware iteration, we deliver high-speed systems at the", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:86c6a501f0674749ecdcc05fbcf133fe:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.007252b899cbdc2025", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "86c6a501f0674749ecdcc05fbcf133fe", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Aerodynamics Engineer Los Angeles, CA Hermeus is a venture-backed defense aviation company reclaiming the lost art of rapid iterative prototyping to build the fastest aircraft in the world today. By prioritizing relentless hardware iteration, we deliver high-speed systems at the pace of the modern battlefield. We work with the Department of War to provide the high-speed capabilities our nation and its allies need to maintain a durable, asymmetric advantage. About The Role: We are seeking an exceptional Aerodynamics Engineer to contribute to the design and analysis of our high super sonic vehicles. As an Aerodynamics Engineer, you will play a crucial role in the development of advanced aerodynamic solutions, ensuring optimal performance, stability, and efficiency during high-speed flight. Join our dynamic team and be part of the journey to create groundbreaking aerospace solutions at an iterative pace not seen since the 60's. About The Role: We are seeking an exceptional Aerodynamics Engineer to contribute to the design and analysis of our high super sonic vehicles. As an Aerodynamics Engineer, you will play a crucial role in the development of advanced aerodynamic solutions, ensuring optimal performance, stability, and efficiency during high-speed flight. Join our dynamic team and be part of the journey to create groundbreaking aerospace solutions at an iterative pace not seen since the 60's. Hermeus is a venture-backed defense aviation company reclaiming the lost art of rapid iterative prototyping to build the fastest aircraft in the world today. By prioritizing relentless hardware iteration, we deliver high-speed systems at the", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.68df43c9d7dcb1c514", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "86c6a501f0674749ecdcc05fbcf133fe", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Aerodynamics Engineer Los Angeles, CA Hermeus is a venture-backed defense aviation company reclaiming the lost art of rapid iterative prototyping to build the fastest aircraft in the world today. By prioritizing relentless hardware iteration, we deliver high-speed systems at the pace of the modern battlefield. We work with the Department of War to provide the high-speed capabilities our nation and its allies need to maintain a durable, asymmetric advantage. About The Role: We are seeking an exceptional Aerodynamics Engineer to contribute to the design and analysis of our high super sonic vehicles. As an Aerodynamics Engineer, you will play a crucial role in the development of advanced aerodynamic solutions, ensuring optimal performance, stability, and efficiency during high-speed flight. Join our dynamic team and be part of the journey to create groundbreaking aerospace solutions at an iterative pace not seen since the 60's. About The Role: We are seeking an exceptional Aerodynamics Engineer to contribute to the design and analysis of our high super sonic vehicles. As an Aerodynamics Engineer, you will play a crucial role in the development of advanced aerodynamic solutions, ensuring optimal performance, stability, and efficiency during high-speed flight. Join our dynamic team and be part of the journey to create groundbreaking aerospace solutions at an iterative pace not seen since the 60's. Hermeus is a venture-backed defense aviation company reclaiming the lost art of rapid iterative prototyping to build the fastest aircraft in the world today. By prioritizing relentless hardware iteration, we deliver high-speed systems at the", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/c9187245-a6b2-415a-ae4c-14aa18bb4207", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/c9187245-a6b2-415a-ae4c-14aa18bb4207", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/c9187245-a6b2-415a-ae4c-14aa18bb4207", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/c9187245-a6b2-415a-ae4c-14aa18bb4207", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "unlimited_pto": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/c9187245-a6b2-415a-ae4c-14aa18bb4207", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/c9187245-a6b2-415a-ae4c-14aa18bb4207", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/c9187245-a6b2-415a-ae4c-14aa18bb4207", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/c9187245-a6b2-415a-ae4c-14aa18bb4207", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "87728584dc4bd3d83af73aa5d68635c6", "title": "Engineering Application Support Engineer - NX/Teamcenter", "employer_name": "Hermeus", "employer_slug": "hermeus", "location_text": "Los Angeles, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "CAD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T23:02:09.408Z", "apply_url": "https://jobs.lever.co/hermeus/5c1c9439-cbe1-4b1b-bd11-9677c7ac8555", "apply_url_verified": false, "ats": "lever", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Engineering Application Support Engineer - NX/Teamcenter Los Angeles, CA Hermeus is a venture-backed defense aviation company reclaiming the lost art of rapid iterative prototyping to build the fastest aircraft in the world today. By prioritizing relentless hardware iteration, we deliver high-speed systems at the pace of the modern battlefield. We work with the Department of War to provide the high-speed capabilities our nation and its allies need to maintain a durable, asymmetric advantage. Hermeus is scaling its engineering systems following the deployment of Siemens NX and Teamcenter. As we move from go-live into stabilization and continuous improvement, we are building a dedicated capability to support engineering teams and ensure system reliability, usability, and performance.This is not a traditional help desk role. This position sits at the intersection of CAD, PLM, and engineering workflows, focused on diagnosing system issues, improving system behavior, and enabling engineers to move faster with confidence. About The Role: As an Engineering Application Support Engineer - NX/Teamcenter, you will be the frontline for engineering productivity - resolving issues, identifying systemic gaps, and driving continuous improvements across the NX and Teamcenter environment. Hermeus is scaling its engineering systems following the deployment of Siemens NX and Teamcenter. As we move from go-live into stabilization and continuous improvement, we are building a dedicated capability to support engineering teams and ensure system reliability, usability, and performance.This is not a traditional help desk role. This position sits at the intersection of CAD, PLM, and engineering workflows, focused on diagnosing system issues, improving", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "unlimited_pto": { "field": "unlimited_pto", "source": "llm:greenfield:inv_371_postfix", "db_column": "unlimited_pto" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.07ada13d73d182734d", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "87728584dc4bd3d83af73aa5d68635c6", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Engineering Application Support Engineer - NX/Teamcenter Los Angeles, CA Hermeus is a venture-backed defense aviation company reclaiming the lost art of rapid iterative prototyping to build the fastest aircraft in the world today. By prioritizing relentless hardware iteration, we deliver high-speed systems at the pace of the modern battlefield. We work with the Department of War to provide the high-speed capabilities our nation and its allies need to maintain a durable, asymmetric advantage. Hermeus is scaling its engineering systems following the deployment of Siemens NX and Teamcenter. As we move from go-live into stabilization and continuous improvement, we are building a dedicated capability to support engineering teams and ensure system reliability, usability, and performance.This is not a traditional help desk role. This position sits at the intersection of CAD, PLM, and engineering workflows, focused on diagnosing system issues, improving system behavior, and enabling engineers to move faster with confidence. About The Role: As an Engineering Application Support Engineer - NX/Teamcenter, you will be the frontline for engineering productivity - resolving issues, identifying systemic gaps, and driving continuous improvements across the NX and Teamcenter environment. Hermeus is scaling its engineering systems following the deployment of Siemens NX and Teamcenter. As we move from go-live into stabilization and continuous improvement, we are building a dedicated capability to support engineering teams and ensure system reliability, usability, and performance.This is not a traditional help desk role. This position sits at the intersection of CAD, PLM, and engineering workflows, focused on diagnosing system issues, improving", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:87728584dc4bd3d83af73aa5d68635c6:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.2c698784bc0d98c10f", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "87728584dc4bd3d83af73aa5d68635c6", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Engineering Application Support Engineer - NX/Teamcenter Los Angeles, CA Hermeus is a venture-backed defense aviation company reclaiming the lost art of rapid iterative prototyping to build the fastest aircraft in the world today. By prioritizing relentless hardware iteration, we deliver high-speed systems at the pace of the modern battlefield. We work with the Department of War to provide the high-speed capabilities our nation and its allies need to maintain a durable, asymmetric advantage. Hermeus is scaling its engineering systems following the deployment of Siemens NX and Teamcenter. As we move from go-live into stabilization and continuous improvement, we are building a dedicated capability to support engineering teams and ensure system reliability, usability, and performance.This is not a traditional help desk role. This position sits at the intersection of CAD, PLM, and engineering workflows, focused on diagnosing system issues, improving system behavior, and enabling engineers to move faster with confidence. About The Role: As an Engineering Application Support Engineer - NX/Teamcenter, you will be the frontline for engineering productivity - resolving issues, identifying systemic gaps, and driving continuous improvements across the NX and Teamcenter environment. Hermeus is scaling its engineering systems following the deployment of Siemens NX and Teamcenter. As we move from go-live into stabilization and continuous improvement, we are building a dedicated capability to support engineering teams and ensure system reliability, usability, and performance.This is not a traditional help desk role. This position sits at the intersection of CAD, PLM, and engineering workflows, focused on diagnosing system issues, improving", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/5c1c9439-cbe1-4b1b-bd11-9677c7ac8555", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/5c1c9439-cbe1-4b1b-bd11-9677c7ac8555", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": null }, "unlimited_pto": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/5c1c9439-cbe1-4b1b-bd11-9677c7ac8555", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/5c1c9439-cbe1-4b1b-bd11-9677c7ac8555", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/hermeus/5c1c9439-cbe1-4b1b-bd11-9677c7ac8555", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "9e940a3481454fc625d4723446371a5b", "title": "AI Growth Architect", "employer_name": "Hilbert", "employer_slug": "hilbert", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "a16z" ], "posted_at": "2025-11-14T22:08:59.174Z", "apply_url": "https://jobs.ashbyhq.com/hilberts/a6d2340e-562b-46f2-bc96-5a99e7e8aa76", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Growth Architect San Francisco, California, United States Hilbert is a scalable, data science-first growth engine that gives B2C teams predictive clarity into user behavior, revenue drivers, and the actions that drive sustainable growth. Fully agentic by design, Hilbert shrinks months-long decision cycles to minutes. From Fortune 10 enterprises to beloved brands like FreshDirect, Blank Street, and Levain Bakery, operators run their growth on Hilbert. We're also co-building alongside leading AI companies. A small, select group of growth operators sit at the core of our company. These minds shape how Hilbert's intelligence layer evolves, how customers grow, and how the company goes to market. THE ROLE Your responsibilities look like those of a founding operator embedded simultaneously inside a high-stakes product and commercial organization. You run Hilbert on real problems: you are expected to be its most demanding internal user, finding where the product's reasoning breaks down, challenging its outputs, and feeding that back into the intelligence layer as structured improvement input. Core Responsibilities - Run Hilbert on live growth problems, identify where its reasoning can do better, and translate those findings into structured input for the intelligence layer in coordination with product and tech teams - Translate hard-won B2C growth experience into the patterns, failure modes, and counter-intuitive signals that shape how the product detects, reasons, and acts - Work with Account Executives to turn Hilbert's output into concrete growth strategies for key accounts, from cohort analysis to LTV intervention to channel reallocation - Follow customer's growth with Hilbert,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "product", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "early", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.69f14faeb0cf4e0469", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "9e940a3481454fc625d4723446371a5b", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "AI Growth Architect", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.76451565181a31203d", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "9e940a3481454fc625d4723446371a5b", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "product", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:9e940a3481454fc625d4723446371a5b:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/hilberts/a6d2340e-562b-46f2-bc96-5a99e7e8aa76", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/hilberts/a6d2340e-562b-46f2-bc96-5a99e7e8aa76", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/hilberts/a6d2340e-562b-46f2-bc96-5a99e7e8aa76", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/hilberts/a6d2340e-562b-46f2-bc96-5a99e7e8aa76", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "87784cc90c10ab66ff8a9660493772c2", "title": "Sr Manager, FX Application Support (Capital Markets Technology)", "employer_name": "Bank of Nova Scotia", "employer_slug": "bank-of-nova-scotia", "location_text": "Toronto", "country": "CA", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.scotiabank.com/job/Toronto-Sr-Manager%2C-FX-Application-Support-%28Capital-Markets-Technology%29-ON-M5H-1H1/601578717/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr Manager, FX Application Support (Capital Markets Technology) Toronto Requisition ID: 257561 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Team Global Banking and Markets Engineering supports Scotiabank's FX and Capital Markets businesses. The FX Application Support function is responsible for ensuring stability, resilience, and continuous improvement of critical trading and post trade platforms operating in a global environment. The Role The Senior Manager Application Support FX Technology is accountable for end to end production support, operational governance, and people leadership for FX platforms. This role combines people management and strategic ownership with the ability to be hands on when required, particularly during major incidents, complex investigations, and operational risk reduction initiatives. The role owns outcomes for production stability, incident response quality, and operational maturity. Is this role right for you? In this role you will: People Leadership and Team Management Lead, manage, and develop a team of application support analysts and senior leads supporting FX platforms Set clear expectations around ownership, escalation, on call readiness, and operational discipline Drive accountability for incident response, problem management, and change outcomes Manage hiring, onboarding, performance management, coaching, and career development Ensure sustainable coverage models including follow the sun support where applicable Production Support and Hands On Leade", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "customer_success", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": true, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.612ed8c7f76390d0df", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "87784cc90c10ab66ff8a9660493772c2", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Sr Manager, FX Application Support (Capital Markets Technology) Toronto Requisition ID: 257561 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Team Global Banking and Markets Engineering supports Scotiabank's FX and Capital Markets businesses. The FX Application Support function is responsible for ensuring stability, resilience, and continuous improvement of critical trading and post trade platforms operating in a global environment. The Role The Senior Manager Application Support FX Technology is accountable for end to end production support, operational governance, and people leadership for FX platforms. This role combines people management and strategic ownership with the ability to be hands on when required, particularly during major incidents, complex investigations, and operational risk reduction initiatives. The role owns outcomes for production stability, incident response quality, and operational maturity. Is this role right for you? In this role you will: People Leadership and Team Management Lead, manage, and develop a team of application support analysts and senior leads supporting FX platforms Set clear expectations around ownership, escalation, on call readiness, and operational discipline Drive accountability for incident response, problem management, and change outcomes Manage hiring, onboarding, performance management, coaching, and career development Ensure sustainable coverage models including follow the sun support where applicable Production Support and Hands On Leade", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:87784cc90c10ab66ff8a9660493772c2:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.7ebdc68ef294b4e309", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "87784cc90c10ab66ff8a9660493772c2", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Sr Manager, FX Application Support (Capital Markets Technology) Toronto Requisition ID: 257561 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Team Global Banking and Markets Engineering supports Scotiabank's FX and Capital Markets businesses. The FX Application Support function is responsible for ensuring stability, resilience, and continuous improvement of critical trading and post trade platforms operating in a global environment. The Role The Senior Manager Application Support FX Technology is accountable for end to end production support, operational governance, and people leadership for FX platforms. This role combines people management and strategic ownership with the ability to be hands on when required, particularly during major incidents, complex investigations, and operational risk reduction initiatives. The role owns outcomes for production stability, incident response quality, and operational maturity. Is this role right for you? In this role you will: People Leadership and Team Management Lead, manage, and develop a team of application support analysts and senior leads supporting FX platforms Set clear expectations around ownership, escalation, on call readiness, and operational discipline Drive accountability for incident response, problem management, and change outcomes Manage hiring, onboarding, performance management, coaching, and career development Ensure sustainable coverage models including follow the sun support where applicable Production Support and Hands On Leade", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:87784cc90c10ab66ff8a9660493772c2:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.2b29c286f58bc76240", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "87784cc90c10ab66ff8a9660493772c2", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Sr Manager, FX Application Support (Capital Markets Technology) Toronto Requisition ID: 257561 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Team Global Banking and Markets Engineering supports Scotiabank's FX and Capital Markets businesses. The FX Application Support function is responsible for ensuring stability, resilience, and continuous improvement of critical trading and post trade platforms operating in a global environment. The Role The Senior Manager Application Support FX Technology is accountable for end to end production support, operational governance, and people leadership for FX platforms. This role combines people management and strategic ownership with the ability to be hands on when required, particularly during major incidents, complex investigations, and operational risk reduction initiatives. The role owns outcomes for production stability, incident response quality, and operational maturity. Is this role right for you? In this role you will: People Leadership and Team Management Lead, manage, and develop a team of application support analysts and senior leads supporting FX platforms Set clear expectations around ownership, escalation, on call readiness, and operational discipline Drive accountability for incident response, problem management, and change outcomes Manage hiring, onboarding, performance management, coaching, and career development Ensure sustainable coverage models including follow the sun support where applicable Production Support and Hands On Leade", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.9e7b6befe2f92ee20a", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "87784cc90c10ab66ff8a9660493772c2", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Sr Manager, FX Application Support (Capital Markets Technology) Toronto Requisition ID: 257561 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Team Global Banking and Markets Engineering supports Scotiabank's FX and Capital Markets businesses. The FX Application Support function is responsible for ensuring stability, resilience, and continuous improvement of critical trading and post trade platforms operating in a global environment. The Role The Senior Manager Application Support FX Technology is accountable for end to end production support, operational governance, and people leadership for FX platforms. This role combines people management and strategic ownership with the ability to be hands on when required, particularly during major incidents, complex investigations, and operational risk reduction initiatives. The role owns outcomes for production stability, incident response quality, and operational maturity. Is this role right for you? In this role you will: People Leadership and Team Management Lead, manage, and develop a team of application support analysts and senior leads supporting FX platforms Set clear expectations around ownership, escalation, on call readiness, and operational discipline Drive accountability for incident response, problem management, and change outcomes Manage hiring, onboarding, performance management, coaching, and career development Ensure sustainable coverage models including follow the sun support where applicable Production Support and Hands On Leade", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.scotiabank.com/job/Toronto-Sr-Manager%2C-FX-Application-Support-%28Capital-Markets-Technology%29-ON-M5H-1H1/601578717/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.scotiabank.com/job/Toronto-Sr-Manager%2C-FX-Application-Support-%28Capital-Markets-Technology%29-ON-M5H-1H1/601578717/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "10d796a8b035e6cf567c8e18bc30b35f", "title": "Senior AI Full‑Stack Engineer", "employer_name": "Manulife Financial Corporation", "employer_slug": "manulife-financial", "location_text": "Waterloo, Ontario", "country": "CA", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-02T00:00:00.000Z", "apply_url": "https://manulife.wd3.myworkdayjobs.com/MFCJH_Jobs/job/Waterloo-Ontario/Senior-AI-Full-Stack-Engineer_JR26051723", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior AI Full‑Stack Engineer Waterloo, Ontario posted: Posted 10 Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.b9237bfac168647bae", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "10d796a8b035e6cf567c8e18bc30b35f", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Senior AI Full‑Stack Engineer", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.3882f7ceeb60d38129", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "10d796a8b035e6cf567c8e18bc30b35f", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:10d796a8b035e6cf567c8e18bc30b35f:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://manulife.wd3.myworkdayjobs.com/MFCJH_Jobs/job/Waterloo-Ontario/Senior-AI-Full-Stack-Engineer_JR26051723", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://manulife.wd3.myworkdayjobs.com/MFCJH_Jobs/job/Waterloo-Ontario/Senior-AI-Full-Stack-Engineer_JR26051723", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "dffcb86ac8e5be775c7da1f2c2de4a19", "title": "Distinguished AI Engineer (Agentic AI Platform)", "employer_name": "Capital One Financial Corporation", "employer_slug": "capital-one-financial", "location_text": "5 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-13T00:00:00.000Z", "apply_url": "https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/San-Jose-CA/Distinguished-AI-Engineer--Agentic-AI-Platform-Infrastructure-_R232235-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Distinguished AI Engineer (Agentic AI Platform) 5 Locations posted: Posted 30 Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/927628/000092762826000024/cof-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/927628/000092762826000024/cof-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.393446b04cbb549b63", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "dffcb86ac8e5be775c7da1f2c2de4a19", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Distinguished AI Engineer (Agentic AI Platform)", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.49f3b41733ecc4d006", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "dffcb86ac8e5be775c7da1f2c2de4a19", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:dffcb86ac8e5be775c7da1f2c2de4a19:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/927628/000092762826000024/cof-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/927628/000092762826000024/cof-20251231.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/San-Jose-CA/Distinguished-AI-Engineer--Agentic-AI-Platform-Infrastructure-_R232235-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/San-Jose-CA/Distinguished-AI-Engineer--Agentic-AI-Platform-Infrastructure-_R232235-1", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "96cc0e541bb34da84df1737893b9466f", "title": "Module Koordinátor (Műszakvezető)", "employer_name": "Nestle", "employer_slug": "nestle", "location_text": "Country Hungary", "country": "HU", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobdetails.nestle.com/job/B%C3%BCk-Module-Koordin%C3%A1tor-%28M%C5%B1szakvezet%C5%91%29/1386061833/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Module Koordinátor (Műszakvezető) Country Hungary Pozíció főbb adatai: Munkavégzés helye: Bük Szükséges végzettség: középfokú végzettség Szakmai tapasztalat: termelő közegben szerzett vezetői tapasztalat Nyelvtudás: nem szükséges, angol nyelvtudás előny Munkarend: 12 órás, folyamatos műszak Ezek lesznek a kihívásaid: A területednek a termelési tervvel összhangban történő irányítása, működtetése. Így fog kinézni egy napod: A biztonsági előírások maradéktalan betartása és betartatása. Termékminőség biztosítása. Munkaerő koordinálása. Termelési tervek teljesítésének biztosítása. Napi, heti, havi megbeszéléseken való aktív részvétel, ezekre felkészülés beszámolókkal és kimutatásokkal. Napi kihívások és esetleges problémák rugalmas és célratörő megoldása. Az általános rend és tisztaság fenntartása és fenntarttatása az utasítások szerint. Területi fejlesztési projektek koordinálása. Ami sikeressé tesz Téged: Jó kommunikációs és vezetői készség. Rendszerben való gondolkodás. Jó problémamegoldó képesség. Következetesség. Felhasználói szintű, stabil, precíz számítástechnikai ismeretek. TPM ismeretek előnyt jelent. SAP ismeret előnyt jelent. Amit kínálni tudunk: Mindezekért cserébe rugalmas munkaidő, kiszámítható munkamennyiség, megfelelő juttatási csomag, XXI. századi munkakörnyezet egy folyamatosan fejlődő vállalatnál. Élelmiszeripari cégként a termelés egész évben egyenletes, hullámzásoktól mentes, maximálisan stabil. Kimagasló alapbér. Efelett 13. havi juttatás, továbbá éves bónuszok Bruttó 450.000 Ft Cafeteria. Bruttó 100.000 Ft", "parental_leave_weeks": 4, "non_birth_parent_leave_weeks": 4, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.nestleusa.com/parents/parental-leave-faqs", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 48, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.nestleusa.com/parents/parental-leave-faqs", "db_column": "parental_leave_weeks", "source_url": "https://www.nestleusa.com/parents/parental-leave-faqs" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Retail", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "high_school", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.5ef78c13df2d60e256", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "96cc0e541bb34da84df1737893b9466f", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Module Koordinátor (Műszakvezető) Country Hungary Pozíció főbb adatai: Munkavégzés helye: Bük Szükséges végzettség: középfokú végzettség Szakmai tapasztalat: termelő közegben szerzett vezetői tapasztalat Nyelvtudás: nem szükséges, angol nyelvtudás előny Munkarend: 12 órás, folyamatos műszak Ezek lesznek a kihívásaid: A területednek a termelési tervvel összhangban történő irányítása, működtetése. Így fog kinézni egy napod: A biztonsági előírások maradéktalan betartása és betartatása. Termékminőség biztosítása. Munkaerő koordinálása. Termelési tervek teljesítésének biztosítása. Napi, heti, havi megbeszéléseken való aktív részvétel, ezekre felkészülés beszámolókkal és kimutatásokkal. Napi kihívások és esetleges problémák rugalmas és célratörő megoldása. Az általános rend és tisztaság fenntartása és fenntarttatása az utasítások szerint. Területi fejlesztési projektek koordinálása. Ami sikeressé tesz Téged: Jó kommunikációs és vezetői készség. Rendszerben való gondolkodás. Jó problémamegoldó képesség. Következetesség. Felhasználói szintű, stabil, precíz számítástechnikai ismeretek. TPM ismeretek előnyt jelent. SAP ismeret előnyt jelent. Amit kínálni tudunk: Mindezekért cserébe rugalmas munkaidő, kiszámítható munkamennyiség, megfelelő juttatási csomag, XXI. századi munkakörnyezet egy folyamatosan fejlődő vállalatnál. Élelmiszeripari cégként a termelés egész évben egyenletes, hullámzásoktól mentes, maximálisan stabil. Kimagasló alapbér. Efelett 13. havi juttatás, továbbá éves bónuszok Bruttó 450.000 Ft Cafeteria. Bruttó 100.000 Ft", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:96cc0e541bb34da84df1737893b9466f:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.6d47d2dc0b823f0d4e", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "96cc0e541bb34da84df1737893b9466f", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Module Koordinátor (Műszakvezető) Country Hungary Pozíció főbb adatai: Munkavégzés helye: Bük Szükséges végzettség: középfokú végzettség Szakmai tapasztalat: termelő közegben szerzett vezetői tapasztalat Nyelvtudás: nem szükséges, angol nyelvtudás előny Munkarend: 12 órás, folyamatos műszak Ezek lesznek a kihívásaid: A területednek a termelési tervvel összhangban történő irányítása, működtetése. Így fog kinézni egy napod: A biztonsági előírások maradéktalan betartása és betartatása. Termékminőség biztosítása. Munkaerő koordinálása. Termelési tervek teljesítésének biztosítása. Napi, heti, havi megbeszéléseken való aktív részvétel, ezekre felkészülés beszámolókkal és kimutatásokkal. Napi kihívások és esetleges problémák rugalmas és célratörő megoldása. Az általános rend és tisztaság fenntartása és fenntarttatása az utasítások szerint. Területi fejlesztési projektek koordinálása. Ami sikeressé tesz Téged: Jó kommunikációs és vezetői készség. Rendszerben való gondolkodás. Jó problémamegoldó képesség. Következetesség. Felhasználói szintű, stabil, precíz számítástechnikai ismeretek. TPM ismeretek előnyt jelent. SAP ismeret előnyt jelent. Amit kínálni tudunk: Mindezekért cserébe rugalmas munkaidő, kiszámítható munkamennyiség, megfelelő juttatási csomag, XXI. századi munkakörnyezet egy folyamatosan fejlődő vállalatnál. Élelmiszeripari cégként a termelés egész évben egyenletes, hullámzásoktól mentes, maximálisan stabil. Kimagasló alapbér. Efelett 13. havi juttatás, továbbá éves bónuszok Bruttó 450.000 Ft Cafeteria. Bruttó 100.000 Ft", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobdetails.nestle.com/job/B%C3%BCk-Module-Koordin%C3%A1tor-%28M%C5%B1szakvezet%C5%91%29/1386061833/", "source_values": [ "https://www.nestleusa.com/parents/parental-leave-faqs" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobdetails.nestle.com/job/B%C3%BCk-Module-Koordin%C3%A1tor-%28M%C5%B1szakvezet%C5%91%29/1386061833/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobdetails.nestle.com/job/B%C3%BCk-Module-Koordin%C3%A1tor-%28M%C5%B1szakvezet%C5%91%29/1386061833/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobdetails.nestle.com/job/B%C3%BCk-Module-Koordin%C3%A1tor-%28M%C5%B1szakvezet%C5%91%29/1386061833/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobdetails.nestle.com/job/B%C3%BCk-Module-Koordin%C3%A1tor-%28M%C5%B1szakvezet%C5%91%29/1386061833/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "78b7d3791d4bc39b87e6e5882cb15c8f", "title": "Senior AI Engineer", "employer_name": "The Allstate Corporation", "employer_slug": "the-allstate", "location_text": "USA - IL (Remote)", "country": "US", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-14T00:00:00.000Z", "apply_url": "https://allstate.wd5.myworkdayjobs.com/allstate_careers/job/USA---IL-Remote/Senior-AI-Engineer_R29808-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior AI Engineer USA - IL (Remote) posted: Posted 29 Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 48, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/899051/000089905126000031/all-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/899051/000089905126000031/all-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.c2c5b7dc73c11fbf15", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "78b7d3791d4bc39b87e6e5882cb15c8f", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Senior AI Engineer", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.9d6efe3d30a3c578c7", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "78b7d3791d4bc39b87e6e5882cb15c8f", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:78b7d3791d4bc39b87e6e5882cb15c8f:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://allstate.wd5.myworkdayjobs.com/allstate_careers/job/USA---IL-Remote/Senior-AI-Engineer_R29808-1", "source_values": [ "rule:remote_status" ], "checked_at": null }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/899051/000089905126000031/all-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/899051/000089905126000031/all-20251231.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://allstate.wd5.myworkdayjobs.com/allstate_careers/job/USA---IL-Remote/Senior-AI-Engineer_R29808-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://allstate.wd5.myworkdayjobs.com/allstate_careers/job/USA---IL-Remote/Senior-AI-Engineer_R29808-1", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "a20aa1419f6a9462873fa8f810259180", "title": "Business Systems Support Technician", "employer_name": "Legrand", "employer_slug": "legrand", "location_text": "Mississauga, ON, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 65000, "salary_max": 80000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 65000, "base_salary_max": 80000, "salary_disclosed": true, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs-legrand.icims.com/jobs/9975/business-systems-support-technician/job", "apply_url_verified": false, "ats": "icims", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Systems Support Technician Mississauga, ON, CA Position Description At a Glance Legrand has an exciting opportunity for a Business Systems Support Technician to join the Electrical Wiring Systems Power Bus Way Team in Mississauga, ON. The Business Systems Support Technician plays a critical hands-on role in deploying, supporting, and improving ERP, CPQ, and integrated software solutions across our operations. You will work closely with engineering, production, and business teams to ensure systems run smoothly, processes are optimized, and data is accurate and reliable. What Will You Do? ERP Modernization & CPQ Rollout: Play a key role in stabilizing and expanding the platforms that control quoting, pricing, configuration, and order processing. Cloud & Integration Growth: Support cloud migrations and develop system integrations as our tech stack moves toward more automation and API-driven workflows. Direct Business Impact: Work closely with teams on the shop floor and in the office, turning real business needs into functional, efficient software solutions. Configure, test, and deploy new ERP and CPQ features and enhancements. Troubleshoot integration issues between ERP, CPQ, and other connected applications. Document procedures, workflows, and technical changes clearly for user adoption. Provide hands-on support to internal users; resolve tickets and maintain system stability. Support cloud migration tasks and environment checks. Perform other duties as assigned. Qualifications Qualifications Required: Post-secondary educa", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.641651816ac90f5545", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "a20aa1419f6a9462873fa8f810259180", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Business Systems Support Technician Mississauga, ON, CA Position Description At a Glance Legrand has an exciting opportunity for a Business Systems Support Technician to join the Electrical Wiring Systems Power Bus Way Team in Mississauga, ON. The Business Systems Support Technician plays a critical hands-on role in deploying, supporting, and improving ERP, CPQ, and integrated software solutions across our operations. You will work closely with engineering, production, and business teams to ensure systems run smoothly, processes are optimized, and data is accurate and reliable. What Will You Do? ERP Modernization & CPQ Rollout: Play a key role in stabilizing and expanding the platforms that control quoting, pricing, configuration, and order processing. Cloud & Integration Growth: Support cloud migrations and develop system integrations as our tech stack moves toward more automation and API-driven workflows. Direct Business Impact: Work closely with teams on the shop floor and in the office, turning real business needs into functional, efficient software solutions. Configure, test, and deploy new ERP and CPQ features and enhancements. Troubleshoot integration issues between ERP, CPQ, and other connected applications. Document procedures, workflows, and technical changes clearly for user adoption. Provide hands-on support to internal users; resolve tickets and maintain system stability. Support cloud migration tasks and environment checks. Perform other duties as assigned. Qualifications Qualifications Required: Post-secondary educa", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:a20aa1419f6a9462873fa8f810259180:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.f978a49e1f564b1c76", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "a20aa1419f6a9462873fa8f810259180", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Business Systems Support Technician Mississauga, ON, CA Position Description At a Glance Legrand has an exciting opportunity for a Business Systems Support Technician to join the Electrical Wiring Systems Power Bus Way Team in Mississauga, ON. The Business Systems Support Technician plays a critical hands-on role in deploying, supporting, and improving ERP, CPQ, and integrated software solutions across our operations. You will work closely with engineering, production, and business teams to ensure systems run smoothly, processes are optimized, and data is accurate and reliable. What Will You Do? ERP Modernization & CPQ Rollout: Play a key role in stabilizing and expanding the platforms that control quoting, pricing, configuration, and order processing. Cloud & Integration Growth: Support cloud migrations and develop system integrations as our tech stack moves toward more automation and API-driven workflows. Direct Business Impact: Work closely with teams on the shop floor and in the office, turning real business needs into functional, efficient software solutions. Configure, test, and deploy new ERP and CPQ features and enhancements. Troubleshoot integration issues between ERP, CPQ, and other connected applications. Document procedures, workflows, and technical changes clearly for user adoption. Provide hands-on support to internal users; resolve tickets and maintain system stability. Support cloud migration tasks and environment checks. Perform other duties as assigned. Qualifications Qualifications Required: Post-secondary educa", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:a20aa1419f6a9462873fa8f810259180:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.3ea75bbb39b90e29f3", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "a20aa1419f6a9462873fa8f810259180", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Business Systems Support Technician Mississauga, ON, CA Position Description At a Glance Legrand has an exciting opportunity for a Business Systems Support Technician to join the Electrical Wiring Systems Power Bus Way Team in Mississauga, ON. The Business Systems Support Technician plays a critical hands-on role in deploying, supporting, and improving ERP, CPQ, and integrated software solutions across our operations. You will work closely with engineering, production, and business teams to ensure systems run smoothly, processes are optimized, and data is accurate and reliable. What Will You Do? ERP Modernization & CPQ Rollout: Play a key role in stabilizing and expanding the platforms that control quoting, pricing, configuration, and order processing. Cloud & Integration Growth: Support cloud migrations and develop system integrations as our tech stack moves toward more automation and API-driven workflows. Direct Business Impact: Work closely with teams on the shop floor and in the office, turning real business needs into functional, efficient software solutions. Configure, test, and deploy new ERP and CPQ features and enhancements. Troubleshoot integration issues between ERP, CPQ, and other connected applications. Document procedures, workflows, and technical changes clearly for user adoption. Provide hands-on support to internal users; resolve tickets and maintain system stability. Support cloud migration tasks and environment checks. Perform other duties as assigned. Qualifications Qualifications Required: Post-secondary educa", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.db11a36f7053443752", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "a20aa1419f6a9462873fa8f810259180", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Business Systems Support Technician Mississauga, ON, CA Position Description At a Glance Legrand has an exciting opportunity for a Business Systems Support Technician to join the Electrical Wiring Systems Power Bus Way Team in Mississauga, ON. The Business Systems Support Technician plays a critical hands-on role in deploying, supporting, and improving ERP, CPQ, and integrated software solutions across our operations. You will work closely with engineering, production, and business teams to ensure systems run smoothly, processes are optimized, and data is accurate and reliable. What Will You Do? ERP Modernization & CPQ Rollout: Play a key role in stabilizing and expanding the platforms that control quoting, pricing, configuration, and order processing. Cloud & Integration Growth: Support cloud migrations and develop system integrations as our tech stack moves toward more automation and API-driven workflows. Direct Business Impact: Work closely with teams on the shop floor and in the office, turning real business needs into functional, efficient software solutions. Configure, test, and deploy new ERP and CPQ features and enhancements. Troubleshoot integration issues between ERP, CPQ, and other connected applications. Document procedures, workflows, and technical changes clearly for user adoption. Provide hands-on support to internal users; resolve tickets and maintain system stability. Support cloud migration tasks and environment checks. Perform other duties as assigned. Qualifications Qualifications Required: Post-secondary educa", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs-legrand.icims.com/jobs/9975/business-systems-support-technician/job", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs-legrand.icims.com/jobs/9975/business-systems-support-technician/job", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs-legrand.icims.com/jobs/9975/business-systems-support-technician/job", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs-legrand.icims.com/jobs/9975/business-systems-support-technician/job", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs-legrand.icims.com/jobs/9975/business-systems-support-technician/job", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "a8a2a85ab5266cb7a7df15f45df03a3f", "title": "RN Stroke Nurse", "employer_name": "CommonSpirit Health", "employer_slug": "commonspirit-health", "location_text": "UNAVAILABLE, UNAVAILABLE, UNAVAILABLE", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://careers-commonspirit.icims.com/jobs/470697/rn-stroke-nurse/job", "apply_url_verified": false, "ats": "icims", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "RN Stroke Nurse UNAVAILABLE, UNAVAILABLE, UNAVAILABLE Where You'll Work Founded in 1926, Dignity Health - Glendale Memorial Hospital and Health Center is a 334-bed, acute care, nonprofit hospital. Serving over 70,000 patients annually, the hospital offers a full complement of services including a Level III NICU, heart care, wound care and surgical services. Additionally, Glendale Memorial Hospital has been recognized as an LGBTQ+ Healthcare Equality High Performer by the Human Rights Campaign Foundation. It is a Joint Commission-certified Thrombectomy-Capable Stroke Center and a SRC Center of Excellence for Robotic Surgery and Colorectal Surgery. One Community. One Mission. One California Job Summary and Responsibilities As an Emergency Room Nurse at Glendale Hospital Medical Center, part of CommonSpirit Health, you'll provide critical care and support to those facing health emergencies. Join our Level II Trauma Center team, serving both adults and children, and be a part of the only Pediatric Trauma Center in the San Fernando Valley. Every day is different, offering a dynamic and rewarding career where you can truly make a difference. As part of CommonSpirit Health, we offer a supportive and values-driven work environment where you can grow both personally and professionally. Triage & Treat: Rapidly assess patients using emergency protocols to determine the appropriate course of action (intake, discharge, or admission). Stabilize & Adapt: Deliver critical stabilizing care to patients of all ages, adjusting treatment plans based", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "healthcare", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.b9759e62d47faf6c28", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "a8a2a85ab5266cb7a7df15f45df03a3f", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "RN Stroke Nurse UNAVAILABLE, UNAVAILABLE, UNAVAILABLE Where You'll Work Founded in 1926, Dignity Health - Glendale Memorial Hospital and Health Center is a 334-bed, acute care, nonprofit hospital. Serving over 70,000 patients annually, the hospital offers a full complement of services including a Level III NICU, heart care, wound care and surgical services. Additionally, Glendale Memorial Hospital has been recognized as an LGBTQ+ Healthcare Equality High Performer by the Human Rights Campaign Foundation. It is a Joint Commission-certified Thrombectomy-Capable Stroke Center and a SRC Center of Excellence for Robotic Surgery and Colorectal Surgery. One Community. One Mission. One California Job Summary and Responsibilities As an Emergency Room Nurse at Glendale Hospital Medical Center, part of CommonSpirit Health, you'll provide critical care and support to those facing health emergencies. Join our Level II Trauma Center team, serving both adults and children, and be a part of the only Pediatric Trauma Center in the San Fernando Valley. Every day is different, offering a dynamic and rewarding career where you can truly make a difference. As part of CommonSpirit Health, we offer a supportive and values-driven work environment where you can grow both personally and professionally. Triage & Treat: Rapidly assess patients using emergency protocols to determine the appropriate course of action (intake, discharge, or admission). Stabilize & Adapt: Deliver critical stabilizing care to patients of all ages, adjusting treatment plans based", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:a8a2a85ab5266cb7a7df15f45df03a3f:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.location_text.9f99caa4e5f7002660", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "a8a2a85ab5266cb7a7df15f45df03a3f", "signal_type": "query_match", "display_text": "Location: \"ai\"", "tooltip": "Location matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "location_text", "source_value": "UNAVAILABLE, UNAVAILABLE, UNAVAILABLE", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:a8a2a85ab5266cb7a7df15f45df03a3f:location:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.location_text.318ff183d78544cf99", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "a8a2a85ab5266cb7a7df15f45df03a3f", "signal_type": "query_match", "display_text": "Location: \"ai\"", "tooltip": "Location contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "location_text", "source_value": "UNAVAILABLE, UNAVAILABLE, UNAVAILABLE", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers-commonspirit.icims.com/jobs/470697/rn-stroke-nurse/job", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers-commonspirit.icims.com/jobs/470697/rn-stroke-nurse/job", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "cf387c89345d929a9f27db1adb415030", "title": "Principal Engineer - AI Agents and Systems", "employer_name": "NVIDIA Corporation", "employer_slug": "nvidia", "location_text": "2 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Engineer---AI-Agents-and-Systems_JR2015498", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Principal Engineer - AI Agents and Systems 2 Locations posted: Posted 30+ Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1045810/000104581026000021/nvda-20260125.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1045810/000104581026000021/nvda-20260125.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.1a0942cc62dd65a343", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "cf387c89345d929a9f27db1adb415030", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Principal Engineer - AI Agents and Systems", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.a6f007834a1d88ab98", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "cf387c89345d929a9f27db1adb415030", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:cf387c89345d929a9f27db1adb415030:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1045810/000104581026000021/nvda-20260125.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1045810/000104581026000021/nvda-20260125.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Engineer---AI-Agents-and-Systems_JR2015498", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Engineer---AI-Agents-and-Systems_JR2015498", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "bdf5f6dfc00e4f51baf8046f1ce68ae7", "title": "Accountant", "employer_name": "Nucor", "employer_slug": "nucor", "location_text": "Job Posting Country United States | Job Posting State/Province FL | Job Posting City Tampa", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 262000, "salary_max": 400000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 262000, "base_salary_max": 400000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": true, "bonus_offered": true, "mental_health_support": true, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": true, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.nucor.com/job/Tampa-Accountant-FL-33610/1379201500/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Accountant Job Posting Country United States | Job Posting State/Province FL | Job Posting City Tampa Job Details Division: Location: Job Posting City Tampa, Job Posting State/Province FL, Job Posting Country United States Other Available Locations: Welcome to Nucor, where our unique culture sets us apart. Joining Nucor means becoming part of North America's largest steel and steel products manufacturer, offering unmatched career opportunities and stability. We are known for our innovative sustainability practices and are the continent's largest recycler. Our vibrant culture, built on personal connections and teamwork, empowers every team member with the freedom to innovate and contribute to our collective success. Experience a workplace where safety, efficiency, and meaningful personal connections define every day, enriching both our teammates and the communities we serve. Nucor supports its teammates with top-tier benefits like Medical, Dental, Vision, and Disability Insurance, 401K and Roth accounts, Profit sharing, Pay-for-performance bonuses, Paid parental leave, Tuition reimbursement, Stock program, Scholarships and more. About Us: Trademark Metals Recycling is a division of the Nucor Corporation is a Fortune 150 company, known for being North America's leader in designing, manufacturing, and recycling steel and steel products with a history of long-term sustainability and stability. Fortune Magazine recently ranked Nucor No. 1 on their list of the World's Most Admired Companies in our industry. The key to Nucor's success is that we care about the safety and well-being", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/73309/000119312526071575/nue-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "bonus_offered": { "field": "bonus_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "bonus_offered" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/73309/000119312526071575/nue-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "learning_budget_offered": { "field": "learning_budget_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "learning_budget_offered" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "finance", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.79b2923ee53bde3fc2", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "bdf5f6dfc00e4f51baf8046f1ce68ae7", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Accountant Job Posting Country United States | Job Posting State/Province FL | Job Posting City Tampa Job Details Division: Location: Job Posting City Tampa, Job Posting State/Province FL, Job Posting Country United States Other Available Locations: Welcome to Nucor, where our unique culture sets us apart. Joining Nucor means becoming part of North America's largest steel and steel products manufacturer, offering unmatched career opportunities and stability. We are known for our innovative sustainability practices and are the continent's largest recycler. Our vibrant culture, built on personal connections and teamwork, empowers every team member with the freedom to innovate and contribute to our collective success. Experience a workplace where safety, efficiency, and meaningful personal connections define every day, enriching both our teammates and the communities we serve. Nucor supports its teammates with top-tier benefits like Medical, Dental, Vision, and Disability Insurance, 401K and Roth accounts, Profit sharing, Pay-for-performance bonuses, Paid parental leave, Tuition reimbursement, Stock program, Scholarships and more. About Us: Trademark Metals Recycling is a division of the Nucor Corporation is a Fortune 150 company, known for being North America's leader in designing, manufacturing, and recycling steel and steel products with a history of long-term sustainability and stability. Fortune Magazine recently ranked Nucor No. 1 on their list of the World's Most Admired Companies in our industry. The key to Nucor's success is that we care about the safety and well-being", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:bdf5f6dfc00e4f51baf8046f1ce68ae7:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.f854dba04488ebf8e6", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "bdf5f6dfc00e4f51baf8046f1ce68ae7", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Accountant Job Posting Country United States | Job Posting State/Province FL | Job Posting City Tampa Job Details Division: Location: Job Posting City Tampa, Job Posting State/Province FL, Job Posting Country United States Other Available Locations: Welcome to Nucor, where our unique culture sets us apart. Joining Nucor means becoming part of North America's largest steel and steel products manufacturer, offering unmatched career opportunities and stability. We are known for our innovative sustainability practices and are the continent's largest recycler. Our vibrant culture, built on personal connections and teamwork, empowers every team member with the freedom to innovate and contribute to our collective success. Experience a workplace where safety, efficiency, and meaningful personal connections define every day, enriching both our teammates and the communities we serve. Nucor supports its teammates with top-tier benefits like Medical, Dental, Vision, and Disability Insurance, 401K and Roth accounts, Profit sharing, Pay-for-performance bonuses, Paid parental leave, Tuition reimbursement, Stock program, Scholarships and more. About Us: Trademark Metals Recycling is a division of the Nucor Corporation is a Fortune 150 company, known for being North America's leader in designing, manufacturing, and recycling steel and steel products with a history of long-term sustainability and stability. Fortune Magazine recently ranked Nucor No. 1 on their list of the World's Most Admired Companies in our industry. The key to Nucor's success is that we care about the safety and well-being", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:bdf5f6dfc00e4f51baf8046f1ce68ae7:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.59864a2b78574d3092", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "bdf5f6dfc00e4f51baf8046f1ce68ae7", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Accountant Job Posting Country United States | Job Posting State/Province FL | Job Posting City Tampa Job Details Division: Location: Job Posting City Tampa, Job Posting State/Province FL, Job Posting Country United States Other Available Locations: Welcome to Nucor, where our unique culture sets us apart. Joining Nucor means becoming part of North America's largest steel and steel products manufacturer, offering unmatched career opportunities and stability. We are known for our innovative sustainability practices and are the continent's largest recycler. Our vibrant culture, built on personal connections and teamwork, empowers every team member with the freedom to innovate and contribute to our collective success. Experience a workplace where safety, efficiency, and meaningful personal connections define every day, enriching both our teammates and the communities we serve. Nucor supports its teammates with top-tier benefits like Medical, Dental, Vision, and Disability Insurance, 401K and Roth accounts, Profit sharing, Pay-for-performance bonuses, Paid parental leave, Tuition reimbursement, Stock program, Scholarships and more. About Us: Trademark Metals Recycling is a division of the Nucor Corporation is a Fortune 150 company, known for being North America's leader in designing, manufacturing, and recycling steel and steel products with a history of long-term sustainability and stability. Fortune Magazine recently ranked Nucor No. 1 on their list of the World's Most Admired Companies in our industry. The key to Nucor's success is that we care about the safety and well-being", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.c9404aad494ff8d4a0", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "bdf5f6dfc00e4f51baf8046f1ce68ae7", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Accountant Job Posting Country United States | Job Posting State/Province FL | Job Posting City Tampa Job Details Division: Location: Job Posting City Tampa, Job Posting State/Province FL, Job Posting Country United States Other Available Locations: Welcome to Nucor, where our unique culture sets us apart. Joining Nucor means becoming part of North America's largest steel and steel products manufacturer, offering unmatched career opportunities and stability. We are known for our innovative sustainability practices and are the continent's largest recycler. Our vibrant culture, built on personal connections and teamwork, empowers every team member with the freedom to innovate and contribute to our collective success. Experience a workplace where safety, efficiency, and meaningful personal connections define every day, enriching both our teammates and the communities we serve. Nucor supports its teammates with top-tier benefits like Medical, Dental, Vision, and Disability Insurance, 401K and Roth accounts, Profit sharing, Pay-for-performance bonuses, Paid parental leave, Tuition reimbursement, Stock program, Scholarships and more. About Us: Trademark Metals Recycling is a division of the Nucor Corporation is a Fortune 150 company, known for being North America's leader in designing, manufacturing, and recycling steel and steel products with a history of long-term sustainability and stability. Fortune Magazine recently ranked Nucor No. 1 on their list of the World's Most Admired Companies in our industry. The key to Nucor's success is that we care about the safety and well-being", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.nucor.com/job/Tampa-Accountant-FL-33610/1379201500/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.nucor.com/job/Tampa-Accountant-FL-33610/1379201500/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.nucor.com/job/Tampa-Accountant-FL-33610/1379201500/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/73309/000119312526071575/nue-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/73309/000119312526071575/nue-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.nucor.com/job/Tampa-Accountant-FL-33610/1379201500/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.nucor.com/job/Tampa-Accountant-FL-33610/1379201500/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.nucor.com/job/Tampa-Accountant-FL-33610/1379201500/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.nucor.com/job/Tampa-Accountant-FL-33610/1379201500/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "learning_budget_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.nucor.com/job/Tampa-Accountant-FL-33610/1379201500/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-13T01:18:42.546Z" } } }, { "id": "3dbf707d566749c7b37ba4b2ed1b0a2c", "title": "Senior AI Engineer, Agentic Interactions", "employer_name": "Govini", "employer_slug": "govini", "location_text": "Pittsburgh, Pennsylvania, United States", "country": "US", "employment_type": "full_time", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-01-30T16:46:16.000Z", "apply_url": "https://job-boards.greenhouse.io/govini/jobs/4114639009", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior AI Engineer, Agentic Interactions Pittsburgh, Pennsylvania, United States Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science & Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are seeking an experienced AI Engineer to join our Agentic AI team as we scale our agentic offerings across all levels of the US government. Over the past year, we have seen the rapid adoption of our agent, Ace. We expect Ace to interact with all Ark interfaces in an agentic manner as time goes on. The team is striving to make Ace an even more effective agent, focusing on planning, reliable execution over longer time horizon tasks, scaled tool use, Ace Skills, memory, and inter-agent coordination. In order to do this job well, we are looking for someone who can demonstrate a project built on LLMs that showcases your skill at getting them to interact with frontend interfaces agentically. Experience designing front-end architectures with explicit state and action models suitable for AI-driven interaction (agent-controlled UI, tool invocation, and deterministic workflows). - Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations - Experience integrating and working with", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "contractor_type": { "field": "contractor_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "contractor_type" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "us_citizenship_required": { "field": "us_citizenship_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "us_citizenship_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "growth-stage", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": 10, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": true, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.e56ec463136a0e544c", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "3dbf707d566749c7b37ba4b2ed1b0a2c", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Senior AI Engineer, Agentic Interactions", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.cb88069970b9639c87", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "3dbf707d566749c7b37ba4b2ed1b0a2c", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:3dbf707d566749c7b37ba4b2ed1b0a2c:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/govini/jobs/4114639009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/govini/jobs/4114639009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/govini/jobs/4114639009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "65a7bde401bdfefb50285f762e9769f7", "title": "Advanced Technology: AI/ML Research Scientist", "employer_name": "Cerebras Systems", "employer_slug": "cerebras-systems", "location_text": "Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada", "country": "CA", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-04-06T20:50:28.000Z", "apply_url": "https://job-boards.greenhouse.io/cerebrassystems/jobs/7691353003", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Advanced Technology: AI/ML Research Scientist Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Team Cerebras builds wafer-scale AI processors-single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras ' pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing, SIAM, IEEE,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 0, "years_experience_max": 7, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "growth-stage", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.0bd9a38b03558183d7", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "65a7bde401bdfefb50285f762e9769f7", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Advanced Technology: AI/ML Research Scientist", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.7e5b97d2d43769b8f5", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "65a7bde401bdfefb50285f762e9769f7", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:65a7bde401bdfefb50285f762e9769f7:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/cerebrassystems/jobs/7691353003", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/cerebrassystems/jobs/7691353003", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/cerebrassystems/jobs/7691353003", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "c76e5f992aa2de0750dda79f08783d4b", "title": "Operations Program Manager, Advanced Hardware Manufacturing", "employer_name": "Zoox", "employer_slug": "zoox", "location_text": "Fremont, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base_plus_commission", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-03-19T22:17:37.569Z", "apply_url": "https://jobs.lever.co/zoox/896c8fac-52f9-4db3-a8f6-521041d254be", "apply_url_verified": false, "ats": "lever", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Operations Program Manager, Advanced Hardware Manufacturing Fremont, CA The Operations Program Manager (OPM) role at Zoox will develop processes in Manufacturing Operations, and be responsible for complex hardware assemblies, and ensure product performance and scalability to meet the Demand Plan at Zoox. This role sits within the Advanced Hardware Manufacturing Operations Team at Zoox. The role will manage the overall production readiness, including metrics and daily reporting, alignment of production schedule to demand, overall material readiness and coordination between different production stages, through Testing and validation, and manufacturing at scale. The Operations Program Manager (OPM) role at Zoox will develop processes in Manufacturing Operations, and be responsible for complex hardware assemblies, and ensure product performance and scalability to meet the Demand Plan at Zoox. This role sits within the Advanced Hardware Manufacturing Operations Team at Zoox. The role will manage the overall production readiness, including metrics and daily reporting, alignment of production schedule to demand, overall material readiness and coordination between different production stages, through Testing and validation, and manufacturing at scale. In this job, you will - Own the program for scaling the hardware products. Oversee operations, planning, and execution of production. - This role will combine both tactical and strategic planning to ensure lines stability - Report on daily, weekly, and monthly in both cross functional meetings and written update on metrics required to scale the product including triaging issues as they occur - Leverage Zoox knowledge across engineering, supply chain, and manufacturing to ensure line stability and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "operations", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": 10, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.3adfd153ede5f892a3", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "c76e5f992aa2de0750dda79f08783d4b", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Operations Program Manager, Advanced Hardware Manufacturing Fremont, CA The Operations Program Manager (OPM) role at Zoox will develop processes in Manufacturing Operations, and be responsible for complex hardware assemblies, and ensure product performance and scalability to meet the Demand Plan at Zoox. This role sits within the Advanced Hardware Manufacturing Operations Team at Zoox. The role will manage the overall production readiness, including metrics and daily reporting, alignment of production schedule to demand, overall material readiness and coordination between different production stages, through Testing and validation, and manufacturing at scale. The Operations Program Manager (OPM) role at Zoox will develop processes in Manufacturing Operations, and be responsible for complex hardware assemblies, and ensure product performance and scalability to meet the Demand Plan at Zoox. This role sits within the Advanced Hardware Manufacturing Operations Team at Zoox. The role will manage the overall production readiness, including metrics and daily reporting, alignment of production schedule to demand, overall material readiness and coordination between different production stages, through Testing and validation, and manufacturing at scale. In this job, you will - Own the program for scaling the hardware products. Oversee operations, planning, and execution of production. - This role will combine both tactical and strategic planning to ensure lines stability - Report on daily, weekly, and monthly in both cross functional meetings and written update on metrics required to scale the product including triaging issues as they occur - Leverage Zoox knowledge across engineering, supply chain, and manufacturing to ensure line stability and", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:c76e5f992aa2de0750dda79f08783d4b:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.eb04f181b9056de0ea", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "c76e5f992aa2de0750dda79f08783d4b", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Operations Program Manager, Advanced Hardware Manufacturing Fremont, CA The Operations Program Manager (OPM) role at Zoox will develop processes in Manufacturing Operations, and be responsible for complex hardware assemblies, and ensure product performance and scalability to meet the Demand Plan at Zoox. This role sits within the Advanced Hardware Manufacturing Operations Team at Zoox. The role will manage the overall production readiness, including metrics and daily reporting, alignment of production schedule to demand, overall material readiness and coordination between different production stages, through Testing and validation, and manufacturing at scale. The Operations Program Manager (OPM) role at Zoox will develop processes in Manufacturing Operations, and be responsible for complex hardware assemblies, and ensure product performance and scalability to meet the Demand Plan at Zoox. This role sits within the Advanced Hardware Manufacturing Operations Team at Zoox. The role will manage the overall production readiness, including metrics and daily reporting, alignment of production schedule to demand, overall material readiness and coordination between different production stages, through Testing and validation, and manufacturing at scale. In this job, you will - Own the program for scaling the hardware products. Oversee operations, planning, and execution of production. - This role will combine both tactical and strategic planning to ensure lines stability - Report on daily, weekly, and monthly in both cross functional meetings and written update on metrics required to scale the product including triaging issues as they occur - Leverage Zoox knowledge across engineering, supply chain, and manufacturing to ensure line stability and", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:c76e5f992aa2de0750dda79f08783d4b:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.ac057d61010fa73c66", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "c76e5f992aa2de0750dda79f08783d4b", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Operations Program Manager, Advanced Hardware Manufacturing Fremont, CA The Operations Program Manager (OPM) role at Zoox will develop processes in Manufacturing Operations, and be responsible for complex hardware assemblies, and ensure product performance and scalability to meet the Demand Plan at Zoox. This role sits within the Advanced Hardware Manufacturing Operations Team at Zoox. The role will manage the overall production readiness, including metrics and daily reporting, alignment of production schedule to demand, overall material readiness and coordination between different production stages, through Testing and validation, and manufacturing at scale. The Operations Program Manager (OPM) role at Zoox will develop processes in Manufacturing Operations, and be responsible for complex hardware assemblies, and ensure product performance and scalability to meet the Demand Plan at Zoox. This role sits within the Advanced Hardware Manufacturing Operations Team at Zoox. The role will manage the overall production readiness, including metrics and daily reporting, alignment of production schedule to demand, overall material readiness and coordination between different production stages, through Testing and validation, and manufacturing at scale. In this job, you will - Own the program for scaling the hardware products. Oversee operations, planning, and execution of production. - This role will combine both tactical and strategic planning to ensure lines stability - Report on daily, weekly, and monthly in both cross functional meetings and written update on metrics required to scale the product including triaging issues as they occur - Leverage Zoox knowledge across engineering, supply chain, and manufacturing to ensure line stability and", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.d92f56264aa21b8b50", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "c76e5f992aa2de0750dda79f08783d4b", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Operations Program Manager, Advanced Hardware Manufacturing Fremont, CA The Operations Program Manager (OPM) role at Zoox will develop processes in Manufacturing Operations, and be responsible for complex hardware assemblies, and ensure product performance and scalability to meet the Demand Plan at Zoox. This role sits within the Advanced Hardware Manufacturing Operations Team at Zoox. The role will manage the overall production readiness, including metrics and daily reporting, alignment of production schedule to demand, overall material readiness and coordination between different production stages, through Testing and validation, and manufacturing at scale. The Operations Program Manager (OPM) role at Zoox will develop processes in Manufacturing Operations, and be responsible for complex hardware assemblies, and ensure product performance and scalability to meet the Demand Plan at Zoox. This role sits within the Advanced Hardware Manufacturing Operations Team at Zoox. The role will manage the overall production readiness, including metrics and daily reporting, alignment of production schedule to demand, overall material readiness and coordination between different production stages, through Testing and validation, and manufacturing at scale. In this job, you will - Own the program for scaling the hardware products. Oversee operations, planning, and execution of production. - This role will combine both tactical and strategic planning to ensure lines stability - Report on daily, weekly, and monthly in both cross functional meetings and written update on metrics required to scale the product including triaging issues as they occur - Leverage Zoox knowledge across engineering, supply chain, and manufacturing to ensure line stability and", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/zoox/896c8fac-52f9-4db3-a8f6-521041d254be", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/zoox/896c8fac-52f9-4db3-a8f6-521041d254be", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/zoox/896c8fac-52f9-4db3-a8f6-521041d254be", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/zoox/896c8fac-52f9-4db3-a8f6-521041d254be", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "e110e37bacc95d3a5bc2d33c550fc808", "title": "Product Development Manager", "employer_name": "Monster Beverage", "employer_slug": "monster-beverage", "location_text": "USA - Corona, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 76440, "salary_max": 104000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "total_comp", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 76440, "base_salary_max": 104000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-04-13T23:28:41.000Z", "apply_url": "https://job-boards.greenhouse.io/monsterenergy/jobs/4217475009", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Product Development Manager USA - Corona, CA About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: As the Product Development Manager, you will lead projects with flavor houses, suppliers, and production facilities to develop new beverages and raw materials. Manage the review of all formulas created in SAP-Product Lifecycle Management (PLM), ensuring accuracy and readiness for global production. Support complex liquid-development programs, including formulation specifications to ensure successful liquid performance, through projects including analytical testing, stability testing and sensory evaluation across the formula portfolio. Contribute to the product support program by addressing technical issues related to formulas in the field. The impact you'll make: - Lead the Technical Transfer Program based on innovation learnings by review of formula scale up, stability, and stress tests. - Manage the end-to-end review of all formulas within SAP-PLM, ensuring accuracy, completeness, and readiness for worldwide production, while upholding data integrity and alignment with global quality and regulatory standards. - Lead cross-functional high", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/865752/000110465926020831/mnst-20251231x10k.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/865752/000110465926020831/mnst-20251231x10k.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 7, "years_experience_max": 11, "role_function": "product", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.1cc7c8c8e27173fd08", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e110e37bacc95d3a5bc2d33c550fc808", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Product Development Manager USA - Corona, CA About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: As the Product Development Manager, you will lead projects with flavor houses, suppliers, and production facilities to develop new beverages and raw materials. Manage the review of all formulas created in SAP-Product Lifecycle Management (PLM), ensuring accuracy and readiness for global production. Support complex liquid-development programs, including formulation specifications to ensure successful liquid performance, through projects including analytical testing, stability testing and sensory evaluation across the formula portfolio. Contribute to the product support program by addressing technical issues related to formulas in the field. The impact you'll make: - Lead the Technical Transfer Program based on innovation learnings by review of formula scale up, stability, and stress tests. - Manage the end-to-end review of all formulas within SAP-PLM, ensuring accuracy, completeness, and readiness for worldwide production, while upholding data integrity and alignment with global quality and regulatory standards. - Lead cross-functional high", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:e110e37bacc95d3a5bc2d33c550fc808:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.cb541ce4988fa31f7a", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e110e37bacc95d3a5bc2d33c550fc808", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Product Development Manager USA - Corona, CA About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: As the Product Development Manager, you will lead projects with flavor houses, suppliers, and production facilities to develop new beverages and raw materials. Manage the review of all formulas created in SAP-Product Lifecycle Management (PLM), ensuring accuracy and readiness for global production. Support complex liquid-development programs, including formulation specifications to ensure successful liquid performance, through projects including analytical testing, stability testing and sensory evaluation across the formula portfolio. Contribute to the product support program by addressing technical issues related to formulas in the field. The impact you'll make: - Lead the Technical Transfer Program based on innovation learnings by review of formula scale up, stability, and stress tests. - Manage the end-to-end review of all formulas within SAP-PLM, ensuring accuracy, completeness, and readiness for worldwide production, while upholding data integrity and alignment with global quality and regulatory standards. - Lead cross-functional high", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:e110e37bacc95d3a5bc2d33c550fc808:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.863a1a9e681db721bf", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e110e37bacc95d3a5bc2d33c550fc808", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Product Development Manager USA - Corona, CA About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: As the Product Development Manager, you will lead projects with flavor houses, suppliers, and production facilities to develop new beverages and raw materials. Manage the review of all formulas created in SAP-Product Lifecycle Management (PLM), ensuring accuracy and readiness for global production. Support complex liquid-development programs, including formulation specifications to ensure successful liquid performance, through projects including analytical testing, stability testing and sensory evaluation across the formula portfolio. Contribute to the product support program by addressing technical issues related to formulas in the field. The impact you'll make: - Lead the Technical Transfer Program based on innovation learnings by review of formula scale up, stability, and stress tests. - Manage the end-to-end review of all formulas within SAP-PLM, ensuring accuracy, completeness, and readiness for worldwide production, while upholding data integrity and alignment with global quality and regulatory standards. - Lead cross-functional high", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.e25ba86ab5c78ec0f2", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e110e37bacc95d3a5bc2d33c550fc808", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Product Development Manager USA - Corona, CA About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: As the Product Development Manager, you will lead projects with flavor houses, suppliers, and production facilities to develop new beverages and raw materials. Manage the review of all formulas created in SAP-Product Lifecycle Management (PLM), ensuring accuracy and readiness for global production. Support complex liquid-development programs, including formulation specifications to ensure successful liquid performance, through projects including analytical testing, stability testing and sensory evaluation across the formula portfolio. Contribute to the product support program by addressing technical issues related to formulas in the field. The impact you'll make: - Lead the Technical Transfer Program based on innovation learnings by review of formula scale up, stability, and stress tests. - Manage the end-to-end review of all formulas within SAP-PLM, ensuring accuracy, completeness, and readiness for worldwide production, while upholding data integrity and alignment with global quality and regulatory standards. - Lead cross-functional high", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/monsterenergy/jobs/4217475009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/monsterenergy/jobs/4217475009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/monsterenergy/jobs/4217475009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/865752/000110465926020831/mnst-20251231x10k.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/865752/000110465926020831/mnst-20251231x10k.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/monsterenergy/jobs/4217475009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/monsterenergy/jobs/4217475009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "23d5440ad27182647319651e187449cf", "title": "AI Deployment Lead - Financial Services", "employer_name": "BrainCo", "employer_slug": "brainco", "location_text": "Abu Dhabi, United Arab Emirates, Doha", "country": "AE", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-05-21T09:32:03.408Z", "apply_url": "https://jobs.ashbyhq.com/brainco/4bad07b4-ea3e-4cf0-bc4b-ddb4c5bfbeec", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Deployment Lead - Financial Services Abu Dhabi, United Arab Emirates, Doha About Brain Co. Brain Co. is at the leading edge of productionizing artificial intelligence for real world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real world problems across financial services, private equity, governments, and other sectors where manual work is still dominant. About the Role We're growing our AI Deployment team in Abu Dhabi and Doha, with a dedicated focus on financial services and private equity clients. In this role, you'll work at the intersection of AI product delivery and customer engagement, helping define, shape, and drive AI-powered solutions for banks, asset managers, sovereign wealth funds, private equity sponsors, and their portfolio companies. You'll collaborate closely with data scientists, engineers, investment professionals, and senior stakeholders to translate complex financial and commercial needs into actionable technical solutions. As the voice of the customer, you'll lead agile delivery cycles, contribute to value creation across sponsor-backed assets, and foster long-term relationships built on trust and measurable impact. Key Responsibilities - Define & Prioritize Features: Partner with financial services clients and PE sponsors to identify high-impact problems across the investment lifecycle (diligence, portfolio operations, risk, and reporting) and define AI-driven product features to address them. - Translate Business Needs: Convert customer requirements, investment theses, and operational pain points into clear technical specifications and use cases for internal data science and engineering teams. -", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 2, "years_experience_max": 9, "role_function": "customer_success", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "series_a", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.e421edd08a49c4facf", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "23d5440ad27182647319651e187449cf", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "AI Deployment Lead - Financial Services", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.42cf8396aeacd9af90", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "23d5440ad27182647319651e187449cf", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "customer_success", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:23d5440ad27182647319651e187449cf:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/brainco/4bad07b4-ea3e-4cf0-bc4b-ddb4c5bfbeec", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/brainco/4bad07b4-ea3e-4cf0-bc4b-ddb4c5bfbeec", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/brainco/4bad07b4-ea3e-4cf0-bc4b-ddb4c5bfbeec", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/brainco/4bad07b4-ea3e-4cf0-bc4b-ddb4c5bfbeec", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "e422873c57ebee17d6f42e87a472c6a9", "title": "Operations Support Specialist- Stability", "employer_name": "Eurofins Scientific", "employer_slug": "eurofins-scientific", "location_text": "Lancaster, PA, United States", "country": "US", "employment_type": "contract", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "EUR", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.smartrecruiters.com/Eurofins/744000129589739-operations-support-specialist-stability", "apply_url_verified": false, "ats": "smartrecruiters", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Operations Support Specialist- Stability Lancaster, PA, United States Company Description: Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. The Eurofins network of companies is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organization services. It is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organizations. It also has a rapidly developing presence in highly specialized and molecular clinical diagnostic testing and in-vitro diagnostic products. In over 30 years, Eurofins has grown from one laboratory in Nantes, France to 58,000 staff across a decentralized and entrepreneurial network of 900 laboratories in over 54 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products. In 2024, Eurofins generated total revenues of EUR € 6,515 billion, and has been among the best performing stocks in Europe over the past 20 years.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "customer_success", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": 25, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "high_school", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.595e270f895a42aaae", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e422873c57ebee17d6f42e87a472c6a9", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Operations Support Specialist- Stability Lancaster, PA, United States Company Description: Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. The Eurofins network of companies is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organization services. It is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organizations. It also has a rapidly developing presence in highly specialized and molecular clinical diagnostic testing and in-vitro diagnostic products. In over 30 years, Eurofins has grown from one laboratory in Nantes, France to 58,000 staff across a decentralized and entrepreneurial network of 900 laboratories in over 54 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products. In 2024, Eurofins generated total revenues of EUR € 6,515 billion, and has been among the best performing stocks in Europe over the past 20 years.", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:e422873c57ebee17d6f42e87a472c6a9:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.b8784ddf24aa6070b9", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e422873c57ebee17d6f42e87a472c6a9", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Operations Support Specialist- Stability Lancaster, PA, United States Company Description: Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. The Eurofins network of companies is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organization services. It is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organizations. It also has a rapidly developing presence in highly specialized and molecular clinical diagnostic testing and in-vitro diagnostic products. In over 30 years, Eurofins has grown from one laboratory in Nantes, France to 58,000 staff across a decentralized and entrepreneurial network of 900 laboratories in over 54 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products. In 2024, Eurofins generated total revenues of EUR € 6,515 billion, and has been among the best performing stocks in Europe over the past 20 years.", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:e422873c57ebee17d6f42e87a472c6a9:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.cdec6f4fc0ca76fd93", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e422873c57ebee17d6f42e87a472c6a9", "signal_type": "query_match", "display_text": "Title: \"stability\"", "tooltip": "Title matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Operations Support Specialist- Stability", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:e422873c57ebee17d6f42e87a472c6a9:title:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.608cbab522db9e9817", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e422873c57ebee17d6f42e87a472c6a9", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Operations Support Specialist- Stability Lancaster, PA, United States Company Description: Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. The Eurofins network of companies is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organization services. It is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organizations. It also has a rapidly developing presence in highly specialized and molecular clinical diagnostic testing and in-vitro diagnostic products. In over 30 years, Eurofins has grown from one laboratory in Nantes, France to 58,000 staff across a decentralized and entrepreneurial network of 900 laboratories in over 54 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products. In 2024, Eurofins generated total revenues of EUR € 6,515 billion, and has been among the best performing stocks in Europe over the past 20 years.", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.36bcb29ef355d45155", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e422873c57ebee17d6f42e87a472c6a9", "signal_type": "query_match", "display_text": "Title: \"stability\"", "tooltip": "Title contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Operations Support Specialist- Stability", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Eurofins/744000129589739-operations-support-specialist-stability", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Eurofins/744000129589739-operations-support-specialist-stability", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Eurofins/744000129589739-operations-support-specialist-stability", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "0236106f46018677fcd54bd5c6fbf947", "title": "Secure AI Consultant", "employer_name": "Concentrix", "employer_slug": "concentrix", "location_text": "MEX Work-at-Home", "country": "MX", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://cnx.wd1.myworkdayjobs.com/external_global/job/MEX-Work-at-Home/Secure-AI-Consultant_R1691702", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Secure AI Consultant MEX Work-at-Home posted: Posted 30+ Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1803599/000180359926000027/cnxc-20251130.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1803599/000180359926000027/cnxc-20251130.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.76720a1c2e1aeee945", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "0236106f46018677fcd54bd5c6fbf947", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Secure AI Consultant", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.0c233c0d749df793a0", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "0236106f46018677fcd54bd5c6fbf947", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:0236106f46018677fcd54bd5c6fbf947:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1803599/000180359926000027/cnxc-20251130.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1803599/000180359926000027/cnxc-20251130.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cnx.wd1.myworkdayjobs.com/external_global/job/MEX-Work-at-Home/Secure-AI-Consultant_R1691702", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cnx.wd1.myworkdayjobs.com/external_global/job/MEX-Work-at-Home/Secure-AI-Consultant_R1691702", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "66fcf2561b918e6f664755ed0aa875e8", "title": "Senior Software Engineer - AI/ML, AWS Neuron Inference", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Seattle, Washington, USA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 168100, "salary_max": 227400, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 168100, "base_salary_max": 227400, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": true, "fertility_family_building_benefits": true, "adoption_assistance_offered": true, "surrogacy_assistance_offered": true, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-18T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10422684/senior-software-engineer-ai-ml-aws-neuron-inference", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Software Engineer - AI/ML, AWS Neuron Inference Seattle, Washington, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators. This role is for a senior software engineer in the Machine Learning Inference Applications team. This role is responsible for development and performance optimization of core building blocks of LLM Inference - Attention, MLP, Quantization, Speculative Decoding, Mixture of Experts, etc. The team works side by side with chip architects, compiler engineers and runtime engineers to deliver performance and accuracy on Neuron devices across a range of models. Key job responsibilities Responsibilities of this role include adapting latest research in LLM optimization to Neuron chips to extract best performance from both open source as well as internally developed models. Working across teams and organizations is key. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Basic Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - 5+ years of programming using a", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 56, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "db_column": "parental_leave_weeks", "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" }, "surrogacy_assistance_offered": { "field": "surrogacy_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "surrogacy_assistance_offered" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.7ffde3b8504378ff3a", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "66fcf2561b918e6f664755ed0aa875e8", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Senior Software Engineer - AI/ML, AWS Neuron Inference", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.9b68f5fba90e26d4fa", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "66fcf2561b918e6f664755ed0aa875e8", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:66fcf2561b918e6f664755ed0aa875e8:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10422684/senior-software-engineer-ai-ml-aws-neuron-inference", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10422684/senior-software-engineer-ai-ml-aws-neuron-inference", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10422684/senior-software-engineer-ai-ml-aws-neuron-inference", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10422684/senior-software-engineer-ai-ml-aws-neuron-inference", "source_values": [ "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10422684/senior-software-engineer-ai-ml-aws-neuron-inference", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10422684/senior-software-engineer-ai-ml-aws-neuron-inference", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10422684/senior-software-engineer-ai-ml-aws-neuron-inference", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10422684/senior-software-engineer-ai-ml-aws-neuron-inference", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10422684/senior-software-engineer-ai-ml-aws-neuron-inference", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "adoption_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10422684/senior-software-engineer-ai-ml-aws-neuron-inference", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "childcare_subsidy": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10422684/senior-software-engineer-ai-ml-aws-neuron-inference", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "surrogacy_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10422684/senior-software-engineer-ai-ml-aws-neuron-inference", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "e5259aa8907769157bc0f1ddad98b1fe", "title": "Statistician/Senior Statistician", "employer_name": "Other Agencies and Independent Organizations", "employer_slug": "other-agencies-and-independent-organizations", "location_text": "Washington, District of Columbia", "country": "US", "employment_type": "part_time", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 111677, "salary_max": 215054, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 111677, "base_salary_max": 215054, "salary_disclosed": true, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-08T10:49:46.000Z", "apply_url": "https://www.usajobs.gov:443/job/872102800", "apply_url_verified": false, "ats": "usajobs", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Statistician/Senior Statistician Washington, District of Columbia Summary This position is for a Statistician/Senior Statistician in the Division of Housing Mission and Goals (DHMG) at the Federal Housing Finance Agency (FHFA). In this role, the incumbent will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. Duties Division of Housing Mission and Goals The Division of Housing Mission and Goals (DHMG) is responsible for FHFA policy development and analysis, oversight of the Enterprises' single-family and multifamily housing policy, oversight of the mission and goals of the Enterprises, and the housing finance and community investment mission of the Federal Home Loan Banks (FHLBs and capital policy for the Enterprises. In support of FHFA's mission and the Director's responsibilities as a member of the Federal Housing Finance Oversight Board, the Financial Stability Oversight Board, and the Financial Stability Oversight Council, the division also oversees and coordinates FHFA activities. Such activities involve data analyses, market surveillance, systemic risk monitoring, and analysis affecting housing finance and financial markets. Position Overview The Statistician/Senior Statistician will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. This role will demonstrate skills in research, analysis, assessment, programming, and data analytics with formal training in economics,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [ "DC" ], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "hire_states_allowed": { "field": "hire_states_allowed", "source": "rule:state_eligibility", "db_column": "hire_states_allowed" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Government", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.929e50656870137371", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e5259aa8907769157bc0f1ddad98b1fe", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Statistician/Senior Statistician Washington, District of Columbia Summary This position is for a Statistician/Senior Statistician in the Division of Housing Mission and Goals (DHMG) at the Federal Housing Finance Agency (FHFA). In this role, the incumbent will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. Duties Division of Housing Mission and Goals The Division of Housing Mission and Goals (DHMG) is responsible for FHFA policy development and analysis, oversight of the Enterprises' single-family and multifamily housing policy, oversight of the mission and goals of the Enterprises, and the housing finance and community investment mission of the Federal Home Loan Banks (FHLBs and capital policy for the Enterprises. In support of FHFA's mission and the Director's responsibilities as a member of the Federal Housing Finance Oversight Board, the Financial Stability Oversight Board, and the Financial Stability Oversight Council, the division also oversees and coordinates FHFA activities. Such activities involve data analyses, market surveillance, systemic risk monitoring, and analysis affecting housing finance and financial markets. Position Overview The Statistician/Senior Statistician will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. This role will demonstrate skills in research, analysis, assessment, programming, and data analytics with formal training in economics,", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:e5259aa8907769157bc0f1ddad98b1fe:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.bef27c85bf20097549", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e5259aa8907769157bc0f1ddad98b1fe", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Statistician/Senior Statistician Washington, District of Columbia Summary This position is for a Statistician/Senior Statistician in the Division of Housing Mission and Goals (DHMG) at the Federal Housing Finance Agency (FHFA). In this role, the incumbent will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. Duties Division of Housing Mission and Goals The Division of Housing Mission and Goals (DHMG) is responsible for FHFA policy development and analysis, oversight of the Enterprises' single-family and multifamily housing policy, oversight of the mission and goals of the Enterprises, and the housing finance and community investment mission of the Federal Home Loan Banks (FHLBs and capital policy for the Enterprises. In support of FHFA's mission and the Director's responsibilities as a member of the Federal Housing Finance Oversight Board, the Financial Stability Oversight Board, and the Financial Stability Oversight Council, the division also oversees and coordinates FHFA activities. Such activities involve data analyses, market surveillance, systemic risk monitoring, and analysis affecting housing finance and financial markets. Position Overview The Statistician/Senior Statistician will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. This role will demonstrate skills in research, analysis, assessment, programming, and data analytics with formal training in economics,", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:e5259aa8907769157bc0f1ddad98b1fe:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.01aca87cde7bab6997", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e5259aa8907769157bc0f1ddad98b1fe", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Statistician/Senior Statistician Washington, District of Columbia Summary This position is for a Statistician/Senior Statistician in the Division of Housing Mission and Goals (DHMG) at the Federal Housing Finance Agency (FHFA). In this role, the incumbent will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. Duties Division of Housing Mission and Goals The Division of Housing Mission and Goals (DHMG) is responsible for FHFA policy development and analysis, oversight of the Enterprises' single-family and multifamily housing policy, oversight of the mission and goals of the Enterprises, and the housing finance and community investment mission of the Federal Home Loan Banks (FHLBs and capital policy for the Enterprises. In support of FHFA's mission and the Director's responsibilities as a member of the Federal Housing Finance Oversight Board, the Financial Stability Oversight Board, and the Financial Stability Oversight Council, the division also oversees and coordinates FHFA activities. Such activities involve data analyses, market surveillance, systemic risk monitoring, and analysis affecting housing finance and financial markets. Position Overview The Statistician/Senior Statistician will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. This role will demonstrate skills in research, analysis, assessment, programming, and data analytics with formal training in economics,", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.6a520c0587d5a1c44b", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e5259aa8907769157bc0f1ddad98b1fe", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Statistician/Senior Statistician Washington, District of Columbia Summary This position is for a Statistician/Senior Statistician in the Division of Housing Mission and Goals (DHMG) at the Federal Housing Finance Agency (FHFA). In this role, the incumbent will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. Duties Division of Housing Mission and Goals The Division of Housing Mission and Goals (DHMG) is responsible for FHFA policy development and analysis, oversight of the Enterprises' single-family and multifamily housing policy, oversight of the mission and goals of the Enterprises, and the housing finance and community investment mission of the Federal Home Loan Banks (FHLBs and capital policy for the Enterprises. In support of FHFA's mission and the Director's responsibilities as a member of the Federal Housing Finance Oversight Board, the Financial Stability Oversight Board, and the Financial Stability Oversight Council, the division also oversees and coordinates FHFA activities. Such activities involve data analyses, market surveillance, systemic risk monitoring, and analysis affecting housing finance and financial markets. Position Overview The Statistician/Senior Statistician will apply their expertise and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis; and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics. This role will demonstrate skills in research, analysis, assessment, programming, and data analytics with formal training in economics,", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872102800", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872102800", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872102800", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "hire_states_allowed": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872102800", "source_values": [ "rule:state_eligibility" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872102800", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872102800", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "e5d11a46f2232be0cc159dfe860122cb", "title": "Assistant Manager(08796) - Competitive Benefits - 309 W. FM 517", "employer_name": "Domino's", "employer_slug": "domino-s", "location_text": "Dickinson, TX, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T17:37:43.000Z", "apply_url": "https://jobs.smartrecruiters.com/Dominos/744000131772391-assistant-manager-08796-competitive-benefits-309-w-fm-517", "apply_url_verified": false, "ats": "smartrecruiters", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Assistant Manager(08796) - Competitive Benefits - 309 W. FM 517 Dickinson, TX, United States Company Description: Job Description: Job Description Assistant Managers are responsible for cost controls, inventory control, cash control, and customer relations while they are working a shift. What we offer: • A safe, rewarding, and fast paced working environment • Competitive hourly rate and benefits package • Training with an industry leading brand • Excellent career opportunities • Awesome discounts on menu items! What we're looking for in our Assistant Managers: • Prior leadership experience preferred • Assist with basic operations procedures • Experience in employee development • Ability to demonstrate team member and food safety protocols • Excellent customer service skills • Ability to operate and troubleshoot technology Qualifications Minimum Job Requirements (see the Job Description for full details): • Must be at least 18 years of age Additional information Domino's Team USA stores value honesty, transparency, and accountability, and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for our team members. Qualifications: Additional Information: Domino's Team USA stores value honesty, transparency, and accountability, and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for our team members.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1286681/000119312526062321/dpz-20251228.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1286681/000119312526062321/dpz-20251228.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "operations", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Retail", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.019139bcac527e3f5b", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e5d11a46f2232be0cc159dfe860122cb", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Assistant Manager(08796) - Competitive Benefits - 309 W. FM 517 Dickinson, TX, United States Company Description: Job Description: Job Description Assistant Managers are responsible for cost controls, inventory control, cash control, and customer relations while they are working a shift. What we offer: • A safe, rewarding, and fast paced working environment • Competitive hourly rate and benefits package • Training with an industry leading brand • Excellent career opportunities • Awesome discounts on menu items! What we're looking for in our Assistant Managers: • Prior leadership experience preferred • Assist with basic operations procedures • Experience in employee development • Ability to demonstrate team member and food safety protocols • Excellent customer service skills • Ability to operate and troubleshoot technology Qualifications Minimum Job Requirements (see the Job Description for full details): • Must be at least 18 years of age Additional information Domino's Team USA stores value honesty, transparency, and accountability, and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for our team members. Qualifications: Additional Information: Domino's Team USA stores value honesty, transparency, and accountability, and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for our team members.", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:e5d11a46f2232be0cc159dfe860122cb:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.2ac509f869e16c9159", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e5d11a46f2232be0cc159dfe860122cb", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Assistant Manager(08796) - Competitive Benefits - 309 W. FM 517 Dickinson, TX, United States Company Description: Job Description: Job Description Assistant Managers are responsible for cost controls, inventory control, cash control, and customer relations while they are working a shift. What we offer: • A safe, rewarding, and fast paced working environment • Competitive hourly rate and benefits package • Training with an industry leading brand • Excellent career opportunities • Awesome discounts on menu items! What we're looking for in our Assistant Managers: • Prior leadership experience preferred • Assist with basic operations procedures • Experience in employee development • Ability to demonstrate team member and food safety protocols • Excellent customer service skills • Ability to operate and troubleshoot technology Qualifications Minimum Job Requirements (see the Job Description for full details): • Must be at least 18 years of age Additional information Domino's Team USA stores value honesty, transparency, and accountability, and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for our team members. Qualifications: Additional Information: Domino's Team USA stores value honesty, transparency, and accountability, and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for our team members.", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:e5d11a46f2232be0cc159dfe860122cb:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.a03b3faa0b48d5a6e1", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e5d11a46f2232be0cc159dfe860122cb", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Assistant Manager(08796) - Competitive Benefits - 309 W. FM 517 Dickinson, TX, United States Company Description: Job Description: Job Description Assistant Managers are responsible for cost controls, inventory control, cash control, and customer relations while they are working a shift. What we offer: • A safe, rewarding, and fast paced working environment • Competitive hourly rate and benefits package • Training with an industry leading brand • Excellent career opportunities • Awesome discounts on menu items! What we're looking for in our Assistant Managers: • Prior leadership experience preferred • Assist with basic operations procedures • Experience in employee development • Ability to demonstrate team member and food safety protocols • Excellent customer service skills • Ability to operate and troubleshoot technology Qualifications Minimum Job Requirements (see the Job Description for full details): • Must be at least 18 years of age Additional information Domino's Team USA stores value honesty, transparency, and accountability, and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for our team members. Qualifications: Additional Information: Domino's Team USA stores value honesty, transparency, and accountability, and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for our team members.", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.a947a8bd944ba0109a", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e5d11a46f2232be0cc159dfe860122cb", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Assistant Manager(08796) - Competitive Benefits - 309 W. FM 517 Dickinson, TX, United States Company Description: Job Description: Job Description Assistant Managers are responsible for cost controls, inventory control, cash control, and customer relations while they are working a shift. What we offer: • A safe, rewarding, and fast paced working environment • Competitive hourly rate and benefits package • Training with an industry leading brand • Excellent career opportunities • Awesome discounts on menu items! What we're looking for in our Assistant Managers: • Prior leadership experience preferred • Assist with basic operations procedures • Experience in employee development • Ability to demonstrate team member and food safety protocols • Excellent customer service skills • Ability to operate and troubleshoot technology Qualifications Minimum Job Requirements (see the Job Description for full details): • Must be at least 18 years of age Additional information Domino's Team USA stores value honesty, transparency, and accountability, and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for our team members. Qualifications: Additional Information: Domino's Team USA stores value honesty, transparency, and accountability, and we want exceptional people like you to join our team! We have continued to prove we “Put our People First” by making sure our work environment is safe and provides stability for our team members.", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1286681/000119312526062321/dpz-20251228.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1286681/000119312526062321/dpz-20251228.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Dominos/744000131772391-assistant-manager-08796-competitive-benefits-309-w-fm-517", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Dominos/744000131772391-assistant-manager-08796-competitive-benefits-309-w-fm-517", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "59a81583ba99c49c56beeebc0899944e", "title": "Machine Learning Engineer, AV Engineering", "employer_name": "Wayve", "employer_slug": "wayve", "location_text": "Israel", "country": "IL", "employment_type": "full_time", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-17T15:38:38.000Z", "apply_url": "https://wayve.firststage.co/jobs?gh_jid=8463919002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Machine Learning Engineer, AV Engineering Israel About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role We are hiring Senior and Staff ML Engineers that sit within Safety Systems / autonomy organisations, building critical behaviours for Level 2 to level 4 driving. It is highly product-focused: you will train and iterate on end-to-end driving models and get them shipped into the car on a fast timeline measured in months. The opportunity is to own the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries (including the Nissan MVP). You will join a small, high-ownership teams at the point of rapid growth, where execution and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "contractor_type": { "field": "contractor_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "contractor_type" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.5072c007322ac661c6", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "59a81583ba99c49c56beeebc0899944e", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Machine Learning Engineer, AV Engineering Israel About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role We are hiring Senior and Staff ML Engineers that sit within Safety Systems / autonomy organisations, building critical behaviours for Level 2 to level 4 driving. It is highly product-focused: you will train and iterate on end-to-end driving models and get them shipped into the car on a fast timeline measured in months. The opportunity is to own the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries (including the Nissan MVP). You will join a small, high-ownership teams at the point of rapid growth, where execution and", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.f31f3f4e6c8a3486ba", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "59a81583ba99c49c56beeebc0899944e", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:59a81583ba99c49c56beeebc0899944e:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://wayve.firststage.co/jobs?gh_jid=8463919002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://wayve.firststage.co/jobs?gh_jid=8463919002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "a5b97c753b7907bf73f0ad2a96c84c63", "title": "AI Staff Scientist", "employer_name": "3M", "employer_slug": "3m", "location_text": "2 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://3m.wd1.myworkdayjobs.com/Search/job/Remote---Minnesota/AI-Staff-Scientist_R01164843", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Staff Scientist 2 Locations posted: Posted 30+ Days Ago", "parental_leave_weeks": 10, "non_birth_parent_leave_weeks": 10, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 85, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/66740/000006674026000014/mmm-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/66740/000006674026000014/mmm-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/", "db_column": "parental_leave_weeks", "source_url": "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.d7953d6ab7869a0d2e", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "a5b97c753b7907bf73f0ad2a96c84c63", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "AI Staff Scientist", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.c61a575ce5620ef63a", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "a5b97c753b7907bf73f0ad2a96c84c63", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:a5b97c753b7907bf73f0ad2a96c84c63:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/66740/000006674026000014/mmm-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/66740/000006674026000014/mmm-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://3m.wd1.myworkdayjobs.com/Search/job/Remote---Minnesota/AI-Staff-Scientist_R01164843", "source_values": [ "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://3m.wd1.myworkdayjobs.com/Search/job/Remote---Minnesota/AI-Staff-Scientist_R01164843", "source_values": [ "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://3m.wd1.myworkdayjobs.com/Search/job/Remote---Minnesota/AI-Staff-Scientist_R01164843", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://3m.wd1.myworkdayjobs.com/Search/job/Remote---Minnesota/AI-Staff-Scientist_R01164843", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "1f416041ad7c070858c57f352abb1d62", "title": "DCP-Liquid Cooling System Architect (Global)-Shenzhen", "employer_name": "Vertiv", "employer_slug": "vertiv", "location_text": "China", "country": "CN", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-11T00:00:00.000Z", "apply_url": "https://egup.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/requisitions/job/20274680", "apply_url_verified": false, "ats": "oracle_recruiting_cloud", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "DCP-Liquid Cooling System Architect (Global)-Shenzhen China Responsible for the overall design of the liquid cooling platform, including the structural design of CDUs, cold plates, manifolds, and racks;​ Conduct simulation analysis and optimization of liquid cooling systems to enhance system efficiency and stability;​ Oversee testing processes for liquid cooling products to ensure compliance with technical specifications and industry standards;​ Collaborate with the team on the integration and commissioning of liquid cooling systems across various application scenarios;", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1674101/000167410126000008/vrt-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1674101/000167410126000008/vrt-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.c5362b9d616f784f25", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "1f416041ad7c070858c57f352abb1d62", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "DCP-Liquid Cooling System Architect (Global)-Shenzhen China Responsible for the overall design of the liquid cooling platform, including the structural design of CDUs, cold plates, manifolds, and racks;​ Conduct simulation analysis and optimization of liquid cooling systems to enhance system efficiency and stability;​ Oversee testing processes for liquid cooling products to ensure compliance with technical specifications and industry standards;​ Collaborate with the team on the integration and commissioning of liquid cooling systems across various application scenarios;", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:1f416041ad7c070858c57f352abb1d62:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.296fef1af104e6f8d4", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "1f416041ad7c070858c57f352abb1d62", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "DCP-Liquid Cooling System Architect (Global)-Shenzhen China Responsible for the overall design of the liquid cooling platform, including the structural design of CDUs, cold plates, manifolds, and racks;​ Conduct simulation analysis and optimization of liquid cooling systems to enhance system efficiency and stability;​ Oversee testing processes for liquid cooling products to ensure compliance with technical specifications and industry standards;​ Collaborate with the team on the integration and commissioning of liquid cooling systems across various application scenarios;", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1674101/000167410126000008/vrt-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1674101/000167410126000008/vrt-20251231.htm" ], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://egup.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/requisitions/job/20274680", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://egup.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/requisitions/job/20274680", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "1fba628d30b8fa025602a1f3b1027bad", "title": "Senior Manager - SRE - RunOps - PBM-IT", "employer_name": "CVS Health Corporation", "employer_slug": "cvs-health", "location_text": "Work at Home, Illinois, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-19T00:00:00.000Z", "apply_url": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/Work-At-Home-Illinois/Senior-Manager---RunOps---PBM-IT_R0906780-1/apply", "apply_url_verified": false, "ats": "custom_structured", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Manager - SRE - RunOps - PBM-IT Work at Home, Illinois, United States Join our team as a Senior Manager - SRE - RunOps - PBM-IT and lead enterprise-scale reliability and automation initiatives. Drive SRE strategy, incident management, and platform stability for mission-critical applications. Mentor global teams, champion ITIL best practices, and shape the future of healthcare technology at CVS Health. Make a real impact in a dynamic, innovative environment.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": 4, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Healthcare", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.b04c898937f8010f73", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "1fba628d30b8fa025602a1f3b1027bad", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Manager - SRE - RunOps - PBM-IT Work at Home, Illinois, United States Join our team as a Senior Manager - SRE - RunOps - PBM-IT and lead enterprise-scale reliability and automation initiatives. Drive SRE strategy, incident management, and platform stability for mission-critical applications. Mentor global teams, champion ITIL best practices, and shape the future of healthcare technology at CVS Health. Make a real impact in a dynamic, innovative environment.", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:1fba628d30b8fa025602a1f3b1027bad:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.68103931dcf2dc53a7", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "1fba628d30b8fa025602a1f3b1027bad", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Manager - SRE - RunOps - PBM-IT Work at Home, Illinois, United States Join our team as a Senior Manager - SRE - RunOps - PBM-IT and lead enterprise-scale reliability and automation initiatives. Drive SRE strategy, incident management, and platform stability for mission-critical applications. Mentor global teams, champion ITIL best practices, and shape the future of healthcare technology at CVS Health. Make a real impact in a dynamic, innovative environment.", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/Work-At-Home-Illinois/Senior-Manager---RunOps---PBM-IT_R0906780-1/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/Work-At-Home-Illinois/Senior-Manager---RunOps---PBM-IT_R0906780-1/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/Work-At-Home-Illinois/Senior-Manager---RunOps---PBM-IT_R0906780-1/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/Work-At-Home-Illinois/Senior-Manager---RunOps---PBM-IT_R0906780-1/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "fa00acbbe929bd7520b6c999aa778d45", "title": "Senior Data AI Engineer", "employer_name": "CNA Financial Corporation", "employer_slug": "cna-financial", "location_text": "Chicago, IL, USA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-09T00:00:00.000Z", "apply_url": "https://cna.wd1.myworkdayjobs.com/CNA_Careers/job/Chicago-IL-USA/Senior-Data-AI-Engineer_R-7615", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Data AI Engineer Chicago, IL, USA posted: Posted 3 Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/21175/000002117526000011/cna-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/21175/000002117526000011/cna-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.c0336b3280437082dd", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "fa00acbbe929bd7520b6c999aa778d45", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Senior Data AI Engineer", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.3e401ec4c6df3dca66", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "fa00acbbe929bd7520b6c999aa778d45", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:fa00acbbe929bd7520b6c999aa778d45:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/21175/000002117526000011/cna-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/21175/000002117526000011/cna-20251231.htm" ], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cna.wd1.myworkdayjobs.com/CNA_Careers/job/Chicago-IL-USA/Senior-Data-AI-Engineer_R-7615", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cna.wd1.myworkdayjobs.com/CNA_Careers/job/Chicago-IL-USA/Senior-Data-AI-Engineer_R-7615", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "d1e0d8894cf83572b970bff95a218ade", "title": "Algorithm and Applied AI Scientist (DSP)", "employer_name": "Augury", "employer_slug": "augury", "location_text": "Haifa", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://www.augury.com/careers/8563603002?gh_jid=8563603002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Algorithm and Applied AI Scientist (DSP) Haifa Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world's manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together. As an Algorithm and Applied AI Scientist (DSP), you will serve as the technical lead for an innovative project focused on advanced signal processing and data analytics applications. You will work with unique datasets from various signal-generating sources, researching and developing novel models, and analysing, maturing, and extracting features that have a significant impact on industrial manufacturers globally. In this role, you will be instrumental in defining project objectives, identifying customer value, and pushing the team toward successful outcomes. Joining Augury's AI team offers ongoing professional growth in leadership, algorithm development, research, innovations, and technical data analysis. A Day In Your Life Be the technical lead of an innovative project. Develop a comprehensive understanding of industrial data by exploring its physical properties and the relationships among different data streams. Oversee the full algorithm development cycle, spanning from initial problem definition to the deployment of production-ready feature-based AI models, SDLC", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "field": "equity_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_type" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 4, "years_experience_max": 8, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.677aa60cd2aac4da12", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "d1e0d8894cf83572b970bff95a218ade", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Algorithm and Applied AI Scientist (DSP)", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.9a4e0cb026e63105f7", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "d1e0d8894cf83572b970bff95a218ade", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:d1e0d8894cf83572b970bff95a218ade:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.augury.com/careers/8563603002?gh_jid=8563603002", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.augury.com/careers/8563603002?gh_jid=8563603002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.augury.com/careers/8563603002?gh_jid=8563603002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "32a24d3a6b8b4ff05dece3977b35aa5a", "title": "Weekend Rehabilitation Specialist", "employer_name": "Sheppard Pratt", "employer_slug": "sheppard-pratt", "location_text": "RRP Eutaw St", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-04-21T19:59:22.155Z", "apply_url": "https://recruiting.ultipro.com/SHE1011SPHS/JobBoard/62d52737-46c1-4699-83e3-3a1747e3b981/OpportunityDetail?opportunityId=50d9de7d-5776-4710-949a-0c424fd106f2", "apply_url_verified": false, "ats": "ukg_pro", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Weekend Rehabilitation Specialist RRP Eutaw St Shift: Saturday and Sunday 3pm to 11pm Crisis Residential Program services provide short-term intensive, round-the-clock, personalized support to help stabilize someone having a mental health crisis so they can avoid hospitalization. Our teams collaborate with providers who are already involved in an individual's treatment and works to link clients to other services offered by Sheppard Pratt or other community providers. This direct care position will provide a safe and therapeutic environment that encourages the overall independence and wellbeing of your clients.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "weekend_work": { "field": "weekend_work", "source": "llm:greenfield:inv_371_postfix", "db_column": "weekend_work" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "healthcare", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://recruiting.ultipro.com/SHE1011SPHS/JobBoard/62d52737-46c1-4699-83e3-3a1747e3b981/OpportunityDetail?opportunityId=50d9de7d-5776-4710-949a-0c424fd106f2", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://recruiting.ultipro.com/SHE1011SPHS/JobBoard/62d52737-46c1-4699-83e3-3a1747e3b981/OpportunityDetail?opportunityId=50d9de7d-5776-4710-949a-0c424fd106f2", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://recruiting.ultipro.com/SHE1011SPHS/JobBoard/62d52737-46c1-4699-83e3-3a1747e3b981/OpportunityDetail?opportunityId=50d9de7d-5776-4710-949a-0c424fd106f2", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "07a7632380998b4b9278039ffc8ec9bf", "title": "Agentic AI Developer", "employer_name": "Leidos", "employer_slug": "leidos", "location_text": "2 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-22T00:00:00.000Z", "apply_url": "https://leidos.wd5.myworkdayjobs.com/External/job/Chantilly-VA/Agentic-AI-Developer_R-00183818", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Agentic AI Developer 2 Locations posted: Posted 21 Days Ago", "parental_leave_weeks": 4, "non_birth_parent_leave_weeks": 4, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.leidos.com/careers/pay-benefits", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 73, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.leidos.com/careers/pay-benefits", "db_column": "parental_leave_weeks", "source_url": "https://www.leidos.com/careers/pay-benefits" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.leidos.com/careers/pay-benefits", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.leidos.com/careers/pay-benefits" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Defense", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.3b11402cfd5dbc852b", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "07a7632380998b4b9278039ffc8ec9bf", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Agentic AI Developer", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.f9fdeb6f8f9ca47488", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "07a7632380998b4b9278039ffc8ec9bf", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:07a7632380998b4b9278039ffc8ec9bf:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://leidos.wd5.myworkdayjobs.com/External/job/Chantilly-VA/Agentic-AI-Developer_R-00183818", "source_values": [ "https://www.leidos.com/careers/pay-benefits" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://leidos.wd5.myworkdayjobs.com/External/job/Chantilly-VA/Agentic-AI-Developer_R-00183818", "source_values": [ "https://www.leidos.com/careers/pay-benefits" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://leidos.wd5.myworkdayjobs.com/External/job/Chantilly-VA/Agentic-AI-Developer_R-00183818", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://leidos.wd5.myworkdayjobs.com/External/job/Chantilly-VA/Agentic-AI-Developer_R-00183818", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "5854b078cdcda4ef1383f1ab0ec034a8", "title": "Manufacturing Equipment Maintenance Technician - (12hr Night Shift)", "employer_name": "Thermo Fisher Scientific", "employer_slug": "thermo-fisher-scientific", "location_text": "Charlotte, North Carolina, United States of America", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-13T00:00:00.000Z", "apply_url": "https://thermofisher.wd5.myworkdayjobs.com/ThermoFisherCareers/job/Charlotte-North-Carolina-USA/Manufacturing-Equipment-Maintenance-Technician----12hr-Night-Shift-_R-01348471/apply", "apply_url_verified": false, "ats": "phenom_people", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Manufacturing Equipment Maintenance Technician - (12hr Night Shift) Charlotte, North Carolina, United States of America Embrace the role of a Manufacturing Equipment Maintenance Technician on 12-hour night shifts! Troubleshoot, repair, and maintain industrial equipment in a fast-paced environment. Apply your electrical and mechanical expertise, ensure GMP compliance, and collaborate with engineering teams to drive reliability and process stability. Grow your career with Thermo Fisher Scientific.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "shift_type": { "field": "shift_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "shift_type" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/97745/000009774526000018/tmo-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/97745/000009774526000018/tmo-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "trades", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": true, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.402fa513a4997eded7", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5854b078cdcda4ef1383f1ab0ec034a8", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Manufacturing Equipment Maintenance Technician - (12hr Night Shift) Charlotte, North Carolina, United States of America Embrace the role of a Manufacturing Equipment Maintenance Technician on 12-hour night shifts! Troubleshoot, repair, and maintain industrial equipment in a fast-paced environment. Apply your electrical and mechanical expertise, ensure GMP compliance, and collaborate with engineering teams to drive reliability and process stability. Grow your career with Thermo Fisher Scientific.", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:5854b078cdcda4ef1383f1ab0ec034a8:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.8d2d48ec51ea4b8262", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5854b078cdcda4ef1383f1ab0ec034a8", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Manufacturing Equipment Maintenance Technician - (12hr Night Shift) Charlotte, North Carolina, United States of America Embrace the role of a Manufacturing Equipment Maintenance Technician on 12-hour night shifts! Troubleshoot, repair, and maintain industrial equipment in a fast-paced environment. Apply your electrical and mechanical expertise, ensure GMP compliance, and collaborate with engineering teams to drive reliability and process stability. Grow your career with Thermo Fisher Scientific.", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:5854b078cdcda4ef1383f1ab0ec034a8:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.8af35fb25be9fb2d00", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5854b078cdcda4ef1383f1ab0ec034a8", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Manufacturing Equipment Maintenance Technician - (12hr Night Shift)", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:5854b078cdcda4ef1383f1ab0ec034a8:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.c5903046d19edee5bd", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5854b078cdcda4ef1383f1ab0ec034a8", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Manufacturing Equipment Maintenance Technician - (12hr Night Shift) Charlotte, North Carolina, United States of America Embrace the role of a Manufacturing Equipment Maintenance Technician on 12-hour night shifts! Troubleshoot, repair, and maintain industrial equipment in a fast-paced environment. Apply your electrical and mechanical expertise, ensure GMP compliance, and collaborate with engineering teams to drive reliability and process stability. Grow your career with Thermo Fisher Scientific.", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.4ca2bc440272ace1ba", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "5854b078cdcda4ef1383f1ab0ec034a8", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Manufacturing Equipment Maintenance Technician - (12hr Night Shift)", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/97745/000009774526000018/tmo-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/97745/000009774526000018/tmo-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://thermofisher.wd5.myworkdayjobs.com/ThermoFisherCareers/job/Charlotte-North-Carolina-USA/Manufacturing-Equipment-Maintenance-Technician----12hr-Night-Shift-_R-01348471/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://thermofisher.wd5.myworkdayjobs.com/ThermoFisherCareers/job/Charlotte-North-Carolina-USA/Manufacturing-Equipment-Maintenance-Technician----12hr-Night-Shift-_R-01348471/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://thermofisher.wd5.myworkdayjobs.com/ThermoFisherCareers/job/Charlotte-North-Carolina-USA/Manufacturing-Equipment-Maintenance-Technician----12hr-Night-Shift-_R-01348471/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "823f6689350f4102986572ed3218d630", "title": "Floor Tech - Night Shift", "employer_name": "Hobby Lobby Stores, Inc.", "employer_slug": "hobby-lobby-stores", "location_text": "Location not specified", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": 20.9, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "hour", "base_salary_min": 20.9, "base_salary_max": null, "salary_disclosed": true, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25879&siteid=5295&PageType=JobDetails&jobid=846556", "apply_url_verified": false, "ats": "brassring_kenexa", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Floor Tech - Night Shift Would you like to begin a career with a company that provides stability and opportunities for growth? We are searching for hardworking individuals to join our Housekeeping Team . We're looking for reliable team members who want to build a career with an established company. The position is located at our company's corporate campus in Oklahoma City. - $20.90 Hr. - Night Shift Only - 7:00pm To 3:30am (Mon - Fri) (Overtime required when necessary) Function: To maintain company facilities and ensure a safe and clean work environment for all.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "shift_type": { "field": "shift_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "shift_type" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": true, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.1f1f352b67699ec533", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "823f6689350f4102986572ed3218d630", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Floor Tech - Night Shift Would you like to begin a career with a company that provides stability and opportunities for growth? We are searching for hardworking individuals to join our Housekeeping Team . We're looking for reliable team members who want to build a career with an established company. The position is located at our company's corporate campus in Oklahoma City. - $20.90 Hr. - Night Shift Only - 7:00pm To 3:30am (Mon - Fri) (Overtime required when necessary) Function: To maintain company facilities and ensure a safe and clean work environment for all.", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:823f6689350f4102986572ed3218d630:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.324a019226c16f1def", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "823f6689350f4102986572ed3218d630", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Floor Tech - Night Shift Would you like to begin a career with a company that provides stability and opportunities for growth? We are searching for hardworking individuals to join our Housekeeping Team . We're looking for reliable team members who want to build a career with an established company. The position is located at our company's corporate campus in Oklahoma City. - $20.90 Hr. - Night Shift Only - 7:00pm To 3:30am (Mon - Fri) (Overtime required when necessary) Function: To maintain company facilities and ensure a safe and clean work environment for all.", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:823f6689350f4102986572ed3218d630:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.559ed225bd1a5890db", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "823f6689350f4102986572ed3218d630", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Floor Tech - Night Shift Would you like to begin a career with a company that provides stability and opportunities for growth? We are searching for hardworking individuals to join our Housekeeping Team . We're looking for reliable team members who want to build a career with an established company. The position is located at our company's corporate campus in Oklahoma City. - $20.90 Hr. - Night Shift Only - 7:00pm To 3:30am (Mon - Fri) (Overtime required when necessary) Function: To maintain company facilities and ensure a safe and clean work environment for all.", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.7bb9aaf89f1b3bf282", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "823f6689350f4102986572ed3218d630", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Floor Tech - Night Shift Would you like to begin a career with a company that provides stability and opportunities for growth? We are searching for hardworking individuals to join our Housekeeping Team . We're looking for reliable team members who want to build a career with an established company. The position is located at our company's corporate campus in Oklahoma City. - $20.90 Hr. - Night Shift Only - 7:00pm To 3:30am (Mon - Fri) (Overtime required when necessary) Function: To maintain company facilities and ensure a safe and clean work environment for all.", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25879&siteid=5295&PageType=JobDetails&jobid=846556", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25879&siteid=5295&PageType=JobDetails&jobid=846556", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25879&siteid=5295&PageType=JobDetails&jobid=846556", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25879&siteid=5295&PageType=JobDetails&jobid=846556", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "01f06b110592e4fde61b87e306406167", "title": "Senior Lead AI Engineer (Gen AI Platform Services)", "employer_name": "Capital One Financial Corporation", "employer_slug": "capital-one-financial", "location_text": "3 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-18T00:00:00.000Z", "apply_url": "https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/San-Jose-CA/Senior-Lead-AI-Engineer--Gen-AI-Platform-Services-_R242863-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Lead AI Engineer (Gen AI Platform Services) 3 Locations posted: Posted 25 Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/927628/000092762826000024/cof-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/927628/000092762826000024/cof-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.5d16abde43b303b677", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "01f06b110592e4fde61b87e306406167", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Senior Lead AI Engineer (Gen AI Platform Services)", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.f58fdab4339906e31d", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "01f06b110592e4fde61b87e306406167", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:01f06b110592e4fde61b87e306406167:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/927628/000092762826000024/cof-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/927628/000092762826000024/cof-20251231.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/San-Jose-CA/Senior-Lead-AI-Engineer--Gen-AI-Platform-Services-_R242863-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/San-Jose-CA/Senior-Lead-AI-Engineer--Gen-AI-Platform-Services-_R242863-1", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "850f783e663e2a192bcd28e994cae69c", "title": "Entry Level Software Engineer - Site Reliability (Remote - Mexico)", "employer_name": "Yelp Inc", "employer_slug": "yelp", "location_text": "Mexico City, Mexico City, Mexico", "country": "MX", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-01T00:00:00.000Z", "apply_url": "https://globalcareers-yelp.icims.com/jobs/13875/entry-level-software-engineer---site-reliability-%28remote---mexico%29/job", "apply_url_verified": false, "ats": "phenom_people", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Entry Level Software Engineer - Site Reliability (Remote - Mexico) Mexico City, Mexico City, Mexico Embrace the role of Yelp as an Entry Level Site Reliability Engineer! Collaborate globally to build scalable, automated systems, monitor site stability, and drive reliability for millions of users. Join a dynamic team, gain hands-on experience with cutting-edge tools, and grow your skills in a supportive, remote-first environment. Apply now to make an impact!", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 48, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1345016/000134501626000019/yelp-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1345016/000134501626000019/yelp-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "entry", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.0fb5771e043097058e", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "850f783e663e2a192bcd28e994cae69c", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Entry Level Software Engineer - Site Reliability (Remote - Mexico) Mexico City, Mexico City, Mexico Embrace the role of Yelp as an Entry Level Site Reliability Engineer! Collaborate globally to build scalable, automated systems, monitor site stability, and drive reliability for millions of users. Join a dynamic team, gain hands-on experience with cutting-edge tools, and grow your skills in a supportive, remote-first environment. Apply now to make an impact!", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:850f783e663e2a192bcd28e994cae69c:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.fb057eb9b1071c79cc", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "850f783e663e2a192bcd28e994cae69c", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Entry Level Software Engineer - Site Reliability (Remote - Mexico) Mexico City, Mexico City, Mexico Embrace the role of Yelp as an Entry Level Site Reliability Engineer! Collaborate globally to build scalable, automated systems, monitor site stability, and drive reliability for millions of users. Join a dynamic team, gain hands-on experience with cutting-edge tools, and grow your skills in a supportive, remote-first environment. Apply now to make an impact!", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:850f783e663e2a192bcd28e994cae69c:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.06460835c020dfa776", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "850f783e663e2a192bcd28e994cae69c", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Entry Level Software Engineer - Site Reliability (Remote - Mexico) Mexico City, Mexico City, Mexico Embrace the role of Yelp as an Entry Level Site Reliability Engineer! Collaborate globally to build scalable, automated systems, monitor site stability, and drive reliability for millions of users. Join a dynamic team, gain hands-on experience with cutting-edge tools, and grow your skills in a supportive, remote-first environment. Apply now to make an impact!", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.3a95dd53896d88e9b6", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "850f783e663e2a192bcd28e994cae69c", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Entry Level Software Engineer - Site Reliability (Remote - Mexico) Mexico City, Mexico City, Mexico Embrace the role of Yelp as an Entry Level Site Reliability Engineer! Collaborate globally to build scalable, automated systems, monitor site stability, and drive reliability for millions of users. Join a dynamic team, gain hands-on experience with cutting-edge tools, and grow your skills in a supportive, remote-first environment. Apply now to make an impact!", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://globalcareers-yelp.icims.com/jobs/13875/entry-level-software-engineer---site-reliability-%28remote---mexico%29/job", "source_values": [ "rule:remote_status" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1345016/000134501626000019/yelp-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1345016/000134501626000019/yelp-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://globalcareers-yelp.icims.com/jobs/13875/entry-level-software-engineer---site-reliability-%28remote---mexico%29/job", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://globalcareers-yelp.icims.com/jobs/13875/entry-level-software-engineer---site-reliability-%28remote---mexico%29/job", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://globalcareers-yelp.icims.com/jobs/13875/entry-level-software-engineer---site-reliability-%28remote---mexico%29/job", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "940a3d0de22e19a665547607f6010a4b", "title": "Software Engineer, Kernel Reliability", "employer_name": "Cerebras Systems", "employer_slug": "cerebras-systems", "location_text": "Sunnyvale CA or Toronto Canada", "country": "CA", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-05T02:05:24.000Z", "apply_url": "https://job-boards.greenhouse.io/cerebrassystems/jobs/7647330003", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer, Kernel Reliability Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role We're looking for a deeply technical, hands-on software engineer to join our on-field Kernel Reliability team. You'll help tackle a critical challenge: improving the reliability of our advanced compute clusters and the underlying inference, training, and internal production services. In this role, you'll work close to the code and design solutions that will scale with our rapidly growing system production and software service offerings. If you have strong fundamentals in systems, debugging, and failure analysis-and enjoy building tools and solving", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.ef957db5f38b62eff6", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "940a3d0de22e19a665547607f6010a4b", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Software Engineer, Kernel Reliability Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role We're looking for a deeply technical, hands-on software engineer to join our on-field Kernel Reliability team. You'll help tackle a critical challenge: improving the reliability of our advanced compute clusters and the underlying inference, training, and internal production services. In this role, you'll work close to the code and design solutions that will scale with our rapidly growing system production and software service offerings. If you have strong fundamentals in systems, debugging, and failure analysis-and enjoy building tools and solving", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.31e076f3b716fc0196", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "940a3d0de22e19a665547607f6010a4b", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:940a3d0de22e19a665547607f6010a4b:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/cerebrassystems/jobs/7647330003", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/cerebrassystems/jobs/7647330003", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "9e1f5124f96bf81f2ea6a0e9183b3a7f", "title": "Diesel Mechanic - Night Shift - $5,000 Stay on Bonus!", "employer_name": "Waste Connections Inc.", "employer_slug": "waste-connections", "location_text": "Manassas, Virginia, United States of America", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-05T00:00:00.000Z", "apply_url": "https://wasteconnections.wd1.myworkdayjobs.com/Careers/job/6319-Virginia-Hauling/Diesel-Mechanic---Night-Shift----5-000-Stay-on-Bonus-_R-100310/apply", "apply_url_verified": false, "ats": "phenom_people", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Diesel Mechanic - Night Shift - $5,000 Stay on Bonus! Manassas, Virginia, United States of America Embrace the opportunity to become a Diesel Mechanic on the night shift and enjoy a $5,000 stay-on bonus, competitive pay, and year-round stability. Perform critical repairs and preventive maintenance on diesel vehicles, ensure safety compliance, and work with a supportive team. Grow your career in a stable, rewarding industry with excellent benefits.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "shift_type": { "field": "shift_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "shift_type" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1318220/000110465926013700/wcn-20251231x10k.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1318220/000110465926013700/wcn-20251231x10k.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "trades", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": true, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.983670c8e37b0a8d48", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "9e1f5124f96bf81f2ea6a0e9183b3a7f", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Diesel Mechanic - Night Shift - $5,000 Stay on Bonus! Manassas, Virginia, United States of America Embrace the opportunity to become a Diesel Mechanic on the night shift and enjoy a $5,000 stay-on bonus, competitive pay, and year-round stability. Perform critical repairs and preventive maintenance on diesel vehicles, ensure safety compliance, and work with a supportive team. Grow your career in a stable, rewarding industry with excellent benefits.", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:9e1f5124f96bf81f2ea6a0e9183b3a7f:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.d88cc2d2df3b39ba9f", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "9e1f5124f96bf81f2ea6a0e9183b3a7f", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Diesel Mechanic - Night Shift - $5,000 Stay on Bonus! Manassas, Virginia, United States of America Embrace the opportunity to become a Diesel Mechanic on the night shift and enjoy a $5,000 stay-on bonus, competitive pay, and year-round stability. Perform critical repairs and preventive maintenance on diesel vehicles, ensure safety compliance, and work with a supportive team. Grow your career in a stable, rewarding industry with excellent benefits.", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:9e1f5124f96bf81f2ea6a0e9183b3a7f:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.2be9178aa591f00296", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "9e1f5124f96bf81f2ea6a0e9183b3a7f", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Diesel Mechanic - Night Shift - $5,000 Stay on Bonus! Manassas, Virginia, United States of America Embrace the opportunity to become a Diesel Mechanic on the night shift and enjoy a $5,000 stay-on bonus, competitive pay, and year-round stability. Perform critical repairs and preventive maintenance on diesel vehicles, ensure safety compliance, and work with a supportive team. Grow your career in a stable, rewarding industry with excellent benefits.", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.9ea8d3bba98228e502", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "9e1f5124f96bf81f2ea6a0e9183b3a7f", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Diesel Mechanic - Night Shift - $5,000 Stay on Bonus! Manassas, Virginia, United States of America Embrace the opportunity to become a Diesel Mechanic on the night shift and enjoy a $5,000 stay-on bonus, competitive pay, and year-round stability. Perform critical repairs and preventive maintenance on diesel vehicles, ensure safety compliance, and work with a supportive team. Grow your career in a stable, rewarding industry with excellent benefits.", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1318220/000110465926013700/wcn-20251231x10k.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1318220/000110465926013700/wcn-20251231x10k.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://wasteconnections.wd1.myworkdayjobs.com/Careers/job/6319-Virginia-Hauling/Diesel-Mechanic---Night-Shift----5-000-Stay-on-Bonus-_R-100310/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://wasteconnections.wd1.myworkdayjobs.com/Careers/job/6319-Virginia-Hauling/Diesel-Mechanic---Night-Shift----5-000-Stay-on-Bonus-_R-100310/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "cedf5d20d025065303276950f3a484c7", "title": "Generative AI Engineer", "employer_name": "ResMed", "employer_slug": "resmed", "location_text": "SG Galaxis", "country": "SG", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://resmed.wd3.myworkdayjobs.com/Resmed_External_Careers/job/SG-Galaxis/Generative-AI-Engineer_JR_044095-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Generative AI Engineer SG Galaxis posted: Posted 30+ Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/943819/000094381925000035/rmd-20250630.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/943819/000094381925000035/rmd-20250630.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.23d0a528f6fc06dc44", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "cedf5d20d025065303276950f3a484c7", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Generative AI Engineer", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.a68de66c22392e2947", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "cedf5d20d025065303276950f3a484c7", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:cedf5d20d025065303276950f3a484c7:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/943819/000094381925000035/rmd-20250630.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/943819/000094381925000035/rmd-20250630.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://resmed.wd3.myworkdayjobs.com/Resmed_External_Careers/job/SG-Galaxis/Generative-AI-Engineer_JR_044095-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://resmed.wd3.myworkdayjobs.com/Resmed_External_Careers/job/SG-Galaxis/Generative-AI-Engineer_JR_044095-1", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "ae24aa561151ca258198166cdc43c82c", "title": "AVP, Application Engineering- Aetna Core Commercial systems", "employer_name": "CVS Health Corporation", "employer_slug": "cvs-health", "location_text": "151 Farmington Avenue, Hartford, Connecticut,United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-04-17T00:00:00.000Z", "apply_url": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/CT---Hartford/AVP--Application-Engineering--Aetna-Core-Commercial-systems_R0876766/apply", "apply_url_verified": false, "ats": "custom_structured", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AVP, Application Engineering- Aetna Core Commercial systems 151 Farmington Avenue, Hartford, Connecticut,United States Join our team as AVP, Application Engineering and lead the technology strategy for Aetna Core Commercial Systems. Drive modernization, transformation, and innovation across a large-scale, high-impact portfolio. Collaborate with business and technology leaders to deliver value, stability, and operational excellence in a dynamic, regulated healthcare environment.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": 4, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Healthcare", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.f3972a0c8e383acb15", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "ae24aa561151ca258198166cdc43c82c", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "AVP, Application Engineering- Aetna Core Commercial systems 151 Farmington Avenue, Hartford, Connecticut,United States Join our team as AVP, Application Engineering and lead the technology strategy for Aetna Core Commercial Systems. Drive modernization, transformation, and innovation across a large-scale, high-impact portfolio. Collaborate with business and technology leaders to deliver value, stability, and operational excellence in a dynamic, regulated healthcare environment.", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:ae24aa561151ca258198166cdc43c82c:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.88e4472ca635061730", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "ae24aa561151ca258198166cdc43c82c", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "AVP, Application Engineering- Aetna Core Commercial systems 151 Farmington Avenue, Hartford, Connecticut,United States Join our team as AVP, Application Engineering and lead the technology strategy for Aetna Core Commercial Systems. Drive modernization, transformation, and innovation across a large-scale, high-impact portfolio. Collaborate with business and technology leaders to deliver value, stability, and operational excellence in a dynamic, regulated healthcare environment.", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/CT---Hartford/AVP--Application-Engineering--Aetna-Core-Commercial-systems_R0876766/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/CT---Hartford/AVP--Application-Engineering--Aetna-Core-Commercial-systems_R0876766/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/CT---Hartford/AVP--Application-Engineering--Aetna-Core-Commercial-systems_R0876766/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/CT---Hartford/AVP--Application-Engineering--Aetna-Core-Commercial-systems_R0876766/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "4b4dc7b993cb9de4137990702305c772", "title": "AI Software Engineer", "employer_name": "Zoom Communications, Inc.", "employer_slug": "zoom-communications", "location_text": "Seattle (WA)", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://zoom.wd5.myworkdayjobs.com/zoom/job/Seattle-WA/AI-Software-Engineer_R15882-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Software Engineer Seattle (WA) posted:", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1585521/000158552126000030/zm-20260131.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule:title_override", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1585521/000158552126000030/zm-20260131.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "rule:title_override", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.e51a49b91becc26a42", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "4b4dc7b993cb9de4137990702305c772", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "AI Software Engineer", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.2f7dba88eb14602a40", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "4b4dc7b993cb9de4137990702305c772", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:4b4dc7b993cb9de4137990702305c772:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1585521/000158552126000030/zm-20260131.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1585521/000158552126000030/zm-20260131.htm" ], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://zoom.wd5.myworkdayjobs.com/zoom/job/Seattle-WA/AI-Software-Engineer_R15882-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://zoom.wd5.myworkdayjobs.com/zoom/job/Seattle-WA/AI-Software-Engineer_R15882-1", "source_values": [ "rule:title_override" ], "checked_at": null } } }, { "id": "d919a961b3c1d3dd7dbde8c3072fcc4a", "title": "Forward Deployed Finance Analytics & AI Specialist", "employer_name": "Snowflake Inc.", "employer_slug": "snowflake", "location_text": "US-CA-Menlo Park, Menlo Park, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-08T15:55:05.519Z", "apply_url": "https://jobs.ashbyhq.com/snowflake/b24b3738-91a0-4ca7-9fc7-bf165fa517dd", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Forward Deployed Finance Analytics & AI Specialist US-CA-Menlo Park, Menlo Park, California, United States At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Forward Deployed Engineers on Finance Analytics & AI team combine deep finance domain expertise with full-stack data capabilities, a rare pairing that makes us Snowflake's most effective technical presence in the field. You embed directly with customer Finance and Analytics teams to turn Snowflake's AI platform into production systems that change how they work. Finance is one of the first enterprise functions being modernized by AI and Snowflake is defining what that looks like. The workflows are well-defined and the legacy systems are overdue for replacement. You will deploy Cortex Agents, build semantic models, ship Streamlit apps inside Snowflake, and author AI skills that encode repeatable finance workflows into reusable tools. When you leave a customer engagement, their team", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1640147/000164014726000008/snow-20260131.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1640147/000164014726000008/snow-20260131.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 10, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": 95, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.7ad248a9d9bec54c34", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "d919a961b3c1d3dd7dbde8c3072fcc4a", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Forward Deployed Finance Analytics & AI Specialist", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.4eff54e1abf11320a0", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "d919a961b3c1d3dd7dbde8c3072fcc4a", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:d919a961b3c1d3dd7dbde8c3072fcc4a:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1640147/000164014726000008/snow-20260131.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1640147/000164014726000008/snow-20260131.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/snowflake/b24b3738-91a0-4ca7-9fc7-bf165fa517dd", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/snowflake/b24b3738-91a0-4ca7-9fc7-bf165fa517dd", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/snowflake/b24b3738-91a0-4ca7-9fc7-bf165fa517dd", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/snowflake/b24b3738-91a0-4ca7-9fc7-bf165fa517dd", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "b1c0389876435dc7519b9c19d5bb7536", "title": "Manager, Process Engineering - Little Rock, AR", "employer_name": "Trex Company, Inc.", "employer_slug": "trex", "location_text": "Arkansas Plant", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-04-09T14:07:22.268Z", "apply_url": "https://recruiting.ultipro.com/TRE1006TRCI/JobBoard/699366e7-23c6-46d9-ae0d-4f649323dabf/OpportunityDetail?opportunityId=97394db9-3378-44c7-bea7-3bc9622c1160", "apply_url_verified": false, "ats": "ukg_pro", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Manager, Process Engineering - Little Rock, AR Arkansas Plant We are looking for a Manager, Process Engineering to be accountable for process stability, capability, and continuous improvement of extrusion-based manufacturing operations. As a Trex Manager, Process Engineering, you will be looked to as an innovator in the manufacturing process and expected to serve as the technical owner of the decking, reprocessing (recycling), and compounding extrusion processes, ensuring safe, reliable, and cost-effective operation while maximizing throughput, yield, and product quality. This role is a key member of our Engineering team.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1069878/000119312526068732/trex-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1069878/000119312526068732/trex-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.321bc6ebae7aadc870", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "b1c0389876435dc7519b9c19d5bb7536", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Manager, Process Engineering - Little Rock, AR Arkansas Plant We are looking for a Manager, Process Engineering to be accountable for process stability, capability, and continuous improvement of extrusion-based manufacturing operations. As a Trex Manager, Process Engineering, you will be looked to as an innovator in the manufacturing process and expected to serve as the technical owner of the decking, reprocessing (recycling), and compounding extrusion processes, ensuring safe, reliable, and cost-effective operation while maximizing throughput, yield, and product quality. This role is a key member of our Engineering team.", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:b1c0389876435dc7519b9c19d5bb7536:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.5349cf6373a0993613", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "b1c0389876435dc7519b9c19d5bb7536", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Manager, Process Engineering - Little Rock, AR Arkansas Plant We are looking for a Manager, Process Engineering to be accountable for process stability, capability, and continuous improvement of extrusion-based manufacturing operations. As a Trex Manager, Process Engineering, you will be looked to as an innovator in the manufacturing process and expected to serve as the technical owner of the decking, reprocessing (recycling), and compounding extrusion processes, ensuring safe, reliable, and cost-effective operation while maximizing throughput, yield, and product quality. This role is a key member of our Engineering team.", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1069878/000119312526068732/trex-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1069878/000119312526068732/trex-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://recruiting.ultipro.com/TRE1006TRCI/JobBoard/699366e7-23c6-46d9-ae0d-4f649323dabf/OpportunityDetail?opportunityId=97394db9-3378-44c7-bea7-3bc9622c1160", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://recruiting.ultipro.com/TRE1006TRCI/JobBoard/699366e7-23c6-46d9-ae0d-4f649323dabf/OpportunityDetail?opportunityId=97394db9-3378-44c7-bea7-3bc9622c1160", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "b2b56a32d0e05c81f68ce4c242f1a3f4", "title": "Support Engineer (L3) - File Storage", "employer_name": "Quantum Si Inc", "employer_slug": "quantum-si", "location_text": "Centennial, CO", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-11T15:28:08.541Z", "apply_url": "https://recruiting2.ultipro.com/QUA1014QUAM/JobBoard/ca0ab154-0d7f-47e3-af84-cd9bd79768dc/OpportunityDetail?opportunityId=25dbbba2-d87b-492d-b2f6-94801d2d9ea3", "apply_url_verified": false, "ats": "ukg_pro", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Support Engineer (L3) - File Storage Centennial, CO Quantum is seeking a highly skilled Level 3 (L3) Support Engineer to support the StorNext and Xcellis file storage platforms. In this role, you will serve as the technical escalation point for complex customer issues, working closely with Support, Engineering, QA, and Product Management to ensure the stability, reliability, and performance of our file storage solutions. This position requires strong experience in enterprise file systems, Linux environments, storage architectures, and advanced troubleshooting.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1816431/000181643126000011/qsi-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1816431/000181643126000011/qsi-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.c2eb3a5623db80ef1d", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "b2b56a32d0e05c81f68ce4c242f1a3f4", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description matched \"stability\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Support Engineer (L3) - File Storage Centennial, CO Quantum is seeking a highly skilled Level 3 (L3) Support Engineer to support the StorNext and Xcellis file storage platforms. In this role, you will serve as the technical escalation point for complex customer issues, working closely with Support, Engineering, QA, and Product Management to ensure the stability, reliability, and performance of our file storage solutions. This position requires strong experience in enterprise file systems, Linux environments, storage architectures, and advanced troubleshooting.", "matched_input": "stability", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:b2b56a32d0e05c81f68ce4c242f1a3f4:description:stability", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.479a2f224d7ffd8cdb", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "b2b56a32d0e05c81f68ce4c242f1a3f4", "signal_type": "query_match", "display_text": "Description: \"stability\"", "tooltip": "Description contains \"stability\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Support Engineer (L3) - File Storage Centennial, CO Quantum is seeking a highly skilled Level 3 (L3) Support Engineer to support the StorNext and Xcellis file storage platforms. In this role, you will serve as the technical escalation point for complex customer issues, working closely with Support, Engineering, QA, and Product Management to ensure the stability, reliability, and performance of our file storage solutions. This position requires strong experience in enterprise file systems, Linux environments, storage architectures, and advanced troubleshooting.", "matched_input": "stability", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://recruiting2.ultipro.com/QUA1014QUAM/JobBoard/ca0ab154-0d7f-47e3-af84-cd9bd79768dc/OpportunityDetail?opportunityId=25dbbba2-d87b-492d-b2f6-94801d2d9ea3", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1816431/000181643126000011/qsi-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1816431/000181643126000011/qsi-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://recruiting2.ultipro.com/QUA1014QUAM/JobBoard/ca0ab154-0d7f-47e3-af84-cd9bd79768dc/OpportunityDetail?opportunityId=25dbbba2-d87b-492d-b2f6-94801d2d9ea3", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://recruiting2.ultipro.com/QUA1014QUAM/JobBoard/ca0ab154-0d7f-47e3-af84-cd9bd79768dc/OpportunityDetail?opportunityId=25dbbba2-d87b-492d-b2f6-94801d2d9ea3", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "a8912cb268b16f774389d08421bb2f6a", "title": "Senior Machine Learning Platform Engineer", "employer_name": "FieldAI", "employer_slug": "fieldai", "location_text": "Irvine, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2025-09-26T23:48:47.978Z", "apply_url": "https://jobs.lever.co/field-ai/67623c6f-2bd1-4149-a880-44563a2326dd", "apply_url_verified": false, "ats": "lever", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Machine Learning Platform Engineer Irvine, CA FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You'll Get To Do: - Design and manage scalable ML infrastructure with IaC tools (Terraform, CloudFormation). - Develop and optimize cloud-based pipelines for training, evaluation, and inference on multimodal datasets. - Build and operate data systems", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 4, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.a471cc515e76718420", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "a8912cb268b16f774389d08421bb2f6a", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "FieldAI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.6edbfbb273fad5a768", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "a8912cb268b16f774389d08421bb2f6a", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:a8912cb268b16f774389d08421bb2f6a:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/field-ai/67623c6f-2bd1-4149-a880-44563a2326dd", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/field-ai/67623c6f-2bd1-4149-a880-44563a2326dd", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/field-ai/67623c6f-2bd1-4149-a880-44563a2326dd", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "e88d95e9917118fe2b60b7ef2c2bda1b", "title": "AI Design Leader", "employer_name": "Intercom", "employer_slug": "intercom", "location_text": "Berlin, Germany; Dublin, Ireland; London, England", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2025-04-10T11:49:00.000Z", "apply_url": "https://job-boards.greenhouse.io/intercom/jobs/6781237", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Design Leader Berlin, Germany; Dublin, Ireland; London, England Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. We are looking for a technically-capable product leader to head up AI Design at Fin. Fin is the #1 AI agent for customer service - a full-stack, vertically integrated AI system powered by our own in-house models, Apex, designed specifically for customer experiences. The role is to lead the Design function within our AI Group, where our custom models and core Fin functionality are developed. You will be managing our AI Designers (currently 3 Staff/Principal level AI Designers). You will work directly with AI Engineers and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "design", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "growth-stage", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.01d7e535a130a34719", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e88d95e9917118fe2b60b7ef2c2bda1b", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "AI Design Leader", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.d873c6fd9d6f8fbc0b", "query_id": "gq_c43c1994e60dceaa22f6", "job_id": "e88d95e9917118fe2b60b7ef2c2bda1b", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "design", "matched_input": "stability ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_c43c1994e60dceaa22f6:e88d95e9917118fe2b60b7ef2c2bda1b:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/intercom/jobs/6781237", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/intercom/jobs/6781237", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/intercom/jobs/6781237", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } } ], "total": 384, "page": 10, "per_page": 100, "applied_filters": { "q": "Stability AI" }, "hidden_unknown_benefits_count": 0, "hidden_quality_floor_count": 0, "quality_floor": "default", "search_profile": { "profile_id": "inv382.d6.pg_textsearch_bge_small_rrf.v1", "bm25_extension": "pg_textsearch", "vector_model": "BAAI/bge-small-en-v1.5", "vector_model_version": "v1.5", "fusion_method": "rrf" }, "explanation_context": { "non_trivial_query": true, "query_terms": [ "stability", "ai" ], "active_filter_keys": [], "visible_signal_limit": 3, "visible_trust_limit": 2 }, "event_context": { "query_context": { "query_id": "41bac665-0b3e-4df1-8e4f-2858532513e2", "issued_at": "2026-08-15T01:10:59.785Z", "route": "/jobs", "page": 10, "per_page": 100, "total_results": 384, "sort": "relevance", "ranking_policy": "hybrid_rrf_rerank", "ranking_policy_version": "inv382.jobs.search.v2", "query_hash": "hmac_sha256:DP7jOL0a-0nVmn2zAnuZKSBqcdw1smskC0LGr2b0_0w", "filter_hash": "hmac_sha256:6CBErDPXOFVCSNkSGbTmuw6GxoMjwSLro0KqZMtxL_0", "query_features": { "has_q": true, "q_term_count": 2, "q_length_bucket": "1_15", "q_pii_redacted": false, "state_count": 0, "benefit_filters": [], "quality_floor": "default" }, "exposures": [ { "result_id": "cb7f08a531bc308044cff1533c4264a7", "position": 901, "page_position": 1, "retrieval_features": { "bm25_score": -5.606505036354065, "vector_score": 0, "rrf_score": 0.001976284584980237, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "ed80d588ea56fdcbf97ecd93ebd984c0", "position": 902, "page_position": 2, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34049286487655905, "rrf_score": 0.001976284584980237, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 66, "quality_score": 55 } }, { "result_id": "7065135ac138362bc33fad30c85bf63f", "position": 903, "page_position": 3, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34049983862041344, "rrf_score": 0.0019723865877712033, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 177, "quality_score": 45 } }, { "result_id": "d8e8258aff95ba8a8210bfc4f95a661f", "position": 904, "page_position": 4, "retrieval_features": { "bm25_score": -5.606505036354065, "vector_score": 0, "rrf_score": 0.0019723865877712033, "text_match_title": false, "text_match_employer": true, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 301, "quality_score": 45 } }, { "result_id": "9a492547f99d9356b0f0fd6e91e9fef7", "position": 905, "page_position": 5, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3405158722708137, "rrf_score": 0.001968503937007874, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 302, "quality_score": 45 } }, { "result_id": "dab3db25d09a7e42301e73dca3e2772d", "position": 906, "page_position": 6, "retrieval_features": { "bm25_score": -5.606505036354065, "vector_score": 0, "rrf_score": 0.001968503937007874, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 338, "quality_score": 45 } }, { "result_id": "de854963141a9f943ac095223c032126", "position": 907, "page_position": 7, "retrieval_features": { "bm25_score": -5.606505036354065, "vector_score": 0, "rrf_score": 0.0019646365422396855, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "fdecaf7463813ac1d203ead3c80f298d", "position": 908, "page_position": 8, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34055147654431783, "rrf_score": 0.0019646365422396855, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 95, "quality_score": 35 } }, { "result_id": "394d5811b93d4e35a7bd6be5e061ca41", "position": 909, "page_position": 9, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3405557477805452, "rrf_score": 0.00196078431372549, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 95, "quality_score": 35 } }, { "result_id": "fcea82e914823c8b23e17c62b0f063a3", "position": 910, "page_position": 10, "retrieval_features": { "bm25_score": -5.606505036354065, "vector_score": 0, "rrf_score": 0.00196078431372549, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 704, "quality_score": 45 } }, { "result_id": "ffb56c53f45170973d02c3420995f665", "position": 911, "page_position": 11, "retrieval_features": { "bm25_score": -5.606505036354065, "vector_score": 0, "rrf_score": 0.0019569471624266144, "text_match_title": false, "text_match_employer": true, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "f9ce413bd296895d35763eda1101919a", "position": 912, "page_position": 12, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3406028354527244, "rrf_score": 0.0019569471624266144, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 273, "quality_score": 45 } }, { "result_id": "ffd1e86588a300570246c77e5ad2f956", "position": 913, "page_position": 13, "retrieval_features": { "bm25_score": -5.606505036354065, "vector_score": 0, "rrf_score": 0.001953125, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 91, "quality_score": 55 } }, { "result_id": "b061107418e2739e3085ce169a42c95c", "position": 914, "page_position": 14, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34060504082471255, "rrf_score": 0.001953125, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 123, "quality_score": 45 } }, { "result_id": "13e106378fff71dca887c55a9dde6ec6", "position": 915, "page_position": 15, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.001949317738791423, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 63, "quality_score": 45 } }, { "result_id": "eaae3e302cae938b4ab5143ca2ee98ba", "position": 916, "page_position": 16, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3406271148475546, "rrf_score": 0.001949317738791423, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 82, "quality_score": 45 } }, { "result_id": "14041b15a4a1c7095364564cbb1d11bc", "position": 917, "page_position": 17, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0019455252918287938, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 63, "quality_score": 45 } }, { "result_id": "d23eb09ecf360a263bea4e33660755fc", "position": 918, "page_position": 18, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3406471020561843, "rrf_score": 0.001941747572815534, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 87, "quality_score": 35 } }, { "result_id": "1692d3fd381667f1a18ad2a585aa797a", "position": 919, "page_position": 19, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.001941747572815534, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 318, "quality_score": 55 } }, { "result_id": "17bbb8794a31035d170f56e614c59516", "position": 920, "page_position": 20, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.001937984496124031, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 63, "quality_score": 45 } }, { "result_id": "a51fce7ab1bf03f12985f6dfee386caf", "position": 921, "page_position": 21, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3406583869849662, "rrf_score": 0.001937984496124031, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 95, "quality_score": 35 } }, { "result_id": "98a50e35355af14753cb22885f27233e", "position": 922, "page_position": 22, "retrieval_features": { "bm25_score": -4.614243030548096, "vector_score": 0.349396905267053, "rrf_score": 0.0019356651215058295, "text_match_title": true, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 263, "quality_score": 45 } }, { "result_id": "0cf9ed97d51c04d85d6a2e4519329f3a", "position": 923, "page_position": 23, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3406632542610122, "rrf_score": 0.0019342359767891683, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 95, "quality_score": 35 } }, { "result_id": "17f1c63fa45eb06e725b49296f44f4cb", "position": 924, "page_position": 24, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0019342359767891683, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 1925, "quality_score": 45 } }, { "result_id": "4cf7c7d9163289dbbcce83ad8862859d", "position": 925, "page_position": 25, "retrieval_features": { "bm25_score": 0, "vector_score": 0.340675771236415, "rrf_score": 0.0019305019305019305, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 564, "quality_score": 45 } }, { "result_id": "1a80b0b83658abdbe9666bc28b80cee4", "position": 926, "page_position": 26, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0019305019305019305, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 185, "quality_score": 45 } }, { "result_id": "29b3607eda890b9752ddc6c272859954", "position": 927, "page_position": 27, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0019267822736030828, "text_match_title": true, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 63, "quality_score": 45 } }, { "result_id": "3ca093a496a50bd841ef332d3aeae792", "position": 928, "page_position": 28, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3406949639320327, "rrf_score": 0.0019267822736030828, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 88, "quality_score": 35 } }, { "result_id": "2b3bb39c5e7179a28cfad030e291026f", "position": 929, "page_position": 29, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0019230769230769232, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 66, "quality_score": 45 } }, { "result_id": "bfda742d92b1994aa2aef6dec0fad534", "position": 930, "page_position": 30, "retrieval_features": { "bm25_score": 0, "vector_score": 0.340709209442134, "rrf_score": 0.0019230769230769232, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 366, "quality_score": 45 } }, { "result_id": "2d610f58bc47a0694f549c38decadb9d", "position": 931, "page_position": 31, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34071302479919985, "rrf_score": 0.0019193857965451055, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 64, "quality_score": 55 } }, { "result_id": "2de9ea7e4f1481c40e18c8ce53b9b1ef", "position": 932, "page_position": 32, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0019193857965451055, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 1508, "quality_score": 45 } }, { "result_id": "3f52ff75814ddef20943efcfeb11a4b7", "position": 933, "page_position": 33, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0019157088122605363, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 63, "quality_score": 45 } }, { "result_id": "4347f19d12137d9e78aa7b2b5d5b3479", "position": 934, "page_position": 34, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34075268153862126, "rrf_score": 0.0019120458891013384, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 567, "quality_score": 55 } }, { "result_id": "44f3f348e5c3ce2c7c83d3826fb62d9b", "position": 935, "page_position": 35, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0019120458891013384, "text_match_title": true, "text_match_employer": true, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 158, "quality_score": 45 } }, { "result_id": "5503cbd65e61125459d526a48b1af45b", "position": 936, "page_position": 36, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0019083969465648854, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 63, "quality_score": 45 } }, { "result_id": "92a7e9ab54e2982e041f94d111c8729c", "position": 937, "page_position": 37, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34076267480849753, "rrf_score": 0.0019083969465648854, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 828, "quality_score": 45 } }, { "result_id": "56e960ff7ec982c071b23eb7bcd0ea5d", "position": 938, "page_position": 38, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0019047619047619048, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 86, "quality_score": 45 } }, { "result_id": "5592a33e012adf3e909fda687f8315db", "position": 939, "page_position": 39, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34081131219863425, "rrf_score": 0.0019047619047619048, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 337, "quality_score": 45 } }, { "result_id": "5897c1ab10b50cb5ae1e0ece812f7e16", "position": 940, "page_position": 40, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0019011406844106464, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 89, "quality_score": 55 } }, { "result_id": "c7978d70646a8d9bedf1ed14fed39f5f", "position": 941, "page_position": 41, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34083070402328275, "rrf_score": 0.0019011406844106464, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 63, "quality_score": 35 } }, { "result_id": "bd197b5926e2f7abc8468c447b6e89e9", "position": 942, "page_position": 42, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3409100974148558, "rrf_score": 0.0018975332068311196, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 144, "quality_score": 55 } }, { "result_id": "5ab0cc56513556f687bbef9392479b94", "position": 943, "page_position": 43, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0018975332068311196, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 242, "quality_score": 45 } }, { "result_id": "5f7133e03a96c673be0956d0ad340baf", "position": 944, "page_position": 44, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.001893939393939394, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 63, "quality_score": 45 } }, { "result_id": "8c63eca941ee456174e166126f2fcbff", "position": 945, "page_position": 45, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3409181440423801, "rrf_score": 0.001893939393939394, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 156, "quality_score": 45 } }, { "result_id": "780f1a65e7a7ada815ac1ec45f6df0db", "position": 946, "page_position": 46, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34099805355071555, "rrf_score": 0.001890359168241966, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 302, "quality_score": 55 } }, { "result_id": "622a5b0abb4bac44e4d12d2097950a89", "position": 947, "page_position": 47, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.001890359168241966, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 63, "quality_score": 45 } }, { "result_id": "68332f180d3a3a95899c68dd0bce73b7", "position": 948, "page_position": 48, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34100719338698227, "rrf_score": 0.0018867924528301887, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 68, "quality_score": 55 } }, { "result_id": "6478c57584379c217a21537e5f43ef0e", "position": 949, "page_position": 49, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0018867924528301887, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 65, "quality_score": 55 } }, { "result_id": "3e4a0b1aabe6e27b5f3f45ead23110b5", "position": 950, "page_position": 50, "retrieval_features": { "bm25_score": 0, "vector_score": 0.341010412037992, "rrf_score": 0.0018832391713747645, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 95, "quality_score": 35 } }, { "result_id": "69f02f095a9b42fd5b3c2deec8bfe2f7", "position": 951, "page_position": 51, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0018832391713747645, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 67, "quality_score": 55 } }, { "result_id": "6dc3754a6f864ca5359f8988bc99808f", "position": 952, "page_position": 52, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0018796992481203006, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 109, "quality_score": 45 } }, { "result_id": "ffbd82736ad0eb966c7ed586cfede4d6", "position": 953, "page_position": 53, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3410510420799209, "rrf_score": 0.0018796992481203006, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 295, "quality_score": 45 } }, { "result_id": "86ae1d37f6ff3369a0a999c7772ff4c3", "position": 954, "page_position": 54, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3410548175009964, "rrf_score": 0.001876172607879925, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "7f5aab4c75edfe45b0baa18341e4f2c2", "position": 955, "page_position": 55, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.001876172607879925, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 102, "quality_score": 45 } }, { "result_id": "aaee707e10889ad9948be18736d16b77", "position": 956, "page_position": 56, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3410735130310012, "rrf_score": 0.0018726591760299626, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 85, "quality_score": 45 } }, { "result_id": "86c6a501f0674749ecdcc05fbcf133fe", "position": 957, "page_position": 57, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0018726591760299626, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 245, "quality_score": 55 } }, { "result_id": "87728584dc4bd3d83af73aa5d68635c6", "position": 958, "page_position": 58, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.001869158878504673, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 94, "quality_score": 45 } }, { "result_id": "9e940a3481454fc625d4723446371a5b", "position": 959, "page_position": 59, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34108312970895227, "rrf_score": 0.001869158878504673, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 273, "quality_score": 45 } }, { "result_id": "87784cc90c10ab66ff8a9660493772c2", "position": 960, "page_position": 60, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0018656716417910447, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 63, "quality_score": 45 } }, { "result_id": "10d796a8b035e6cf567c8e18bc30b35f", "position": 961, "page_position": 61, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3411599397659255, "rrf_score": 0.0018656716417910447, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 74, "quality_score": 35 } }, { "result_id": "dffcb86ac8e5be775c7da1f2c2de4a19", "position": 962, "page_position": 62, "retrieval_features": { "bm25_score": 0, "vector_score": 0.341253300979929, "rrf_score": 0.00186219739292365, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 94, "quality_score": 35 } }, { "result_id": "96cc0e541bb34da84df1737893b9466f", "position": 963, "page_position": 63, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.00186219739292365, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 63, "quality_score": 45 } }, { "result_id": "78b7d3791d4bc39b87e6e5882cb15c8f", "position": 964, "page_position": 64, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3412633538246108, "rrf_score": 0.0018587360594795538, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 93, "quality_score": 35 } }, { "result_id": "a20aa1419f6a9462873fa8f810259180", "position": 965, "page_position": 65, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0018587360594795538, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 65, "quality_score": 55 } }, { "result_id": "a8a2a85ab5266cb7a7df15f45df03a3f", "position": 966, "page_position": 66, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0018552875695732839, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "cf387c89345d929a9f27db1adb415030", "position": 967, "page_position": 67, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3412899578386508, "rrf_score": 0.0018552875695732839, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 95, "quality_score": 35 } }, { "result_id": "bdf5f6dfc00e4f51baf8046f1ce68ae7", "position": 968, "page_position": 68, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.001851851851851852, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 63, "quality_score": 55 } }, { "result_id": "3dbf707d566749c7b37ba4b2ed1b0a2c", "position": 969, "page_position": 69, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3413503766059829, "rrf_score": 0.001851851851851852, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 196, "quality_score": 45 } }, { "result_id": "65a7bde401bdfefb50285f762e9769f7", "position": 970, "page_position": 70, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34135866165160667, "rrf_score": 0.0018484288354898336, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 130, "quality_score": 45 } }, { "result_id": "c76e5f992aa2de0750dda79f08783d4b", "position": 971, "page_position": 71, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0018484288354898336, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 148, "quality_score": 45 } }, { "result_id": "e110e37bacc95d3a5bc2d33c550fc808", "position": 972, "page_position": 72, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.0018450184501845018, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 123, "quality_score": 55 } }, { "result_id": "23d5440ad27182647319651e187449cf", "position": 973, "page_position": 73, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3413754112758107, "rrf_score": 0.0018450184501845018, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 85, "quality_score": 45 } }, { "result_id": "e422873c57ebee17d6f42e87a472c6a9", "position": 974, "page_position": 74, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.001841620626151013, "text_match_title": true, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "0236106f46018677fcd54bd5c6fbf947", "position": 975, "page_position": 75, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34138186820637273, "rrf_score": 0.001841620626151013, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 95, "quality_score": 35 } }, { "result_id": "66fcf2561b918e6f664755ed0aa875e8", "position": 976, "page_position": 76, "retrieval_features": { "bm25_score": 0, "vector_score": 0.341422796249385, "rrf_score": 0.001838235294117647, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 89, "quality_score": 55 } }, { "result_id": "e5259aa8907769157bc0f1ddad98b1fe", "position": 977, "page_position": 77, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.001838235294117647, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 67, "quality_score": 55 } }, { "result_id": "e5d11a46f2232be0cc159dfe860122cb", "position": 978, "page_position": 78, "retrieval_features": { "bm25_score": -5.5414862632751465, "vector_score": 0, "rrf_score": 0.001834862385321101, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 63, "quality_score": 45 } }, { "result_id": "59a81583ba99c49c56beeebc0899944e", "position": 979, "page_position": 79, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34148331531782716, "rrf_score": 0.001834862385321101, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 150, "quality_score": 45 } }, { "result_id": "a5b97c753b7907bf73f0ad2a96c84c63", "position": 980, "page_position": 80, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3415107930607064, "rrf_score": 0.0018315018315018315, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 95, "quality_score": 35 } }, { "result_id": "1f416041ad7c070858c57f352abb1d62", "position": 981, "page_position": 81, "retrieval_features": { "bm25_score": -5.52130651473999, "vector_score": 0, "rrf_score": 0.0018315018315018315, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "1fba628d30b8fa025602a1f3b1027bad", "position": 982, "page_position": 82, "retrieval_features": { "bm25_score": -5.52130651473999, "vector_score": 0, "rrf_score": 0.0018281535648994515, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 88, "quality_score": 45 } }, { "result_id": "fa00acbbe929bd7520b6c999aa778d45", "position": 983, "page_position": 83, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34153207192015955, "rrf_score": 0.0018281535648994515, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 67, "quality_score": 35 } }, { "result_id": "d1e0d8894cf83572b970bff95a218ade", "position": 984, "page_position": 84, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34156199345362026, "rrf_score": 0.0018248175182481751, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 68, "quality_score": 45 } }, { "result_id": "32a24d3a6b8b4ff05dece3977b35aa5a", "position": 985, "page_position": 85, "retrieval_features": { "bm25_score": -5.52130651473999, "vector_score": 0, "rrf_score": 0.0018248175182481751, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 115, "quality_score": 45 } }, { "result_id": "07a7632380998b4b9278039ffc8ec9bf", "position": 986, "page_position": 86, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34156258950010354, "rrf_score": 0.0018214936247723133, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 85, "quality_score": 35 } }, { "result_id": "5854b078cdcda4ef1383f1ab0ec034a8", "position": 987, "page_position": 87, "retrieval_features": { "bm25_score": -5.52130651473999, "vector_score": 0, "rrf_score": 0.0018214936247723133, "text_match_title": true, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 94, "quality_score": 45 } }, { "result_id": "823f6689350f4102986572ed3218d630", "position": 988, "page_position": 88, "retrieval_features": { "bm25_score": -5.52130651473999, "vector_score": 0, "rrf_score": 0.0018181818181818182, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "01f06b110592e4fde61b87e306406167", "position": 989, "page_position": 89, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3416065573692275, "rrf_score": 0.0018181818181818182, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 89, "quality_score": 35 } }, { "result_id": "850f783e663e2a192bcd28e994cae69c", "position": 990, "page_position": 90, "retrieval_features": { "bm25_score": -5.52130651473999, "vector_score": 0, "rrf_score": 0.0018148820326678765, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 106, "quality_score": 45 } }, { "result_id": "940a3d0de22e19a665547607f6010a4b", "position": 991, "page_position": 91, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3416230082511855, "rrf_score": 0.0018148820326678765, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 162, "quality_score": 45 } }, { "result_id": "9e1f5124f96bf81f2ea6a0e9183b3a7f", "position": 992, "page_position": 92, "retrieval_features": { "bm25_score": -5.52130651473999, "vector_score": 0, "rrf_score": 0.0018115942028985507, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 71, "quality_score": 45 } }, { "result_id": "cedf5d20d025065303276950f3a484c7", "position": 993, "page_position": 93, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3416270017623855, "rrf_score": 0.0018115942028985507, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 95, "quality_score": 35 } }, { "result_id": "ae24aa561151ca258198166cdc43c82c", "position": 994, "page_position": 94, "retrieval_features": { "bm25_score": -5.52130651473999, "vector_score": 0, "rrf_score": 0.0018083182640144665, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 120, "quality_score": 45 } }, { "result_id": "4b4dc7b993cb9de4137990702305c772", "position": 995, "page_position": 95, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34163602242684377, "rrf_score": 0.0018083182640144665, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 35 } }, { "result_id": "d919a961b3c1d3dd7dbde8c3072fcc4a", "position": 996, "page_position": 96, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3416427373886062, "rrf_score": 0.0018050541516245488, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 67, "quality_score": 45 } }, { "result_id": "b1c0389876435dc7519b9c19d5bb7536", "position": 997, "page_position": 97, "retrieval_features": { "bm25_score": -5.52130651473999, "vector_score": 0, "rrf_score": 0.0018050541516245488, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 127, "quality_score": 45 } }, { "result_id": "b2b56a32d0e05c81f68ce4c242f1a3f4", "position": 998, "page_position": 98, "retrieval_features": { "bm25_score": -5.52130651473999, "vector_score": 0, "rrf_score": 0.0018018018018018018, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 64, "quality_score": 45 } }, { "result_id": "a8912cb268b16f774389d08421bb2f6a", "position": 999, "page_position": 99, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34165360579810056, "rrf_score": 0.0018018018018018018, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 322, "quality_score": 45 } }, { "result_id": "e88d95e9917118fe2b60b7ef2c2bda1b", "position": 1000, "page_position": 100, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3417071700096084, "rrf_score": 0.0017985611510791368, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 491, "quality_score": 45 } } ] }, "context_signature": "5Nvz2xAJq6vlIHhPAY09UJhIMaJ6l6DZ3jO2d0XRSc8", "event_token": "5Nvz2xAJq6vlIHhPAY09UJhIMaJ6l6DZ3jO2d0XRSc8" } }