{ "results": [ { "id": "f6b82fa4ab09a1cc84e9acc1fe2cc3c7", "title": "Customer Success Manager", "employer_name": "Bland AI", "employer_slug": "bland-ai", "location_text": "San Francisco", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/bland/65bd2e9d-e5c5-4642-b49f-9cb4ab931e31", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Customer Success Manager San Francisco About Bland AI At Bland, we're building the most human AI phone agents in the world. We're a Series B startup backed by Emergence Capital, Y Combinator, and the founders of PayPal and Twilio, and we've raised $65M to reimagine the future of customer communication. Today, we're a 60 person team powering voice automation for companies like Better.com http://Better.com, helping them deliver friendly, helpful, and human-like conversations at massive scale. And now we're hiring our next game-changing teammate: a Technical Account Manager (TAM) who lives at the intersection of customer success, and solutions. Why this role exists We need someone who will take control of post-sales, enforce clarity, and drive customers to value fast. Someone who doesn't wait for direction, they build the plan, run the room, unblock deployments, collapse timelines, and turn customer confusion into clean, repeatable execution. Someone who can stabilize accounts, surface real risks, tighten the feedback loop, and aggressively identify expansion opportunities. That's the founding Technical Account Manager: the person who owns outcomes, commands the customer relationship, and turns our product into an undeniable business impact at speed. What you'll do - Drive Customer Outcomes - You'll own the post-sales journey end-to-end, ensuring every customer launches quickly, hits quantifiable KPIs, and sees unmistakable ROI from our agents. That means diagnosing blockers before they become problems, pushing customers toward high-value use cases, and turning every deployment into a measurable win for both their business and ours. - Cross-Functional Problem Solving - Partner", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "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": "customer_success", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "series_b", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.a59e020d51658da724", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "f6b82fa4ab09a1cc84e9acc1fe2cc3c7", "signal_type": "query_match", "display_text": "Description: \"bland\"", "tooltip": "Description matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Customer Success Manager San Francisco About Bland AI At Bland, we're building the most human AI phone agents in the world. We're a Series B startup backed by Emergence Capital, Y Combinator, and the founders of PayPal and Twilio, and we've raised $65M to reimagine the future of customer communication. Today, we're a 60 person team powering voice automation for companies like Better.com http://Better.com, helping them deliver friendly, helpful, and human-like conversations at massive scale. And now we're hiring our next game-changing teammate: a Technical Account Manager (TAM) who lives at the intersection of customer success, and solutions. Why this role exists We need someone who will take control of post-sales, enforce clarity, and drive customers to value fast. Someone who doesn't wait for direction, they build the plan, run the room, unblock deployments, collapse timelines, and turn customer confusion into clean, repeatable execution. Someone who can stabilize accounts, surface real risks, tighten the feedback loop, and aggressively identify expansion opportunities. That's the founding Technical Account Manager: the person who owns outcomes, commands the customer relationship, and turns our product into an undeniable business impact at speed. What you'll do - Drive Customer Outcomes - You'll own the post-sales journey end-to-end, ensuring every customer launches quickly, hits quantifiable KPIs, and sees unmistakable ROI from our agents. That means diagnosing blockers before they become problems, pushing customers toward high-value use cases, and turning every deployment into a measurable win for both their business and ours. - Cross-Functional Problem Solving - Partner", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:f6b82fa4ab09a1cc84e9acc1fe2cc3c7:description:bland", "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.f326fe99cd365ccd02", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "f6b82fa4ab09a1cc84e9acc1fe2cc3c7", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Customer Success Manager San Francisco About Bland AI At Bland, we're building the most human AI phone agents in the world. We're a Series B startup backed by Emergence Capital, Y Combinator, and the founders of PayPal and Twilio, and we've raised $65M to reimagine the future of customer communication. Today, we're a 60 person team powering voice automation for companies like Better.com http://Better.com, helping them deliver friendly, helpful, and human-like conversations at massive scale. And now we're hiring our next game-changing teammate: a Technical Account Manager (TAM) who lives at the intersection of customer success, and solutions. Why this role exists We need someone who will take control of post-sales, enforce clarity, and drive customers to value fast. Someone who doesn't wait for direction, they build the plan, run the room, unblock deployments, collapse timelines, and turn customer confusion into clean, repeatable execution. Someone who can stabilize accounts, surface real risks, tighten the feedback loop, and aggressively identify expansion opportunities. That's the founding Technical Account Manager: the person who owns outcomes, commands the customer relationship, and turns our product into an undeniable business impact at speed. What you'll do - Drive Customer Outcomes - You'll own the post-sales journey end-to-end, ensuring every customer launches quickly, hits quantifiable KPIs, and sees unmistakable ROI from our agents. That means diagnosing blockers before they become problems, pushing customers toward high-value use cases, and turning every deployment into a measurable win for both their business and ours. - Cross-Functional Problem Solving - Partner", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:f6b82fa4ab09a1cc84e9acc1fe2cc3c7:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.77f55dc193b8d3c87b", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "f6b82fa4ab09a1cc84e9acc1fe2cc3c7", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:f6b82fa4ab09a1cc84e9acc1fe2cc3c7:employer:bland", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.afbef89d1b42ed870f", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "f6b82fa4ab09a1cc84e9acc1fe2cc3c7", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:f6b82fa4ab09a1cc84e9acc1fe2cc3c7:employer:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.bc0360195a5f2ecbe0", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "f6b82fa4ab09a1cc84e9acc1fe2cc3c7", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:8fd9031e342ae86ffae20b32", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.d21dca8e23bca593cb", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "f6b82fa4ab09a1cc84e9acc1fe2cc3c7", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.dd8f28468b69a726c1", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "f6b82fa4ab09a1cc84e9acc1fe2cc3c7", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer contains \"bland\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "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/bland/65bd2e9d-e5c5-4642-b49f-9cb4ab931e31", "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/bland/65bd2e9d-e5c5-4642-b49f-9cb4ab931e31", "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/bland/65bd2e9d-e5c5-4642-b49f-9cb4ab931e31", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "210cb4ab53d652cefedb70c09d794435", "title": "Technical Account Manager", "employer_name": "Bland AI", "employer_slug": "bland-ai", "location_text": "San Francisco", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/bland/72c82d6b-99c1-4bae-a5c8-267c74b13081", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Technical Account Manager San Francisco About Bland AI At Bland, we're building the most human AI phone agents in the world. We're a Series B startup backed by Emergence Capital, Y Combinator, and the founders of PayPal and Twilio, and we've raised $65M to reimagine the future of customer communication. Today, we're a 60 person team powering voice automation for companies like Better.com http://Better.com, helping them deliver friendly, helpful, and human-like conversations at massive scale. And now we're hiring our next game-changing teammate: a Technical Account Manager (TAM) who lives at the intersection of customer success, and solutions. Why this role exists We need someone who will take control of post-sales, enforce clarity, and drive customers to value fast. Someone who doesn't wait for direction, they build the plan, run the room, unblock deployments, collapse timelines, and turn customer confusion into clean, repeatable execution. Someone who can stabilize accounts, surface real risks, tighten the feedback loop, and aggressively identify expansion opportunities. That's the founding Technical Account Manager: the person who owns outcomes, commands the customer relationship, and turns our product into an undeniable business impact at speed. What you'll do - Drive Customer Outcomes - You'll own the post-sales journey end-to-end, ensuring every customer launches quickly, hits quantifiable KPIs, and sees unmistakable ROI from our agents. That means diagnosing blockers before they become problems, pushing customers toward high-value use cases, and turning every deployment into a measurable win for both their business and ours. - Cross-Functional Problem Solving - Partner", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "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": "customer_success", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "series_b", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.67c3d5656c61df214f", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "210cb4ab53d652cefedb70c09d794435", "signal_type": "query_match", "display_text": "Description: \"bland\"", "tooltip": "Description matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Technical Account Manager San Francisco About Bland AI At Bland, we're building the most human AI phone agents in the world. We're a Series B startup backed by Emergence Capital, Y Combinator, and the founders of PayPal and Twilio, and we've raised $65M to reimagine the future of customer communication. Today, we're a 60 person team powering voice automation for companies like Better.com http://Better.com, helping them deliver friendly, helpful, and human-like conversations at massive scale. And now we're hiring our next game-changing teammate: a Technical Account Manager (TAM) who lives at the intersection of customer success, and solutions. Why this role exists We need someone who will take control of post-sales, enforce clarity, and drive customers to value fast. Someone who doesn't wait for direction, they build the plan, run the room, unblock deployments, collapse timelines, and turn customer confusion into clean, repeatable execution. Someone who can stabilize accounts, surface real risks, tighten the feedback loop, and aggressively identify expansion opportunities. That's the founding Technical Account Manager: the person who owns outcomes, commands the customer relationship, and turns our product into an undeniable business impact at speed. What you'll do - Drive Customer Outcomes - You'll own the post-sales journey end-to-end, ensuring every customer launches quickly, hits quantifiable KPIs, and sees unmistakable ROI from our agents. That means diagnosing blockers before they become problems, pushing customers toward high-value use cases, and turning every deployment into a measurable win for both their business and ours. - Cross-Functional Problem Solving - Partner", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:210cb4ab53d652cefedb70c09d794435:description:bland", "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.7208dfd50f2d8437ea", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "210cb4ab53d652cefedb70c09d794435", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Technical Account Manager San Francisco About Bland AI At Bland, we're building the most human AI phone agents in the world. We're a Series B startup backed by Emergence Capital, Y Combinator, and the founders of PayPal and Twilio, and we've raised $65M to reimagine the future of customer communication. Today, we're a 60 person team powering voice automation for companies like Better.com http://Better.com, helping them deliver friendly, helpful, and human-like conversations at massive scale. And now we're hiring our next game-changing teammate: a Technical Account Manager (TAM) who lives at the intersection of customer success, and solutions. Why this role exists We need someone who will take control of post-sales, enforce clarity, and drive customers to value fast. Someone who doesn't wait for direction, they build the plan, run the room, unblock deployments, collapse timelines, and turn customer confusion into clean, repeatable execution. Someone who can stabilize accounts, surface real risks, tighten the feedback loop, and aggressively identify expansion opportunities. That's the founding Technical Account Manager: the person who owns outcomes, commands the customer relationship, and turns our product into an undeniable business impact at speed. What you'll do - Drive Customer Outcomes - You'll own the post-sales journey end-to-end, ensuring every customer launches quickly, hits quantifiable KPIs, and sees unmistakable ROI from our agents. That means diagnosing blockers before they become problems, pushing customers toward high-value use cases, and turning every deployment into a measurable win for both their business and ours. - Cross-Functional Problem Solving - Partner", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:210cb4ab53d652cefedb70c09d794435:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.475cfd0d3dd4884507", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "210cb4ab53d652cefedb70c09d794435", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:210cb4ab53d652cefedb70c09d794435:employer:bland", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.573dc68c086b70d9d5", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "210cb4ab53d652cefedb70c09d794435", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:210cb4ab53d652cefedb70c09d794435:employer:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.81f4dc00e8580f43fa", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "210cb4ab53d652cefedb70c09d794435", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:89c7f1f41153acbafcc2d004", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.4f77d9ff82c3fd103d", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "210cb4ab53d652cefedb70c09d794435", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer contains \"bland\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.c9be2ff791bc7c7ba9", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "210cb4ab53d652cefedb70c09d794435", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "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/bland/72c82d6b-99c1-4bae-a5c8-267c74b13081", "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/bland/72c82d6b-99c1-4bae-a5c8-267c74b13081", "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/bland/72c82d6b-99c1-4bae-a5c8-267c74b13081", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "797c95566cfeb1df4cc74737591ea3f5", "title": "Enterprise Account Executive", "employer_name": "Bland AI", "employer_slug": "bland-ai", "location_text": "San Francisco", "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": 50000, "salary_max": 250000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 50000, "base_salary_max": 250000, "salary_disclosed": true, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/bland/dc26ae53-bd0f-4e58-9e01-dea3777c0830", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Enterprise Account Executive San Francisco ABOUT THE ROLE Bland is hiring a world-class Enterprise AE to break into high-value accounts and close complex, multi-threaded deals. This role is all about precision - deeply qualifying with MEDDPICC, leading with business value, and driving urgency in organizations with multiple stakeholders and longer sales cycles. If you thrive in technical, value-led enterprise sales - and know how to push a deal from interest to action - we want to talk. WHAT YOU'LL DO - Own complex enterprise deals from start to finish - including outbound, discovery, ROI framing, technical validation, and commercial negotiation. - Qualify your deals using MEDDPICC - map stakeholders and influence, uncover pain, drive urgency, and de-risk your forecast. - Lead with business value messaging - connect Bland's differentiators to executive-level value drivers with clarity and confidence. - Multi-thread across technical and economic buyers, with strong positioning across product, engineering operations, and AI transformation teams. - Sell Bland's Voice AI platform as both transforming customer experiences and driving operational efficiencies. - Partner with Bland's AI Engineers to prove technical fit and design compelling conversational pathways. WHAT YOU KNOW - MEDDPICC inside and out - this is how you qualify, forecast, and win. - Command of the Message or a similar value-based selling framework - you lead with pain, quantifiable impact, and differentiated proof points. - Enterprise SaaS Sales - You've sold $50K-$250K+ ACV deals with multi-month cycles and multiple stakeholders. - Voice AI / LLMs / APIs: You're comfortable selling", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 47, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "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": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "sales", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "series_b", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.279686b92bdb03d170", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "797c95566cfeb1df4cc74737591ea3f5", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Enterprise Account Executive San Francisco ABOUT THE ROLE Bland is hiring a world-class Enterprise AE to break into high-value accounts and close complex, multi-threaded deals. This role is all about precision - deeply qualifying with MEDDPICC, leading with business value, and driving urgency in organizations with multiple stakeholders and longer sales cycles. If you thrive in technical, value-led enterprise sales - and know how to push a deal from interest to action - we want to talk. WHAT YOU'LL DO - Own complex enterprise deals from start to finish - including outbound, discovery, ROI framing, technical validation, and commercial negotiation. - Qualify your deals using MEDDPICC - map stakeholders and influence, uncover pain, drive urgency, and de-risk your forecast. - Lead with business value messaging - connect Bland's differentiators to executive-level value drivers with clarity and confidence. - Multi-thread across technical and economic buyers, with strong positioning across product, engineering operations, and AI transformation teams. - Sell Bland's Voice AI platform as both transforming customer experiences and driving operational efficiencies. - Partner with Bland's AI Engineers to prove technical fit and design compelling conversational pathways. WHAT YOU KNOW - MEDDPICC inside and out - this is how you qualify, forecast, and win. - Command of the Message or a similar value-based selling framework - you lead with pain, quantifiable impact, and differentiated proof points. - Enterprise SaaS Sales - You've sold $50K-$250K+ ACV deals with multi-month cycles and multiple stakeholders. - Voice AI / LLMs / APIs: You're comfortable selling", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:797c95566cfeb1df4cc74737591ea3f5:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.448edb6fca893c0e34", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "797c95566cfeb1df4cc74737591ea3f5", "signal_type": "query_match", "display_text": "Description: \"bland\"", "tooltip": "Description matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Enterprise Account Executive San Francisco ABOUT THE ROLE Bland is hiring a world-class Enterprise AE to break into high-value accounts and close complex, multi-threaded deals. This role is all about precision - deeply qualifying with MEDDPICC, leading with business value, and driving urgency in organizations with multiple stakeholders and longer sales cycles. If you thrive in technical, value-led enterprise sales - and know how to push a deal from interest to action - we want to talk. WHAT YOU'LL DO - Own complex enterprise deals from start to finish - including outbound, discovery, ROI framing, technical validation, and commercial negotiation. - Qualify your deals using MEDDPICC - map stakeholders and influence, uncover pain, drive urgency, and de-risk your forecast. - Lead with business value messaging - connect Bland's differentiators to executive-level value drivers with clarity and confidence. - Multi-thread across technical and economic buyers, with strong positioning across product, engineering operations, and AI transformation teams. - Sell Bland's Voice AI platform as both transforming customer experiences and driving operational efficiencies. - Partner with Bland's AI Engineers to prove technical fit and design compelling conversational pathways. WHAT YOU KNOW - MEDDPICC inside and out - this is how you qualify, forecast, and win. - Command of the Message or a similar value-based selling framework - you lead with pain, quantifiable impact, and differentiated proof points. - Enterprise SaaS Sales - You've sold $50K-$250K+ ACV deals with multi-month cycles and multiple stakeholders. - Voice AI / LLMs / APIs: You're comfortable selling", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:797c95566cfeb1df4cc74737591ea3f5:description:bland", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.81b5456777f571562f", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "797c95566cfeb1df4cc74737591ea3f5", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:797c95566cfeb1df4cc74737591ea3f5:employer:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.8a9470699fdbb1e959", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "797c95566cfeb1df4cc74737591ea3f5", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:797c95566cfeb1df4cc74737591ea3f5:employer:bland", "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.semantic.employer_name.2a25bdaad93c54dd10", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "797c95566cfeb1df4cc74737591ea3f5", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:0084cd09b13dadf60442a6a1", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.a31f46a709fe5f107f", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "797c95566cfeb1df4cc74737591ea3f5", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.a4598a56da8fe042f2", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "797c95566cfeb1df4cc74737591ea3f5", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer contains \"bland\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.1f835dbe9bb06a6e4c", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "797c95566cfeb1df4cc74737591ea3f5", "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": "bland ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:797c95566cfeb1df4cc74737591ea3f5:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/bland/dc26ae53-bd0f-4e58-9e01-dea3777c0830", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/bland/dc26ae53-bd0f-4e58-9e01-dea3777c0830", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/bland/dc26ae53-bd0f-4e58-9e01-dea3777c0830", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/bland/dc26ae53-bd0f-4e58-9e01-dea3777c0830", "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/bland/dc26ae53-bd0f-4e58-9e01-dea3777c0830", "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/bland/dc26ae53-bd0f-4e58-9e01-dea3777c0830", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "6391b16dba16bec2da9c756d5025fe0f", "title": "Business Development Representative", "employer_name": "Bland AI", "employer_slug": "bland-ai", "location_text": "San Francisco", "country": "US", "employment_type": "full_time", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/bland/f47deb2b-c31a-467e-afc1-cf38134cd370", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Development Representative San Francisco About Bland At Bland.com http://Bland.com, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We've raised $65 million from Silicon Valley's finest; Including Emergence Capital, Scale Venture Partners, YC, the founders of Twilio, Affirm, ElevenLabs, and many more. About the Role This is a full-time role located in San Francisco, CA. As a Business Development Representative (BDR) at Bland, your primary responsibility will be driving pipeline and growing net-new business. You'll actively prospect, qualify, and pass meetings to our AEs to move deals forward. We're a startup, and we need people who understand what that means. We aren't a super traditional team, but we are an extremely effective one. We love unique backgrounds, hardworkers, and intelligent people who take pride in everything they do. What Makes You a Great Fit - Preferably 1+ year of SaaS BDR experience - Startup experience is a plus, especially in Enterprise SaaS - Comfortable understanding and communicating around complex technical problems - Experience in business development and customer relationship management - High level of agency-able to figure things out, build new processes, and just get it done - Bachelor's degree is preferred but not required - Comfortable with cold outreach (calls, emails, LinkedIn, etc.) Benefits and Pay: - Healthcare, dental, vision, all the good stuff - Meaningful equity in a fast-growing company - Every tool you need", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "contractor_type": { "field": "contractor_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "contractor_type" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "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": 1, "years_experience_max": 7, "role_function": "sales", "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": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.37edd334e14b94cd46", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "6391b16dba16bec2da9c756d5025fe0f", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Business Development Representative San Francisco About Bland At Bland.com http://Bland.com, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We've raised $65 million from Silicon Valley's finest; Including Emergence Capital, Scale Venture Partners, YC, the founders of Twilio, Affirm, ElevenLabs, and many more. About the Role This is a full-time role located in San Francisco, CA. As a Business Development Representative (BDR) at Bland, your primary responsibility will be driving pipeline and growing net-new business. You'll actively prospect, qualify, and pass meetings to our AEs to move deals forward. We're a startup, and we need people who understand what that means. We aren't a super traditional team, but we are an extremely effective one. We love unique backgrounds, hardworkers, and intelligent people who take pride in everything they do. What Makes You a Great Fit - Preferably 1+ year of SaaS BDR experience - Startup experience is a plus, especially in Enterprise SaaS - Comfortable understanding and communicating around complex technical problems - Experience in business development and customer relationship management - High level of agency-able to figure things out, build new processes, and just get it done - Bachelor's degree is preferred but not required - Comfortable with cold outreach (calls, emails, LinkedIn, etc.) Benefits and Pay: - Healthcare, dental, vision, all the good stuff - Meaningful equity in a fast-growing company - Every tool you need", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:6391b16dba16bec2da9c756d5025fe0f:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.853bcca2828ff472ab", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "6391b16dba16bec2da9c756d5025fe0f", "signal_type": "query_match", "display_text": "Description: \"bland\"", "tooltip": "Description matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Business Development Representative San Francisco About Bland At Bland.com http://Bland.com, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We've raised $65 million from Silicon Valley's finest; Including Emergence Capital, Scale Venture Partners, YC, the founders of Twilio, Affirm, ElevenLabs, and many more. About the Role This is a full-time role located in San Francisco, CA. As a Business Development Representative (BDR) at Bland, your primary responsibility will be driving pipeline and growing net-new business. You'll actively prospect, qualify, and pass meetings to our AEs to move deals forward. We're a startup, and we need people who understand what that means. We aren't a super traditional team, but we are an extremely effective one. We love unique backgrounds, hardworkers, and intelligent people who take pride in everything they do. What Makes You a Great Fit - Preferably 1+ year of SaaS BDR experience - Startup experience is a plus, especially in Enterprise SaaS - Comfortable understanding and communicating around complex technical problems - Experience in business development and customer relationship management - High level of agency-able to figure things out, build new processes, and just get it done - Bachelor's degree is preferred but not required - Comfortable with cold outreach (calls, emails, LinkedIn, etc.) Benefits and Pay: - Healthcare, dental, vision, all the good stuff - Meaningful equity in a fast-growing company - Every tool you need", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:6391b16dba16bec2da9c756d5025fe0f:description:bland", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.239b9742ae88524940", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "6391b16dba16bec2da9c756d5025fe0f", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:6391b16dba16bec2da9c756d5025fe0f:employer:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.3eca5e0471969d6ba7", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "6391b16dba16bec2da9c756d5025fe0f", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:6391b16dba16bec2da9c756d5025fe0f:employer:bland", "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.semantic.employer_name.168ce92115a2839681", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "6391b16dba16bec2da9c756d5025fe0f", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:065657cf30e716f6e09d189d", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.07d8f759ef8df87c3a", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "6391b16dba16bec2da9c756d5025fe0f", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer contains \"bland\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.e903a47200693c6b04", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "6391b16dba16bec2da9c756d5025fe0f", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/bland/f47deb2b-c31a-467e-afc1-cf38134cd370", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/bland/f47deb2b-c31a-467e-afc1-cf38134cd370", "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/bland/f47deb2b-c31a-467e-afc1-cf38134cd370", "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/bland/f47deb2b-c31a-467e-afc1-cf38134cd370", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "2d986a6f9ede9a2065db2d4c6bb6d584", "title": "Senior Infrastructure Engineer", "employer_name": "Bland AI", "employer_slug": "bland-ai", "location_text": "San Francisco", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/bland/a3a383e0-9c15-4777-a95b-536cb8c1174c", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Infrastructure Engineer San Francisco About Bland At Bland.com http://Bland.com, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We've raised $65 million from Silicon Valley's finest; Including Emergence Capital, Scale Venture Partners, YC, the founders of Twilio, Affirm, ElevenLabs, and many more. About the Role As a Senior Infrastructure Engineer at Bland, you'll help us to build the backbone that enables millions of AI-powered phone conversations. You're not just keeping servers running, you're architecting distributed systems that handle real-time voice processing, scale ML inference, and integrate with enterprise telephony infrastructure. Your work directly determines whether our platform can handle business-defining call volumes for our customers, or leaves them with dead air. What You'll Do - Contribute to the designing of scalable architecture: Build distributed systems using Kubernetes that handle high-volume, real-time voice processing with strict latency and reliability requirements. - Build and Support ML infrastructure: Create and optimize the infrastructure supporting our AI models, from training pipelines to real-time inference serving across multiple regions. - Integrate with telephony: Maintain robust connections between our platform and complex enterprise phone systems, SIP trunks, and VoIP infrastructure. - Recognize Flaws, Control for them: We're building a new type of architecture that takes something from Column A, and Column B. We're never going to get it perfect, so you'll be helping us keep a look out for what we need 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": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "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.2bc9c8ff5f620d38a5", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "2d986a6f9ede9a2065db2d4c6bb6d584", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Infrastructure Engineer San Francisco About Bland At Bland.com http://Bland.com, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We've raised $65 million from Silicon Valley's finest; Including Emergence Capital, Scale Venture Partners, YC, the founders of Twilio, Affirm, ElevenLabs, and many more. About the Role As a Senior Infrastructure Engineer at Bland, you'll help us to build the backbone that enables millions of AI-powered phone conversations. You're not just keeping servers running, you're architecting distributed systems that handle real-time voice processing, scale ML inference, and integrate with enterprise telephony infrastructure. Your work directly determines whether our platform can handle business-defining call volumes for our customers, or leaves them with dead air. What You'll Do - Contribute to the designing of scalable architecture: Build distributed systems using Kubernetes that handle high-volume, real-time voice processing with strict latency and reliability requirements. - Build and Support ML infrastructure: Create and optimize the infrastructure supporting our AI models, from training pipelines to real-time inference serving across multiple regions. - Integrate with telephony: Maintain robust connections between our platform and complex enterprise phone systems, SIP trunks, and VoIP infrastructure. - Recognize Flaws, Control for them: We're building a new type of architecture that takes something from Column A, and Column B. We're never going to get it perfect, so you'll be helping us keep a look out for what we need to", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:2d986a6f9ede9a2065db2d4c6bb6d584:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.fcdd52b63a30a3524f", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "2d986a6f9ede9a2065db2d4c6bb6d584", "signal_type": "query_match", "display_text": "Description: \"bland\"", "tooltip": "Description matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Infrastructure Engineer San Francisco About Bland At Bland.com http://Bland.com, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We've raised $65 million from Silicon Valley's finest; Including Emergence Capital, Scale Venture Partners, YC, the founders of Twilio, Affirm, ElevenLabs, and many more. About the Role As a Senior Infrastructure Engineer at Bland, you'll help us to build the backbone that enables millions of AI-powered phone conversations. You're not just keeping servers running, you're architecting distributed systems that handle real-time voice processing, scale ML inference, and integrate with enterprise telephony infrastructure. Your work directly determines whether our platform can handle business-defining call volumes for our customers, or leaves them with dead air. What You'll Do - Contribute to the designing of scalable architecture: Build distributed systems using Kubernetes that handle high-volume, real-time voice processing with strict latency and reliability requirements. - Build and Support ML infrastructure: Create and optimize the infrastructure supporting our AI models, from training pipelines to real-time inference serving across multiple regions. - Integrate with telephony: Maintain robust connections between our platform and complex enterprise phone systems, SIP trunks, and VoIP infrastructure. - Recognize Flaws, Control for them: We're building a new type of architecture that takes something from Column A, and Column B. We're never going to get it perfect, so you'll be helping us keep a look out for what we need to", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:2d986a6f9ede9a2065db2d4c6bb6d584:description:bland", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.5003a8990b8ae9edbb", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "2d986a6f9ede9a2065db2d4c6bb6d584", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:2d986a6f9ede9a2065db2d4c6bb6d584:employer:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.7d46c3d396adef0b7e", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "2d986a6f9ede9a2065db2d4c6bb6d584", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:2d986a6f9ede9a2065db2d4c6bb6d584:employer:bland", "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.semantic.employer_name.87c8c936b7bcd2c62b", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "2d986a6f9ede9a2065db2d4c6bb6d584", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:fbb7e9c2208d371316da658c", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.97d14ce22326c1de41", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "2d986a6f9ede9a2065db2d4c6bb6d584", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer contains \"bland\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.ba226a40b8616c5a15", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "2d986a6f9ede9a2065db2d4c6bb6d584", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.09a75ecc8e29b71027", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "2d986a6f9ede9a2065db2d4c6bb6d584", "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": "bland ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:2d986a6f9ede9a2065db2d4c6bb6d584:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/bland/a3a383e0-9c15-4777-a95b-536cb8c1174c", "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/bland/a3a383e0-9c15-4777-a95b-536cb8c1174c", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "b79739ae76843196bf6938f5670006d3", "title": "Customer Engineer", "employer_name": "Bland AI", "employer_slug": "bland-ai", "location_text": "San Francisco", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/bland/804fbd27-027e-4de5-8a6f-77241a65e599", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Customer Engineer San Francisco ABOUT BLAND AI We're a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. We have grown to a 60+ person team, and we serve customers like Better.com http://Better.com, by delivering the most friendly, helpful, and human-like AI phone agents in the world. WHY THIS ROLE EXISTS We are looking for a detail-oriented and customer-obsessed Customer Engineer to join our customer team. In this role, you will be the go-to person for addressing customer issues, troubleshooting technical problems, and ensuring our users-including developers-have a seamless experience with Bland. You'll work closely with internal teams to resolve challenges efficiently, advocate for the needs of both end-users and developers, and help foster a positive, informed developer community. WHAT YOU WILL DO: - Serve as the primary point of contact for enterprise customers and developers seeking technical assistance via email, Slack, video calls, and community channels (e.g., Discord). - Triage, debug, and resolve technical issues across the platform, owning first pass investigation and driving tickets to resolution within the internal ticketing system. - Collaborate with internal teams, including our Forward Deployed Engineering and Engineering teams, to ensure timely issue resolution and incorporate developer feedback into product improvements. - Build and maintain internal dashboards and workflows that support day to day admin tasks, automate manual processes, and provide visibility into customer health, support performance, and revenue. - Maintain accurate and detailed documentation of customer interactions, issues, and resolutions. -", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "customer_success", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "series_b", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.147c3f18b641b8a083", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "b79739ae76843196bf6938f5670006d3", "signal_type": "query_match", "display_text": "Description: \"bland\"", "tooltip": "Description matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Customer Engineer San Francisco ABOUT BLAND AI We're a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. We have grown to a 60+ person team, and we serve customers like Better.com http://Better.com, by delivering the most friendly, helpful, and human-like AI phone agents in the world. WHY THIS ROLE EXISTS We are looking for a detail-oriented and customer-obsessed Customer Engineer to join our customer team. In this role, you will be the go-to person for addressing customer issues, troubleshooting technical problems, and ensuring our users-including developers-have a seamless experience with Bland. You'll work closely with internal teams to resolve challenges efficiently, advocate for the needs of both end-users and developers, and help foster a positive, informed developer community. WHAT YOU WILL DO: - Serve as the primary point of contact for enterprise customers and developers seeking technical assistance via email, Slack, video calls, and community channels (e.g., Discord). - Triage, debug, and resolve technical issues across the platform, owning first pass investigation and driving tickets to resolution within the internal ticketing system. - Collaborate with internal teams, including our Forward Deployed Engineering and Engineering teams, to ensure timely issue resolution and incorporate developer feedback into product improvements. - Build and maintain internal dashboards and workflows that support day to day admin tasks, automate manual processes, and provide visibility into customer health, support performance, and revenue. - Maintain accurate and detailed documentation of customer interactions, issues, and resolutions. -", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:b79739ae76843196bf6938f5670006d3:description:bland", "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.f14e6ab824bdbe039b", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "b79739ae76843196bf6938f5670006d3", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Customer Engineer San Francisco ABOUT BLAND AI We're a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. We have grown to a 60+ person team, and we serve customers like Better.com http://Better.com, by delivering the most friendly, helpful, and human-like AI phone agents in the world. WHY THIS ROLE EXISTS We are looking for a detail-oriented and customer-obsessed Customer Engineer to join our customer team. In this role, you will be the go-to person for addressing customer issues, troubleshooting technical problems, and ensuring our users-including developers-have a seamless experience with Bland. You'll work closely with internal teams to resolve challenges efficiently, advocate for the needs of both end-users and developers, and help foster a positive, informed developer community. WHAT YOU WILL DO: - Serve as the primary point of contact for enterprise customers and developers seeking technical assistance via email, Slack, video calls, and community channels (e.g., Discord). - Triage, debug, and resolve technical issues across the platform, owning first pass investigation and driving tickets to resolution within the internal ticketing system. - Collaborate with internal teams, including our Forward Deployed Engineering and Engineering teams, to ensure timely issue resolution and incorporate developer feedback into product improvements. - Build and maintain internal dashboards and workflows that support day to day admin tasks, automate manual processes, and provide visibility into customer health, support performance, and revenue. - Maintain accurate and detailed documentation of customer interactions, issues, and resolutions. -", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:b79739ae76843196bf6938f5670006d3:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.930ef48f948f163c74", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "b79739ae76843196bf6938f5670006d3", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:b79739ae76843196bf6938f5670006d3:employer:bland", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.d9bd9bc1f2cd8eecd4", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "b79739ae76843196bf6938f5670006d3", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:b79739ae76843196bf6938f5670006d3:employer:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.689b8eb0bfb6a69139", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "b79739ae76843196bf6938f5670006d3", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:06cdd83bfd8e5ca2debe73b9", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.9514c9d964bd926678", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "b79739ae76843196bf6938f5670006d3", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.9a869d77c37ea4a49b", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "b79739ae76843196bf6938f5670006d3", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer contains \"bland\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "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/bland/804fbd27-027e-4de5-8a6f-77241a65e599", "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/bland/804fbd27-027e-4de5-8a6f-77241a65e599", "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/bland/804fbd27-027e-4de5-8a6f-77241a65e599", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "8297b83d2c0dcd30a1e2137226c6f47f", "title": "Content Marketing Lead", "employer_name": "Bland AI", "employer_slug": "bland-ai", "location_text": "San Francisco", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/bland/e1dcf90a-6bb9-4d09-8592-f06b40fca002", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Content Marketing Lead San Francisco About Bland AI We're a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. Bland.ai http://Bland.ai builds AI voice agents that handle real phone calls for some of the largest companies in the world. Our software runs inside critical workflows at companies like Samsara, Gallup, TripAdvisor, Snapchat, Signant Health, and others. About the role We're looking for a creative, AI-savvy Content Marketing Lead to develop and execute a content strategy that drives awareness and adoption of our company and products. You'll create high-impact, multi-media content targeting our buyer personas and developer community. The ideal candidate is a creative, resourceful, and data-driven marketer with a pulse on what's resonating in the AI space, and exceptional taste and discernment to level up our brand. What You'll Do - Develop and execute a multi-format content marketing strategy to increase awareness and adoption of our brand and products. - Create engaging and educational content and distribute it across multiple channels to our target audiences. This would include blog posts, social posts, and long-form technical guides. - Manage email marketing campaigns including lifecycle marketing emails, product newsletters, and customer communications. - Own our video strategy and produce high-quality video content such as customer stories, technical demos, product highlights, and brand videos. - Use AI to 10x yourself, but always do so while retaining taste and human warmth. Must-Have Qualities - Independent Operator: You can take a goal, design a", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "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": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "marketing", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "series_b", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.4e2002f71540915721", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "8297b83d2c0dcd30a1e2137226c6f47f", "signal_type": "query_match", "display_text": "Description: \"bland\"", "tooltip": "Description matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Content Marketing Lead San Francisco About Bland AI We're a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. Bland.ai http://Bland.ai builds AI voice agents that handle real phone calls for some of the largest companies in the world. Our software runs inside critical workflows at companies like Samsara, Gallup, TripAdvisor, Snapchat, Signant Health, and others. About the role We're looking for a creative, AI-savvy Content Marketing Lead to develop and execute a content strategy that drives awareness and adoption of our company and products. You'll create high-impact, multi-media content targeting our buyer personas and developer community. The ideal candidate is a creative, resourceful, and data-driven marketer with a pulse on what's resonating in the AI space, and exceptional taste and discernment to level up our brand. What You'll Do - Develop and execute a multi-format content marketing strategy to increase awareness and adoption of our brand and products. - Create engaging and educational content and distribute it across multiple channels to our target audiences. This would include blog posts, social posts, and long-form technical guides. - Manage email marketing campaigns including lifecycle marketing emails, product newsletters, and customer communications. - Own our video strategy and produce high-quality video content such as customer stories, technical demos, product highlights, and brand videos. - Use AI to 10x yourself, but always do so while retaining taste and human warmth. Must-Have Qualities - Independent Operator: You can take a goal, design a", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:8297b83d2c0dcd30a1e2137226c6f47f:description:bland", "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.72724e15068a07eb84", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "8297b83d2c0dcd30a1e2137226c6f47f", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Content Marketing Lead San Francisco About Bland AI We're a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. Bland.ai http://Bland.ai builds AI voice agents that handle real phone calls for some of the largest companies in the world. Our software runs inside critical workflows at companies like Samsara, Gallup, TripAdvisor, Snapchat, Signant Health, and others. About the role We're looking for a creative, AI-savvy Content Marketing Lead to develop and execute a content strategy that drives awareness and adoption of our company and products. You'll create high-impact, multi-media content targeting our buyer personas and developer community. The ideal candidate is a creative, resourceful, and data-driven marketer with a pulse on what's resonating in the AI space, and exceptional taste and discernment to level up our brand. What You'll Do - Develop and execute a multi-format content marketing strategy to increase awareness and adoption of our brand and products. - Create engaging and educational content and distribute it across multiple channels to our target audiences. This would include blog posts, social posts, and long-form technical guides. - Manage email marketing campaigns including lifecycle marketing emails, product newsletters, and customer communications. - Own our video strategy and produce high-quality video content such as customer stories, technical demos, product highlights, and brand videos. - Use AI to 10x yourself, but always do so while retaining taste and human warmth. Must-Have Qualities - Independent Operator: You can take a goal, design a", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:8297b83d2c0dcd30a1e2137226c6f47f:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.307d51e60eac27bea9", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "8297b83d2c0dcd30a1e2137226c6f47f", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:8297b83d2c0dcd30a1e2137226c6f47f:employer:bland", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.e151110824b364cd26", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "8297b83d2c0dcd30a1e2137226c6f47f", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:8297b83d2c0dcd30a1e2137226c6f47f:employer:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.f7e6bed3de85ef9582", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "8297b83d2c0dcd30a1e2137226c6f47f", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:02fc8aebbf80a5ae78d8e81a", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.5d2d32fc77ef3df63e", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "8297b83d2c0dcd30a1e2137226c6f47f", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.846ac11bf60062e51e", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "8297b83d2c0dcd30a1e2137226c6f47f", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer contains \"bland\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.49fb3322036246c60f", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "8297b83d2c0dcd30a1e2137226c6f47f", "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": "marketing", "matched_input": "bland ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:8297b83d2c0dcd30a1e2137226c6f47f:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/bland/e1dcf90a-6bb9-4d09-8592-f06b40fca002", "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/bland/e1dcf90a-6bb9-4d09-8592-f06b40fca002", "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/bland/e1dcf90a-6bb9-4d09-8592-f06b40fca002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "8e8f06d4415d00f90668bc51f4ca1a26", "title": "Growth Coordinator", "employer_name": "Bland AI", "employer_slug": "bland-ai", "location_text": "San Francisco", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/bland/cf147bb8-4bb1-4bd7-92e0-4f183ee2daa1", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Growth Coordinator San Francisco ABOUT BLAND AI We're a series B startup, and have raised $65 million from Emergence Capital, Scale Venture Partners, Y Combinator, and the founders of PayPal and Twilio. We have a 50 person team, and we serve customers like Clipboard Health and Better.com http://Better.com, by delivering the most friendly, helpful, and human-like AI phone agents in the world. WHY THIS ROLE EXISTS Our Growth team is shaping a global wave of enterprise adoption for world-changing technology, forever transforming how consumers interact with businesses. We're looking for someone to help lead our growth marketing efforts, drive the movement behind this transformation, and convey the value our platform brings to enterprise buyers. WHAT YOU'LL DO - Run Performance Marketing: Own the strategy, execution, and ongoing optimization for paid channels, such as Google, Meta, and LinkedIn. - Drive SEO: Research, plan, and execute SEO tactics to move Bland up search rankings with a secondary focus on optimizing our presence on Google AI Overviews, ChatGPT, and other AI platforms. - Own Content for Key Pages: Write and launch use case, case study, and GTM content on our site. - Social & Content Development: Draft creatives, schedule, and experiment with content across our social and site channels. You would be hands-on with ideating, writing, and executing. - Campaign Management: Track, report, and analyze all marketing campaigns. Measure KPIs, iterate, and communicate results clearly across the organization. - Brand & Messaging: Shape how Bland AI shows up in the world across every", "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": 3, "years_experience_max": 7, "role_function": "marketing", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "series_b", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.0c25a2f71f45110965", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "8e8f06d4415d00f90668bc51f4ca1a26", "signal_type": "query_match", "display_text": "Description: \"bland\"", "tooltip": "Description matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Growth Coordinator San Francisco ABOUT BLAND AI We're a series B startup, and have raised $65 million from Emergence Capital, Scale Venture Partners, Y Combinator, and the founders of PayPal and Twilio. We have a 50 person team, and we serve customers like Clipboard Health and Better.com http://Better.com, by delivering the most friendly, helpful, and human-like AI phone agents in the world. WHY THIS ROLE EXISTS Our Growth team is shaping a global wave of enterprise adoption for world-changing technology, forever transforming how consumers interact with businesses. We're looking for someone to help lead our growth marketing efforts, drive the movement behind this transformation, and convey the value our platform brings to enterprise buyers. WHAT YOU'LL DO - Run Performance Marketing: Own the strategy, execution, and ongoing optimization for paid channels, such as Google, Meta, and LinkedIn. - Drive SEO: Research, plan, and execute SEO tactics to move Bland up search rankings with a secondary focus on optimizing our presence on Google AI Overviews, ChatGPT, and other AI platforms. - Own Content for Key Pages: Write and launch use case, case study, and GTM content on our site. - Social & Content Development: Draft creatives, schedule, and experiment with content across our social and site channels. You would be hands-on with ideating, writing, and executing. - Campaign Management: Track, report, and analyze all marketing campaigns. Measure KPIs, iterate, and communicate results clearly across the organization. - Brand & Messaging: Shape how Bland AI shows up in the world across every", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:8e8f06d4415d00f90668bc51f4ca1a26:description:bland", "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.945928978148ca678a", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "8e8f06d4415d00f90668bc51f4ca1a26", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Growth Coordinator San Francisco ABOUT BLAND AI We're a series B startup, and have raised $65 million from Emergence Capital, Scale Venture Partners, Y Combinator, and the founders of PayPal and Twilio. We have a 50 person team, and we serve customers like Clipboard Health and Better.com http://Better.com, by delivering the most friendly, helpful, and human-like AI phone agents in the world. WHY THIS ROLE EXISTS Our Growth team is shaping a global wave of enterprise adoption for world-changing technology, forever transforming how consumers interact with businesses. We're looking for someone to help lead our growth marketing efforts, drive the movement behind this transformation, and convey the value our platform brings to enterprise buyers. WHAT YOU'LL DO - Run Performance Marketing: Own the strategy, execution, and ongoing optimization for paid channels, such as Google, Meta, and LinkedIn. - Drive SEO: Research, plan, and execute SEO tactics to move Bland up search rankings with a secondary focus on optimizing our presence on Google AI Overviews, ChatGPT, and other AI platforms. - Own Content for Key Pages: Write and launch use case, case study, and GTM content on our site. - Social & Content Development: Draft creatives, schedule, and experiment with content across our social and site channels. You would be hands-on with ideating, writing, and executing. - Campaign Management: Track, report, and analyze all marketing campaigns. Measure KPIs, iterate, and communicate results clearly across the organization. - Brand & Messaging: Shape how Bland AI shows up in the world across every", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:8e8f06d4415d00f90668bc51f4ca1a26:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.d5321bf6623f8a0174", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "8e8f06d4415d00f90668bc51f4ca1a26", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:8e8f06d4415d00f90668bc51f4ca1a26:employer:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.e714f3b649034a6d1a", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "8e8f06d4415d00f90668bc51f4ca1a26", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:8e8f06d4415d00f90668bc51f4ca1a26:employer:bland", "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.semantic.employer_name.46b0b711de6060c1df", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "8e8f06d4415d00f90668bc51f4ca1a26", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:8d4b02391d169921e7d43c3b", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.166f5199e5cafbe9a3", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "8e8f06d4415d00f90668bc51f4ca1a26", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer contains \"bland\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.41b34a0eccd125fdfb", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "8e8f06d4415d00f90668bc51f4ca1a26", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "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/bland/cf147bb8-4bb1-4bd7-92e0-4f183ee2daa1", "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/bland/cf147bb8-4bb1-4bd7-92e0-4f183ee2daa1", "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/bland/cf147bb8-4bb1-4bd7-92e0-4f183ee2daa1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "5cb598aa79caab4ef904cadaffc84788", "title": "Machine Learning Researcher, Audio", "employer_name": "Bland AI", "employer_slug": "bland-ai", "location_text": "San Francisco", "country": "US", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/bland/2e815d0d-8e7a-43cc-8853-c1b029aeb499", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Machine Learning Researcher, Audio San Francisco MACHINE LEARNING RESEARCHER, AUDIO Location: San Francisco, CA or Remote (US) ABOUT BLAND At Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Based in San Francisco, we are a fast-growing team reimagining how customers interact with businesses through voice. We have raised $65 million from leading Silicon Valley investors, including Emergence Capital, Scale Venture Partners, Y Combinator, and founders of Twilio, Affirm, and ElevenLabs. Voice is quickly becoming the primary interface between businesses and their customers. We are building the models and infrastructure that make those interactions feel natural, reliable, and genuinely human. THE ROLE: MACHINE LEARNING RESEARCHER, AUDIO As a Machine Learning Researcher at Bland, you'll be working on foundational research and development across the core components of our voice stack: speech-to-text, large language models, neural audio codecs, and text-to-speech. Your work will define how our agents understand, reason, and speak in real time at enterprise scale. This is not a narrow research role. You will take ideas from theory to large-scale training to production inference systems serving millions of calls per day. You will design new modeling approaches, validate them with rigorous experimentation, and collaborate with engineering teams to deploy them into real customer environments. WHAT YOU WILL DO Build and Scale Next-Generation TTS Systems - Design and train large scale text-to-speech models capable of expressive, controllable, human-sounding output. - Develop neural audio codec-based TTS architectures for efficient, high-fidelity generation. - Improve prosody modeling, question inflection,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 51, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "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": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.12d704268d67ff5a93", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "5cb598aa79caab4ef904cadaffc84788", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Machine Learning Researcher, Audio San Francisco MACHINE LEARNING RESEARCHER, AUDIO Location: San Francisco, CA or Remote (US) ABOUT BLAND At Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Based in San Francisco, we are a fast-growing team reimagining how customers interact with businesses through voice. We have raised $65 million from leading Silicon Valley investors, including Emergence Capital, Scale Venture Partners, Y Combinator, and founders of Twilio, Affirm, and ElevenLabs. Voice is quickly becoming the primary interface between businesses and their customers. We are building the models and infrastructure that make those interactions feel natural, reliable, and genuinely human. THE ROLE: MACHINE LEARNING RESEARCHER, AUDIO As a Machine Learning Researcher at Bland, you'll be working on foundational research and development across the core components of our voice stack: speech-to-text, large language models, neural audio codecs, and text-to-speech. Your work will define how our agents understand, reason, and speak in real time at enterprise scale. This is not a narrow research role. You will take ideas from theory to large-scale training to production inference systems serving millions of calls per day. You will design new modeling approaches, validate them with rigorous experimentation, and collaborate with engineering teams to deploy them into real customer environments. WHAT YOU WILL DO Build and Scale Next-Generation TTS Systems - Design and train large scale text-to-speech models capable of expressive, controllable, human-sounding output. - Develop neural audio codec-based TTS architectures for efficient, high-fidelity generation. - Improve prosody modeling, question inflection,", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:5cb598aa79caab4ef904cadaffc84788:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.9f8b8326520346ef61", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "5cb598aa79caab4ef904cadaffc84788", "signal_type": "query_match", "display_text": "Description: \"bland\"", "tooltip": "Description matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Machine Learning Researcher, Audio San Francisco MACHINE LEARNING RESEARCHER, AUDIO Location: San Francisco, CA or Remote (US) ABOUT BLAND At Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Based in San Francisco, we are a fast-growing team reimagining how customers interact with businesses through voice. We have raised $65 million from leading Silicon Valley investors, including Emergence Capital, Scale Venture Partners, Y Combinator, and founders of Twilio, Affirm, and ElevenLabs. Voice is quickly becoming the primary interface between businesses and their customers. We are building the models and infrastructure that make those interactions feel natural, reliable, and genuinely human. THE ROLE: MACHINE LEARNING RESEARCHER, AUDIO As a Machine Learning Researcher at Bland, you'll be working on foundational research and development across the core components of our voice stack: speech-to-text, large language models, neural audio codecs, and text-to-speech. Your work will define how our agents understand, reason, and speak in real time at enterprise scale. This is not a narrow research role. You will take ideas from theory to large-scale training to production inference systems serving millions of calls per day. You will design new modeling approaches, validate them with rigorous experimentation, and collaborate with engineering teams to deploy them into real customer environments. WHAT YOU WILL DO Build and Scale Next-Generation TTS Systems - Design and train large scale text-to-speech models capable of expressive, controllable, human-sounding output. - Develop neural audio codec-based TTS architectures for efficient, high-fidelity generation. - Improve prosody modeling, question inflection,", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:5cb598aa79caab4ef904cadaffc84788:description:bland", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.9e4b55ffe344e69d43", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "5cb598aa79caab4ef904cadaffc84788", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:5cb598aa79caab4ef904cadaffc84788:employer:bland", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.d73d3d921b34c985d1", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "5cb598aa79caab4ef904cadaffc84788", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:5cb598aa79caab4ef904cadaffc84788:employer:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.d35530b6454de7e412", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "5cb598aa79caab4ef904cadaffc84788", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:c85cdcc95ffe5cf675fa20a9", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.611308e4047d4c1584", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "5cb598aa79caab4ef904cadaffc84788", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer contains \"bland\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.b06becf243a3f45d1b", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "5cb598aa79caab4ef904cadaffc84788", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.add72ede14c3434ac2", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "5cb598aa79caab4ef904cadaffc84788", "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": "bland ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:5cb598aa79caab4ef904cadaffc84788:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/bland/2e815d0d-8e7a-43cc-8853-c1b029aeb499", "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/bland/2e815d0d-8e7a-43cc-8853-c1b029aeb499", "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/bland/2e815d0d-8e7a-43cc-8853-c1b029aeb499", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "d57764c7ec3d847058da2fe8545b7559", "title": "Forward Deployed Engineer", "employer_name": "Bland AI", "employer_slug": "bland-ai", "location_text": "San Francisco | OnSite", "country": "US", "employment_type": "unknown", "remote_status": "onsite", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/bland/824f7ebb-6d71-4484-bc7d-a2bcd4441a70", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Forward Deployed Engineer San Francisco | OnSite Forward Deployed Engineer ABOUT BLAND AI We're a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. Bland.ai http://Bland.ai builds AI voice agents that handle real phone calls for some of the largest companies in the world. Our software runs inside critical workflows at companies like Samsara, Gallup, TripAdvisor, Snapchat, Signant Health, Better.com http://Better.com, and others. WHY THIS ROLE EXISTS Every customer is different - the problems they're solving, the data they have, and the impact they want to create with AI. We're looking for someone who thrives in that ambiguity, who can take fuzzy goals and transform them into working, production-ready agents that deliver real value. You'll work directly with customers to understand their workflows, build tailored agents, and help shape how Bland is adopted across their organization. What You'll Do - Design and deploy AI solutions. Work closely with customers to translate their challenges into functional agents, integrating APIs and data sources to automate real business processes. - Prototype fast, iterate faster. Build the first version quickly, get it into production, and refine based on real-world feedback. - Collaborate deeply. Partner with customer teams across engineering, product, and operations to ensure the agent performs, scales, and delivers measurable outcomes. - Own end-to-end delivery. From discovery call to deployment, you'll lead the technical build, testing, and iteration - ensuring the experience feels natural, human, and on-brand. - Drive adoption and expansion.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "series_b", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": 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.3b437b530efd8029fb", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "d57764c7ec3d847058da2fe8545b7559", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Forward Deployed Engineer San Francisco | OnSite Forward Deployed Engineer ABOUT BLAND AI We're a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. Bland.ai http://Bland.ai builds AI voice agents that handle real phone calls for some of the largest companies in the world. Our software runs inside critical workflows at companies like Samsara, Gallup, TripAdvisor, Snapchat, Signant Health, Better.com http://Better.com, and others. WHY THIS ROLE EXISTS Every customer is different - the problems they're solving, the data they have, and the impact they want to create with AI. We're looking for someone who thrives in that ambiguity, who can take fuzzy goals and transform them into working, production-ready agents that deliver real value. You'll work directly with customers to understand their workflows, build tailored agents, and help shape how Bland is adopted across their organization. What You'll Do - Design and deploy AI solutions. Work closely with customers to translate their challenges into functional agents, integrating APIs and data sources to automate real business processes. - Prototype fast, iterate faster. Build the first version quickly, get it into production, and refine based on real-world feedback. - Collaborate deeply. Partner with customer teams across engineering, product, and operations to ensure the agent performs, scales, and delivers measurable outcomes. - Own end-to-end delivery. From discovery call to deployment, you'll lead the technical build, testing, and iteration - ensuring the experience feels natural, human, and on-brand. - Drive adoption and expansion.", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:d57764c7ec3d847058da2fe8545b7559:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.8c7a6ff288dd329fb3", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "d57764c7ec3d847058da2fe8545b7559", "signal_type": "query_match", "display_text": "Description: \"bland\"", "tooltip": "Description matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Forward Deployed Engineer San Francisco | OnSite Forward Deployed Engineer ABOUT BLAND AI We're a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. Bland.ai http://Bland.ai builds AI voice agents that handle real phone calls for some of the largest companies in the world. Our software runs inside critical workflows at companies like Samsara, Gallup, TripAdvisor, Snapchat, Signant Health, Better.com http://Better.com, and others. WHY THIS ROLE EXISTS Every customer is different - the problems they're solving, the data they have, and the impact they want to create with AI. We're looking for someone who thrives in that ambiguity, who can take fuzzy goals and transform them into working, production-ready agents that deliver real value. You'll work directly with customers to understand their workflows, build tailored agents, and help shape how Bland is adopted across their organization. What You'll Do - Design and deploy AI solutions. Work closely with customers to translate their challenges into functional agents, integrating APIs and data sources to automate real business processes. - Prototype fast, iterate faster. Build the first version quickly, get it into production, and refine based on real-world feedback. - Collaborate deeply. Partner with customer teams across engineering, product, and operations to ensure the agent performs, scales, and delivers measurable outcomes. - Own end-to-end delivery. From discovery call to deployment, you'll lead the technical build, testing, and iteration - ensuring the experience feels natural, human, and on-brand. - Drive adoption and expansion.", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:d57764c7ec3d847058da2fe8545b7559:description:bland", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.27611f3bae61889ca6", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "d57764c7ec3d847058da2fe8545b7559", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:d57764c7ec3d847058da2fe8545b7559:employer:bland", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.d2e9a89b515f3cfe11", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "d57764c7ec3d847058da2fe8545b7559", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:d57764c7ec3d847058da2fe8545b7559:employer:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.cb6af095ea3a4b877f", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "d57764c7ec3d847058da2fe8545b7559", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:52e39ad073453873e0656ec7", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.333fd685effebbf636", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "d57764c7ec3d847058da2fe8545b7559", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.b00b8691e90a921863", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "d57764c7ec3d847058da2fe8545b7559", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer contains \"bland\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.a156f807df0720a81c", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "d57764c7ec3d847058da2fe8545b7559", "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": "bland ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:d57764c7ec3d847058da2fe8545b7559:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/bland/824f7ebb-6d71-4484-bc7d-a2bcd4441a70", "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/bland/824f7ebb-6d71-4484-bc7d-a2bcd4441a70", "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/bland/824f7ebb-6d71-4484-bc7d-a2bcd4441a70", "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/bland/824f7ebb-6d71-4484-bc7d-a2bcd4441a70", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "67d132359360dd54c0deb067070d5fde", "title": "Mid-Market Account Executive", "employer_name": "Bland AI", "employer_slug": "bland-ai", "location_text": "San Francisco", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/bland/56f3fd9f-4018-4bbf-9208-4831449b4792", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Mid-Market Account Executive San Francisco ABOUT THE ROLE We're looking for a high-performing Mid-Market Account Executive to drive net new revenue for Bland. You'll run the full sales cycle - from outbound prospecting to close - selling our Voice AI platform to Mid-Market organizations. This is a fit if you love fast sales cycles, technical products, and building your own pipeline. WHAT YOU'LL DO - Run efficient discovery and qualification in a single call - you'll dig deep into pain and establish fit fast. - Deliver value-focused demos that connect customer pain to product capabilities. No generic product tours. - Multi-thread across stakeholders, including product, technology, operations, and IT leaders - and do it early. - Prioritize ruthlessly - you'll manage a high volume of deals without letting pipeline hygiene or close rates slip. - Self-source pipeline through outbound, event follow-up, and creative plays. You won't wait around for leads. WHAT YOU KNOW - MEDDPICC - You've internalized the framework and know how to qualify deeply, forecast accurately, and identify risk early. - Mid-Market SaaS Sales - You've worked 1-3 month cycles where urgency needs to be created, not assumed. - Voice AI Fundamentals - You understand LLMs, APIs, and use cases like call deflection or agent assist - and can explain them without sounding like ChatGPT. - Solution Selling - You connect product features to real business outcomes - like driving operational efficiencies or reducing risks. - Buying Triggers and Personas - You know what pushes a mid-market team", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "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": 2, "years_experience_max": 7, "role_function": "sales", "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.f09933ca3175099eba", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "67d132359360dd54c0deb067070d5fde", "signal_type": "query_match", "display_text": "Description: \"bland\"", "tooltip": "Description matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Mid-Market Account Executive San Francisco ABOUT THE ROLE We're looking for a high-performing Mid-Market Account Executive to drive net new revenue for Bland. You'll run the full sales cycle - from outbound prospecting to close - selling our Voice AI platform to Mid-Market organizations. This is a fit if you love fast sales cycles, technical products, and building your own pipeline. WHAT YOU'LL DO - Run efficient discovery and qualification in a single call - you'll dig deep into pain and establish fit fast. - Deliver value-focused demos that connect customer pain to product capabilities. No generic product tours. - Multi-thread across stakeholders, including product, technology, operations, and IT leaders - and do it early. - Prioritize ruthlessly - you'll manage a high volume of deals without letting pipeline hygiene or close rates slip. - Self-source pipeline through outbound, event follow-up, and creative plays. You won't wait around for leads. WHAT YOU KNOW - MEDDPICC - You've internalized the framework and know how to qualify deeply, forecast accurately, and identify risk early. - Mid-Market SaaS Sales - You've worked 1-3 month cycles where urgency needs to be created, not assumed. - Voice AI Fundamentals - You understand LLMs, APIs, and use cases like call deflection or agent assist - and can explain them without sounding like ChatGPT. - Solution Selling - You connect product features to real business outcomes - like driving operational efficiencies or reducing risks. - Buying Triggers and Personas - You know what pushes a mid-market team", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:67d132359360dd54c0deb067070d5fde:description:bland", "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.f2501b2c0f7aba0e0c", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "67d132359360dd54c0deb067070d5fde", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Mid-Market Account Executive San Francisco ABOUT THE ROLE We're looking for a high-performing Mid-Market Account Executive to drive net new revenue for Bland. You'll run the full sales cycle - from outbound prospecting to close - selling our Voice AI platform to Mid-Market organizations. This is a fit if you love fast sales cycles, technical products, and building your own pipeline. WHAT YOU'LL DO - Run efficient discovery and qualification in a single call - you'll dig deep into pain and establish fit fast. - Deliver value-focused demos that connect customer pain to product capabilities. No generic product tours. - Multi-thread across stakeholders, including product, technology, operations, and IT leaders - and do it early. - Prioritize ruthlessly - you'll manage a high volume of deals without letting pipeline hygiene or close rates slip. - Self-source pipeline through outbound, event follow-up, and creative plays. You won't wait around for leads. WHAT YOU KNOW - MEDDPICC - You've internalized the framework and know how to qualify deeply, forecast accurately, and identify risk early. - Mid-Market SaaS Sales - You've worked 1-3 month cycles where urgency needs to be created, not assumed. - Voice AI Fundamentals - You understand LLMs, APIs, and use cases like call deflection or agent assist - and can explain them without sounding like ChatGPT. - Solution Selling - You connect product features to real business outcomes - like driving operational efficiencies or reducing risks. - Buying Triggers and Personas - You know what pushes a mid-market team", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:67d132359360dd54c0deb067070d5fde:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.311bbd0a46dfbbabef", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "67d132359360dd54c0deb067070d5fde", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:67d132359360dd54c0deb067070d5fde:employer:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.d5159dd11cd4ad5988", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "67d132359360dd54c0deb067070d5fde", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:67d132359360dd54c0deb067070d5fde:employer:bland", "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.semantic.employer_name.233ee790108512e130", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "67d132359360dd54c0deb067070d5fde", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:6244694732bab5dd6e595672", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.b97b559c23715cd29a", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "67d132359360dd54c0deb067070d5fde", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.bccd697ba5456cfddf", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "67d132359360dd54c0deb067070d5fde", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer contains \"bland\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "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/bland/56f3fd9f-4018-4bbf-9208-4831449b4792", "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/bland/56f3fd9f-4018-4bbf-9208-4831449b4792", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "9657cb93c93f66e15c4c1e57e3a8b513", "title": "Machine Learning Researcher, Multimodal LLMs", "employer_name": "Bland AI", "employer_slug": "bland-ai", "location_text": "San Francisco", "country": "US", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/bland/681dfcda-f016-4bda-826e-7e813fae0083", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Machine Learning Researcher, Multimodal LLMs San Francisco MACHINE LEARNING RESEARCHER, MULTIMODAL LLMS Location: San Francisco, CA or Remote (US) ABOUT BLAND At Bland.com http://Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Voice is quickly becoming the primary interface between businesses and their customers, and we are building the models and infrastructure that make those interactions feel natural, reliable, and genuinely human. We've raised $65M from leading investors including Emergence Capital, Scale Venture Partners, Y Combinator, and founders of Twilio, Affirm, and ElevenLabs. THE ROLE We are looking for someone to contribute to the development of our next-generation multimodal LLM stack, combining speech, text, tools, and real-time reasoning into a single unified system. You'll be responsible for building industry-leading conversational AI models that power Bland's agent, and taking them all the way from idea to production. At Bland, we're not just thinking about text modeling. You will define how our agents listen, think, and act in real time, integrating streaming audio, tool execution, and dynamic context into a single coherent system. You will take ideas from research through production systems serving millions of calls per day. WHAT MAKES YOU A GREAT FIT Strong LLM / Multimodal Background - Experience with LLMs, multimodal models, or speech-language systems - Deep understanding of prompting, fine-tuning, and alignment techniques - Familiarity with neural audio codecs and modern multimodal LLM techniques Fast Experimental Loop - You can go from idea → dataset → experiment → conclusion in days - You", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 51, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "series_b", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": 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.3729d5ac95f0752b93", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "9657cb93c93f66e15c4c1e57e3a8b513", "signal_type": "query_match", "display_text": "Description: \"bland\"", "tooltip": "Description matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Machine Learning Researcher, Multimodal LLMs San Francisco MACHINE LEARNING RESEARCHER, MULTIMODAL LLMS Location: San Francisco, CA or Remote (US) ABOUT BLAND At Bland.com http://Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Voice is quickly becoming the primary interface between businesses and their customers, and we are building the models and infrastructure that make those interactions feel natural, reliable, and genuinely human. We've raised $65M from leading investors including Emergence Capital, Scale Venture Partners, Y Combinator, and founders of Twilio, Affirm, and ElevenLabs. THE ROLE We are looking for someone to contribute to the development of our next-generation multimodal LLM stack, combining speech, text, tools, and real-time reasoning into a single unified system. You'll be responsible for building industry-leading conversational AI models that power Bland's agent, and taking them all the way from idea to production. At Bland, we're not just thinking about text modeling. You will define how our agents listen, think, and act in real time, integrating streaming audio, tool execution, and dynamic context into a single coherent system. You will take ideas from research through production systems serving millions of calls per day. WHAT MAKES YOU A GREAT FIT Strong LLM / Multimodal Background - Experience with LLMs, multimodal models, or speech-language systems - Deep understanding of prompting, fine-tuning, and alignment techniques - Familiarity with neural audio codecs and modern multimodal LLM techniques Fast Experimental Loop - You can go from idea → dataset → experiment → conclusion in days - You", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:9657cb93c93f66e15c4c1e57e3a8b513:description:bland", "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.d91b77cde8c3e93051", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "9657cb93c93f66e15c4c1e57e3a8b513", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Machine Learning Researcher, Multimodal LLMs San Francisco MACHINE LEARNING RESEARCHER, MULTIMODAL LLMS Location: San Francisco, CA or Remote (US) ABOUT BLAND At Bland.com http://Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Voice is quickly becoming the primary interface between businesses and their customers, and we are building the models and infrastructure that make those interactions feel natural, reliable, and genuinely human. We've raised $65M from leading investors including Emergence Capital, Scale Venture Partners, Y Combinator, and founders of Twilio, Affirm, and ElevenLabs. THE ROLE We are looking for someone to contribute to the development of our next-generation multimodal LLM stack, combining speech, text, tools, and real-time reasoning into a single unified system. You'll be responsible for building industry-leading conversational AI models that power Bland's agent, and taking them all the way from idea to production. At Bland, we're not just thinking about text modeling. You will define how our agents listen, think, and act in real time, integrating streaming audio, tool execution, and dynamic context into a single coherent system. You will take ideas from research through production systems serving millions of calls per day. WHAT MAKES YOU A GREAT FIT Strong LLM / Multimodal Background - Experience with LLMs, multimodal models, or speech-language systems - Deep understanding of prompting, fine-tuning, and alignment techniques - Familiarity with neural audio codecs and modern multimodal LLM techniques Fast Experimental Loop - You can go from idea → dataset → experiment → conclusion in days - You", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:9657cb93c93f66e15c4c1e57e3a8b513:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.2afa462de919596d1c", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "9657cb93c93f66e15c4c1e57e3a8b513", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:9657cb93c93f66e15c4c1e57e3a8b513:employer:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.55768cd3cace27d057", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "9657cb93c93f66e15c4c1e57e3a8b513", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:9657cb93c93f66e15c4c1e57e3a8b513:employer:bland", "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.semantic.employer_name.fef21d8135fccb175c", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "9657cb93c93f66e15c4c1e57e3a8b513", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:f7d53ef2d7ada3edaf8b18c5", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.578b61859d1e1fe556", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "9657cb93c93f66e15c4c1e57e3a8b513", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.6dceff9754b91a4127", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "9657cb93c93f66e15c4c1e57e3a8b513", "signal_type": "query_match", "display_text": "Employer: \"bland\"", "tooltip": "Employer contains \"bland\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Bland AI", "matched_input": "bland", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.84e3c989381dfe6b1d", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "9657cb93c93f66e15c4c1e57e3a8b513", "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": "bland ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:9657cb93c93f66e15c4c1e57e3a8b513:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/bland/681dfcda-f016-4bda-826e-7e813fae0083", "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/bland/681dfcda-f016-4bda-826e-7e813fae0083", "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/bland/681dfcda-f016-4bda-826e-7e813fae0083", "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/bland/681dfcda-f016-4bda-826e-7e813fae0083", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "9311592edecb3fbfa04b8486100a285c", "title": "ELECTRONIC MEASUREMENT EQUIPMENT MECHANIC (TITLE 32)", "employer_name": "Department of the Army", "employer_slug": "department-of-the-army", "location_text": "Camp Blanding, Florida", "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": "GBP", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-09T09:27:40.000Z", "apply_url": "https://www.usajobs.gov:443/job/872270200", "apply_url_verified": false, "ats": "usajobs", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "ELECTRONIC MEASUREMENT EQUIPMENT MECHANIC (TITLE 32) Camp Blanding, Florida Summary This National Guard position is for an Electronic Measurement Equipment Mechanic (TITLE 32), Position Description Number D1201000 and is part of the CSMS, Camp Blanding, Florida National Guard. Duties As an Electronic Measurement Equipment Mechanic, WG-2602-11, you will perform calibration, diagnostics repair, and certification of electronic, mechanical, and radiation Test Measurement and Diagnostic Equipment (TMDE); calibrate and repair TMDE within support capability and authority including various levels of calibration as designated in technical bulletins, manuals, etc., set up system test sets and various types of test equipment such as frequency meters, standing wave ratio meters, radio frequency (RF) power meters, function/ arbitrary waveform generator, distortion analyzers, time frequency work stations, oscillators, voltmeters, electronic counters, oscilloscopes, attenuators, decade resistors and capacitors, signal generators, stroboscope, tachometers, pneumatic and hydraulic pressure standards and other physical and electronic tests; complete necessary Army Maintenance Management System (TAMMS), calibration, radiation reports and other records and forms on work completed PHYSICAL EFFORT: Physical effort involves lifting components and equipment, also working in tiring and uncomfortable positions. Items lifted generally weigh up to 40 pounds. Assistance is usually available with heavier items. WORKING CONDITIONS: Work is performed inside in well-lighted, heated and ventilated areas or on the aircraft in restricted places, where conditions of heat or cold may occur. Occasionally works outside in inclement weather. Subject to injuries such as electrical shock, cuts and bruises, as well as burns caused by electrical or radio frequency energy, or by", "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": [ "FL" ], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "hire_states_allowed": { "field": "hire_states_allowed", "source": "rule:state_eligibility", "db_column": "hire_states_allowed" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "trades", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Defense", "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.5aa50b53433217f541", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "9311592edecb3fbfa04b8486100a285c", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "ELECTRONIC MEASUREMENT EQUIPMENT MECHANIC (TITLE 32) Camp Blanding, Florida Summary This National Guard position is for an Electronic Measurement Equipment Mechanic (TITLE 32), Position Description Number D1201000 and is part of the CSMS, Camp Blanding, Florida National Guard. Duties As an Electronic Measurement Equipment Mechanic, WG-2602-11, you will perform calibration, diagnostics repair, and certification of electronic, mechanical, and radiation Test Measurement and Diagnostic Equipment (TMDE); calibrate and repair TMDE within support capability and authority including various levels of calibration as designated in technical bulletins, manuals, etc., set up system test sets and various types of test equipment such as frequency meters, standing wave ratio meters, radio frequency (RF) power meters, function/ arbitrary waveform generator, distortion analyzers, time frequency work stations, oscillators, voltmeters, electronic counters, oscilloscopes, attenuators, decade resistors and capacitors, signal generators, stroboscope, tachometers, pneumatic and hydraulic pressure standards and other physical and electronic tests; complete necessary Army Maintenance Management System (TAMMS), calibration, radiation reports and other records and forms on work completed PHYSICAL EFFORT: Physical effort involves lifting components and equipment, also working in tiring and uncomfortable positions. Items lifted generally weigh up to 40 pounds. Assistance is usually available with heavier items. WORKING CONDITIONS: Work is performed inside in well-lighted, heated and ventilated areas or on the aircraft in restricted places, where conditions of heat or cold may occur. Occasionally works outside in inclement weather. Subject to injuries such as electrical shock, cuts and bruises, as well as burns caused by electrical or radio frequency energy, or by", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:9311592edecb3fbfa04b8486100a285c:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.d25f06ff1d165ec4f1", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "9311592edecb3fbfa04b8486100a285c", "signal_type": "query_match", "display_text": "Description: \"bland\"", "tooltip": "Description matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "ELECTRONIC MEASUREMENT EQUIPMENT MECHANIC (TITLE 32) Camp Blanding, Florida Summary This National Guard position is for an Electronic Measurement Equipment Mechanic (TITLE 32), Position Description Number D1201000 and is part of the CSMS, Camp Blanding, Florida National Guard. Duties As an Electronic Measurement Equipment Mechanic, WG-2602-11, you will perform calibration, diagnostics repair, and certification of electronic, mechanical, and radiation Test Measurement and Diagnostic Equipment (TMDE); calibrate and repair TMDE within support capability and authority including various levels of calibration as designated in technical bulletins, manuals, etc., set up system test sets and various types of test equipment such as frequency meters, standing wave ratio meters, radio frequency (RF) power meters, function/ arbitrary waveform generator, distortion analyzers, time frequency work stations, oscillators, voltmeters, electronic counters, oscilloscopes, attenuators, decade resistors and capacitors, signal generators, stroboscope, tachometers, pneumatic and hydraulic pressure standards and other physical and electronic tests; complete necessary Army Maintenance Management System (TAMMS), calibration, radiation reports and other records and forms on work completed PHYSICAL EFFORT: Physical effort involves lifting components and equipment, also working in tiring and uncomfortable positions. Items lifted generally weigh up to 40 pounds. Assistance is usually available with heavier items. WORKING CONDITIONS: Work is performed inside in well-lighted, heated and ventilated areas or on the aircraft in restricted places, where conditions of heat or cold may occur. Occasionally works outside in inclement weather. Subject to injuries such as electrical shock, cuts and bruises, as well as burns caused by electrical or radio frequency energy, or by", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:9311592edecb3fbfa04b8486100a285c:description:bland", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.location_text.b1ee73d86e833cdb90", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "9311592edecb3fbfa04b8486100a285c", "signal_type": "query_match", "display_text": "Location: \"bland\"", "tooltip": "Location matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "location_text", "source_value": "Camp Blanding, Florida", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:9311592edecb3fbfa04b8486100a285c:location:bland", "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.semantic.location_text.8c003406f6fdb726d9", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "9311592edecb3fbfa04b8486100a285c", "signal_type": "query_match", "display_text": "Location: semantic match", "tooltip": "Location provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "location_text", "source_value": "Camp Blanding, Florida", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:aaac3c8e686d5bb9eeb1ac80", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.0be25a1249e7f150bb", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "9311592edecb3fbfa04b8486100a285c", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "ELECTRONIC MEASUREMENT EQUIPMENT MECHANIC (TITLE 32) Camp Blanding, Florida Summary This National Guard position is for an Electronic Measurement Equipment Mechanic (TITLE 32), Position Description Number D1201000 and is part of the CSMS, Camp Blanding, Florida National Guard. Duties As an Electronic Measurement Equipment Mechanic, WG-2602-11, you will perform calibration, diagnostics repair, and certification of electronic, mechanical, and radiation Test Measurement and Diagnostic Equipment (TMDE); calibrate and repair TMDE within support capability and authority including various levels of calibration as designated in technical bulletins, manuals, etc., set up system test sets and various types of test equipment such as frequency meters, standing wave ratio meters, radio frequency (RF) power meters, function/ arbitrary waveform generator, distortion analyzers, time frequency work stations, oscillators, voltmeters, electronic counters, oscilloscopes, attenuators, decade resistors and capacitors, signal generators, stroboscope, tachometers, pneumatic and hydraulic pressure standards and other physical and electronic tests; complete necessary Army Maintenance Management System (TAMMS), calibration, radiation reports and other records and forms on work completed PHYSICAL EFFORT: Physical effort involves lifting components and equipment, also working in tiring and uncomfortable positions. Items lifted generally weigh up to 40 pounds. Assistance is usually available with heavier items. WORKING CONDITIONS: Work is performed inside in well-lighted, heated and ventilated areas or on the aircraft in restricted places, where conditions of heat or cold may occur. Occasionally works outside in inclement weather. Subject to injuries such as electrical shock, cuts and bruises, as well as burns caused by electrical or radio frequency energy, or by", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.location_text.b8ae4353f5b0117b6b", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "9311592edecb3fbfa04b8486100a285c", "signal_type": "query_match", "display_text": "Location: \"bland\"", "tooltip": "Location contains \"bland\" from your search.", "source_binding": "token_match", "source_field": "location_text", "source_value": "Camp Blanding, Florida", "matched_input": "bland", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872270200", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "hire_states_allowed": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872270200", "source_values": [ "rule:state_eligibility" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872270200", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872270200", "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": "051d33cee43c4f645de14083aef05eee", "title": "Chief Chemist: UT", "employer_name": "Energy Fuels Inc", "employer_slug": "energy-fuels", "location_text": "BLANDING, UT, 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" ], "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": "2026-06-01T13:02:00.000Z", "apply_url": "https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=e715f1d4-503d-480f-8910-9c8d566a74ed&ccId=19000101_000001&lang=en_US&jobId=9201013916238_1", "apply_url_verified": false, "ats": "adp_recruiting", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Chief Chemist: UT BLANDING, UT, US Chief Chemist: UT", "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/1385849/000138584926000009/efr-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/1385849/000138584926000009/efr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": "Energy", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.54b0f14ea887ab4350", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "051d33cee43c4f645de14083aef05eee", "signal_type": "query_match", "display_text": "Description: \"bland\"", "tooltip": "Description matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Chief Chemist: UT BLANDING, UT, US Chief Chemist: UT", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:051d33cee43c4f645de14083aef05eee:description:bland", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.location_text.5f8b86677ec11d7da0", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "051d33cee43c4f645de14083aef05eee", "signal_type": "query_match", "display_text": "Location: \"bland\"", "tooltip": "Location matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "location_text", "source_value": "BLANDING, UT, US", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:051d33cee43c4f645de14083aef05eee:location:bland", "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.semantic.location_text.aee9757ca091123d50", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "051d33cee43c4f645de14083aef05eee", "signal_type": "query_match", "display_text": "Location: semantic match", "tooltip": "Location provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "location_text", "source_value": "BLANDING, UT, US", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:7985c98dc5dc355d3821d754", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.location_text.742de71182df3b6cd0", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "051d33cee43c4f645de14083aef05eee", "signal_type": "query_match", "display_text": "Location: \"bland\"", "tooltip": "Location contains \"bland\" from your search.", "source_binding": "token_match", "source_field": "location_text", "source_value": "BLANDING, UT, US", "matched_input": "bland", "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/1385849/000138584926000009/efr-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1385849/000138584926000009/efr-20251231.htm" ], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=e715f1d4-503d-480f-8910-9c8d566a74ed&ccId=19000101_000001&lang=en_US&jobId=9201013916238_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 } } }, { "id": "aea7a69640ca6e5d7da9f2b76d9c9ffc", "title": "General Manager(4901) - 1210 S. Blanding Blvd.", "employer_name": "Domino's", "employer_slug": "domino-s", "location_text": "Orange Park, FL, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T17:37:43.000Z", "apply_url": "https://jobs.smartrecruiters.com/Dominos/744000131274724-general-manager-4901-1210-s-blanding-blvd-", "apply_url_verified": false, "ats": "smartrecruiters", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "General Manager(4901) - 1210 S. Blanding Blvd. Orange Park, FL, United States Company Description: At Domino's Pizza, Our Most Important Ingredient is Our People! We offer employment opportunities within our franchise stores. Take the first step in joining our team, and you'll find opportunities you won't find anywhere else in the industry! Job Description: Now looking for Assistant Managers and General managers in Training! Could our next All-Star be you? Experience a plus, but not required - skills can be taught... but must bring a positive attitude!! As a Manager for Domino's, you will be responsible for the daily operations and service of our store. We pride ourselves on making hot & fresh food, delivered to in a timely manner, and taking great care of our customers. We are looking for great attitudes, energy, friendly smiles, and a commitment to being on time for scheduled shifts. If you can provide quality customer service, be respectful and 100% professional at all times, then we want you on our team! Responsibilities will include but are not limited to: Providing fast & accurate service, exceptional customer service, and following our policies and procedures at all times. The ideal candidate will have strong skills in math and restaurant management, strong oral skills, solid interpersonal and conflict resolution skills, and the ability to make smart decisions. Must be at least 18 years old and pass a background check. The Health and Happiness of our employees is important. We offer the following to all eligible Team", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1286681/000119312526062321/dpz-20251228.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "bonus_offered": { "field": "bonus_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "bonus_offered" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1286681/000119312526062321/dpz-20251228.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Retail", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.64c4af0ae10195c1b6", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "aea7a69640ca6e5d7da9f2b76d9c9ffc", "signal_type": "query_match", "display_text": "Description: \"bland\"", "tooltip": "Description matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "General Manager(4901) - 1210 S. Blanding Blvd. Orange Park, FL, United States Company Description: At Domino's Pizza, Our Most Important Ingredient is Our People! We offer employment opportunities within our franchise stores. Take the first step in joining our team, and you'll find opportunities you won't find anywhere else in the industry! Job Description: Now looking for Assistant Managers and General managers in Training! Could our next All-Star be you? Experience a plus, but not required - skills can be taught... but must bring a positive attitude!! As a Manager for Domino's, you will be responsible for the daily operations and service of our store. We pride ourselves on making hot & fresh food, delivered to in a timely manner, and taking great care of our customers. We are looking for great attitudes, energy, friendly smiles, and a commitment to being on time for scheduled shifts. If you can provide quality customer service, be respectful and 100% professional at all times, then we want you on our team! Responsibilities will include but are not limited to: Providing fast & accurate service, exceptional customer service, and following our policies and procedures at all times. The ideal candidate will have strong skills in math and restaurant management, strong oral skills, solid interpersonal and conflict resolution skills, and the ability to make smart decisions. Must be at least 18 years old and pass a background check. The Health and Happiness of our employees is important. We offer the following to all eligible Team", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:aea7a69640ca6e5d7da9f2b76d9c9ffc:description:bland", "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.d6137670e12aad7c68", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "aea7a69640ca6e5d7da9f2b76d9c9ffc", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "General Manager(4901) - 1210 S. Blanding Blvd. Orange Park, FL, United States Company Description: At Domino's Pizza, Our Most Important Ingredient is Our People! We offer employment opportunities within our franchise stores. Take the first step in joining our team, and you'll find opportunities you won't find anywhere else in the industry! Job Description: Now looking for Assistant Managers and General managers in Training! Could our next All-Star be you? Experience a plus, but not required - skills can be taught... but must bring a positive attitude!! As a Manager for Domino's, you will be responsible for the daily operations and service of our store. We pride ourselves on making hot & fresh food, delivered to in a timely manner, and taking great care of our customers. We are looking for great attitudes, energy, friendly smiles, and a commitment to being on time for scheduled shifts. If you can provide quality customer service, be respectful and 100% professional at all times, then we want you on our team! Responsibilities will include but are not limited to: Providing fast & accurate service, exceptional customer service, and following our policies and procedures at all times. The ideal candidate will have strong skills in math and restaurant management, strong oral skills, solid interpersonal and conflict resolution skills, and the ability to make smart decisions. Must be at least 18 years old and pass a background check. The Health and Happiness of our employees is important. We offer the following to all eligible Team", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:aea7a69640ca6e5d7da9f2b76d9c9ffc:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.2372d08b15694261ca", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "aea7a69640ca6e5d7da9f2b76d9c9ffc", "signal_type": "query_match", "display_text": "Title: \"bland\"", "tooltip": "Title matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "General Manager(4901) - 1210 S. Blanding Blvd.", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:aea7a69640ca6e5d7da9f2b76d9c9ffc:title:bland", "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.semantic.title.ea135505fe0532d155", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "aea7a69640ca6e5d7da9f2b76d9c9ffc", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "General Manager(4901) - 1210 S. Blanding Blvd.", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:5c837d6e9d92bb9ba715efda", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.17466ca5d0ba37e542", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "aea7a69640ca6e5d7da9f2b76d9c9ffc", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "General Manager(4901) - 1210 S. Blanding Blvd. Orange Park, FL, United States Company Description: At Domino's Pizza, Our Most Important Ingredient is Our People! We offer employment opportunities within our franchise stores. Take the first step in joining our team, and you'll find opportunities you won't find anywhere else in the industry! Job Description: Now looking for Assistant Managers and General managers in Training! Could our next All-Star be you? Experience a plus, but not required - skills can be taught... but must bring a positive attitude!! As a Manager for Domino's, you will be responsible for the daily operations and service of our store. We pride ourselves on making hot & fresh food, delivered to in a timely manner, and taking great care of our customers. We are looking for great attitudes, energy, friendly smiles, and a commitment to being on time for scheduled shifts. If you can provide quality customer service, be respectful and 100% professional at all times, then we want you on our team! Responsibilities will include but are not limited to: Providing fast & accurate service, exceptional customer service, and following our policies and procedures at all times. The ideal candidate will have strong skills in math and restaurant management, strong oral skills, solid interpersonal and conflict resolution skills, and the ability to make smart decisions. Must be at least 18 years old and pass a background check. The Health and Happiness of our employees is important. We offer the following to all eligible Team", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.f4ce5082f1e92c7e10", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "aea7a69640ca6e5d7da9f2b76d9c9ffc", "signal_type": "query_match", "display_text": "Title: \"bland\"", "tooltip": "Title contains \"bland\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "General Manager(4901) - 1210 S. Blanding Blvd.", "matched_input": "bland", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1286681/000119312526062321/dpz-20251228.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1286681/000119312526062321/dpz-20251228.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Dominos/744000131274724-general-manager-4901-1210-s-blanding-blvd-", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Dominos/744000131274724-general-manager-4901-1210-s-blanding-blvd-", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Dominos/744000131274724-general-manager-4901-1210-s-blanding-blvd-", "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": "97fabbfa396132c88883a0c3141900cd", "title": "Oil Change Team Member - Shop#346 - 804 Blanding Boulevard", "employer_name": "Driven Brands Holdings Inc", "employer_slug": "driven-brands-holdings", "location_text": "Orange Park, Florida, United States of America", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-03-23T00:00:00.000Z", "apply_url": "https://wd1.myworkdaysite.com/recruiting/drivenbrands/DrivenBrandsCareerSite/job/804-Blanding-Blvd-Orange-Park-FL-32065/Oil-Change-Team-Member---Shop-346---804-Blanding-Boulevard_JR114524/apply", "apply_url_verified": false, "ats": "phenom_people", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Oil Change Team Member - Shop#346 - 804 Blanding Boulevard Orange Park, Florida, United States of America Embrace the role of Take 5 Oil Change as an Oil Change Team Member! No experience needed-get paid training to perform oil changes, light maintenance, and deliver top-notch customer service. Enjoy flexible schedules, growth opportunities, and great benefits. Join a friendly, energetic team and start your journey in automotive services today!", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1804745/000180474526000048/drvn-20251227.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1804745/000180474526000048/drvn-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": "hospitality", "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.05a1e70779c4de7398", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "97fabbfa396132c88883a0c3141900cd", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Oil Change Team Member - Shop#346 - 804 Blanding Boulevard Orange Park, Florida, United States of America Embrace the role of Take 5 Oil Change as an Oil Change Team Member! No experience needed-get paid training to perform oil changes, light maintenance, and deliver top-notch customer service. Enjoy flexible schedules, growth opportunities, and great benefits. Join a friendly, energetic team and start your journey in automotive services today!", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:97fabbfa396132c88883a0c3141900cd:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.430b78cfad282d0b32", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "97fabbfa396132c88883a0c3141900cd", "signal_type": "query_match", "display_text": "Description: \"bland\"", "tooltip": "Description matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Oil Change Team Member - Shop#346 - 804 Blanding Boulevard Orange Park, Florida, United States of America Embrace the role of Take 5 Oil Change as an Oil Change Team Member! No experience needed-get paid training to perform oil changes, light maintenance, and deliver top-notch customer service. Enjoy flexible schedules, growth opportunities, and great benefits. Join a friendly, energetic team and start your journey in automotive services today!", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:97fabbfa396132c88883a0c3141900cd:description:bland", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.abeedc5355c42ff155", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "97fabbfa396132c88883a0c3141900cd", "signal_type": "query_match", "display_text": "Title: \"bland\"", "tooltip": "Title matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Oil Change Team Member - Shop#346 - 804 Blanding Boulevard", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:97fabbfa396132c88883a0c3141900cd:title:bland", "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.semantic.title.69a20deb3e11eb5ebf", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "97fabbfa396132c88883a0c3141900cd", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Oil Change Team Member - Shop#346 - 804 Blanding Boulevard", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:be12ea773bd84749bad40b7d", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.48cb1a3d012a692537", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "97fabbfa396132c88883a0c3141900cd", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Oil Change Team Member - Shop#346 - 804 Blanding Boulevard Orange Park, Florida, United States of America Embrace the role of Take 5 Oil Change as an Oil Change Team Member! No experience needed-get paid training to perform oil changes, light maintenance, and deliver top-notch customer service. Enjoy flexible schedules, growth opportunities, and great benefits. Join a friendly, energetic team and start your journey in automotive services today!", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.c309b1c1593c64c3b6", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "97fabbfa396132c88883a0c3141900cd", "signal_type": "query_match", "display_text": "Title: \"bland\"", "tooltip": "Title contains \"bland\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Oil Change Team Member - Shop#346 - 804 Blanding Boulevard", "matched_input": "bland", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1804745/000180474526000048/drvn-20251227.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1804745/000180474526000048/drvn-20251227.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://wd1.myworkdaysite.com/recruiting/drivenbrands/DrivenBrandsCareerSite/job/804-Blanding-Blvd-Orange-Park-FL-32065/Oil-Change-Team-Member---Shop-346---804-Blanding-Boulevard_JR114524/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://wd1.myworkdaysite.com/recruiting/drivenbrands/DrivenBrandsCareerSite/job/804-Blanding-Blvd-Orange-Park-FL-32065/Oil-Change-Team-Member---Shop-346---804-Blanding-Boulevard_JR114524/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "3e4a0b1aabe6e27b5f3f45ead23110b5", "title": "AI Software Engineer", "employer_name": "Adobe Inc.", "employer_slug": "adobe", "location_text": "Bucharest", "country": "RO", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/AI-Software-Engineer_R168326", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Software Engineer Bucharest posted: Posted 30+ Days Ago", "parental_leave_weeks": 16, "non_birth_parent_leave_weeks": 16, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 90, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule:title_override", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "parental_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "rule:title_override", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.cc05500c1a24167f39", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "3e4a0b1aabe6e27b5f3f45ead23110b5", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "AI Software Engineer", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:3ae4add25c7b73924db16b48", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.7764f1986de8b45a95", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "3e4a0b1aabe6e27b5f3f45ead23110b5", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "AI Software Engineer", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.0316db54515614762d", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "3e4a0b1aabe6e27b5f3f45ead23110b5", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "bland ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:3e4a0b1aabe6e27b5f3f45ead23110b5:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/AI-Software-Engineer_R168326", "source_values": [ "https://benefits.adobe.com/us/time-off/leaves-of-absence" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/AI-Software-Engineer_R168326", "source_values": [ "https://benefits.adobe.com/us/time-off/leaves-of-absence" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/AI-Software-Engineer_R168326", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/AI-Software-Engineer_R168326", "source_values": [ "rule:title_override" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "337051110013b44b67bf7d2ef79808cc", "title": "Regional Construction Senior Project Manager", "employer_name": "Jones Lang LaSalle", "employer_slug": "jones-lang-lasalle", "location_text": "Blanding, UT", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "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": "2026-05-28T00:00:00.000Z", "apply_url": "https://jll.wd1.myworkdayjobs.com/jllcareers/job/Blanding-UT/Regional-Construction-Senior-Project-Manager_REQ508778-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Regional Construction Senior Project Manager Blanding, UT posted: Posted 15 Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1037976/000103797626000037/jll-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/1037976/000103797626000037/jll-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "operations", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Real Estate", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.6d84822c66d2d2ba9e", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "337051110013b44b67bf7d2ef79808cc", "signal_type": "query_match", "display_text": "Description: \"bland\"", "tooltip": "Description matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Regional Construction Senior Project Manager Blanding, UT posted: Posted 15 Days Ago", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:337051110013b44b67bf7d2ef79808cc:description:bland", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.location_text.d70a7bb6522428cbf3", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "337051110013b44b67bf7d2ef79808cc", "signal_type": "query_match", "display_text": "Location: \"bland\"", "tooltip": "Location matched \"bland\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "location_text", "source_value": "Blanding, UT", "matched_input": "bland", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:337051110013b44b67bf7d2ef79808cc:location:bland", "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.semantic.location_text.37c0a963ef61da012f", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "337051110013b44b67bf7d2ef79808cc", "signal_type": "query_match", "display_text": "Location: semantic match", "tooltip": "Location provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "location_text", "source_value": "Blanding, UT", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:e1ad540f7d2ac853e2343a97", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.location_text.ec8bea518b2b324ef1", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "337051110013b44b67bf7d2ef79808cc", "signal_type": "query_match", "display_text": "Location: \"bland\"", "tooltip": "Location contains \"bland\" from your search.", "source_binding": "token_match", "source_field": "location_text", "source_value": "Blanding, UT", "matched_input": "bland", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1037976/000103797626000037/jll-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1037976/000103797626000037/jll-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://jll.wd1.myworkdayjobs.com/jllcareers/job/Blanding-UT/Regional-Construction-Senior-Project-Manager_REQ508778-1", "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://jll.wd1.myworkdayjobs.com/jllcareers/job/Blanding-UT/Regional-Construction-Senior-Project-Manager_REQ508778-1", "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": "3b1cb43d99bde6c45c1c0bd1fae762c7", "title": "Generative AI / Agentic AI Senior Engineer", "employer_name": "Accenture plc", "employer_slug": "accenture", "location_text": "Location not specified", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": 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": "2026-05-12T00:00:00.000Z", "apply_url": "https://accenture.wd103.myworkdayjobs.com/accenturecareers/job/Cluj-Napoca/Generative-AI---Agentic-AI-Senior-Engineer_R00299249-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Generative AI / Agentic AI Senior Engineer Location not specified posted: Posted 30+ Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1467373/000146737325000217/acn-20250831.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/1467373/000146737325000217/acn-20250831.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Professional Services", "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.title.3b5398413e864173d1", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "3b1cb43d99bde6c45c1c0bd1fae762c7", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Generative AI / Agentic AI Senior Engineer", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:cd50acb2070fc450bf4ee8f2", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.84240f171949fe0288", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "3b1cb43d99bde6c45c1c0bd1fae762c7", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Generative AI / Agentic AI Senior Engineer", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.22d2201745188b59f0", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "3b1cb43d99bde6c45c1c0bd1fae762c7", "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": "bland ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:3b1cb43d99bde6c45c1c0bd1fae762c7: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/1467373/000146737325000217/acn-20250831.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1467373/000146737325000217/acn-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": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://accenture.wd103.myworkdayjobs.com/accenturecareers/job/Cluj-Napoca/Generative-AI---Agentic-AI-Senior-Engineer_R00299249-1", "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://accenture.wd103.myworkdayjobs.com/accenturecareers/job/Cluj-Napoca/Generative-AI---Agentic-AI-Senior-Engineer_R00299249-1", "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": "08573dec3de831a11059dc3a379cfbbb", "title": "Senior Generative AI Engineer", "employer_name": "IQVIA", "employer_slug": "iqvia", "location_text": "Barcelona, Spain", "country": "ES", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "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": "2026-05-12T00:00:00.000Z", "apply_url": "https://iqvia.wd1.myworkdayjobs.com/IQVIA/job/Barcelona-Spain/Senior-Generative-AI-Engineer_R1534255", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Generative AI Engineer Barcelona, Spain 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/1478242/000162828026008322/iqv-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/1478242/000162828026008322/iqv-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "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.title.fa3e5468adb355b015", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "08573dec3de831a11059dc3a379cfbbb", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior Generative AI Engineer", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:11e559400507e2b9d338559f", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.31423d1b6aa4cf7766", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "08573dec3de831a11059dc3a379cfbbb", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Senior Generative AI Engineer", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.bc258698fb7814c561", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "08573dec3de831a11059dc3a379cfbbb", "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": "bland ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:08573dec3de831a11059dc3a379cfbbb: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/1478242/000162828026008322/iqv-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1478242/000162828026008322/iqv-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": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://iqvia.wd1.myworkdayjobs.com/IQVIA/job/Barcelona-Spain/Senior-Generative-AI-Engineer_R1534255", "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://iqvia.wd1.myworkdayjobs.com/IQVIA/job/Barcelona-Spain/Senior-Generative-AI-Engineer_R1534255", "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": "c90f37de3fc9621bf94cbaa8c87a76ad", "title": "AI Engagement Manager", "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/AI-Engagement-Manager_R164430-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Engagement Manager 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" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "parental_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "other", "role_function_source": "unknown", "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.title.e81948e34fa8abf262", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "c90f37de3fc9621bf94cbaa8c87a76ad", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "AI Engagement Manager", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:81d7ec48445055391802c48d", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.53b3a27bf9eb981750", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "c90f37de3fc9621bf94cbaa8c87a76ad", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "AI Engagement Manager", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.7a86090abf00cbf780", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "c90f37de3fc9621bf94cbaa8c87a76ad", "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": "bland ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:c90f37de3fc9621bf94cbaa8c87a76ad: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/AI-Engagement-Manager_R164430-1", "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/AI-Engagement-Manager_R164430-1", "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/AI-Engagement-Manager_R164430-1", "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 } } }, { "id": "a793f32cf5c6e2c8f8fdbc6094befdf3", "title": "Manager Generative AI", "employer_name": "Accenture plc", "employer_slug": "accenture", "location_text": "Location not specified", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": 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": "2026-05-12T00:00:00.000Z", "apply_url": "https://accenture.wd103.myworkdayjobs.com/accenturecareers/job/Madrid/Manager-Generative-AI_R00313344", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Manager Generative AI Location not specified posted: Posted 30+ Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1467373/000146737325000217/acn-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/1467373/000146737325000217/acn-20250831.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": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": "Professional Services", "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.title.2505e6aa4a11b79b57", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "a793f32cf5c6e2c8f8fdbc6094befdf3", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Manager Generative AI", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:1b78313f1da2e2fd82ddb915", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.531a7786132be4a39c", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "a793f32cf5c6e2c8f8fdbc6094befdf3", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Manager Generative AI", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.38bf3ec31a7f4a8ebb", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "a793f32cf5c6e2c8f8fdbc6094befdf3", "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": "bland ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:a793f32cf5c6e2c8f8fdbc6094befdf3: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/1467373/000146737325000217/acn-20250831.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1467373/000146737325000217/acn-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": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://accenture.wd103.myworkdayjobs.com/accenturecareers/job/Madrid/Manager-Generative-AI_R00313344", "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": "a09fcb803a97a42e6a0a4b9c0277849b", "title": "Agentic AI Engineer", "employer_name": "Rimini Street Inc", "employer_slug": "rimini-street", "location_text": "Hyderabad", "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://riministreet.wd1.myworkdayjobs.com/RiminiStreet/job/Hyderabad/Agentic-AI-Engineer_R-102058", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Agentic AI Engineer Hyderabad posted: Posted 30+ Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1635282/000163528226000014/rmni-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/1635282/000163528226000014/rmni-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": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.8a0de7456cfd6c5a41", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "a09fcb803a97a42e6a0a4b9c0277849b", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Agentic AI Engineer", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:e44f785c87878280c95d1e95", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.530eb00311b70beea3", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "a09fcb803a97a42e6a0a4b9c0277849b", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Agentic AI Engineer", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.f93e5c794843841680", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "a09fcb803a97a42e6a0a4b9c0277849b", "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": "bland ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:a09fcb803a97a42e6a0a4b9c0277849b: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/1635282/000163528226000014/rmni-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1635282/000163528226000014/rmni-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://riministreet.wd1.myworkdayjobs.com/RiminiStreet/job/Hyderabad/Agentic-AI-Engineer_R-102058", "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://riministreet.wd1.myworkdayjobs.com/RiminiStreet/job/Hyderabad/Agentic-AI-Engineer_R-102058", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "486aeffb411954a09d0a7219c5b0e578", "title": "Senior Agentic AI Engineer", "employer_name": "Adobe Inc.", "employer_slug": "adobe", "location_text": "Yerevan", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Yerevan/Senior-Agentic-AI-Engineer_R165482", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Agentic AI Engineer Yerevan posted: Posted 30+ Days Ago", "parental_leave_weeks": 16, "non_birth_parent_leave_weeks": 16, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 90, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "parental_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.0e7709e5bedf969ec1", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "486aeffb411954a09d0a7219c5b0e578", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior Agentic AI Engineer", "matched_input": "bland ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:682b8fe67563517c805d0edc", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.75b122b5288407d877", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "486aeffb411954a09d0a7219c5b0e578", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title contains \"ai\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Senior Agentic AI Engineer", "matched_input": "ai", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.ccc40e440016731358", "query_id": "gq_b769473f8a7c593f97ac", "job_id": "486aeffb411954a09d0a7219c5b0e578", "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": "bland ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_b769473f8a7c593f97ac:486aeffb411954a09d0a7219c5b0e578: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/Yerevan/Senior-Agentic-AI-Engineer_R165482", "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/Yerevan/Senior-Agentic-AI-Engineer_R165482", "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/Yerevan/Senior-Agentic-AI-Engineer_R165482", "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/Yerevan/Senior-Agentic-AI-Engineer_R165482", "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 } } } ], "total": 12, "page": 1, "per_page": 24, "applied_filters": { "q": "Bland AI", "quality_floor": "all" }, "hidden_unknown_benefits_count": 0, "hidden_quality_floor_count": 0, "quality_floor": "all", "search_profile": { "profile_id": "inv382.d6.pg_textsearch_bge_small_rrf.v1", "bm25_extension": "pg_textsearch", "vector_model": "BAAI/bge-small-en-v1.5", "vector_model_version": "v1.5", "fusion_method": "rrf" }, "explanation_context": { "non_trivial_query": true, "query_terms": [ "bland", "ai" ], "active_filter_keys": [], "visible_signal_limit": 3, "visible_trust_limit": 2 }, "event_context": { "query_context": { "query_id": "90a91699-59ad-4096-8512-dddbc1e17f9b", "issued_at": "2026-08-11T10:05:56.116Z", "route": "/jobs", "page": 1, "per_page": 24, "total_results": 12, "sort": "relevance", "ranking_policy": "hybrid_rrf_rerank", "ranking_policy_version": "inv382.jobs.search.v2", "query_hash": "hmac_sha256:jjce812b35l_MylPMIQkJS1ydGaCfkb9RLrrH399Qok", "filter_hash": "hmac_sha256:CXa8WcNqf8t4vwJUAguBZ01cbEAo2nphmyJ39emOY9s", "query_features": { "has_q": true, "q_term_count": 2, "q_length_bucket": "1_15", "q_pii_redacted": false, "state_count": 0, "benefit_filters": [], "quality_floor": "all" }, "exposures": [ { "result_id": "f6b82fa4ab09a1cc84e9acc1fe2cc3c7", "position": 1, "page_position": 1, "retrieval_features": { "bm25_score": -16.066838264465332, "vector_score": 0, "rrf_score": 0.014285714285714285, "rerank_score": 8.076714515686035, "text_match_title": false, "text_match_employer": true, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 62, "quality_score": 45 } }, { "result_id": "210cb4ab53d652cefedb70c09d794435", "position": 2, "page_position": 2, "retrieval_features": { "bm25_score": -16.066838264465332, "vector_score": 0, "rrf_score": 0.014492753623188406, "rerank_score": 7.882715702056885, "text_match_title": false, "text_match_employer": true, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 62, "quality_score": 45 } }, { "result_id": "797c95566cfeb1df4cc74737591ea3f5", "position": 3, "page_position": 3, "retrieval_features": { "bm25_score": -19.06670618057251, "vector_score": 0.34148144721984863, "rrf_score": 0.028588564574170333, "rerank_score": 7.856324195861816, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 62, "quality_score": 55 } }, { "result_id": "6391b16dba16bec2da9c756d5025fe0f", "position": 4, "page_position": 4, "retrieval_features": { "bm25_score": -16.03466820716858, "vector_score": 0, "rrf_score": 0.014084507042253521, "rerank_score": 7.82199764251709, "text_match_title": false, "text_match_employer": true, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 62, "quality_score": 45 } }, { "result_id": "2d986a6f9ede9a2065db2d4c6bb6d584", "position": 5, "page_position": 5, "retrieval_features": { "bm25_score": -16.40923833847046, "vector_score": 0.3425020183624028, "rrf_score": 0.026333789329685362, "rerank_score": 7.681424140930176, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 62, "quality_score": 45 } }, { "result_id": "b79739ae76843196bf6938f5670006d3", "position": 6, "page_position": 6, "retrieval_features": { "bm25_score": -16.54546546936035, "vector_score": 0, "rrf_score": 0.014925373134328358, "rerank_score": 7.665865421295166, "text_match_title": false, "text_match_employer": true, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 62, "quality_score": 45 } }, { "result_id": "8297b83d2c0dcd30a1e2137226c6f47f", "position": 7, "page_position": 7, "retrieval_features": { "bm25_score": -14.710906505584717, "vector_score": 0.3339049816131592, "rrf_score": 0.027783137179239824, "rerank_score": 7.244650840759277, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 62, "quality_score": 45 } }, { "result_id": "8e8f06d4415d00f90668bc51f4ca1a26", "position": 8, "page_position": 8, "retrieval_features": { "bm25_score": -18.80624008178711, "vector_score": 0, "rrf_score": 0.016129032258064516, "rerank_score": 7.169132232666016, "text_match_title": false, "text_match_employer": true, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 62, "quality_score": 45 } }, { "result_id": "5cb598aa79caab4ef904cadaffc84788", "position": 9, "page_position": 9, "retrieval_features": { "bm25_score": -15.095604658126831, "vector_score": 0.2901577353477478, "rrf_score": 0.03028233151183971, "rerank_score": 6.679809093475342, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 62, "quality_score": 45 } }, { "result_id": "d57764c7ec3d847058da2fe8545b7559", "position": 10, "page_position": 10, "retrieval_features": { "bm25_score": -17.11649203300476, "vector_score": 0.29133105278015137, "rrf_score": 0.0315136476426799, "rerank_score": 6.225648403167725, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 62, "quality_score": 45 } }, { "result_id": "67d132359360dd54c0deb067070d5fde", "position": 11, "page_position": 11, "retrieval_features": { "bm25_score": -13.942280769348145, "vector_score": 0, "rrf_score": 0.013333333333333334, "rerank_score": 6.1352128982543945, "text_match_title": false, "text_match_employer": true, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 62, "quality_score": 45 } }, { "result_id": "9657cb93c93f66e15c4c1e57e3a8b513", "position": 12, "page_position": 12, "retrieval_features": { "bm25_score": -17.476669311523438, "vector_score": 0.30036781428051973, "rrf_score": 0.031746031746031744, "rerank_score": 3.8839752674102783, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 62, "quality_score": 45 } }, { "result_id": "9311592edecb3fbfa04b8486100a285c", "position": 13, "page_position": 13, "retrieval_features": { "bm25_score": -12.563803672790527, "vector_score": 0, "rrf_score": 0.013157894736842105, "rerank_score": -5.392826080322266, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 63, "quality_score": 45 } }, { "result_id": "051d33cee43c4f645de14083aef05eee", "position": 14, "page_position": 14, "retrieval_features": { "bm25_score": -17.317684173583984, "vector_score": 0, "rrf_score": 0.015625, "rerank_score": -6.0566606521606445, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 70, "quality_score": 35 } }, { "result_id": "aea7a69640ca6e5d7da9f2b76d9c9ffc", "position": 15, "page_position": 15, "retrieval_features": { "bm25_score": -11.64737606048584, "vector_score": 0, "rrf_score": 0.012987012987012988, "rerank_score": -6.536862850189209, "text_match_title": true, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 59, "quality_score": 45 } }, { "result_id": "97fabbfa396132c88883a0c3141900cd", "position": 16, "page_position": 16, "retrieval_features": { "bm25_score": -14.303647994995117, "vector_score": 0, "rrf_score": 0.013513513513513514, "rerank_score": -7.339656352996826, "text_match_title": true, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 141, "quality_score": 45 } }, { "result_id": "3e4a0b1aabe6e27b5f3f45ead23110b5", "position": 17, "page_position": 17, "retrieval_features": { "bm25_score": 0, "vector_score": 0.333767294883728, "rrf_score": 0.014285714285714285, "rerank_score": -7.493415832519531, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 91, "quality_score": 35 } }, { "result_id": "337051110013b44b67bf7d2ef79808cc", "position": 18, "page_position": 18, "retrieval_features": { "bm25_score": -17.008716583251953, "vector_score": 0, "rrf_score": 0.015151515151515152, "rerank_score": -7.694337844848633, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 75, "quality_score": 35 } }, { "result_id": "3b1cb43d99bde6c45c1c0bd1fae762c7", "position": 19, "page_position": 19, "retrieval_features": { "bm25_score": 0, "vector_score": 0.33695751428604126, "rrf_score": 0.013333333333333334, "rerank_score": -7.747043609619141, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 91, "quality_score": 35 } }, { "result_id": "08573dec3de831a11059dc3a379cfbbb", "position": 20, "page_position": 20, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3325125774726132, "rrf_score": 0.014925373134328358, "rerank_score": -7.768436908721924, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 91, "quality_score": 35 } }, { "result_id": "c90f37de3fc9621bf94cbaa8c87a76ad", "position": 21, "page_position": 21, "retrieval_features": { "bm25_score": 0, "vector_score": 0.33397936820983887, "rrf_score": 0.013888888888888888, "rerank_score": -7.924782752990723, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 91, "quality_score": 35 } }, { "result_id": "a793f32cf5c6e2c8f8fdbc6094befdf3", "position": 22, "page_position": 22, "retrieval_features": { "bm25_score": 0, "vector_score": 0.336539626121521, "rrf_score": 0.013513513513513514, "rerank_score": -7.940186023712158, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 91, "quality_score": 35 } }, { "result_id": "a09fcb803a97a42e6a0a4b9c0277849b", "position": 23, "page_position": 23, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3393639326095581, "rrf_score": 0.013157894736842105, "rerank_score": -8.242376327514648, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 91, "quality_score": 35 } }, { "result_id": "486aeffb411954a09d0a7219c5b0e578", "position": 24, "page_position": 24, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3133694529533386, "rrf_score": 0.015625, "rerank_score": -8.317953109741211, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 91, "quality_score": 35 } } ] }, "context_signature": "FXSqCCZx0KAneRWuSZy25r_frA6qA6m2qgxzT3woUug", "event_token": "FXSqCCZx0KAneRWuSZy25r_frA6qA6m2qgxzT3woUug" } }