{ "results": [ { "id": "9b26559a56132f33ae5acd385bf6f06c", "title": "Graduate Trainee", "employer_name": "Plexus Corp", "employer_slug": "plexus", "location_text": "Penang, Malaysia", "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" ], "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://plexus.eightfold.ai/careers/job/1099542540610", "apply_url_verified": false, "ats": "eightfold", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Graduate Trainee Penang, Malaysia", "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/785786/000078578625000064/plxs-20250927.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/785786/000078578625000064/plxs-20250927.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "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": 0, "years_experience_max": 4, "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": 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.semantic.role_function.29f0a62a4845367097", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "9b26559a56132f33ae5acd385bf6f06c", "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": "other", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:9b26559a56132f33ae5acd385bf6f06c: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/785786/000078578625000064/plxs-20250927.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/785786/000078578625000064/plxs-20250927.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://plexus.eightfold.ai/careers/job/1099542540610", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null } } }, { "id": "a3880a15633e73be80d42541d1c00ace", "title": "Architect - Android", "employer_name": "Meesho", "employer_slug": "meesho", "location_text": "Bangalore, 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": "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": [], "posted_at": "2026-05-26T05:21:55.772Z", "apply_url": "https://jobs.lever.co/meesho/040a5a75-28d2-4b56-904b-071c41d4ea90", "apply_url_verified": false, "ats": "lever", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Architect - Android Bangalore, Karnataka What you will do - Define and evolve the long-term Android architecture strategy, including modularization and migration paths away from legacy stacks - Drive cross-team architectural decisions and write ADRs that align mobile and platform teams on shared patterns - Lead architectural reviews, deep-dive design sessions, and refactoring of high-impact surfaces - Set engineering standards for code quality, testing strategy, and release readiness - Own end-to-end app performance - startup, jank, memory, ANRs, battery. - Champion AI-assisted developer workflows - Claude Code, Cursor, Codex, AI-driven code review and test generation and measure productivity impact. - Identify and lead 2-3 crucial strategic projects per year from problem framing through rollout. - Build the next generation of internal SDKs, design system components, and platform libraries consumed by other Android engineers. - Recruit, mentor, and grow Android engineers; partner on hiring loops and career growth - Perform deep code reviews that raise the technical bar - Represent Android in cross-functional planning and shape the broader mobile roadmap What you will need - 8+ years of Android development experience, with at least 2 shipped production apps - Strong command of Jetpack Compose, state management, and the modern Android UI toolkit - Hands-on experience with the modern Jetpack stack: Hilt, Room, DataStore, WorkManager, Navigation, Paging - Solid understanding of architecture patterns - unidirectional data flow, MVI, clean architecture - and how to make them testable - Proven debugging skills - memory leaks, ANRs, jank, cold-start regressions. - Experience with 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": 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" }, "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": 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.6219d183c69255f81c", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "a3880a15633e73be80d42541d1c00ace", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description matched \"cursor\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Architect - Android Bangalore, Karnataka What you will do - Define and evolve the long-term Android architecture strategy, including modularization and migration paths away from legacy stacks - Drive cross-team architectural decisions and write ADRs that align mobile and platform teams on shared patterns - Lead architectural reviews, deep-dive design sessions, and refactoring of high-impact surfaces - Set engineering standards for code quality, testing strategy, and release readiness - Own end-to-end app performance - startup, jank, memory, ANRs, battery. - Champion AI-assisted developer workflows - Claude Code, Cursor, Codex, AI-driven code review and test generation and measure productivity impact. - Identify and lead 2-3 crucial strategic projects per year from problem framing through rollout. - Build the next generation of internal SDKs, design system components, and platform libraries consumed by other Android engineers. - Recruit, mentor, and grow Android engineers; partner on hiring loops and career growth - Perform deep code reviews that raise the technical bar - Represent Android in cross-functional planning and shape the broader mobile roadmap What you will need - 8+ years of Android development experience, with at least 2 shipped production apps - Strong command of Jetpack Compose, state management, and the modern Android UI toolkit - Hands-on experience with the modern Jetpack stack: Hilt, Room, DataStore, WorkManager, Navigation, Paging - Solid understanding of architecture patterns - unidirectional data flow, MVI, clean architecture - and how to make them testable - Proven debugging skills - memory leaks, ANRs, jank, cold-start regressions. - Experience with performance", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:a3880a15633e73be80d42541d1c00ace:description:cursor", "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.09577e85f7e3a36c21", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "a3880a15633e73be80d42541d1c00ace", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description contains \"cursor\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Architect - Android Bangalore, Karnataka What you will do - Define and evolve the long-term Android architecture strategy, including modularization and migration paths away from legacy stacks - Drive cross-team architectural decisions and write ADRs that align mobile and platform teams on shared patterns - Lead architectural reviews, deep-dive design sessions, and refactoring of high-impact surfaces - Set engineering standards for code quality, testing strategy, and release readiness - Own end-to-end app performance - startup, jank, memory, ANRs, battery. - Champion AI-assisted developer workflows - Claude Code, Cursor, Codex, AI-driven code review and test generation and measure productivity impact. - Identify and lead 2-3 crucial strategic projects per year from problem framing through rollout. - Build the next generation of internal SDKs, design system components, and platform libraries consumed by other Android engineers. - Recruit, mentor, and grow Android engineers; partner on hiring loops and career growth - Perform deep code reviews that raise the technical bar - Represent Android in cross-functional planning and shape the broader mobile roadmap What you will need - 8+ years of Android development experience, with at least 2 shipped production apps - Strong command of Jetpack Compose, state management, and the modern Android UI toolkit - Hands-on experience with the modern Jetpack stack: Hilt, Room, DataStore, WorkManager, Navigation, Paging - Solid understanding of architecture patterns - unidirectional data flow, MVI, clean architecture - and how to make them testable - Proven debugging skills - memory leaks, ANRs, jank, cold-start regressions. - Experience with performance", "matched_input": "cursor", "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": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/meesho/040a5a75-28d2-4b56-904b-071c41d4ea90", "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/meesho/040a5a75-28d2-4b56-904b-071c41d4ea90", "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/meesho/040a5a75-28d2-4b56-904b-071c41d4ea90", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "ce8f2a663e8d64eea556f744306dc81c", "title": "Payroll Analyst", "employer_name": "Citigroup Inc.", "employer_slug": "citigroup", "location_text": "ATHENS, Greece", "country": "GR", "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", "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://citi.eightfold.ai/careers/job/859035720889", "apply_url_verified": false, "ats": "eightfold", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Payroll Analyst ATHENS, Greece", "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/831001/000083100126000011/c-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/831001/000083100126000011/c-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": "finance", "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.semantic.role_function.449bc797352c794621", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "ce8f2a663e8d64eea556f744306dc81c", "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": "finance", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:ce8f2a663e8d64eea556f744306dc81c: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/831001/000083100126000011/c-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/831001/000083100126000011/c-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://citi.eightfold.ai/careers/job/859035720889", "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://citi.eightfold.ai/careers/job/859035720889", "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": "b035cce25c93ca04954213ce64895e8b", "title": "Cloud Infrastructure Engineer", "employer_name": "Alchemy", "employer_slug": "alchemy", "location_text": "San Francisco | Hybrid | New York | Remote", "country": "US", "employment_type": "unknown", "remote_status": "hybrid", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 2, "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": "2026-06-07T17:58:24.000Z", "apply_url": "https://jobs.ashbyhq.com/alchemy/42c849ce-8a9b-4015-92fb-b8dfad5c5d0d", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Cloud Infrastructure Engineer San Francisco | Hybrid | New York | Remote About the Role As an engineer in the Infrastructure department at Alchemy, you will design, deploy, and continuously improve the infrastructure powering our blockchain developer platform - serving 100+ chains, billions of daily requests, and over $150B in annual transactions. The Infrastructure team provides the infrastructure, tooling, and expertise needed to allow Alchemy engineers to ship, scale, and operate high-quality products in a fast, safe, and cost-efficient manner. What You'll Do - Architect and operate scalable, self-healing infrastructure leveraging Kubernetes, Terraform, and cloud-native tools across multi-region deployments. - Drive AI enablement across engineering - ensuring repos, tooling, and workflows are optimized for agentic development with tools like Claude Code, Cursor, and Codex. - Build AI-powered infrastructure tooling and automation (e.g., automated K8s upgrades, IaC plan analysis, cost optimization advisors, MCP servers, n8n workflows). - Build and maintain internal developer platform (IDP) capabilities for self-service deployments, observability, and reliability. - Develop observability frameworks using Prometheus and Grafana for metrics, dashboards, and alerting. - Lead incident management with blameless post-mortems; define and enforce SLIs, SLOs, and error budgets across services. - Design and manage multi-cloud, multi-region network architecture - VPC design, IPAM, DNS (Cloudflare), cross-cloud connectivity, security groups, and edge-proxy/istio gateway configuration. - Collaborate with security teams to embed compliance into infrastructure, including IaC scanning and runtime protection. - Provide technical leadership and mentorship to elevate the team's operational capabilities. What We're Looking For - 5+ years as an Infrastructure", "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" }, "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" }, "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": 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.15b5d9bda8bcba97dd", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "b035cce25c93ca04954213ce64895e8b", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description matched \"cursor\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Cloud Infrastructure Engineer San Francisco | Hybrid | New York | Remote About the Role As an engineer in the Infrastructure department at Alchemy, you will design, deploy, and continuously improve the infrastructure powering our blockchain developer platform - serving 100+ chains, billions of daily requests, and over $150B in annual transactions. The Infrastructure team provides the infrastructure, tooling, and expertise needed to allow Alchemy engineers to ship, scale, and operate high-quality products in a fast, safe, and cost-efficient manner. What You'll Do - Architect and operate scalable, self-healing infrastructure leveraging Kubernetes, Terraform, and cloud-native tools across multi-region deployments. - Drive AI enablement across engineering - ensuring repos, tooling, and workflows are optimized for agentic development with tools like Claude Code, Cursor, and Codex. - Build AI-powered infrastructure tooling and automation (e.g., automated K8s upgrades, IaC plan analysis, cost optimization advisors, MCP servers, n8n workflows). - Build and maintain internal developer platform (IDP) capabilities for self-service deployments, observability, and reliability. - Develop observability frameworks using Prometheus and Grafana for metrics, dashboards, and alerting. - Lead incident management with blameless post-mortems; define and enforce SLIs, SLOs, and error budgets across services. - Design and manage multi-cloud, multi-region network architecture - VPC design, IPAM, DNS (Cloudflare), cross-cloud connectivity, security groups, and edge-proxy/istio gateway configuration. - Collaborate with security teams to embed compliance into infrastructure, including IaC scanning and runtime protection. - Provide technical leadership and mentorship to elevate the team's operational capabilities. What We're Looking For - 5+ years as an Infrastructure", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:b035cce25c93ca04954213ce64895e8b:description:cursor", "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.2fd29b1097a79653c9", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "b035cce25c93ca04954213ce64895e8b", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description contains \"cursor\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Cloud Infrastructure Engineer San Francisco | Hybrid | New York | Remote About the Role As an engineer in the Infrastructure department at Alchemy, you will design, deploy, and continuously improve the infrastructure powering our blockchain developer platform - serving 100+ chains, billions of daily requests, and over $150B in annual transactions. The Infrastructure team provides the infrastructure, tooling, and expertise needed to allow Alchemy engineers to ship, scale, and operate high-quality products in a fast, safe, and cost-efficient manner. What You'll Do - Architect and operate scalable, self-healing infrastructure leveraging Kubernetes, Terraform, and cloud-native tools across multi-region deployments. - Drive AI enablement across engineering - ensuring repos, tooling, and workflows are optimized for agentic development with tools like Claude Code, Cursor, and Codex. - Build AI-powered infrastructure tooling and automation (e.g., automated K8s upgrades, IaC plan analysis, cost optimization advisors, MCP servers, n8n workflows). - Build and maintain internal developer platform (IDP) capabilities for self-service deployments, observability, and reliability. - Develop observability frameworks using Prometheus and Grafana for metrics, dashboards, and alerting. - Lead incident management with blameless post-mortems; define and enforce SLIs, SLOs, and error budgets across services. - Design and manage multi-cloud, multi-region network architecture - VPC design, IPAM, DNS (Cloudflare), cross-cloud connectivity, security groups, and edge-proxy/istio gateway configuration. - Collaborate with security teams to embed compliance into infrastructure, including IaC scanning and runtime protection. - Provide technical leadership and mentorship to elevate the team's operational capabilities. What We're Looking For - 5+ years as an Infrastructure", "matched_input": "cursor", "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/alchemy/42c849ce-8a9b-4015-92fb-b8dfad5c5d0d", "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" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/alchemy/42c849ce-8a9b-4015-92fb-b8dfad5c5d0d", "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/alchemy/42c849ce-8a9b-4015-92fb-b8dfad5c5d0d", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "5027657c2e66f9cfbcba0f336df35ee9", "title": "Mechatroniker", "employer_name": "Novartis", "employer_slug": "novartis", "location_text": "Schaftenau", "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": "2026-05-12T00:00:00.000Z", "apply_url": "https://novartis.wd3.myworkdayjobs.com/Internal_Careers_for_Acquired_Entities/job/Schaftenau/Mechatroniker_REQ-10075628", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Mechatroniker Schaftenau 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" }, "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": "trades", "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.semantic.role_function.f81354d68551e23601", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "5027657c2e66f9cfbcba0f336df35ee9", "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": "trades", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:5027657c2e66f9cfbcba0f336df35ee9: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": 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://novartis.wd3.myworkdayjobs.com/Internal_Careers_for_Acquired_Entities/job/Schaftenau/Mechatroniker_REQ-10075628", "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://novartis.wd3.myworkdayjobs.com/Internal_Careers_for_Acquired_Entities/job/Schaftenau/Mechatroniker_REQ-10075628", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "e9cc785adf2bda407e04131f33af4d22", "title": "Senior Software Engineer", "employer_name": "COHU INC", "employer_slug": "cohu", "location_text": "Taiwan", "country": "TW", "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": "2026-04-14T00:00:00.000Z", "apply_url": "https://hcbo.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/302243", "apply_url_verified": true, "ats": "oraclecloud", "url_last_checked_alive": "2026-08-17T02:59:13.328Z", "removed_at": null, "description_excerpt": "Senior Software Engineer Taiwan System Software Engineer Role Summary The System Software Engineer designs, develops, integrates, tests, and debugs system-level software for the core operating system and software platform used in Automated Test Equipment (ATE). Working within an established architecture, this role delivers high‑quality, production‑ready software components that directly impact platform performance, reliability, and functionality. You will work across a broad technical spectrum ranging from modern user ‑ facing GUI development to the core system internals with the added expectation of leveraging AI-assisted development workflows to enhance productivity and code quality. We are seeking an engineer who can integrate AI ‑ based solutions, such as Model Context Protocol (MCP), to provide AI ‑ driven interfaces and integrations for our products. Responsibilities Software Development & Integration Implement and optimize system and platform software according to defined architecture and requirements on a Linux-based system. Integrate modules into the ATE operating system and support system validation. Support modern UI development using tools such as Node.js, Vue.js, TypeScript, and Qt 5. Document implementation details and interfaces to support maintainability and long‑term reliability. AI ‑ Augmented Development Leverage AI-powered development tools (e.g., Cursor, GitHub Copilot) to accelerate coding, refactoring, documentation, and debugging workflows. Identify opportunities to apply AI ‑ based solutions to internal software ‑ development workflows and to customer ‑ facing products. Debugging & Testing Diagnose and resolve software defects using code‑level debugging, profiling, and analysis tools. Develop and maintain automated unit, integration, and system‑level tests. Participate in code reviews and ensure adherence 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": 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" }, "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/21535/000143774926004339/cohu20251227_10k.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/21535/000143774926004339/cohu20251227_10k.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": 3, "years_experience_max": 9, "role_function": "engineering", "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": 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.df31aaa94a590d602b", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "e9cc785adf2bda407e04131f33af4d22", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description matched \"cursor\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Software Engineer Taiwan System Software Engineer Role Summary The System Software Engineer designs, develops, integrates, tests, and debugs system-level software for the core operating system and software platform used in Automated Test Equipment (ATE). Working within an established architecture, this role delivers high‑quality, production‑ready software components that directly impact platform performance, reliability, and functionality. You will work across a broad technical spectrum ranging from modern user ‑ facing GUI development to the core system internals with the added expectation of leveraging AI-assisted development workflows to enhance productivity and code quality. We are seeking an engineer who can integrate AI ‑ based solutions, such as Model Context Protocol (MCP), to provide AI ‑ driven interfaces and integrations for our products. Responsibilities Software Development & Integration Implement and optimize system and platform software according to defined architecture and requirements on a Linux-based system. Integrate modules into the ATE operating system and support system validation. Support modern UI development using tools such as Node.js, Vue.js, TypeScript, and Qt 5. Document implementation details and interfaces to support maintainability and long‑term reliability. AI ‑ Augmented Development Leverage AI-powered development tools (e.g., Cursor, GitHub Copilot) to accelerate coding, refactoring, documentation, and debugging workflows. Identify opportunities to apply AI ‑ based solutions to internal software ‑ development workflows and to customer ‑ facing products. Debugging & Testing Diagnose and resolve software defects using code‑level debugging, profiling, and analysis tools. Develop and maintain automated unit, integration, and system‑level tests. Participate in code reviews and ensure adherence to", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:e9cc785adf2bda407e04131f33af4d22:description:cursor", "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.2758cede2d59be875f", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "e9cc785adf2bda407e04131f33af4d22", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description contains \"cursor\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Software Engineer Taiwan System Software Engineer Role Summary The System Software Engineer designs, develops, integrates, tests, and debugs system-level software for the core operating system and software platform used in Automated Test Equipment (ATE). Working within an established architecture, this role delivers high‑quality, production‑ready software components that directly impact platform performance, reliability, and functionality. You will work across a broad technical spectrum ranging from modern user ‑ facing GUI development to the core system internals with the added expectation of leveraging AI-assisted development workflows to enhance productivity and code quality. We are seeking an engineer who can integrate AI ‑ based solutions, such as Model Context Protocol (MCP), to provide AI ‑ driven interfaces and integrations for our products. Responsibilities Software Development & Integration Implement and optimize system and platform software according to defined architecture and requirements on a Linux-based system. Integrate modules into the ATE operating system and support system validation. Support modern UI development using tools such as Node.js, Vue.js, TypeScript, and Qt 5. Document implementation details and interfaces to support maintainability and long‑term reliability. AI ‑ Augmented Development Leverage AI-powered development tools (e.g., Cursor, GitHub Copilot) to accelerate coding, refactoring, documentation, and debugging workflows. Identify opportunities to apply AI ‑ based solutions to internal software ‑ development workflows and to customer ‑ facing products. Debugging & Testing Diagnose and resolve software defects using code‑level debugging, profiling, and analysis tools. Develop and maintain automated unit, integration, and system‑level tests. Participate in code reviews and ensure adherence to", "matched_input": "cursor", "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.09f3c960fd0d665666", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "e9cc785adf2bda407e04131f33af4d22", "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://hcbo.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/302243", "source_label": "Apply link", "source_date": "2026-08-17T02:59:13.328Z" } } ], "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": "2026-08-17T02:59:13.328Z", "apply_url_verification_status": "reachable_when_last_checked", "apply_url_verification_label": "Reachable when checked at 2026-08-17T02:59:13.328Z", "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/21535/000143774926004339/cohu20251227_10k.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/21535/000143774926004339/cohu20251227_10k.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://hcbo.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/302243", "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://hcbo.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/302243", "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": "ead7db4e63a74525743bed675a6268aa", "title": "Senior AI Research & Agentic Engineer Hybrid", "employer_name": "Cisco", "employer_slug": "cisco", "location_text": "2 Locations", "country": "unknown", "employment_type": "full_time", "remote_status": "hybrid", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 2, "timezone_overlap_hours": 3, "salary_min": 177600, "salary_max": 236800, "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": 177600, "base_salary_max": 236800, "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": "2026-06-07T00:00:00.000Z", "apply_url": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/San-Jose-California-US/Senior-AI-Research---Agentic-Engineer-Hybrid_2010107", "apply_url_verified": true, "ats": "workday", "url_last_checked_alive": "2026-08-17T02:59:13.328Z", "removed_at": null, "description_excerpt": "Senior AI Research & Agentic Engineer Hybrid 2 Locations The application window is expected to close on: 05/29/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This role is hybrid. Onsite 3 days per week in Raleigh (Research Triangle Park), North Carolina or San Jose, California Meet the Team Join Cisco's Enterprise AI team, the core group enabling Generative AI powered experiences across Cisco. Our mission is to build secure, scalable AI platforms that empower teams to safely develop, deploy, and operationalize AI-powered solutions. We operate at the intersection of applied AI, cloud infrastructure and security - partnering across engineering, security, compliance, and product teams to bring trusted AI to life at enterprise scale. We are a fast-growing, highly collaborative team of platform engineers, AI engineers, and data scientists who value technical depth, ownership, and pragmatic execution. What makes this team exciting is the opportunity to define how secure Generative AI is built and governed inside a global technology leader. Your Impact Design and develop sophisticated agentic workflows leveraging state-of-the-art LLM models and emerging frameworks to automate complex reasoning tasks. Rapidly prototype new AI features, transforming research concepts into functional demos using AI-native tools such as Copilot, Cursor, and Claude Code. Evaluate and integrate the latest advancements in AI-including Autonomous and Deep Agents-to ensure our platform remains an industry leader. Collaborate across teams to validate research prototypes, ensuring alignment with Cisco's security and scalability standards. Accelerate AI", "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": "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/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" }, "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" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "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" }, "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" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 4, "years_experience_max": 11, "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": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.aaa53067d0e9c8dae1", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "ead7db4e63a74525743bed675a6268aa", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description matched \"cursor\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior AI Research & Agentic Engineer Hybrid 2 Locations The application window is expected to close on: 05/29/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This role is hybrid. Onsite 3 days per week in Raleigh (Research Triangle Park), North Carolina or San Jose, California Meet the Team Join Cisco's Enterprise AI team, the core group enabling Generative AI powered experiences across Cisco. Our mission is to build secure, scalable AI platforms that empower teams to safely develop, deploy, and operationalize AI-powered solutions. We operate at the intersection of applied AI, cloud infrastructure and security - partnering across engineering, security, compliance, and product teams to bring trusted AI to life at enterprise scale. We are a fast-growing, highly collaborative team of platform engineers, AI engineers, and data scientists who value technical depth, ownership, and pragmatic execution. What makes this team exciting is the opportunity to define how secure Generative AI is built and governed inside a global technology leader. Your Impact Design and develop sophisticated agentic workflows leveraging state-of-the-art LLM models and emerging frameworks to automate complex reasoning tasks. Rapidly prototype new AI features, transforming research concepts into functional demos using AI-native tools such as Copilot, Cursor, and Claude Code. Evaluate and integrate the latest advancements in AI-including Autonomous and Deep Agents-to ensure our platform remains an industry leader. Collaborate across teams to validate research prototypes, ensuring alignment with Cisco's security and scalability standards. Accelerate AI", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:ead7db4e63a74525743bed675a6268aa:description:cursor", "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.92d335b6e8e5b121f1", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "ead7db4e63a74525743bed675a6268aa", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description contains \"cursor\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior AI Research & Agentic Engineer Hybrid 2 Locations The application window is expected to close on: 05/29/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This role is hybrid. Onsite 3 days per week in Raleigh (Research Triangle Park), North Carolina or San Jose, California Meet the Team Join Cisco's Enterprise AI team, the core group enabling Generative AI powered experiences across Cisco. Our mission is to build secure, scalable AI platforms that empower teams to safely develop, deploy, and operationalize AI-powered solutions. We operate at the intersection of applied AI, cloud infrastructure and security - partnering across engineering, security, compliance, and product teams to bring trusted AI to life at enterprise scale. We are a fast-growing, highly collaborative team of platform engineers, AI engineers, and data scientists who value technical depth, ownership, and pragmatic execution. What makes this team exciting is the opportunity to define how secure Generative AI is built and governed inside a global technology leader. Your Impact Design and develop sophisticated agentic workflows leveraging state-of-the-art LLM models and emerging frameworks to automate complex reasoning tasks. Rapidly prototype new AI features, transforming research concepts into functional demos using AI-native tools such as Copilot, Cursor, and Claude Code. Evaluate and integrate the latest advancements in AI-including Autonomous and Deep Agents-to ensure our platform remains an industry leader. Collaborate across teams to validate research prototypes, ensuring alignment with Cisco's security and scalability standards. Accelerate AI", "matched_input": "cursor", "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.2b65c4e7fa1e9360c6", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "ead7db4e63a74525743bed675a6268aa", "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/San-Jose-California-US/Senior-AI-Research---Agentic-Engineer-Hybrid_2010107", "source_label": "Apply link", "source_date": "2026-08-17T02:59:13.328Z" } } ], "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": "2026-08-17T02:59:13.328Z", "apply_url_verification_status": "reachable_when_last_checked", "apply_url_verification_label": "Reachable when checked at 2026-08-17T02:59:13.328Z", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/San-Jose-California-US/Senior-AI-Research---Agentic-Engineer-Hybrid_2010107", "source_values": [ "rule:remote_status" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/San-Jose-California-US/Senior-AI-Research---Agentic-Engineer-Hybrid_2010107", "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/San-Jose-California-US/Senior-AI-Research---Agentic-Engineer-Hybrid_2010107", "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/San-Jose-California-US/Senior-AI-Research---Agentic-Engineer-Hybrid_2010107", "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/San-Jose-California-US/Senior-AI-Research---Agentic-Engineer-Hybrid_2010107", "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/San-Jose-California-US/Senior-AI-Research---Agentic-Engineer-Hybrid_2010107", "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/San-Jose-California-US/Senior-AI-Research---Agentic-Engineer-Hybrid_2010107", "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": "fbaaaa8161a8fb898b83d79dd3c6ce1d", "title": "Reinforcement Learning Systems", "employer_name": "Microsoft", "employer_slug": "microsoft", "location_text": "US", "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": "2025-12-08T23:15:35.000Z", "apply_url": "https://apply.careers.microsoft.com/careers/job/1970393556629400", "apply_url_verified": false, "ats": "microsoft_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Reinforcement Learning Systems US", "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/789019/000095017025100235/msft-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/789019/000095017025100235/msft-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": "operations", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "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.semantic.role_function.3f8b8452d3b03a6bc0", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "fbaaaa8161a8fb898b83d79dd3c6ce1d", "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": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:fbaaaa8161a8fb898b83d79dd3c6ce1d: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/789019/000095017025100235/msft-20250630.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/789019/000095017025100235/msft-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://apply.careers.microsoft.com/careers/job/1970393556629400", "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://apply.careers.microsoft.com/careers/job/1970393556629400", "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": "f321fa4e77a9465935373ab7765ba486", "title": "Embedded Software Engineer", "employer_name": "GE Aerospace", "employer_slug": "ge-aerospace", "location_text": "Cheltenham", "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": "2026-06-11T00:00:00.000Z", "apply_url": "https://geaerospace.wd5.myworkdayjobs.com/GE_ExternalSite/job/Cheltenham/Embedded-Software-Engineer_R5036118-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Embedded Software Engineer Cheltenham posted: Posted Yesterday", "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.geaerospace.com/sites/default/files/2025-sustainability-report.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 60, "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/40545/000004054526000008/ge-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:title_override", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/40545/000004054526000008/ge-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.geaerospace.com/sites/default/files/2025-sustainability-report.pdf", "db_column": "parental_leave_weeks", "source_url": "https://www.geaerospace.com/sites/default/files/2025-sustainability-report.pdf" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.geaerospace.com/sites/default/files/2025-sustainability-report.pdf", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.geaerospace.com/sites/default/files/2025-sustainability-report.pdf" } }, "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": "Defense", "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.semantic.role_function.59f27c10b670654e4e", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "f321fa4e77a9465935373ab7765ba486", "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": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:f321fa4e77a9465935373ab7765ba486: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/40545/000004054526000008/ge-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/40545/000004054526000008/ge-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://geaerospace.wd5.myworkdayjobs.com/GE_ExternalSite/job/Cheltenham/Embedded-Software-Engineer_R5036118-1", "source_values": [ "https://www.geaerospace.com/sites/default/files/2025-sustainability-report.pdf" ], "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://geaerospace.wd5.myworkdayjobs.com/GE_ExternalSite/job/Cheltenham/Embedded-Software-Engineer_R5036118-1", "source_values": [ "https://www.geaerospace.com/sites/default/files/2025-sustainability-report.pdf" ], "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://geaerospace.wd5.myworkdayjobs.com/GE_ExternalSite/job/Cheltenham/Embedded-Software-Engineer_R5036118-1", "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://geaerospace.wd5.myworkdayjobs.com/GE_ExternalSite/job/Cheltenham/Embedded-Software-Engineer_R5036118-1", "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": "68578015c92142e6ee961888163455a5", "title": "GTM Enablement Manager", "employer_name": "Tractian", "employer_slug": "tractian", "location_text": "São Paulo, SP", "country": "BR", "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", "generalcatalyst" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://jobs.lever.co/tractian/c05e6e5e-8100-4d4f-ae45-55ae3916c9e8", "apply_url_verified": false, "ats": "lever", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "GTM Enablement Manager São Paulo, SP Global GTM Operations Team At TRACTIAN, the GTM Engineering team is a global department that supports Tractian GTM teams across the US, Brazil, and Mexico. We are a foundational team that is building the systems and processes that support our GTM team and directly impact our customer experience. What You'll Do Within the GTM Engineering team, the sales enablement team provides sales leaders and reps with the learning materials, content, and resources to drive growth and success. Partnering with the sales team and broader enablement team, the sales enablement manager will develop and execute impactful, data-driven solutions for transforming the sales process. Success is measured by the overall business impact of these solutions and cross-functional collaboration. Responsibilities Requirements", "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" }, "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": "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": "bachelors", "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://jobs.lever.co/tractian/c05e6e5e-8100-4d4f-ae45-55ae3916c9e8", "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/tractian/c05e6e5e-8100-4d4f-ae45-55ae3916c9e8", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "e6730a722396d460b94f8e9a31496eda", "title": "OPERADOR DE PROCESSO DE PRODUÇÃO", "employer_name": "Jabil", "employer_slug": "jabil", "location_text": "Manaus", "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", "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": "2026-06-11T00:00:00.000Z", "apply_url": "https://jabil.wd5.myworkdayjobs.com/Jabil_Careers/job/Manaus/OPERADOR-DE-PROCESSO-DE-PRODUO_J2453877", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "OPERADOR DE PROCESSO DE PRODUÇÃO Manaus posted: Posted Yesterday", "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/898293/000162828025045293/jbl-20250831.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/898293/000162828025045293/jbl-20250831.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": "other", "role_function_source": "unknown", "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.semantic.role_function.4f6cb5a9b155a556e2", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "e6730a722396d460b94f8e9a31496eda", "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": "other", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:e6730a722396d460b94f8e9a31496eda: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/898293/000162828025045293/jbl-20250831.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/898293/000162828025045293/jbl-20250831.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://jabil.wd5.myworkdayjobs.com/Jabil_Careers/job/Manaus/OPERADOR-DE-PROCESSO-DE-PRODUO_J2453877", "source_values": [ "llm:greenfield:inv_371_postfix" ], "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": "84040a4c86183a694e597aab3fe18470", "title": "Senior Software Engineer", "employer_name": "Taboola", "employer_slug": "taboola", "location_text": "Tel Aviv, Israel", "country": "IL", "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": 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": "2026-02-05T09:41:18.000Z", "apply_url": "https://www.taboola.com/careers/job/7574404?gh_jid=7574404", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Software Engineer Tel Aviv, Israel Realize your potential by joining the leading performance-driven advertising company! As a Senior Software Engineer, you'll play a vital role in establishing one of Taboola's newest and strategic growth domains- empowering advertisers and partners to independently build, optimize, and scale their campaigns. Our Tech Stack: Java, JS, TS, Python, Reactive, Spark, Kafka, Hadoop, Cassandra, Vertica, ES, MySQL, Memcached, HDFS, Iceberg, BigQuery, Druid, Kusto, Docker, K8S, Linux, Prometheus, Grafana, Airflow… Gen AI: Cursor, Claude, GitHub Copilot, Langfuse and much more To thrive in this role, you'll need: - 5+ years of experience in Java, infrastructure development, and production-grade systems, with strong end-to-end ownership. - Strong big data expertise, including hands-on work with diverse databases, analytical thinking, and a passion for scaling challenges. - Proven technical leadership, with experience mentoring engineers and collaborating effectively across teams. Product- and business-driven mindset, with high self-learning abilities and confidence to dive into new domains. - High-impact execution, demonstrating adaptability, accountability, and the drive to deliver results in complex environments. Bonus points if you have: Proven experience building and scaling large-scale distributed systems, including Web/JavaScript technologies, Kafka, Docker, and Kubernetes.Strong background in big data platforms, with hands-on experience in NoSQL and distributed databases (Vertica, Cassandra, Elasticsearch, BigQuery), as well as Spark and HDFS. How you'll make an impact: - Design, develop, and address scalability challenges in our data pipeline and identity graph, ensuring efficient handling of high-throughput, high-performance systems - Have end to end ownership: Design, build, ship, measure 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" }, "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": "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": 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.40bff23ee9914d81cb", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "84040a4c86183a694e597aab3fe18470", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description matched \"cursor\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Software Engineer Tel Aviv, Israel Realize your potential by joining the leading performance-driven advertising company! As a Senior Software Engineer, you'll play a vital role in establishing one of Taboola's newest and strategic growth domains- empowering advertisers and partners to independently build, optimize, and scale their campaigns. Our Tech Stack: Java, JS, TS, Python, Reactive, Spark, Kafka, Hadoop, Cassandra, Vertica, ES, MySQL, Memcached, HDFS, Iceberg, BigQuery, Druid, Kusto, Docker, K8S, Linux, Prometheus, Grafana, Airflow… Gen AI: Cursor, Claude, GitHub Copilot, Langfuse and much more To thrive in this role, you'll need: - 5+ years of experience in Java, infrastructure development, and production-grade systems, with strong end-to-end ownership. - Strong big data expertise, including hands-on work with diverse databases, analytical thinking, and a passion for scaling challenges. - Proven technical leadership, with experience mentoring engineers and collaborating effectively across teams. Product- and business-driven mindset, with high self-learning abilities and confidence to dive into new domains. - High-impact execution, demonstrating adaptability, accountability, and the drive to deliver results in complex environments. Bonus points if you have: Proven experience building and scaling large-scale distributed systems, including Web/JavaScript technologies, Kafka, Docker, and Kubernetes.Strong background in big data platforms, with hands-on experience in NoSQL and distributed databases (Vertica, Cassandra, Elasticsearch, BigQuery), as well as Spark and HDFS. How you'll make an impact: - Design, develop, and address scalability challenges in our data pipeline and identity graph, ensuring efficient handling of high-throughput, high-performance systems - Have end to end ownership: Design, build, ship, measure and", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:84040a4c86183a694e597aab3fe18470:description:cursor", "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.c64d49125f2f338e37", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "84040a4c86183a694e597aab3fe18470", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description contains \"cursor\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Software Engineer Tel Aviv, Israel Realize your potential by joining the leading performance-driven advertising company! As a Senior Software Engineer, you'll play a vital role in establishing one of Taboola's newest and strategic growth domains- empowering advertisers and partners to independently build, optimize, and scale their campaigns. Our Tech Stack: Java, JS, TS, Python, Reactive, Spark, Kafka, Hadoop, Cassandra, Vertica, ES, MySQL, Memcached, HDFS, Iceberg, BigQuery, Druid, Kusto, Docker, K8S, Linux, Prometheus, Grafana, Airflow… Gen AI: Cursor, Claude, GitHub Copilot, Langfuse and much more To thrive in this role, you'll need: - 5+ years of experience in Java, infrastructure development, and production-grade systems, with strong end-to-end ownership. - Strong big data expertise, including hands-on work with diverse databases, analytical thinking, and a passion for scaling challenges. - Proven technical leadership, with experience mentoring engineers and collaborating effectively across teams. Product- and business-driven mindset, with high self-learning abilities and confidence to dive into new domains. - High-impact execution, demonstrating adaptability, accountability, and the drive to deliver results in complex environments. Bonus points if you have: Proven experience building and scaling large-scale distributed systems, including Web/JavaScript technologies, Kafka, Docker, and Kubernetes.Strong background in big data platforms, with hands-on experience in NoSQL and distributed databases (Vertica, Cassandra, Elasticsearch, BigQuery), as well as Spark and HDFS. How you'll make an impact: - Design, develop, and address scalability challenges in our data pipeline and identity graph, ensuring efficient handling of high-throughput, high-performance systems - Have end to end ownership: Design, build, ship, measure and", "matched_input": "cursor", "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://www.taboola.com/careers/job/7574404?gh_jid=7574404", "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.taboola.com/careers/job/7574404?gh_jid=7574404", "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://www.taboola.com/careers/job/7574404?gh_jid=7574404", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "0aca8cfe49e4add463048dbcaefe777c", "title": "Computer Scientist 2 (C++)", "employer_name": "Adobe Inc.", "employer_slug": "adobe", "location_text": "Noida", "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": 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/Noida/Computer-Scientist-2--C---_R165616-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Computer Scientist 2 (C++) Noida 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": "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.semantic.role_function.a4fd04fe1853d7c393", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "0aca8cfe49e4add463048dbcaefe777c", "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": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:0aca8cfe49e4add463048dbcaefe777c: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/Noida/Computer-Scientist-2--C---_R165616-1", "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/Noida/Computer-Scientist-2--C---_R165616-1", "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/Noida/Computer-Scientist-2--C---_R165616-1", "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/Noida/Computer-Scientist-2--C---_R165616-1", "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": "df8c0401f52fdca98ac2822b38162b78", "title": "Partner Engineer - Technology Partnerships", "employer_name": "SonarSource", "employer_slug": "sonarsource", "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": 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": [ "cbinsights_unicorn" ], "posted_at": "2026-04-01T17:22:03.817Z", "apply_url": "https://jobs.lever.co/sonarsource/a949ca86-04b4-4998-9397-53eca8324119", "apply_url_verified": false, "ats": "lever", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Partner Engineer - Technology Partnerships San Francisco, CA Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world's leading AI code review and verification platform. SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE: Committed to our customers and community. Obsessed with quality. Deliberate in our decisions. Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you're hungry to have an impact, want to build at a fast pace, 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" }, "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": "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": "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.description_excerpt.0d80e7ceb2a7f40bc4", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "df8c0401f52fdca98ac2822b38162b78", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description matched \"cursor\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Partner Engineer - Technology Partnerships San Francisco, CA Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world's leading AI code review and verification platform. SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE: Committed to our customers and community. Obsessed with quality. Deliberate in our decisions. Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you're hungry to have an impact, want to build at a fast pace, and", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:df8c0401f52fdca98ac2822b38162b78:description:cursor", "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.2554109c83ac60225f", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "df8c0401f52fdca98ac2822b38162b78", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description contains \"cursor\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Partner Engineer - Technology Partnerships San Francisco, CA Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world's leading AI code review and verification platform. SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE: Committed to our customers and community. Obsessed with quality. Deliberate in our decisions. Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you're hungry to have an impact, want to build at a fast pace, and", "matched_input": "cursor", "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": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/sonarsource/a949ca86-04b4-4998-9397-53eca8324119", "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/sonarsource/a949ca86-04b4-4998-9397-53eca8324119", "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/sonarsource/a949ca86-04b4-4998-9397-53eca8324119", "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/sonarsource/a949ca86-04b4-4998-9397-53eca8324119", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "989dc2d8720a503cb01fce04cadb18c8", "title": "End User Account Manager", "employer_name": "Hewlett-Packard", "employer_slug": "hewlett-packard", "location_text": "Belgrade, Beograd, Serbia", "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", "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/42033336", "apply_url_verified": false, "ats": "eightfold", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "End User Account Manager Belgrade, Beograd, Serbia", "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": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "sales", "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.semantic.role_function.ffece7b7e24aaaa9a2", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "989dc2d8720a503cb01fce04cadb18c8", "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": "sales", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:989dc2d8720a503cb01fce04cadb18c8: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/42033336", "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/42033336", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "186d9d075b064a186ee2dc8e70b56c27", "title": "Platform Operations Engineer (Site Reliability Engineer)", "employer_name": "Vertiv", "employer_slug": "vertiv", "location_text": "Westerville, OH, 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": 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/20274621", "apply_url_verified": false, "ats": "oracle_recruiting_cloud", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Platform Operations Engineer (Site Reliability Engineer) Westerville, OH, United States Vertiv is seeking a skilled Platform Operations Engineer (Site Reliability Engineer) to serve as the owner of cross-platform observability, incident management, and operational reliability within Vertiv's Digital organization. This individual contributor role is responsible for designing, implementing, and continuously improving monitoring and alerting solutions across Vertiv's digital platform ecosystem - including Compass AI, Writer AI, Site Scope, UiPath, Workato, Cursor, and other approved enterprise tools - while owning incident response processes, SLA management, and operational governance. The Platform Operations / SRE will operate within the Digital organization and play a central role in advancing Vertiv's Operational Excellence strategic priority by ensuring the availability, performance, and resilience of platforms that power critical digital workflows and business functions.", "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:title_override", "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:title_override", "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.9191dc3b1311c08cb9", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "186d9d075b064a186ee2dc8e70b56c27", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description matched \"cursor\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Platform Operations Engineer (Site Reliability Engineer) Westerville, OH, United States Vertiv is seeking a skilled Platform Operations Engineer (Site Reliability Engineer) to serve as the owner of cross-platform observability, incident management, and operational reliability within Vertiv's Digital organization. This individual contributor role is responsible for designing, implementing, and continuously improving monitoring and alerting solutions across Vertiv's digital platform ecosystem - including Compass AI, Writer AI, Site Scope, UiPath, Workato, Cursor, and other approved enterprise tools - while owning incident response processes, SLA management, and operational governance. The Platform Operations / SRE will operate within the Digital organization and play a central role in advancing Vertiv's Operational Excellence strategic priority by ensuring the availability, performance, and resilience of platforms that power critical digital workflows and business functions.", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:186d9d075b064a186ee2dc8e70b56c27:description:cursor", "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.f7a8c7d7ba1b64be80", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "186d9d075b064a186ee2dc8e70b56c27", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description contains \"cursor\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Platform Operations Engineer (Site Reliability Engineer) Westerville, OH, United States Vertiv is seeking a skilled Platform Operations Engineer (Site Reliability Engineer) to serve as the owner of cross-platform observability, incident management, and operational reliability within Vertiv's Digital organization. This individual contributor role is responsible for designing, implementing, and continuously improving monitoring and alerting solutions across Vertiv's digital platform ecosystem - including Compass AI, Writer AI, Site Scope, UiPath, Workato, Cursor, and other approved enterprise tools - while owning incident response processes, SLA management, and operational governance. The Platform Operations / SRE will operate within the Digital organization and play a central role in advancing Vertiv's Operational Excellence strategic priority by ensuring the availability, performance, and resilience of platforms that power critical digital workflows and business functions.", "matched_input": "cursor", "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/20274621", "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/20274621", "source_values": [ "rule:title_override" ], "checked_at": null } } }, { "id": "c15fb3bfa5dd0ef314c6caf1e83a4687", "title": "Client Onboarding Intermediate Analyst", "employer_name": "Citigroup Inc.", "employer_slug": "citigroup", "location_text": "WARSAW, Poland", "country": "PL", "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", "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://citi.eightfold.ai/careers/job/859034428916", "apply_url_verified": false, "ats": "eightfold", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Client Onboarding Intermediate Analyst WARSAW, Poland", "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/831001/000083100126000011/c-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/831001/000083100126000011/c-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": "other", "role_function_source": "unknown", "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.semantic.role_function.eb27d0a4d53b8a874d", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "c15fb3bfa5dd0ef314c6caf1e83a4687", "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": "other", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:c15fb3bfa5dd0ef314c6caf1e83a4687: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/831001/000083100126000011/c-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/831001/000083100126000011/c-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://citi.eightfold.ai/careers/job/859034428916", "source_values": [ "llm:greenfield:inv_371_postfix" ], "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": "bc8d87569ffd492dc3429a885f26ab8c", "title": "Director, Fleet AI Engineering", "employer_name": "Hertz Global Hldgs INC", "employer_slug": "hertz-global-hldgs", "location_text": "Atlanta, GA, 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": 130000, "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": "year", "base_salary_min": 130000, "base_salary_max": null, "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": [], "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": true, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": true, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-04-01T00:00:00.000Z", "apply_url": "https://fa-evlf-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/34533", "apply_url_verified": true, "ats": "oraclecloud", "url_last_checked_alive": "2026-08-17T02:59:13.328Z", "removed_at": null, "description_excerpt": "Director, Fleet AI Engineering Atlanta, GA, United States A Day in the Life: The Director, Fleet AI Engineering will define, build, and scale AI/ML solutions that drive significant business impact. You'll serve as a hands-on technical leader (player/coach), operating as a key individual contributor while leading a small team and partnering closely across product, data science, and engineering. This role requires strong technical understanding of modern AI systems (including how to debug and validate them) and a bias toward leveraging AI-assisted development workflows to accelerate delivery-especially for simulation-based optimization and real-time decisioning problems. The preferred candidate will sit at our corporate office in Atlanta, however, we are open to candidates located outside of the area to work remotely. The target starting rate is $130K; actual salary will be determined based on experience. What You'll Do: Solution Delivery: Own the end-to-end ML system lifecycle-from problem framing and offline evaluation to production deployment with observability, drift monitoring, controlled rollouts, and iteration based on real-world performance. Simulation-Based Decisioning: Develop simulation environments to train and evaluate sequential decision-making methods (including reinforcement learning where appropriate), focusing on simulator fidelity, reward design, offline/online evaluation, and safe real-time deployment. AI-Native Engineering: Build an AI-assisted development workflow (prompting and code-review standards, automated testing, documentation) and drive adoption across the team (e.g., Claude Code, Cursor, GitHub Copilot, Databricks Genie). Architectural Guidance: Design and scale production AI systems (data pipelines, model training/serving, feature and experiment infrastructure), balancing latency, reliability, cost, and integration into existing platforms. Cross-functional Collaboration: Translate business goals", "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": "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": { "field": "k401_match", "source": "llm:greenfield:inv_371_postfix", "db_column": "k401_match" }, "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/1657853/000165785326000008/htz-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_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1657853/000165785326000008/htz-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" }, "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_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" }, "learning_budget_offered": { "field": "learning_budget_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "learning_budget_offered" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" } }, "seniority": "director_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": "source_sector", "employer_size": "5000+", "quality_score": 55, "travel_pct": 40, "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.75a52244e9d3d4f355", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "bc8d87569ffd492dc3429a885f26ab8c", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description matched \"cursor\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Director, Fleet AI Engineering Atlanta, GA, United States A Day in the Life: The Director, Fleet AI Engineering will define, build, and scale AI/ML solutions that drive significant business impact. You'll serve as a hands-on technical leader (player/coach), operating as a key individual contributor while leading a small team and partnering closely across product, data science, and engineering. This role requires strong technical understanding of modern AI systems (including how to debug and validate them) and a bias toward leveraging AI-assisted development workflows to accelerate delivery-especially for simulation-based optimization and real-time decisioning problems. The preferred candidate will sit at our corporate office in Atlanta, however, we are open to candidates located outside of the area to work remotely. The target starting rate is $130K; actual salary will be determined based on experience. What You'll Do: Solution Delivery: Own the end-to-end ML system lifecycle-from problem framing and offline evaluation to production deployment with observability, drift monitoring, controlled rollouts, and iteration based on real-world performance. Simulation-Based Decisioning: Develop simulation environments to train and evaluate sequential decision-making methods (including reinforcement learning where appropriate), focusing on simulator fidelity, reward design, offline/online evaluation, and safe real-time deployment. AI-Native Engineering: Build an AI-assisted development workflow (prompting and code-review standards, automated testing, documentation) and drive adoption across the team (e.g., Claude Code, Cursor, GitHub Copilot, Databricks Genie). Architectural Guidance: Design and scale production AI systems (data pipelines, model training/serving, feature and experiment infrastructure), balancing latency, reliability, cost, and integration into existing platforms. Cross-functional Collaboration: Translate business goals", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:bc8d87569ffd492dc3429a885f26ab8c:description:cursor", "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.7251eaa0f39eb31a88", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "bc8d87569ffd492dc3429a885f26ab8c", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description contains \"cursor\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Director, Fleet AI Engineering Atlanta, GA, United States A Day in the Life: The Director, Fleet AI Engineering will define, build, and scale AI/ML solutions that drive significant business impact. You'll serve as a hands-on technical leader (player/coach), operating as a key individual contributor while leading a small team and partnering closely across product, data science, and engineering. This role requires strong technical understanding of modern AI systems (including how to debug and validate them) and a bias toward leveraging AI-assisted development workflows to accelerate delivery-especially for simulation-based optimization and real-time decisioning problems. The preferred candidate will sit at our corporate office in Atlanta, however, we are open to candidates located outside of the area to work remotely. The target starting rate is $130K; actual salary will be determined based on experience. What You'll Do: Solution Delivery: Own the end-to-end ML system lifecycle-from problem framing and offline evaluation to production deployment with observability, drift monitoring, controlled rollouts, and iteration based on real-world performance. Simulation-Based Decisioning: Develop simulation environments to train and evaluate sequential decision-making methods (including reinforcement learning where appropriate), focusing on simulator fidelity, reward design, offline/online evaluation, and safe real-time deployment. AI-Native Engineering: Build an AI-assisted development workflow (prompting and code-review standards, automated testing, documentation) and drive adoption across the team (e.g., Claude Code, Cursor, GitHub Copilot, Databricks Genie). Architectural Guidance: Design and scale production AI systems (data pipelines, model training/serving, feature and experiment infrastructure), balancing latency, reliability, cost, and integration into existing platforms. Cross-functional Collaboration: Translate business goals", "matched_input": "cursor", "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.c09a03c74dde929f11", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "bc8d87569ffd492dc3429a885f26ab8c", "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://fa-evlf-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/34533", "source_label": "Apply link", "source_date": "2026-08-17T02:59:13.328Z" } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": "2026-08-17T02:59:13.328Z", "apply_url_verification_status": "reachable_when_last_checked", "apply_url_verification_label": "Reachable when checked at 2026-08-17T02:59:13.328Z", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://fa-evlf-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/34533", "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://fa-evlf-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/34533", "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/1657853/000165785326000008/htz-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1657853/000165785326000008/htz-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://fa-evlf-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/34533", "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://fa-evlf-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/34533", "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://fa-evlf-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/34533", "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://fa-evlf-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/34533", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "adoption_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://fa-evlf-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/34533", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "learning_budget_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://fa-evlf-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/34533", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "3e3979a82512a28c97bb5a6d2a4009f9", "title": "Senior C++/CUDA Software Engineer", "employer_name": "Applied Materials", "employer_slug": "applied-materials", "location_text": "Rehovot,ISR", "country": "IL", "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://amat.wd1.myworkdayjobs.com/External/job/RehovotISR/Senior-C---CUDA-Software-Engineer_R2517785", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior C++/CUDA Software Engineer Rehovot,ISR 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/6951/000162828025056742/amat-20251026.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/6951/000162828025056742/amat-20251026.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": "engineering", "role_function_source": "rule:title_override", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "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.semantic.role_function.4ecb97b7435a7145e4", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "3e3979a82512a28c97bb5a6d2a4009f9", "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": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:3e3979a82512a28c97bb5a6d2a4009f9: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/6951/000162828025056742/amat-20251026.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/6951/000162828025056742/amat-20251026.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://amat.wd1.myworkdayjobs.com/External/job/RehovotISR/Senior-C---CUDA-Software-Engineer_R2517785", "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://amat.wd1.myworkdayjobs.com/External/job/RehovotISR/Senior-C---CUDA-Software-Engineer_R2517785", "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": "ec0aaa95ec31dee6729dc425a7b2a65e", "title": "Project Manager – AI & Process Automation (w/m/d)", "employer_name": "Enpal", "employer_slug": "enpal", "location_text": "Berlin, Germany", "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": 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": "2026-06-04T13:52:53.957Z", "apply_url": "https://jobs.ashbyhq.com/enpal/d8fe4391-7176-46c6-ad5d-e049c6283b4c", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Project Manager – AI & Process Automation (w/m/d) Berlin, Germany Unser Ziel ist eine Solaranlage auf jedem Dach, ein Speicher in jedem Haus und ein E-Auto in jeder Garage. Enpal macht das möglich mit einer integrierten Gesamtlösung für dezentrale Energie - von Solaranlage und Batteriespeicher über Wallbox, Smart Meter bis zur Wärmepumpe. Herzstück ist unsere KI-gestützte Plattform Enpal.One +, die tausende Systeme intelligent vernetzt und Strombezug sowie -einspeisung effizient am Energiemarkt optimiert. metrify ist die Smart-Metering-Unit von Enpal und die digitale Infrastruktur für ein intelligentes Energie-Ökosystem. Mit zehntausenden installierten iMSys und skalierbaren Prozessen machen wir Energie messbar, steuerbar und wirtschaftlich nutzbar - und schaffen gemeinsam mit Partnern die Basis für neue Geschäftsmodelle der Energiewende. Deine Aufgaben - Du übernimmst Ownership für geschäftskritische Prozesse und Systeme rund um unser Portfoliomanagement und unsere Abrechnung - und entwickelst sie kontinuierlich weiter. - Du arbeitest an der Schnittstelle von Business, Operations und Tech und bringst neue Anforderungen gemeinsam mit internen Teams und externen Partnern schnell in die Umsetzung. - Du nutzt moderne AI- und Developer-Tools (z. B. Cursor), SQL, Python oder Automatisierungen, um Prozesse schneller, robuster und skalierbarer zu machen. - Du analysierst Datenflüsse und technische Prozesse, identifizierst Fehlerquellen und sorgst dafür, dass unsere Systeme zuverlässig und sauber funktionieren. - Du ownst abrechnungsrelevante Daten und Datenmodelle und ermöglichst transparentes Reporting sowie belastbare Entscheidungen. - Du setzt nicht nur Anforderungen auf PowerPoints um, sondern bringst Lösungen pragmatisch selbst live - von Analysen über Automatisierungen bis hin zu technischen Verbesserungen. - Du koordinierst interne und externe", "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" }, "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" } }, "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": "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.description_excerpt.8f12ad48605b8a6975", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "ec0aaa95ec31dee6729dc425a7b2a65e", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description matched \"cursor\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Project Manager – AI & Process Automation (w/m/d) Berlin, Germany Unser Ziel ist eine Solaranlage auf jedem Dach, ein Speicher in jedem Haus und ein E-Auto in jeder Garage. Enpal macht das möglich mit einer integrierten Gesamtlösung für dezentrale Energie - von Solaranlage und Batteriespeicher über Wallbox, Smart Meter bis zur Wärmepumpe. Herzstück ist unsere KI-gestützte Plattform Enpal.One +, die tausende Systeme intelligent vernetzt und Strombezug sowie -einspeisung effizient am Energiemarkt optimiert. metrify ist die Smart-Metering-Unit von Enpal und die digitale Infrastruktur für ein intelligentes Energie-Ökosystem. Mit zehntausenden installierten iMSys und skalierbaren Prozessen machen wir Energie messbar, steuerbar und wirtschaftlich nutzbar - und schaffen gemeinsam mit Partnern die Basis für neue Geschäftsmodelle der Energiewende. Deine Aufgaben - Du übernimmst Ownership für geschäftskritische Prozesse und Systeme rund um unser Portfoliomanagement und unsere Abrechnung - und entwickelst sie kontinuierlich weiter. - Du arbeitest an der Schnittstelle von Business, Operations und Tech und bringst neue Anforderungen gemeinsam mit internen Teams und externen Partnern schnell in die Umsetzung. - Du nutzt moderne AI- und Developer-Tools (z. B. Cursor), SQL, Python oder Automatisierungen, um Prozesse schneller, robuster und skalierbarer zu machen. - Du analysierst Datenflüsse und technische Prozesse, identifizierst Fehlerquellen und sorgst dafür, dass unsere Systeme zuverlässig und sauber funktionieren. - Du ownst abrechnungsrelevante Daten und Datenmodelle und ermöglichst transparentes Reporting sowie belastbare Entscheidungen. - Du setzt nicht nur Anforderungen auf PowerPoints um, sondern bringst Lösungen pragmatisch selbst live - von Analysen über Automatisierungen bis hin zu technischen Verbesserungen. - Du koordinierst interne und externe", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:ec0aaa95ec31dee6729dc425a7b2a65e:description:cursor", "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.e3fdef06574ce33981", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "ec0aaa95ec31dee6729dc425a7b2a65e", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description contains \"cursor\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Project Manager – AI & Process Automation (w/m/d) Berlin, Germany Unser Ziel ist eine Solaranlage auf jedem Dach, ein Speicher in jedem Haus und ein E-Auto in jeder Garage. Enpal macht das möglich mit einer integrierten Gesamtlösung für dezentrale Energie - von Solaranlage und Batteriespeicher über Wallbox, Smart Meter bis zur Wärmepumpe. Herzstück ist unsere KI-gestützte Plattform Enpal.One +, die tausende Systeme intelligent vernetzt und Strombezug sowie -einspeisung effizient am Energiemarkt optimiert. metrify ist die Smart-Metering-Unit von Enpal und die digitale Infrastruktur für ein intelligentes Energie-Ökosystem. Mit zehntausenden installierten iMSys und skalierbaren Prozessen machen wir Energie messbar, steuerbar und wirtschaftlich nutzbar - und schaffen gemeinsam mit Partnern die Basis für neue Geschäftsmodelle der Energiewende. Deine Aufgaben - Du übernimmst Ownership für geschäftskritische Prozesse und Systeme rund um unser Portfoliomanagement und unsere Abrechnung - und entwickelst sie kontinuierlich weiter. - Du arbeitest an der Schnittstelle von Business, Operations und Tech und bringst neue Anforderungen gemeinsam mit internen Teams und externen Partnern schnell in die Umsetzung. - Du nutzt moderne AI- und Developer-Tools (z. B. Cursor), SQL, Python oder Automatisierungen, um Prozesse schneller, robuster und skalierbarer zu machen. - Du analysierst Datenflüsse und technische Prozesse, identifizierst Fehlerquellen und sorgst dafür, dass unsere Systeme zuverlässig und sauber funktionieren. - Du ownst abrechnungsrelevante Daten und Datenmodelle und ermöglichst transparentes Reporting sowie belastbare Entscheidungen. - Du setzt nicht nur Anforderungen auf PowerPoints um, sondern bringst Lösungen pragmatisch selbst live - von Analysen über Automatisierungen bis hin zu technischen Verbesserungen. - Du koordinierst interne und externe", "matched_input": "cursor", "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/enpal/d8fe4391-7176-46c6-ad5d-e049c6283b4c", "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/enpal/d8fe4391-7176-46c6-ad5d-e049c6283b4c", "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/enpal/d8fe4391-7176-46c6-ad5d-e049c6283b4c", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "7fb7bef2cb31089ec55f1fb4cbe36515", "title": "Senior Solution Architect", "employer_name": "Box Inc", "employer_slug": "box", "location_text": "Tokyo, 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": 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": "2026-05-14T07:39:46.000Z", "apply_url": "https://job-boards.greenhouse.io/boxinc/jobs/7918004", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Solution Architect Tokyo, Japan WHAT IS BOX? Box(NYSE: BOX)はインテリジェントコンテンツ管理（ICM）プラットフォームのリーディングカンパニーです。Boxのプラットフォームは、企業のコラボレーション促進や、コンテンツのライフサイクル全体の管理、重要なコンテンツの保護、そしてエンタープライズAIによるビジネスワークフローの変革を実現することを目指しています。2005年に米国で設立され、JLL、モルガン・スタンレーなどを含む大手グローバル企業や、日本では22,000社以上および日経225の85%の企業の業務効率化を支援しています。 Boxは、カリフォルニア州レッドウッドシティーに本社を置き、米国、ヨーロッパ、アジアに拠点を持っています。株式会社Box Japanは2013年に設立された日本法人です。 Boxでは、重要なコンテンツを扱うプラットフォームをさらに推進し、お客様の働き方に大きな変革を提供する、またとない機会があります。コンテンツは私達の業務の中心にあります。契約書、請求書、社員情報、財務情報、製品仕様、マーケティング資産などの部署間に跨る重要なビジネス・プロセスに含まれる数十億ものファイルや情報が日々流れています。私達のミッションは、コンテンツ管理にインテリジェンスをもたらし、お客様がデジタル・トランスフォーメーションを実現するお手伝いをさせていただくことです。このAIと膨大な業務コンテンツの融合による、大規模な働き方の変革期に、そのビジネスの最前線に貢献することが、Boxではできます。 WHY BOX NEEDS YOU Box JapanのSolution Architectは、単なる技術支援の役割ではありません。お客様の業務変革を構想し、Box PlatformやAPI連携、さらに生成AIを活用した新しい業務アプリケーションのあり方を描き、実現までリードするポジションです。 今回の募集では、生成AI時代が到来した中、より高いシナジーを生み出せる方を求めています。技術に強いだけでも、顧客対応が得意なだけでも十分ではありません。これからの時代に必要なのは、エンタープライズのお客様と向き合いながら、複雑な要件を整理し、実現可能なアーキテクチャへ落とし込み、周囲を巻き込みながら前に進められる人材です。 Box AIを含む生成AIソリューションの進化によって、アプリケーション開発のあり方は大きく変わりつつあります。だからこそ私たちは、単にコードを書くのではなく、AI時代にふさわしい業務設計力、技術選定力、そしてお客様に新しい価値やビジョンを提示できる力を持つSolution Architectを必要としています。 この役割では、Box Consulting Teamの一員としてBox Platform案件のプリセールスから導入・実装まで一気通貫で関わり、API連携案件のデリバリーや汎用的なソリューション開発にも携わります。さらに、社内外の多様なステークホルダーと協業しながら、お客様の変革を技術面・構想面の両方から支えることが期待されます。 「技術を武器にしながら、顧客に深く入り込み、次の時代の業務変革を形にしたい」--そんな方にとって、大きな裁量と影響力を持って挑戦できるポジションです。 Box Platformとは Box Platformは、Boxが提供する一連のツールとAPIです。開発者はこれを使用して、Boxのクラウドコンテンツ管理システムの機能を独自のアプリケーションやサービスに統合し、カスタマイズすることができます。企業や開発者は、データとアクセス権限の制御を維持しながらファイルストレージ、共有、コラボレーションなどの機能を利用して、安全かつ拡張性の高いコンテンツ中心のアプリケーションを構築できます。Box Platformを使用することで、開発者は、生産性の向上とコンテンツ管理ワークフローの効率化を実現する独自のソリューションを作成できます。 WHAT YOU'LL DO - エンタープライズ顧客の課題や構想を深くヒアリングし、業務要件・システム要件・非機能要件を整理したうえで、最適なソリューションを提案する - Box Platform案件において、プリセールスから要件定義、設計、実装、導入・定着化までを一貫してリードする - Boxと他社SaaS、各種クラウドサービス、APIを組み合わせた業務アプリケーションのソリューションアーキテクチャを設計・実装する - Box AIや生成AIを活用した新たなユースケースを構想し、顧客価値につながる形で提案・具体化する - セキュリティ、認証、暗号化、テスト設計など、エンタープライズ開発に必要な観点を踏まえて高品質なソリューションを実現する - お客様との折衝を通じて、単なる機能提案にとどまらず、業務変革につながるソリューション全体像や実現ロードマップを描く - 開発手法のベストプラクティスを活かし、ウォーターフォール・アジャイルなど案件特性に応じた進め方を設計する - 顧客やパートナー、社内の営業・コンサルティング・技術メンバーと連携し、プロジェクトを前進させる - 技術的な実装だけでなく、周囲に影響を与えながら、顧客体験の向上とプロジェクト成果の最大化に貢献する - プロジェクトから得た知見やユースケースを汎用化し、再利用可能なソリューションとして価値を社内外に広げる - Box社のビジョンを技術トレンドを踏まえて描いたブループリントやデモアプリケーションを社内外で発信する ＜主な開発環境＞ 言語：JavaScript / TypeScript、Java、C#、Python フレームワーク：Next.js、React.js、Vue.js プラットフォーム・その他：Vercel、Supabase、Heroku、Salesforce、MS Power Platform、ServiceNow、AWS、Azure、GCP、Docker 開発ツール：Cursor、Claude Code ※上記に限らず、プロダクト・ソリューション起点で最適な技術を選定し、開発に取り組んでいます。 Box ではコミュニティと対面でのコラボレーションを重要視していてます。Box の社員（Boxers）は、少なくとも毎週3日間以上はオフィスで勤務することが求められます。選考プロセスの中で、リクルーターが働き方や企業文化についてさらに詳しくご説明します。 WHO YOU ARE - エンタープライズ領域におけるアプリケーション開発またはシステム設計の実務経験を有し、要件定義から設計・実装・テスト・リリースまでを主体的に推進できる方 - 顧客折衝の経験があり、要望をそのまま受け取るのではなく、本質的な課題を整理し、実現可能な提案へ落とし込める方 - 大規模開発やエンタープライズアプリケーションに必要な設計観点を理解し、非機能要件・セキュリティ・認証・暗号化・テスト設計などを実務で扱った経験をお持ちの方 - 特定の言語や実装スタイルに閉じず、AIを含む新しい技術も活用しながら、現実的で価値あるソリューションを形にできる方 - ウォーターフォールやアジャイルなどの開発方法論を理解し、案件特性に応じて適切に使い分けられる方 - 社内外の関係者を巻き込みながらプロジェクトを前進させる推進力・発信力・影響力をお持ちの方 - 日本語で円滑に顧客対応・提案ができ、英語でも読み書きに抵抗がない方 - 他ソリューションも含めた全体構想や将来像を描き、お客様に提示することにやりがいを感じ、AI時代の変化を前向きに捉えて学び続けられる方 - 私たちは「AIファースト」の企業です。すなわち、常に成長マインドセットを持ちながら仕事に取り組み、AIを活用し、より迅速かつ適切な意思決定を行い、インパクトを高める方法を見つけていくことが求められます。 EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. For details on how we protect your information when you apply, please see our Personnel Privacy Notice.", "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/1372612/000119312526098466/box-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/1372612/000119312526098466/box-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" } }, "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": "Technology", "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.1101d99e48df665dfa", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "7fb7bef2cb31089ec55f1fb4cbe36515", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description matched \"cursor\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Solution Architect Tokyo, Japan WHAT IS BOX? Box(NYSE: BOX)はインテリジェントコンテンツ管理（ICM）プラットフォームのリーディングカンパニーです。Boxのプラットフォームは、企業のコラボレーション促進や、コンテンツのライフサイクル全体の管理、重要なコンテンツの保護、そしてエンタープライズAIによるビジネスワークフローの変革を実現することを目指しています。2005年に米国で設立され、JLL、モルガン・スタンレーなどを含む大手グローバル企業や、日本では22,000社以上および日経225の85%の企業の業務効率化を支援しています。 Boxは、カリフォルニア州レッドウッドシティーに本社を置き、米国、ヨーロッパ、アジアに拠点を持っています。株式会社Box Japanは2013年に設立された日本法人です。 Boxでは、重要なコンテンツを扱うプラットフォームをさらに推進し、お客様の働き方に大きな変革を提供する、またとない機会があります。コンテンツは私達の業務の中心にあります。契約書、請求書、社員情報、財務情報、製品仕様、マーケティング資産などの部署間に跨る重要なビジネス・プロセスに含まれる数十億ものファイルや情報が日々流れています。私達のミッションは、コンテンツ管理にインテリジェンスをもたらし、お客様がデジタル・トランスフォーメーションを実現するお手伝いをさせていただくことです。このAIと膨大な業務コンテンツの融合による、大規模な働き方の変革期に、そのビジネスの最前線に貢献することが、Boxではできます。 WHY BOX NEEDS YOU Box JapanのSolution Architectは、単なる技術支援の役割ではありません。お客様の業務変革を構想し、Box PlatformやAPI連携、さらに生成AIを活用した新しい業務アプリケーションのあり方を描き、実現までリードするポジションです。 今回の募集では、生成AI時代が到来した中、より高いシナジーを生み出せる方を求めています。技術に強いだけでも、顧客対応が得意なだけでも十分ではありません。これからの時代に必要なのは、エンタープライズのお客様と向き合いながら、複雑な要件を整理し、実現可能なアーキテクチャへ落とし込み、周囲を巻き込みながら前に進められる人材です。 Box AIを含む生成AIソリューションの進化によって、アプリケーション開発のあり方は大きく変わりつつあります。だからこそ私たちは、単にコードを書くのではなく、AI時代にふさわしい業務設計力、技術選定力、そしてお客様に新しい価値やビジョンを提示できる力を持つSolution Architectを必要としています。 この役割では、Box Consulting Teamの一員としてBox Platform案件のプリセールスから導入・実装まで一気通貫で関わり、API連携案件のデリバリーや汎用的なソリューション開発にも携わります。さらに、社内外の多様なステークホルダーと協業しながら、お客様の変革を技術面・構想面の両方から支えることが期待されます。 「技術を武器にしながら、顧客に深く入り込み、次の時代の業務変革を形にしたい」--そんな方にとって、大きな裁量と影響力を持って挑戦できるポジションです。 Box Platformとは Box Platformは、Boxが提供する一連のツールとAPIです。開発者はこれを使用して、Boxのクラウドコンテンツ管理システムの機能を独自のアプリケーションやサービスに統合し、カスタマイズすることができます。企業や開発者は、データとアクセス権限の制御を維持しながらファイルストレージ、共有、コラボレーションなどの機能を利用して、安全かつ拡張性の高いコンテンツ中心のアプリケーションを構築できます。Box Platformを使用することで、開発者は、生産性の向上とコンテンツ管理ワークフローの効率化を実現する独自のソリューションを作成できます。 WHAT YOU'LL DO - エンタープライズ顧客の課題や構想を深くヒアリングし、業務要件・システム要件・非機能要件を整理したうえで、最適なソリューションを提案する - Box Platform案件において、プリセールスから要件定義、設計、実装、導入・定着化までを一貫してリードする - Boxと他社SaaS、各種クラウドサービス、APIを組み合わせた業務アプリケーションのソリューションアーキテクチャを設計・実装する - Box AIや生成AIを活用した新たなユースケースを構想し、顧客価値につながる形で提案・具体化する - セキュリティ、認証、暗号化、テスト設計など、エンタープライズ開発に必要な観点を踏まえて高品質なソリューションを実現する - お客様との折衝を通じて、単なる機能提案にとどまらず、業務変革につながるソリューション全体像や実現ロードマップを描く - 開発手法のベストプラクティスを活かし、ウォーターフォール・アジャイルなど案件特性に応じた進め方を設計する - 顧客やパートナー、社内の営業・コンサルティング・技術メンバーと連携し、プロジェクトを前進させる - 技術的な実装だけでなく、周囲に影響を与えながら、顧客体験の向上とプロジェクト成果の最大化に貢献する - プロジェクトから得た知見やユースケースを汎用化し、再利用可能なソリューションとして価値を社内外に広げる - Box社のビジョンを技術トレンドを踏まえて描いたブループリントやデモアプリケーションを社内外で発信する ＜主な開発環境＞ 言語：JavaScript / TypeScript、Java、C#、Python フレームワーク：Next.js、React.js、Vue.js プラットフォーム・その他：Vercel、Supabase、Heroku、Salesforce、MS Power Platform、ServiceNow、AWS、Azure、GCP、Docker 開発ツール：Cursor、Claude Code ※上記に限らず、プロダクト・ソリューション起点で最適な技術を選定し、開発に取り組んでいます。 Box ではコミュニティと対面でのコラボレーションを重要視していてます。Box の社員（Boxers）は、少なくとも毎週3日間以上はオフィスで勤務することが求められます。選考プロセスの中で、リクルーターが働き方や企業文化についてさらに詳しくご説明します。 WHO YOU ARE - エンタープライズ領域におけるアプリケーション開発またはシステム設計の実務経験を有し、要件定義から設計・実装・テスト・リリースまでを主体的に推進できる方 - 顧客折衝の経験があり、要望をそのまま受け取るのではなく、本質的な課題を整理し、実現可能な提案へ落とし込める方 - 大規模開発やエンタープライズアプリケーションに必要な設計観点を理解し、非機能要件・セキュリティ・認証・暗号化・テスト設計などを実務で扱った経験をお持ちの方 - 特定の言語や実装スタイルに閉じず、AIを含む新しい技術も活用しながら、現実的で価値あるソリューションを形にできる方 - ウォーターフォールやアジャイルなどの開発方法論を理解し、案件特性に応じて適切に使い分けられる方 - 社内外の関係者を巻き込みながらプロジェクトを前進させる推進力・発信力・影響力をお持ちの方 - 日本語で円滑に顧客対応・提案ができ、英語でも読み書きに抵抗がない方 - 他ソリューションも含めた全体構想や将来像を描き、お客様に提示することにやりがいを感じ、AI時代の変化を前向きに捉えて学び続けられる方 - 私たちは「AIファースト」の企業です。すなわち、常に成長マインドセットを持ちながら仕事に取り組み、AIを活用し、より迅速かつ適切な意思決定を行い、インパクトを高める方法を見つけていくことが求められます。 EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. For details on how we protect your information when you apply, please see our Personnel Privacy Notice.", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:7fb7bef2cb31089ec55f1fb4cbe36515:description:cursor", "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.daa97c00d653a3f187", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "7fb7bef2cb31089ec55f1fb4cbe36515", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description contains \"cursor\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Solution Architect Tokyo, Japan WHAT IS BOX? Box(NYSE: BOX)はインテリジェントコンテンツ管理（ICM）プラットフォームのリーディングカンパニーです。Boxのプラットフォームは、企業のコラボレーション促進や、コンテンツのライフサイクル全体の管理、重要なコンテンツの保護、そしてエンタープライズAIによるビジネスワークフローの変革を実現することを目指しています。2005年に米国で設立され、JLL、モルガン・スタンレーなどを含む大手グローバル企業や、日本では22,000社以上および日経225の85%の企業の業務効率化を支援しています。 Boxは、カリフォルニア州レッドウッドシティーに本社を置き、米国、ヨーロッパ、アジアに拠点を持っています。株式会社Box Japanは2013年に設立された日本法人です。 Boxでは、重要なコンテンツを扱うプラットフォームをさらに推進し、お客様の働き方に大きな変革を提供する、またとない機会があります。コンテンツは私達の業務の中心にあります。契約書、請求書、社員情報、財務情報、製品仕様、マーケティング資産などの部署間に跨る重要なビジネス・プロセスに含まれる数十億ものファイルや情報が日々流れています。私達のミッションは、コンテンツ管理にインテリジェンスをもたらし、お客様がデジタル・トランスフォーメーションを実現するお手伝いをさせていただくことです。このAIと膨大な業務コンテンツの融合による、大規模な働き方の変革期に、そのビジネスの最前線に貢献することが、Boxではできます。 WHY BOX NEEDS YOU Box JapanのSolution Architectは、単なる技術支援の役割ではありません。お客様の業務変革を構想し、Box PlatformやAPI連携、さらに生成AIを活用した新しい業務アプリケーションのあり方を描き、実現までリードするポジションです。 今回の募集では、生成AI時代が到来した中、より高いシナジーを生み出せる方を求めています。技術に強いだけでも、顧客対応が得意なだけでも十分ではありません。これからの時代に必要なのは、エンタープライズのお客様と向き合いながら、複雑な要件を整理し、実現可能なアーキテクチャへ落とし込み、周囲を巻き込みながら前に進められる人材です。 Box AIを含む生成AIソリューションの進化によって、アプリケーション開発のあり方は大きく変わりつつあります。だからこそ私たちは、単にコードを書くのではなく、AI時代にふさわしい業務設計力、技術選定力、そしてお客様に新しい価値やビジョンを提示できる力を持つSolution Architectを必要としています。 この役割では、Box Consulting Teamの一員としてBox Platform案件のプリセールスから導入・実装まで一気通貫で関わり、API連携案件のデリバリーや汎用的なソリューション開発にも携わります。さらに、社内外の多様なステークホルダーと協業しながら、お客様の変革を技術面・構想面の両方から支えることが期待されます。 「技術を武器にしながら、顧客に深く入り込み、次の時代の業務変革を形にしたい」--そんな方にとって、大きな裁量と影響力を持って挑戦できるポジションです。 Box Platformとは Box Platformは、Boxが提供する一連のツールとAPIです。開発者はこれを使用して、Boxのクラウドコンテンツ管理システムの機能を独自のアプリケーションやサービスに統合し、カスタマイズすることができます。企業や開発者は、データとアクセス権限の制御を維持しながらファイルストレージ、共有、コラボレーションなどの機能を利用して、安全かつ拡張性の高いコンテンツ中心のアプリケーションを構築できます。Box Platformを使用することで、開発者は、生産性の向上とコンテンツ管理ワークフローの効率化を実現する独自のソリューションを作成できます。 WHAT YOU'LL DO - エンタープライズ顧客の課題や構想を深くヒアリングし、業務要件・システム要件・非機能要件を整理したうえで、最適なソリューションを提案する - Box Platform案件において、プリセールスから要件定義、設計、実装、導入・定着化までを一貫してリードする - Boxと他社SaaS、各種クラウドサービス、APIを組み合わせた業務アプリケーションのソリューションアーキテクチャを設計・実装する - Box AIや生成AIを活用した新たなユースケースを構想し、顧客価値につながる形で提案・具体化する - セキュリティ、認証、暗号化、テスト設計など、エンタープライズ開発に必要な観点を踏まえて高品質なソリューションを実現する - お客様との折衝を通じて、単なる機能提案にとどまらず、業務変革につながるソリューション全体像や実現ロードマップを描く - 開発手法のベストプラクティスを活かし、ウォーターフォール・アジャイルなど案件特性に応じた進め方を設計する - 顧客やパートナー、社内の営業・コンサルティング・技術メンバーと連携し、プロジェクトを前進させる - 技術的な実装だけでなく、周囲に影響を与えながら、顧客体験の向上とプロジェクト成果の最大化に貢献する - プロジェクトから得た知見やユースケースを汎用化し、再利用可能なソリューションとして価値を社内外に広げる - Box社のビジョンを技術トレンドを踏まえて描いたブループリントやデモアプリケーションを社内外で発信する ＜主な開発環境＞ 言語：JavaScript / TypeScript、Java、C#、Python フレームワーク：Next.js、React.js、Vue.js プラットフォーム・その他：Vercel、Supabase、Heroku、Salesforce、MS Power Platform、ServiceNow、AWS、Azure、GCP、Docker 開発ツール：Cursor、Claude Code ※上記に限らず、プロダクト・ソリューション起点で最適な技術を選定し、開発に取り組んでいます。 Box ではコミュニティと対面でのコラボレーションを重要視していてます。Box の社員（Boxers）は、少なくとも毎週3日間以上はオフィスで勤務することが求められます。選考プロセスの中で、リクルーターが働き方や企業文化についてさらに詳しくご説明します。 WHO YOU ARE - エンタープライズ領域におけるアプリケーション開発またはシステム設計の実務経験を有し、要件定義から設計・実装・テスト・リリースまでを主体的に推進できる方 - 顧客折衝の経験があり、要望をそのまま受け取るのではなく、本質的な課題を整理し、実現可能な提案へ落とし込める方 - 大規模開発やエンタープライズアプリケーションに必要な設計観点を理解し、非機能要件・セキュリティ・認証・暗号化・テスト設計などを実務で扱った経験をお持ちの方 - 特定の言語や実装スタイルに閉じず、AIを含む新しい技術も活用しながら、現実的で価値あるソリューションを形にできる方 - ウォーターフォールやアジャイルなどの開発方法論を理解し、案件特性に応じて適切に使い分けられる方 - 社内外の関係者を巻き込みながらプロジェクトを前進させる推進力・発信力・影響力をお持ちの方 - 日本語で円滑に顧客対応・提案ができ、英語でも読み書きに抵抗がない方 - 他ソリューションも含めた全体構想や将来像を描き、お客様に提示することにやりがいを感じ、AI時代の変化を前向きに捉えて学び続けられる方 - 私たちは「AIファースト」の企業です。すなわち、常に成長マインドセットを持ちながら仕事に取り組み、AIを活用し、より迅速かつ適切な意思決定を行い、インパクトを高める方法を見つけていくことが求められます。 EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. For details on how we protect your information when you apply, please see our Personnel Privacy Notice.", "matched_input": "cursor", "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/1372612/000119312526098466/box-20260131.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1372612/000119312526098466/box-20260131.htm" ], "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/boxinc/jobs/7918004", "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/boxinc/jobs/7918004", "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/boxinc/jobs/7918004", "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": "0e2bf709c235c0d643464423bc9e0737", "title": "E-core CPU Layout Design Engineer", "employer_name": "Intel", "employer_slug": "intel", "location_text": "Malaysia, 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": "2026-06-11T00:00:00.000Z", "apply_url": "https://intel.wd1.myworkdayjobs.com/External/job/Malaysia-Penang/E-core-CPU-Layout-Design-Engineer_JR0284718", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "E-core CPU Layout Design Engineer Malaysia, Penang posted: Posted Yesterday", "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/50863/000005086326000011/intc-20251227.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/50863/000005086326000011/intc-20251227.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": "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.semantic.role_function.df022fcd6bba2b142e", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "0e2bf709c235c0d643464423bc9e0737", "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": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:0e2bf709c235c0d643464423bc9e0737: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/50863/000005086326000011/intc-20251227.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/50863/000005086326000011/intc-20251227.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://intel.wd1.myworkdayjobs.com/External/job/Malaysia-Penang/E-core-CPU-Layout-Design-Engineer_JR0284718", "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://intel.wd1.myworkdayjobs.com/External/job/Malaysia-Penang/E-core-CPU-Layout-Design-Engineer_JR0284718", "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": "c04279740c15412f91c6e61b36829321", "title": "Gestionnaire principal(e), stratégie Web et expérience IA", "employer_name": "AppDirect", "employer_slug": "appdirect", "location_text": "Montreal, 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": "2026-06-08T20:34:25.000Z", "apply_url": "https://job-boards.greenhouse.io/appdirect/jobs/8582761002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Gestionnaire principal(e), stratégie Web et expérience IA Montreal, Canada Pour la version anglaise de cette description de poste, veuillez consulter le lien suivant / For the English version of this job description, please refer to the following link : - Senior Manager, Web Strategy & AI Experience À propos d'AppDirect Devenez un citoyen du monde à l'ère numérique et outillez une nouvelle génération d'entrepreneurs branchés aux quatre coins du globe. AppDirect offre une plateforme d'abonnement permettant de vendre n'importe quel produit en tant que service, et ce, par n'importe quel canal et sur n'importe quel appareil. Nous alimentons des millions d'abonnements pour le compte d'organisations de partout dans le monde. Notre action est toujours guidée par nos valeurs et notre culture - une culture qui vous permet d'être vu, de rester authentique et d'exceller. Votre profil Nous sommes à la recherche d'un ou d'une gestionnaire principal(e), stratégie Web et expérience IA, aussi à l'aise à établir des stratégies qu'à mettre les mains à la pâte pour livrer la marchandise. Vous maîtrisez parfaitement les écosystèmes d'interface modernes et intégrez activement les outils d'IA dans vos flux quotidiens de développement et de contenu, notamment les environnements basés sur l'apprentissage automatique (LLM) tels que Cursor, Lovable ou équivalents. Vous comprenez comment les systèmes d'IA découvrent et classent le contenu, et vous appliquez cette compréhension pour façonner la stratégie Web à la source. Vous communiquez clairement avec les équipes responsables de la conception, de l'ingénierie, des produits et du marketing, afin de traduire les", "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" }, "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" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 6, "years_experience_max": 12, "role_function": "teaching_education", "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.895b7e90062212f4f2", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "c04279740c15412f91c6e61b36829321", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description matched \"cursor\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Gestionnaire principal(e), stratégie Web et expérience IA Montreal, Canada Pour la version anglaise de cette description de poste, veuillez consulter le lien suivant / For the English version of this job description, please refer to the following link : - Senior Manager, Web Strategy & AI Experience À propos d'AppDirect Devenez un citoyen du monde à l'ère numérique et outillez une nouvelle génération d'entrepreneurs branchés aux quatre coins du globe. AppDirect offre une plateforme d'abonnement permettant de vendre n'importe quel produit en tant que service, et ce, par n'importe quel canal et sur n'importe quel appareil. Nous alimentons des millions d'abonnements pour le compte d'organisations de partout dans le monde. Notre action est toujours guidée par nos valeurs et notre culture - une culture qui vous permet d'être vu, de rester authentique et d'exceller. Votre profil Nous sommes à la recherche d'un ou d'une gestionnaire principal(e), stratégie Web et expérience IA, aussi à l'aise à établir des stratégies qu'à mettre les mains à la pâte pour livrer la marchandise. Vous maîtrisez parfaitement les écosystèmes d'interface modernes et intégrez activement les outils d'IA dans vos flux quotidiens de développement et de contenu, notamment les environnements basés sur l'apprentissage automatique (LLM) tels que Cursor, Lovable ou équivalents. Vous comprenez comment les systèmes d'IA découvrent et classent le contenu, et vous appliquez cette compréhension pour façonner la stratégie Web à la source. Vous communiquez clairement avec les équipes responsables de la conception, de l'ingénierie, des produits et du marketing, afin de traduire les", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:c04279740c15412f91c6e61b36829321:description:cursor", "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.de2fc718b48c9905cb", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "c04279740c15412f91c6e61b36829321", "signal_type": "query_match", "display_text": "Description: \"cursor\"", "tooltip": "Description contains \"cursor\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Gestionnaire principal(e), stratégie Web et expérience IA Montreal, Canada Pour la version anglaise de cette description de poste, veuillez consulter le lien suivant / For the English version of this job description, please refer to the following link : - Senior Manager, Web Strategy & AI Experience À propos d'AppDirect Devenez un citoyen du monde à l'ère numérique et outillez une nouvelle génération d'entrepreneurs branchés aux quatre coins du globe. AppDirect offre une plateforme d'abonnement permettant de vendre n'importe quel produit en tant que service, et ce, par n'importe quel canal et sur n'importe quel appareil. Nous alimentons des millions d'abonnements pour le compte d'organisations de partout dans le monde. Notre action est toujours guidée par nos valeurs et notre culture - une culture qui vous permet d'être vu, de rester authentique et d'exceller. Votre profil Nous sommes à la recherche d'un ou d'une gestionnaire principal(e), stratégie Web et expérience IA, aussi à l'aise à établir des stratégies qu'à mettre les mains à la pâte pour livrer la marchandise. Vous maîtrisez parfaitement les écosystèmes d'interface modernes et intégrez activement les outils d'IA dans vos flux quotidiens de développement et de contenu, notamment les environnements basés sur l'apprentissage automatique (LLM) tels que Cursor, Lovable ou équivalents. Vous comprenez comment les systèmes d'IA découvrent et classent le contenu, et vous appliquez cette compréhension pour façonner la stratégie Web à la source. Vous communiquez clairement avec les équipes responsables de la conception, de l'ingénierie, des produits et du marketing, afin de traduire les", "matched_input": "cursor", "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://job-boards.greenhouse.io/appdirect/jobs/8582761002", "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/appdirect/jobs/8582761002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "c1b064b54ca8ee95cffbf307869516dc", "title": "Pick Packer - CuraScript", "employer_name": "The Cigna Group", "employer_slug": "the-cigna-group", "location_text": "DE, Newark, 2051 Old Coochs Bridge Rd", "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": 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": "2026-06-10T00:00:00.000Z", "apply_url": "https://cigna.wd5.myworkdayjobs.com/cignacareers/job/DE-Newark-2051-Old-Coochs-Bridge-Rd/Pick-Packer---CuraScript_26007210-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Pick Packer - CuraScript DE, Newark, 2051 Old Coochs Bridge Rd posted: Posted 2 Days Ago", "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://jobs.thecignagroup.com/us/en/benefits", "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": 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/1739940/000173994026000006/ci-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1739940/000173994026000006/ci-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://jobs.thecignagroup.com/us/en/benefits", "db_column": "parental_leave_weeks", "source_url": "https://jobs.thecignagroup.com/us/en/benefits" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://jobs.thecignagroup.com/us/en/benefits", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://jobs.thecignagroup.com/us/en/benefits" } }, "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": "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.semantic.role_function.ec6c64bfc6e355b0bc", "query_id": "gq_0dbf3b32de0a4c6c25e5", "job_id": "c1b064b54ca8ee95cffbf307869516dc", "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": "other", "matched_input": "cursor", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_0dbf3b32de0a4c6c25e5:c1b064b54ca8ee95cffbf307869516dc: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/1739940/000173994026000006/ci-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1739940/000173994026000006/ci-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cigna.wd5.myworkdayjobs.com/cignacareers/job/DE-Newark-2051-Old-Coochs-Bridge-Rd/Pick-Packer---CuraScript_26007210-1", "source_values": [ "https://jobs.thecignagroup.com/us/en/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://cigna.wd5.myworkdayjobs.com/cignacareers/job/DE-Newark-2051-Old-Coochs-Bridge-Rd/Pick-Packer---CuraScript_26007210-1", "source_values": [ "https://jobs.thecignagroup.com/us/en/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://cigna.wd5.myworkdayjobs.com/cignacareers/job/DE-Newark-2051-Old-Coochs-Bridge-Rd/Pick-Packer---CuraScript_26007210-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "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 } } } ], "total": 1257, "page": 15, "per_page": 24, "applied_filters": { "q": "Cursor" }, "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": false, "query_terms": [ "cursor" ], "active_filter_keys": [], "visible_signal_limit": 3, "visible_trust_limit": 2 }, "event_context": { "query_context": { "query_id": "c4b720e3-6db8-4d15-80b3-e2617f682743", "issued_at": "2026-08-18T09:39:30.255Z", "route": "/jobs", "page": 15, "per_page": 24, "total_results": 1257, "sort": "relevance", "ranking_policy": "hybrid_rrf_rerank", "ranking_policy_version": "inv382.jobs.search.v2", "query_hash": "hmac_sha256:HyzYoqfDWS4ZPub2z6wjUrs0aYx1U1VYPFtPSNqC6-I", "filter_hash": "hmac_sha256:6CBErDPXOFVCSNkSGbTmuw6GxoMjwSLro0KqZMtxL_0", "query_features": { "has_q": true, "q_term_count": 1, "q_length_bucket": "1_15", "q_pii_redacted": false, "state_count": 0, "benefit_filters": [], "quality_floor": "default" }, "exposures": [ { "result_id": "9b26559a56132f33ae5acd385bf6f06c", "position": 337, "page_position": 1, "retrieval_features": { "bm25_score": 0, "vector_score": 0.35464404090178103, "rrf_score": 0.004048582995951417, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 66, "quality_score": 35 } }, { "result_id": "a3880a15633e73be80d42541d1c00ace", "position": 338, "page_position": 2, "retrieval_features": { "bm25_score": -6.138062000274658, "vector_score": 0, "rrf_score": 0.004048582995951417, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 84, "quality_score": 45 } }, { "result_id": "ce8f2a663e8d64eea556f744306dc81c", "position": 339, "page_position": 3, "retrieval_features": { "bm25_score": 0, "vector_score": 0.35472810077117256, "rrf_score": 0.004032258064516129, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 66, "quality_score": 35 } }, { "result_id": "b035cce25c93ca04954213ce64895e8b", "position": 340, "page_position": 4, "retrieval_features": { "bm25_score": -6.138062000274658, "vector_score": 0, "rrf_score": 0.004032258064516129, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 71, "quality_score": 45 } }, { "result_id": "5027657c2e66f9cfbcba0f336df35ee9", "position": 341, "page_position": 5, "retrieval_features": { "bm25_score": 0, "vector_score": 0.35479746326200523, "rrf_score": 0.004016064257028112, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 98, "quality_score": 35 } }, { "result_id": "e9cc785adf2bda407e04131f33af4d22", "position": 342, "page_position": 6, "retrieval_features": { "bm25_score": -6.138062000274658, "vector_score": 0, "rrf_score": 0.004016064257028112, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 126, "quality_score": 45 } }, { "result_id": "ead7db4e63a74525743bed675a6268aa", "position": 343, "page_position": 7, "retrieval_features": { "bm25_score": -6.138062000274658, "vector_score": 0, "rrf_score": 0.004, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 72, "quality_score": 55 } }, { "result_id": "fbaaaa8161a8fb898b83d79dd3c6ce1d", "position": 344, "page_position": 8, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3548073364851647, "rrf_score": 0.004, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 252, "quality_score": 35 } }, { "result_id": "f321fa4e77a9465935373ab7765ba486", "position": 345, "page_position": 9, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3548090861680828, "rrf_score": 0.00398406374501992, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 68, "quality_score": 35 } }, { "result_id": "68578015c92142e6ee961888163455a5", "position": 346, "page_position": 10, "retrieval_features": { "bm25_score": -6.014049053192139, "vector_score": 0, "rrf_score": 0.00398406374501992, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 71, "quality_score": 45 } }, { "result_id": "e6730a722396d460b94f8e9a31496eda", "position": 347, "page_position": 11, "retrieval_features": { "bm25_score": 0, "vector_score": 0.35487260356924866, "rrf_score": 0.003968253968253968, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 68, "quality_score": 35 } }, { "result_id": "84040a4c86183a694e597aab3fe18470", "position": 348, "page_position": 12, "retrieval_features": { "bm25_score": -5.938088417053223, "vector_score": 0, "rrf_score": 0.003968253968253968, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 193, "quality_score": 45 } }, { "result_id": "0aca8cfe49e4add463048dbcaefe777c", "position": 349, "page_position": 13, "retrieval_features": { "bm25_score": 0, "vector_score": 0.35489090219464936, "rrf_score": 0.003952569169960474, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 98, "quality_score": 35 } }, { "result_id": "df8c0401f52fdca98ac2822b38162b78", "position": 350, "page_position": 14, "retrieval_features": { "bm25_score": -5.938088417053223, "vector_score": 0, "rrf_score": 0.003952569169960474, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 138, "quality_score": 45 } }, { "result_id": "989dc2d8720a503cb01fce04cadb18c8", "position": 351, "page_position": 15, "retrieval_features": { "bm25_score": 0, "vector_score": 0.35489318832436734, "rrf_score": 0.003937007874015748, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 66, "quality_score": 35 } }, { "result_id": "186d9d075b064a186ee2dc8e70b56c27", "position": 352, "page_position": 16, "retrieval_features": { "bm25_score": -5.821948528289795, "vector_score": 0, "rrf_score": 0.003937007874015748, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 68, "quality_score": 45 } }, { "result_id": "c15fb3bfa5dd0ef314c6caf1e83a4687", "position": 353, "page_position": 17, "retrieval_features": { "bm25_score": 0, "vector_score": 0.354933659879376, "rrf_score": 0.00392156862745098, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 66, "quality_score": 35 } }, { "result_id": "bc8d87569ffd492dc3429a885f26ab8c", "position": 354, "page_position": 18, "retrieval_features": { "bm25_score": -5.750733852386475, "vector_score": 0, "rrf_score": 0.00392156862745098, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 139, "quality_score": 55 } }, { "result_id": "3e3979a82512a28c97bb5a6d2a4009f9", "position": 355, "page_position": 19, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3549509240701494, "rrf_score": 0.00390625, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 98, "quality_score": 35 } }, { "result_id": "ec0aaa95ec31dee6729dc425a7b2a65e", "position": 356, "page_position": 20, "retrieval_features": { "bm25_score": -5.750733852386475, "vector_score": 0, "rrf_score": 0.00390625, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 74, "quality_score": 45 } }, { "result_id": "7fb7bef2cb31089ec55f1fb4cbe36515", "position": 357, "page_position": 21, "retrieval_features": { "bm25_score": -5.409387588500977, "vector_score": 0, "rrf_score": 0.0038910505836575876, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 96, "quality_score": 45 } }, { "result_id": "0e2bf709c235c0d643464423bc9e0737", "position": 358, "page_position": 22, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3551014277399437, "rrf_score": 0.003875968992248062, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 68, "quality_score": 35 } }, { "result_id": "c04279740c15412f91c6e61b36829321", "position": 359, "page_position": 23, "retrieval_features": { "bm25_score": -5.409387588500977, "vector_score": 0, "rrf_score": 0.003875968992248062, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 70, "quality_score": 45 } }, { "result_id": "c1b064b54ca8ee95cffbf307869516dc", "position": 360, "page_position": 24, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3551299168130755, "rrf_score": 0.003861003861003861, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 69, "quality_score": 35 } } ] }, "context_signature": "6jboWBOoBCrypzzF4TTIfc0RAbhIjwuo0G-b5Lrjluw", "event_token": "6jboWBOoBCrypzzF4TTIfc0RAbhIjwuo0G-b5Lrjluw" } }