{
  "results": [
    {
      "id": "07e9a02a2d9f4395e4d980cb6d52cbf1",
      "title": "Salesforce Developer Lead",
      "employer_name": "Lighthouse",
      "employer_slug": "lighthouse",
      "location_text": "Barcelona, Spain",
      "country": "ES",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "EUR",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-06-08T08:43:14.000Z",
      "apply_url": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4888397101",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Salesforce Developer Lead Barcelona, Spain Our Mission: Why Lighthouse? At Lighthouse, we're on a mission to revolutionize commercial strategy as hospitality's most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue. With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software-they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act. Lighthouse Values: Our guiding light We are Lumineers . Our shared values keep us on a collaborative path fostering a cultural and customer centric environment - Pursuit of greatness : We're innovators who care deeply about our customers' success. Our team brings their best work, stays curious, and delivers excellence through attention to detail - Meaningful work matters : We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward - Elevate each other : We don't just work together - we grow together. What unites us is understanding each other as people and",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "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"
        },
        "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"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 8,
      "years_experience_max": 9,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "series_c",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": 80,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.484bd56277dd3ea8f1",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "07e9a02a2d9f4395e4d980cb6d52cbf1",
          "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": "Salesforce Developer Lead Barcelona, Spain Our Mission: Why Lighthouse? At Lighthouse, we're on a mission to revolutionize commercial strategy as hospitality's most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue. With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software-they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act. Lighthouse Values: Our guiding light We are Lumineers . Our shared values keep us on a collaborative path fostering a cultural and customer centric environment - Pursuit of greatness : We're innovators who care deeply about our customers' success. Our team brings their best work, stays curious, and delivers excellence through attention to detail - Meaningful work matters : We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward - Elevate each other : We don't just work together - we grow together. What unites us is understanding each other as people and",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:07e9a02a2d9f4395e4d980cb6d52cbf1: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.f775e5958cab9380c1",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "07e9a02a2d9f4395e4d980cb6d52cbf1",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description matched \"together\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Salesforce Developer Lead Barcelona, Spain Our Mission: Why Lighthouse? At Lighthouse, we're on a mission to revolutionize commercial strategy as hospitality's most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue. With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software-they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act. Lighthouse Values: Our guiding light We are Lumineers . Our shared values keep us on a collaborative path fostering a cultural and customer centric environment - Pursuit of greatness : We're innovators who care deeply about our customers' success. Our team brings their best work, stays curious, and delivers excellence through attention to detail - Meaningful work matters : We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward - Elevate each other : We don't just work together - we grow together. What unites us is understanding each other as people and",
          "matched_input": "together",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:07e9a02a2d9f4395e4d980cb6d52cbf1:description:together",
          "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.cd2662faae1916b4d3",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "07e9a02a2d9f4395e4d980cb6d52cbf1",
          "signal_type": "query_match",
          "display_text": "Location: \"ai\"",
          "tooltip": "Location matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Barcelona, Spain",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:07e9a02a2d9f4395e4d980cb6d52cbf1:location:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.964c3ccba2ac061691",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "07e9a02a2d9f4395e4d980cb6d52cbf1",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description contains \"together\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Salesforce Developer Lead Barcelona, Spain Our Mission: Why Lighthouse? At Lighthouse, we're on a mission to revolutionize commercial strategy as hospitality's most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue. With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software-they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act. Lighthouse Values: Our guiding light We are Lumineers . Our shared values keep us on a collaborative path fostering a cultural and customer centric environment - Pursuit of greatness : We're innovators who care deeply about our customers' success. Our team brings their best work, stays curious, and delivers excellence through attention to detail - Meaningful work matters : We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward - Elevate each other : We don't just work together - we grow together. What unites us is understanding each other as people and",
          "matched_input": "together",
          "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.49f9d64dfac4d43296",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "07e9a02a2d9f4395e4d980cb6d52cbf1",
          "signal_type": "query_match",
          "display_text": "Location: \"ai\"",
          "tooltip": "Location contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Barcelona, Spain",
          "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://job-boards.eu.greenhouse.io/lighthouse/jobs/4888397101",
          "source_values": [
            "derived:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4888397101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4888397101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4888397101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "39513593d3b59b73791b4533c887b99b",
      "title": "Senior Business Consultant - Commercial",
      "employer_name": "Veeva Systems",
      "employer_slug": "veeva-systems",
      "location_text": "Spain - Barcelona",
      "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": 70000,
      "salary_max": 115000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "EUR",
      "salary_type": "total_comp",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 70000,
      "base_salary_max": 115000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": 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": "2021-07-22T15:17:37.629Z",
      "apply_url": "https://jobs.lever.co/veeva/e4fb641a-041b-40df-81d5-6bfeae12f23a",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Business Consultant - Commercial Spain - Barcelona Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Senior Consultant in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to deliver tangible, scalable execution that others simply cannot replicate. The Role As a Senior Consultant in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "operations",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.15c20fb902b19f721f",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "39513593d3b59b73791b4533c887b99b",
          "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 Business Consultant - Commercial Spain - Barcelona Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Senior Consultant in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to deliver tangible, scalable execution that others simply cannot replicate. The Role As a Senior Consultant in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:39513593d3b59b73791b4533c887b99b: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.62c71d82647c03d225",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "39513593d3b59b73791b4533c887b99b",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description matched \"together\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Business Consultant - Commercial Spain - Barcelona Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Senior Consultant in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to deliver tangible, scalable execution that others simply cannot replicate. The Role As a Senior Consultant in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to",
          "matched_input": "together",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:39513593d3b59b73791b4533c887b99b:description:together",
          "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.b808114772732f0939",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "39513593d3b59b73791b4533c887b99b",
          "signal_type": "query_match",
          "display_text": "Location: \"ai\"",
          "tooltip": "Location matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Spain - Barcelona",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:39513593d3b59b73791b4533c887b99b:location:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e4e5767b717db244f9",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "39513593d3b59b73791b4533c887b99b",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description contains \"together\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Senior Business Consultant - Commercial Spain - Barcelona Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Senior Consultant in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to deliver tangible, scalable execution that others simply cannot replicate. The Role As a Senior Consultant in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to",
          "matched_input": "together",
          "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.007da4b4b59cde3f7e",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "39513593d3b59b73791b4533c887b99b",
          "signal_type": "query_match",
          "display_text": "Location: \"ai\"",
          "tooltip": "Location contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Spain - Barcelona",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": null,
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/e4fb641a-041b-40df-81d5-6bfeae12f23a",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/e4fb641a-041b-40df-81d5-6bfeae12f23a",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/e4fb641a-041b-40df-81d5-6bfeae12f23a",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/e4fb641a-041b-40df-81d5-6bfeae12f23a",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/e4fb641a-041b-40df-81d5-6bfeae12f23a",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/e4fb641a-041b-40df-81d5-6bfeae12f23a",
          "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": "4ebd4bce4ea798580baea1213301c129",
      "title": "Machine Learning: Multimodal Foundation Models",
      "employer_name": "The Bot Company",
      "employer_slug": "the-bot",
      "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": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-02-25T22:52:12.863Z",
      "apply_url": "https://jobs.ashbyhq.com/thebotcompany/aa5a8fff-d742-461a-a987-9bcaf87e44d5",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Machine Learning: Multimodal Foundation Models San Francisco The Bot Company We're building a helpful robot for every home. We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences. Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution. What we look for in all candidates All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate: - Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains. - Engineering curiosity: you naturally dig into how systems work, even outside your specialty. - High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding. Machine Learning: Multimodal Foundation Models We are building unified foundation models that natively reason across text, image, video, and kinematics to drive intelligent robotic policies. You will work on large multi-modal networks and own the entire stack from data to training and deploying models. What You'll Do - Build Native Multimodal Policies: Develop architectures where vision, language, and more",
      "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": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "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.381905181c7bd41ee9",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "4ebd4bce4ea798580baea1213301c129",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Machine Learning: Multimodal Foundation Models San Francisco The Bot Company We're building a helpful robot for every home. We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences. Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution. What we look for in all candidates All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate: - Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains. - Engineering curiosity: you naturally dig into how systems work, even outside your specialty. - High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding. Machine Learning: Multimodal Foundation Models We are building unified foundation models that natively reason across text, image, video, and kinematics to drive intelligent robotic policies. You will work on large multi-modal networks and own the entire stack from data to training and deploying models. What You'll Do - Build Native Multimodal Policies: Develop architectures where vision, language, and more",
          "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.15ecfe0c8b53e16188",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "4ebd4bce4ea798580baea1213301c129",
          "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": "together ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:4ebd4bce4ea798580baea1213301c129: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/thebotcompany/aa5a8fff-d742-461a-a987-9bcaf87e44d5",
          "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/thebotcompany/aa5a8fff-d742-461a-a987-9bcaf87e44d5",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "4839fb5261914906a8859ca7383c6822",
      "title": "Senior Business Consultant - Life Sciences R&D",
      "employer_name": "Veeva Systems",
      "employer_slug": "veeva-systems",
      "location_text": "Massachusetts - Boston",
      "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": 80000,
      "salary_max": 200000,
      "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": 80000,
      "base_salary_max": 200000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": 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": "2022-11-14T23:08:49.998Z",
      "apply_url": "https://jobs.lever.co/veeva/57a5f192-5d65-4460-859a-1b1b7ace930a",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Business Consultant - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Senior Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, but staffing will remain fungible across R&D and movement between practices is always permitted. The Role As a Senior Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "bonus_offered": {
          "field": "bonus_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "bonus_offered"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "assessment_required": {
          "field": "assessment_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "assessment_required"
        },
        "cover_letter_required": {
          "field": "cover_letter_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "cover_letter_required"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "operations",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.13562cd581e14063ac",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "4839fb5261914906a8859ca7383c6822",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description matched \"together\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Business Consultant - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Senior Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, but staffing will remain fungible across R&D and movement between practices is always permitted. The Role As a Senior Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will",
          "matched_input": "together",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:4839fb5261914906a8859ca7383c6822:description:together",
          "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.c919da43586d3f4022",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "4839fb5261914906a8859ca7383c6822",
          "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 Business Consultant - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Senior Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, but staffing will remain fungible across R&D and movement between practices is always permitted. The Role As a Senior Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:4839fb5261914906a8859ca7383c6822: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.c522a06f861df416f9",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "4839fb5261914906a8859ca7383c6822",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Senior Business Consultant - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Senior Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, but staffing will remain fungible across R&D and movement between practices is always permitted. The Role As a Senior Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.fd508af4f8e6182e93",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "4839fb5261914906a8859ca7383c6822",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description contains \"together\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Senior Business Consultant - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Senior Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, but staffing will remain fungible across R&D and movement between practices is always permitted. The Role As a Senior Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will",
          "matched_input": "together",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": null,
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/57a5f192-5d65-4460-859a-1b1b7ace930a",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/57a5f192-5d65-4460-859a-1b1b7ace930a",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/57a5f192-5d65-4460-859a-1b1b7ace930a",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/57a5f192-5d65-4460-859a-1b1b7ace930a",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/57a5f192-5d65-4460-859a-1b1b7ace930a",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/57a5f192-5d65-4460-859a-1b1b7ace930a",
          "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": "37d2a043e80db301d2cb14ea799796aa",
      "title": "Senior AI Engineer (Agentic AI)",
      "employer_name": "The Procter & Gamble Company",
      "employer_slug": "the-procter-gamble",
      "location_text": "WARSAW DOWNTOWN OFFICE",
      "country": "PL",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "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": "2026-05-29T00:00:00.000Z",
      "apply_url": "https://pg.wd5.myworkdayjobs.com/1000/job/WARSAW-DOWNTOWN-OFFICE/Senior-AI-Engineer--Agentic-AI-_R000151205",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior AI Engineer (Agentic AI) WARSAW DOWNTOWN OFFICE posted: Posted 14 Days Ago",
      "parental_leave_weeks": 8,
      "non_birth_parent_leave_weeks": 8,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://us.pg.com/policies-and-practices/employee-rights-policy/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 81,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/80424/000008042425000076/pg-20250630.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/80424/000008042425000076/pg-20250630.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://us.pg.com/policies-and-practices/employee-rights-policy/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://us.pg.com/policies-and-practices/employee-rights-policy/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://us.pg.com/policies-and-practices/employee-rights-policy/",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://us.pg.com/policies-and-practices/employee-rights-policy/"
        }
      },
      "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": "Retail",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.15cf26b263d85274ea",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "37d2a043e80db301d2cb14ea799796aa",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior AI Engineer (Agentic 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.7f45ac0fc758a25235",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "37d2a043e80db301d2cb14ea799796aa",
          "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": "together ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:37d2a043e80db301d2cb14ea799796aa: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/80424/000008042425000076/pg-20250630.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/80424/000008042425000076/pg-20250630.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://pg.wd5.myworkdayjobs.com/1000/job/WARSAW-DOWNTOWN-OFFICE/Senior-AI-Engineer--Agentic-AI-_R000151205",
          "source_values": [
            "https://us.pg.com/policies-and-practices/employee-rights-policy/"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://pg.wd5.myworkdayjobs.com/1000/job/WARSAW-DOWNTOWN-OFFICE/Senior-AI-Engineer--Agentic-AI-_R000151205",
          "source_values": [
            "https://us.pg.com/policies-and-practices/employee-rights-policy/"
          ],
          "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://pg.wd5.myworkdayjobs.com/1000/job/WARSAW-DOWNTOWN-OFFICE/Senior-AI-Engineer--Agentic-AI-_R000151205",
          "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://pg.wd5.myworkdayjobs.com/1000/job/WARSAW-DOWNTOWN-OFFICE/Senior-AI-Engineer--Agentic-AI-_R000151205",
          "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": "2a4b1a641c1b69a62c9fd0e693959830",
      "title": "(Senior)Scientist, AI Alliance/Innovation",
      "employer_name": "AstraZeneca",
      "employer_slug": "astrazeneca",
      "location_text": "Shanghai Jing'An Office",
      "country": "CN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-02T00:00:00.000Z",
      "apply_url": "https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/Shanghai-JingAn-Office/XMLNAME--Senior-Scientist--AI-Alliance-Innovation_R-253487",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "(Senior)Scientist, AI Alliance/Innovation Shanghai Jing'An Office posted: Posted 10 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "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": null,
      "employer_industry_source": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.4f56a5419cfca6e749",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "2a4b1a641c1b69a62c9fd0e693959830",
          "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)Scientist, AI Alliance/Innovation",
          "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.b8d69de34b9bf999c0",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "2a4b1a641c1b69a62c9fd0e693959830",
          "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": "together ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:2a4b1a641c1b69a62c9fd0e693959830:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": null,
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/Shanghai-JingAn-Office/XMLNAME--Senior-Scientist--AI-Alliance-Innovation_R-253487",
          "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://astrazeneca.wd3.myworkdayjobs.com/Careers/job/Shanghai-JingAn-Office/XMLNAME--Senior-Scientist--AI-Alliance-Innovation_R-253487",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "4a4547684cf9c4185f8cd0f6acb1de69",
      "title": "Implementation Specialist",
      "employer_name": "Anthropic",
      "employer_slug": "anthropic",
      "location_text": "San Francisco, CA",
      "country": "US",
      "employment_type": "contract",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 151840,
      "salary_max": 260000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "ote",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 151840,
      "base_salary_max": 260000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cnbc_disruptor50",
        "cbinsights_unicorn",
        "sequoia"
      ],
      "posted_at": "2026-05-29T13:26:26.000Z",
      "apply_url": "https://job-boards.greenhouse.io/anthropic/jobs/5233951008",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Implementation Specialist San Francisco, CA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We're building a team of Implementation Specialists to be the technical hands that switch Claude on inside our largest customers - the people who turn \"we've signed the contract\" into \"our employees can log in, with the right access, under the right policies, the way our security team expects.\" Before any CSM can drive adoption, before any Technical Specialist can run a workshop, before any champion can ship their first workflow, someone has to connect Claude to the customer's identity provider, get the right people provisioned into the right workspaces, and walk their CISO through how it all comes together. That's your work. This is not an adoption or enablement role - those sit with our Customer Success Managers and Technical Specialists. Your job is technical deployment, security credibility, and clean handoffs. You'll spend your time inside customer identity providers - Okta, Entra ID, Ping, Google Workspace - on working sessions with customer IT and IAM leads, debugging SAML assertions and SCIM attribute mappings, and authoring the runbooks that make every downstream hour of CS and Enablement investment compound instead of evaporate. You should be the kind of person",
      "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": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "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": 3,
      "years_experience_max": 7,
      "role_function": "customer_success",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": 25,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.465ad9cd6586c2ff7d",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "4a4547684cf9c4185f8cd0f6acb1de69",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description matched \"together\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Implementation Specialist San Francisco, CA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We're building a team of Implementation Specialists to be the technical hands that switch Claude on inside our largest customers - the people who turn \"we've signed the contract\" into \"our employees can log in, with the right access, under the right policies, the way our security team expects.\" Before any CSM can drive adoption, before any Technical Specialist can run a workshop, before any champion can ship their first workflow, someone has to connect Claude to the customer's identity provider, get the right people provisioned into the right workspaces, and walk their CISO through how it all comes together. That's your work. This is not an adoption or enablement role - those sit with our Customer Success Managers and Technical Specialists. Your job is technical deployment, security credibility, and clean handoffs. You'll spend your time inside customer identity providers - Okta, Entra ID, Ping, Google Workspace - on working sessions with customer IT and IAM leads, debugging SAML assertions and SCIM attribute mappings, and authoring the runbooks that make every downstream hour of CS and Enablement investment compound instead of evaporate. You should be the kind of person",
          "matched_input": "together",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:4a4547684cf9c4185f8cd0f6acb1de69:description:together",
          "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.f6466bbfadc8c73a42",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "4a4547684cf9c4185f8cd0f6acb1de69",
          "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": "Implementation Specialist San Francisco, CA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We're building a team of Implementation Specialists to be the technical hands that switch Claude on inside our largest customers - the people who turn \"we've signed the contract\" into \"our employees can log in, with the right access, under the right policies, the way our security team expects.\" Before any CSM can drive adoption, before any Technical Specialist can run a workshop, before any champion can ship their first workflow, someone has to connect Claude to the customer's identity provider, get the right people provisioned into the right workspaces, and walk their CISO through how it all comes together. That's your work. This is not an adoption or enablement role - those sit with our Customer Success Managers and Technical Specialists. Your job is technical deployment, security credibility, and clean handoffs. You'll spend your time inside customer identity providers - Okta, Entra ID, Ping, Google Workspace - on working sessions with customer IT and IAM leads, debugging SAML assertions and SCIM attribute mappings, and authoring the runbooks that make every downstream hour of CS and Enablement investment compound instead of evaporate. You should be the kind of person",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:4a4547684cf9c4185f8cd0f6acb1de69: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.20b17dd230b9b45590",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "4a4547684cf9c4185f8cd0f6acb1de69",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description contains \"together\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Implementation Specialist San Francisco, CA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We're building a team of Implementation Specialists to be the technical hands that switch Claude on inside our largest customers - the people who turn \"we've signed the contract\" into \"our employees can log in, with the right access, under the right policies, the way our security team expects.\" Before any CSM can drive adoption, before any Technical Specialist can run a workshop, before any champion can ship their first workflow, someone has to connect Claude to the customer's identity provider, get the right people provisioned into the right workspaces, and walk their CISO through how it all comes together. That's your work. This is not an adoption or enablement role - those sit with our Customer Success Managers and Technical Specialists. Your job is technical deployment, security credibility, and clean handoffs. You'll spend your time inside customer identity providers - Okta, Entra ID, Ping, Google Workspace - on working sessions with customer IT and IAM leads, debugging SAML assertions and SCIM attribute mappings, and authoring the runbooks that make every downstream hour of CS and Enablement investment compound instead of evaporate. You should be the kind of person",
          "matched_input": "together",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.99a4ea6e6e8f60dcf7",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "4a4547684cf9c4185f8cd0f6acb1de69",
          "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": "Implementation Specialist San Francisco, CA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We're building a team of Implementation Specialists to be the technical hands that switch Claude on inside our largest customers - the people who turn \"we've signed the contract\" into \"our employees can log in, with the right access, under the right policies, the way our security team expects.\" Before any CSM can drive adoption, before any Technical Specialist can run a workshop, before any champion can ship their first workflow, someone has to connect Claude to the customer's identity provider, get the right people provisioned into the right workspaces, and walk their CISO through how it all comes together. That's your work. This is not an adoption or enablement role - those sit with our Customer Success Managers and Technical Specialists. Your job is technical deployment, security credibility, and clean handoffs. You'll spend your time inside customer identity providers - Okta, Entra ID, Ping, Google Workspace - on working sessions with customer IT and IAM leads, debugging SAML assertions and SCIM attribute mappings, and authoring the runbooks that make every downstream hour of CS and Enablement investment compound instead of evaporate. You should be the kind of person",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/anthropic/jobs/5233951008",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/anthropic/jobs/5233951008",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/anthropic/jobs/5233951008",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "equity_included": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/anthropic/jobs/5233951008",
          "source_values": [
            "derived:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/anthropic/jobs/5233951008",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/anthropic/jobs/5233951008",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "99ee2b8125d69ab55c1cd67510b5267e",
      "title": "Engagement Manager - Life Sciences R&D",
      "employer_name": "Veeva Systems",
      "employer_slug": "veeva-systems",
      "location_text": "Massachusetts - Boston",
      "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": 85000,
      "salary_max": 210000,
      "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": 85000,
      "base_salary_max": 210000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": 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": "2024-06-20T18:43:55.086Z",
      "apply_url": "https://jobs.lever.co/veeva/04e8ed79-e604-4f43-bd8b-dd785a546a99",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Engagement Manager - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As an Engagement Manager in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, and become a thought leader for the industry. The Role As an Engagement Manager in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "bonus_offered": {
          "field": "bonus_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "bonus_offered"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "assessment_required": {
          "field": "assessment_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "assessment_required"
        },
        "cover_letter_required": {
          "field": "cover_letter_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "cover_letter_required"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 8,
      "years_experience_max": 9,
      "role_function": "healthcare",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ca436db27b3e5cf8e2",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "99ee2b8125d69ab55c1cd67510b5267e",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description matched \"together\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Engagement Manager - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As an Engagement Manager in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, and become a thought leader for the industry. The Role As an Engagement Manager in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational",
          "matched_input": "together",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:99ee2b8125d69ab55c1cd67510b5267e:description:together",
          "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.d405105dad52d06392",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "99ee2b8125d69ab55c1cd67510b5267e",
          "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": "Engagement Manager - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As an Engagement Manager in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, and become a thought leader for the industry. The Role As an Engagement Manager in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:99ee2b8125d69ab55c1cd67510b5267e: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.ab2a06a38e570f139b",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "99ee2b8125d69ab55c1cd67510b5267e",
          "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": "Engagement Manager - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As an Engagement Manager in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, and become a thought leader for the industry. The Role As an Engagement Manager in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ce594ec127b164415c",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "99ee2b8125d69ab55c1cd67510b5267e",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description contains \"together\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Engagement Manager - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As an Engagement Manager in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, and become a thought leader for the industry. The Role As an Engagement Manager in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational",
          "matched_input": "together",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": null,
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/04e8ed79-e604-4f43-bd8b-dd785a546a99",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/04e8ed79-e604-4f43-bd8b-dd785a546a99",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/04e8ed79-e604-4f43-bd8b-dd785a546a99",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/04e8ed79-e604-4f43-bd8b-dd785a546a99",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/04e8ed79-e604-4f43-bd8b-dd785a546a99",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/04e8ed79-e604-4f43-bd8b-dd785a546a99",
          "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": "6cd99b895ce94c01294ef3d11d579c1f",
      "title": "Head of Strategic Partnerships & AI Ecosystem",
      "employer_name": "Sendbird",
      "employer_slug": "sendbird",
      "location_text": "San Mateo, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 300000,
      "salary_max": 340000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "ote",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 300000,
      "base_salary_max": 340000,
      "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": true,
      "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",
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://sendbird.com/careers?gh_jid=8451923002",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Head of Strategic Partnerships & AI Ecosystem San Mateo, California, United States The AI ecosystem is being redrawn in real time. The person who wins this role won't just watch it happen. They'll be the one shaping where Delight.ai sits inside it. The Company Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations-chat, voice, video, messaging APIs-and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users. We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good. We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack-into intelligence, into experience, into outcomes. We had a choice: protect what we built, or reinvent ourselves. We chose reinvention. In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX-built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai. The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost-the feeling of being truly understood and cared for. Not satisfied. Delighted. The Product Delight.ai is the AI",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": 20,
      "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": {
        "pto_days": {
          "field": "pto_days",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "pto_days"
        },
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 10,
      "years_experience_max": 12,
      "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": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.e25502239b1fdea8ad",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "6cd99b895ce94c01294ef3d11d579c1f",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Head of Strategic Partnerships & AI Ecosystem",
          "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.f963f58c1af88475a7",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "6cd99b895ce94c01294ef3d11d579c1f",
          "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": "together ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:6cd99b895ce94c01294ef3d11d579c1f: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://sendbird.com/careers?gh_jid=8451923002",
          "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://sendbird.com/careers?gh_jid=8451923002",
          "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://sendbird.com/careers?gh_jid=8451923002",
          "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"
        },
        "pto_days": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://sendbird.com/careers?gh_jid=8451923002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://sendbird.com/careers?gh_jid=8451923002",
          "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://sendbird.com/careers?gh_jid=8451923002",
          "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://sendbird.com/careers?gh_jid=8451923002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://sendbird.com/careers?gh_jid=8451923002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "9e15c951b60dbdc17aa7899f4dc8500c",
      "title": "AI Software Engineer",
      "employer_name": "Microsoft",
      "employer_slug": "microsoft",
      "location_text": "Prague, Prague, CZ",
      "country": "CZ",
      "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": "2026-05-26T12:53:09.000Z",
      "apply_url": "https://apply.careers.microsoft.com/careers/job/1970393556869510",
      "apply_url_verified": false,
      "ats": "microsoft_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Software Engineer Prague, Prague, CZ",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/789019/000095017025100235/msft-20250630.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule:title_override",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/789019/000095017025100235/msft-20250630.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "rule:title_override",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.7d6b933e4cd06214d8",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "9e15c951b60dbdc17aa7899f4dc8500c",
          "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.d0356c0256a3f83252",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "9e15c951b60dbdc17aa7899f4dc8500c",
          "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": "together ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:9e15c951b60dbdc17aa7899f4dc8500c:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": null,
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/789019/000095017025100235/msft-20250630.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/789019/000095017025100235/msft-20250630.htm"
          ],
          "checked_at": null
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-13T01:18:42.546Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://apply.careers.microsoft.com/careers/job/1970393556869510",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://apply.careers.microsoft.com/careers/job/1970393556869510",
          "source_values": [
            "rule:title_override"
          ],
          "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": "a0d893fa021846a0ba9df600044e3901",
      "title": "Join our talent community!",
      "employer_name": "Lighthouse",
      "employer_slug": "lighthouse",
      "location_text": "Open",
      "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": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2023-10-24T16:08:53.000Z",
      "apply_url": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4189647101",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Join our talent community! Open Our Mission: Why Lighthouse? At Lighthouse, we're on a mission to revolutionize commercial strategy as hospitality's most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue. With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software-they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act. Lighthouse Values: Our guiding light We are Lumineers . Our shared values keep us on a collaborative path fostering a cultural and customer centric environment - Pursuit of greatness : We're innovators who care deeply about our customers' success. Our team brings their best work, stays curious, and delivers excellence through attention to detail - Meaningful work matters : We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward - Elevate each other : We don't just work together - we grow together. What unites us is understanding each other as people and",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "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": "rule",
          "db_column": "role_function"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "equity_included": {
          "field": "equity_included",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "equity_included"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "hr",
      "role_function_source": "rule",
      "company_stage": "series_c",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.066b67f44e500e0b21",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "a0d893fa021846a0ba9df600044e3901",
          "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": "Join our talent community! Open Our Mission: Why Lighthouse? At Lighthouse, we're on a mission to revolutionize commercial strategy as hospitality's most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue. With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software-they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act. Lighthouse Values: Our guiding light We are Lumineers . Our shared values keep us on a collaborative path fostering a cultural and customer centric environment - Pursuit of greatness : We're innovators who care deeply about our customers' success. Our team brings their best work, stays curious, and delivers excellence through attention to detail - Meaningful work matters : We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward - Elevate each other : We don't just work together - we grow together. What unites us is understanding each other as people and",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:a0d893fa021846a0ba9df600044e3901: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.e572dfdf7ece32aab3",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "a0d893fa021846a0ba9df600044e3901",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description matched \"together\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Join our talent community! Open Our Mission: Why Lighthouse? At Lighthouse, we're on a mission to revolutionize commercial strategy as hospitality's most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue. With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software-they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act. Lighthouse Values: Our guiding light We are Lumineers . Our shared values keep us on a collaborative path fostering a cultural and customer centric environment - Pursuit of greatness : We're innovators who care deeply about our customers' success. Our team brings their best work, stays curious, and delivers excellence through attention to detail - Meaningful work matters : We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward - Elevate each other : We don't just work together - we grow together. What unites us is understanding each other as people and",
          "matched_input": "together",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:a0d893fa021846a0ba9df600044e3901:description:together",
          "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.503785cbffc05be01e",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "a0d893fa021846a0ba9df600044e3901",
          "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": "Join our talent community! Open Our Mission: Why Lighthouse? At Lighthouse, we're on a mission to revolutionize commercial strategy as hospitality's most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue. With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software-they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act. Lighthouse Values: Our guiding light We are Lumineers . Our shared values keep us on a collaborative path fostering a cultural and customer centric environment - Pursuit of greatness : We're innovators who care deeply about our customers' success. Our team brings their best work, stays curious, and delivers excellence through attention to detail - Meaningful work matters : We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward - Elevate each other : We don't just work together - we grow together. What unites us is understanding each other as people and",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d5232c5e196c6d874b",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "a0d893fa021846a0ba9df600044e3901",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description contains \"together\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Join our talent community! Open Our Mission: Why Lighthouse? At Lighthouse, we're on a mission to revolutionize commercial strategy as hospitality's most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue. With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software-they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act. Lighthouse Values: Our guiding light We are Lumineers . Our shared values keep us on a collaborative path fostering a cultural and customer centric environment - Pursuit of greatness : We're innovators who care deeply about our customers' success. Our team brings their best work, stays curious, and delivers excellence through attention to detail - Meaningful work matters : We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward - Elevate each other : We don't just work together - we grow together. What unites us is understanding each other as people and",
          "matched_input": "together",
          "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://job-boards.eu.greenhouse.io/lighthouse/jobs/4189647101",
          "source_values": [
            "derived:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4189647101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4189647101",
          "source_values": [
            "rule"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4189647101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "b2d595d95ba49f5c67e89f7346c3ed7a",
      "title": "Senior Business Consultant - Global Content",
      "employer_name": "Veeva Systems",
      "employer_slug": "veeva-systems",
      "location_text": "Massachusetts - Boston",
      "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": 80000,
      "salary_max": 200000,
      "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": 80000,
      "base_salary_max": 200000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-10-20T22:12:07.005Z",
      "apply_url": "https://jobs.lever.co/veeva/08d65a5f-a2f6-4ad3-abe1-1404c362e818",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Business Consultant - Global Content Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Senior Consultant in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. You will have the opportunity to shape new ways of working in the end-to-end content operating model - from incorporating AI into a tier-based MLR process, to refining content creation strategy through Claims and Modular Content. These processes and tools help customers get personalized, impactful content to market faster, allowing them to quickly communicate important information to HCPs and patients. The Role As a Senior Consultant in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology,",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "bonus_offered": {
          "field": "bonus_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "bonus_offered"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "operations",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.6228eac49eca5a6f42",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "b2d595d95ba49f5c67e89f7346c3ed7a",
          "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 Business Consultant - Global Content Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Senior Consultant in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. You will have the opportunity to shape new ways of working in the end-to-end content operating model - from incorporating AI into a tier-based MLR process, to refining content creation strategy through Claims and Modular Content. These processes and tools help customers get personalized, impactful content to market faster, allowing them to quickly communicate important information to HCPs and patients. The Role As a Senior Consultant in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology,",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:b2d595d95ba49f5c67e89f7346c3ed7a: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.b523debc90174c45e2",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "b2d595d95ba49f5c67e89f7346c3ed7a",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description matched \"together\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Business Consultant - Global Content Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Senior Consultant in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. You will have the opportunity to shape new ways of working in the end-to-end content operating model - from incorporating AI into a tier-based MLR process, to refining content creation strategy through Claims and Modular Content. These processes and tools help customers get personalized, impactful content to market faster, allowing them to quickly communicate important information to HCPs and patients. The Role As a Senior Consultant in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology,",
          "matched_input": "together",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:b2d595d95ba49f5c67e89f7346c3ed7a:description:together",
          "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.0b8316b7d60221ca3b",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "b2d595d95ba49f5c67e89f7346c3ed7a",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description contains \"together\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Senior Business Consultant - Global Content Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Senior Consultant in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. You will have the opportunity to shape new ways of working in the end-to-end content operating model - from incorporating AI into a tier-based MLR process, to refining content creation strategy through Claims and Modular Content. These processes and tools help customers get personalized, impactful content to market faster, allowing them to quickly communicate important information to HCPs and patients. The Role As a Senior Consultant in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology,",
          "matched_input": "together",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.cfc76e483efb7f9fd2",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "b2d595d95ba49f5c67e89f7346c3ed7a",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Senior Business Consultant - Global Content Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Senior Consultant in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. You will have the opportunity to shape new ways of working in the end-to-end content operating model - from incorporating AI into a tier-based MLR process, to refining content creation strategy through Claims and Modular Content. These processes and tools help customers get personalized, impactful content to market faster, allowing them to quickly communicate important information to HCPs and patients. The Role As a Senior Consultant in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology,",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": null,
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/08d65a5f-a2f6-4ad3-abe1-1404c362e818",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/08d65a5f-a2f6-4ad3-abe1-1404c362e818",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/08d65a5f-a2f6-4ad3-abe1-1404c362e818",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/08d65a5f-a2f6-4ad3-abe1-1404c362e818",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/08d65a5f-a2f6-4ad3-abe1-1404c362e818",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/08d65a5f-a2f6-4ad3-abe1-1404c362e818",
          "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": "15d11b00b6c00a45752417e19d50b40b",
      "title": "Partner Program Director",
      "employer_name": "Cresta",
      "employer_slug": "cresta",
      "location_text": "United States (Remote)",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z",
        "sequoia"
      ],
      "posted_at": "2026-06-08T15:18:20.000Z",
      "apply_url": "https://job-boards.greenhouse.io/cresta/jobs/5250874008",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Partner Program Director United States (Remote) Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta's unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world's leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world's leading investors, including a16z, Greylock, and Sequoia. Cresta's leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. As a Partner Program Director, you will own the relationship with Cresta's Partners and work with the internal Partner Team to help showcase and enable the power of Cresta to both partners and potential mutual customers. This role is critical to the long-term growth of Cresta, where we view partnerships as a primary way to scale growth and customer base. In this role, you will sit at the intersection of partnerships, product, and go-to-market teams, ensuring that partners are enabled, technically equipped, and positioned to successfully deliver joint solutions to customers. Success in this role",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 51,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "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"
        },
        "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": "director_plus",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 10,
      "years_experience_max": null,
      "role_function": "customer_success",
      "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.289fa2cf616a93556a",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "15d11b00b6c00a45752417e19d50b40b",
          "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": "Partner Program Director United States (Remote) Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta's unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world's leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world's leading investors, including a16z, Greylock, and Sequoia. Cresta's leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. As a Partner Program Director, you will own the relationship with Cresta's Partners and work with the internal Partner Team to help showcase and enable the power of Cresta to both partners and potential mutual customers. This role is critical to the long-term growth of Cresta, where we view partnerships as a primary way to scale growth and customer base. In this role, you will sit at the intersection of partnerships, product, and go-to-market teams, ensuring that partners are enabled, technically equipped, and positioned to successfully deliver joint solutions to customers. Success in this role",
          "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.a098a3f05e62abf405",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "15d11b00b6c00a45752417e19d50b40b",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "customer_success",
          "matched_input": "together ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:15d11b00b6c00a45752417e19d50b40b:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/cresta/jobs/5250874008",
          "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://job-boards.greenhouse.io/cresta/jobs/5250874008",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/cresta/jobs/5250874008",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "d47ecce656d59a437be788aa6bbb3cc0",
      "title": "AI for Science Internship - Machine Learning Intern",
      "employer_name": "Microsoft",
      "employer_slug": "microsoft",
      "location_text": "Berlin, BE, DE",
      "country": "DE",
      "employment_type": "internship",
      "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": "2026-05-27T10:40:39.000Z",
      "apply_url": "https://apply.careers.microsoft.com/careers/job/1970393556869781",
      "apply_url_verified": false,
      "ats": "microsoft_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI for Science Internship - Machine Learning Intern Berlin, BE, DE",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/789019/000095017025100235/msft-20250630.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "employment_type": {
          "field": "employment_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "employment_type"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/789019/000095017025100235/msft-20250630.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "entry",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 0,
      "years_experience_max": 4,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.c9194bf2a3039ec76c",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "d47ecce656d59a437be788aa6bbb3cc0",
          "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 for Science Internship - Machine Learning Intern",
          "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.722bf818f722951998",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "d47ecce656d59a437be788aa6bbb3cc0",
          "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": "together ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:d47ecce656d59a437be788aa6bbb3cc0:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": null,
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/789019/000095017025100235/msft-20250630.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/789019/000095017025100235/msft-20250630.htm"
          ],
          "checked_at": null
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-13T01:18:42.546Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://apply.careers.microsoft.com/careers/job/1970393556869781",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://apply.careers.microsoft.com/careers/job/1970393556869781",
          "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": "b30ef34a0ec1ec99524a33b76022dad3",
      "title": "Account Executive",
      "employer_name": "Lighthouse",
      "employer_slug": "lighthouse",
      "location_text": "Denver Metropolitan Area",
      "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": 70000,
      "salary_max": 80000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "ote",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 70000,
      "base_salary_max": 80000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": 4,
      "match_401k_pct_source": "llm:greenfield:inv_371_postfix",
      "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": true,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2023-06-06T16:54:20.000Z",
      "apply_url": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4164128101",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Account Executive Denver Metropolitan Area Our Mission: Why Lighthouse? At Lighthouse, we're on a mission to revolutionize commercial strategy as hospitality's most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue. With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software-they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act. Lighthouse Values: Our guiding light We are Lumineers . Our shared values keep us on a collaborative path fostering a cultural and customer centric environment - Pursuit of greatness : We're innovators who care deeply about our customers' success. Our team brings their best work, stays curious, and delivers excellence through attention to detail - Meaningful work matters : We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward - Elevate each other : We don't just work together - we grow together. What unites us is understanding each other as people and",
      "parental_leave_weeks": 12,
      "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"
        },
        "k401_match": {
          "field": "k401_match",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "k401_match"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "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"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "match_401k_pct": {
          "field": "match_401k_pct",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "match_401k_pct"
        },
        "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"
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "parental_leave_weeks"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "sales",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "series_c",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": 4,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7ac1b528b4fd74707b",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "b30ef34a0ec1ec99524a33b76022dad3",
          "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": "Account Executive Denver Metropolitan Area Our Mission: Why Lighthouse? At Lighthouse, we're on a mission to revolutionize commercial strategy as hospitality's most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue. With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software-they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act. Lighthouse Values: Our guiding light We are Lumineers . Our shared values keep us on a collaborative path fostering a cultural and customer centric environment - Pursuit of greatness : We're innovators who care deeply about our customers' success. Our team brings their best work, stays curious, and delivers excellence through attention to detail - Meaningful work matters : We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward - Elevate each other : We don't just work together - we grow together. What unites us is understanding each other as people and",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:b30ef34a0ec1ec99524a33b76022dad3: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.bacf16aeec8a3253e0",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "b30ef34a0ec1ec99524a33b76022dad3",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description matched \"together\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Account Executive Denver Metropolitan Area Our Mission: Why Lighthouse? At Lighthouse, we're on a mission to revolutionize commercial strategy as hospitality's most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue. With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software-they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act. Lighthouse Values: Our guiding light We are Lumineers . Our shared values keep us on a collaborative path fostering a cultural and customer centric environment - Pursuit of greatness : We're innovators who care deeply about our customers' success. Our team brings their best work, stays curious, and delivers excellence through attention to detail - Meaningful work matters : We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward - Elevate each other : We don't just work together - we grow together. What unites us is understanding each other as people and",
          "matched_input": "together",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:b30ef34a0ec1ec99524a33b76022dad3:description:together",
          "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.7207f99c40df0ba8e5",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "b30ef34a0ec1ec99524a33b76022dad3",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description contains \"together\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Account Executive Denver Metropolitan Area Our Mission: Why Lighthouse? At Lighthouse, we're on a mission to revolutionize commercial strategy as hospitality's most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue. With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software-they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act. Lighthouse Values: Our guiding light We are Lumineers . Our shared values keep us on a collaborative path fostering a cultural and customer centric environment - Pursuit of greatness : We're innovators who care deeply about our customers' success. Our team brings their best work, stays curious, and delivers excellence through attention to detail - Meaningful work matters : We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward - Elevate each other : We don't just work together - we grow together. What unites us is understanding each other as people and",
          "matched_input": "together",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d725b0bf1fb5963241",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "b30ef34a0ec1ec99524a33b76022dad3",
          "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": "Account Executive Denver Metropolitan Area Our Mission: Why Lighthouse? At Lighthouse, we're on a mission to revolutionize commercial strategy as hospitality's most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue. With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software-they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act. Lighthouse Values: Our guiding light We are Lumineers . Our shared values keep us on a collaborative path fostering a cultural and customer centric environment - Pursuit of greatness : We're innovators who care deeply about our customers' success. Our team brings their best work, stays curious, and delivers excellence through attention to detail - Meaningful work matters : We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward - Elevate each other : We don't just work together - we grow together. What unites us is understanding each other as people and",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4164128101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4164128101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4164128101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4164128101",
          "source_values": [
            "derived:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4164128101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "match_401k_pct": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4164128101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "k401_match": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4164128101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4164128101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4164128101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4164128101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/lighthouse/jobs/4164128101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "c702f242cf0cf2e5fa5f414e54902110",
      "title": "Engagement Manager - Commercial",
      "employer_name": "Veeva Systems",
      "employer_slug": "veeva-systems",
      "location_text": "Germany - Berlin",
      "country": "DE",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": 110000,
      "salary_max": 180000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "EUR",
      "salary_type": "total_comp",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 110000,
      "base_salary_max": 180000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": 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": "2026-05-15T15:09:45.636Z",
      "apply_url": "https://jobs.lever.co/veeva/de5bc20f-481e-4790-a291-d50f53c0887d",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Engagement Manager - Commercial Germany - Berlin Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As an Engagement Manager in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to deliver tangible, scalable execution that others simply cannot replicate. The Role As an Engagement Manager in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to deliver",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "assessment_required": {
          "field": "assessment_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "assessment_required"
        },
        "cover_letter_required": {
          "field": "cover_letter_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "cover_letter_required"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 8,
      "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": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.02dbf4d63497b76ede",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "c702f242cf0cf2e5fa5f414e54902110",
          "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": "Engagement Manager - Commercial Germany - Berlin Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As an Engagement Manager in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to deliver tangible, scalable execution that others simply cannot replicate. The Role As an Engagement Manager in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to deliver",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:c702f242cf0cf2e5fa5f414e54902110: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.19259b96dcc77b7253",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "c702f242cf0cf2e5fa5f414e54902110",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description matched \"together\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Engagement Manager - Commercial Germany - Berlin Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As an Engagement Manager in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to deliver tangible, scalable execution that others simply cannot replicate. The Role As an Engagement Manager in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to deliver",
          "matched_input": "together",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:c702f242cf0cf2e5fa5f414e54902110:description:together",
          "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.592481dd96a556b2f2",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "c702f242cf0cf2e5fa5f414e54902110",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description contains \"together\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Engagement Manager - Commercial Germany - Berlin Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As an Engagement Manager in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to deliver tangible, scalable execution that others simply cannot replicate. The Role As an Engagement Manager in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to deliver",
          "matched_input": "together",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8a91414ad4906055e7",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "c702f242cf0cf2e5fa5f414e54902110",
          "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": "Engagement Manager - Commercial Germany - Berlin Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As an Engagement Manager in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to deliver tangible, scalable execution that others simply cannot replicate. The Role As an Engagement Manager in our Commercial Business Consulting practice, you won't just advise on the future of Life Sciences - you'll be building it. We help our customers bring treatments to patients faster by fundamentally transforming their operating models, powered by the industry's most advanced technology, AI and data. Unlike traditional firms, we move beyond \"slides and theory\" to deliver",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": null,
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/de5bc20f-481e-4790-a291-d50f53c0887d",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/de5bc20f-481e-4790-a291-d50f53c0887d",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/de5bc20f-481e-4790-a291-d50f53c0887d",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/de5bc20f-481e-4790-a291-d50f53c0887d",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/de5bc20f-481e-4790-a291-d50f53c0887d",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/de5bc20f-481e-4790-a291-d50f53c0887d",
          "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": "142bad8901dad93f53f7b49d70df5a46",
      "title": "AI Intern",
      "employer_name": "EXL Service",
      "employer_slug": "exl-service",
      "location_text": "United States",
      "country": "US",
      "employment_type": "internship",
      "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": 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": "2026-06-10T00:00:00.000Z",
      "apply_url": "https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/requisitions/job/15428",
      "apply_url_verified": false,
      "ats": "oracle_recruiting_cloud",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Intern United States AI Intern",
      "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/1297989/000129798926000008/exls-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "employment_type": {
          "field": "employment_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "employment_type"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1297989/000129798926000008/exls-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "entry",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 0,
      "years_experience_max": 4,
      "role_function": "other",
      "role_function_source": "unknown",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.2782768b68db83cdfb",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "142bad8901dad93f53f7b49d70df5a46",
          "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 Intern",
          "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.d27a756632bdcf752a",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "142bad8901dad93f53f7b49d70df5a46",
          "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": "together ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:142bad8901dad93f53f7b49d70df5a46:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1297989/000129798926000008/exls-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1297989/000129798926000008/exls-20251231.htm"
          ],
          "checked_at": null
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/requisitions/job/15428",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "e871eeff989ae7f2c6aacf30da427166",
      "title": "Business Consultant - Life Sciences R&D",
      "employer_name": "Veeva Systems",
      "employer_slug": "veeva-systems",
      "location_text": "Massachusetts - Boston",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 70000,
      "salary_max": 140000,
      "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": 70000,
      "base_salary_max": 140000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": 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": "2022-12-22T22:00:47.198Z",
      "apply_url": "https://jobs.lever.co/veeva/37488d45-7882-41b6-ba8a-d51d71bab1f2",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Business Consultant - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Consultant in R&D, you will help pharma bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, but staffing will remain fungible across R&D and movement between practices is always permitted. The Role As a Consultant in R&D, you will help pharma bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "bonus_offered": {
          "field": "bonus_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "bonus_offered"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "assessment_required": {
          "field": "assessment_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "assessment_required"
        },
        "cover_letter_required": {
          "field": "cover_letter_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "cover_letter_required"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "operations",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.49c34eb7fe38e5cd3f",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "e871eeff989ae7f2c6aacf30da427166",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description matched \"together\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Business Consultant - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Consultant in R&D, you will help pharma bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, but staffing will remain fungible across R&D and movement between practices is always permitted. The Role As a Consultant in R&D, you will help pharma bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping",
          "matched_input": "together",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:e871eeff989ae7f2c6aacf30da427166:description:together",
          "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.b3d8ce1ba6a03b355a",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "e871eeff989ae7f2c6aacf30da427166",
          "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 Consultant - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Consultant in R&D, you will help pharma bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, but staffing will remain fungible across R&D and movement between practices is always permitted. The Role As a Consultant in R&D, you will help pharma bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:e871eeff989ae7f2c6aacf30da427166: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.409622c08b89ab4ef7",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "e871eeff989ae7f2c6aacf30da427166",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Business Consultant - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Consultant in R&D, you will help pharma bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, but staffing will remain fungible across R&D and movement between practices is always permitted. The Role As a Consultant in R&D, you will help pharma bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.dd3792423866f0a8fa",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "e871eeff989ae7f2c6aacf30da427166",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description contains \"together\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Business Consultant - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Consultant in R&D, you will help pharma bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, but staffing will remain fungible across R&D and movement between practices is always permitted. The Role As a Consultant in R&D, you will help pharma bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping",
          "matched_input": "together",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": null,
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/37488d45-7882-41b6-ba8a-d51d71bab1f2",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/37488d45-7882-41b6-ba8a-d51d71bab1f2",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/37488d45-7882-41b6-ba8a-d51d71bab1f2",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/37488d45-7882-41b6-ba8a-d51d71bab1f2",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/37488d45-7882-41b6-ba8a-d51d71bab1f2",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/37488d45-7882-41b6-ba8a-d51d71bab1f2",
          "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": "eee66796f8b2a102655ef4dc19068f14",
      "title": "Principal Business Consultant - Life Sciences R&D",
      "employer_name": "Veeva Systems",
      "employer_slug": "veeva-systems",
      "location_text": "Massachusetts - Boston",
      "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": 120000,
      "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": 120000,
      "base_salary_max": 250000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": 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": "2022-11-14T23:12:35.004Z",
      "apply_url": "https://jobs.lever.co/veeva/d42a14b0-3ca4-4086-83f3-57450758aa5d",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal Business Consultant - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Principal Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, and become a thought leader for the industry. The Role As a Principal Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "bonus_offered": {
          "field": "bonus_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "bonus_offered"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        }
      },
      "seniority": "principal",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 10,
      "years_experience_max": 12,
      "role_function": "customer_success",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.4939167036a424bed3",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "eee66796f8b2a102655ef4dc19068f14",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description matched \"together\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Principal Business Consultant - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Principal Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, and become a thought leader for the industry. The Role As a Principal Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving",
          "matched_input": "together",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:eee66796f8b2a102655ef4dc19068f14:description:together",
          "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.a740fb1cd6a7d18a94",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "eee66796f8b2a102655ef4dc19068f14",
          "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": "Principal Business Consultant - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Principal Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, and become a thought leader for the industry. The Role As a Principal Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:eee66796f8b2a102655ef4dc19068f14: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.727efb74d413ab1cd1",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "eee66796f8b2a102655ef4dc19068f14",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description contains \"together\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Principal Business Consultant - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Principal Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, and become a thought leader for the industry. The Role As a Principal Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving",
          "matched_input": "together",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.81073b096b11ab1c3e",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "eee66796f8b2a102655ef4dc19068f14",
          "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": "Principal Business Consultant - Life Sciences R&D Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Principal Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. R&D is a broad area that includes several distinct practices: Clinical Operations, Clinical Data Management, Regulatory, and Pharmacovigilance. You will focus in one of these practices based on your background, interests, and needs of the business. You will build credibility, depth, and relationships in that practice, and become a thought leader for the industry. The Role As a Principal Consultant in R&D, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": null,
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/d42a14b0-3ca4-4086-83f3-57450758aa5d",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/d42a14b0-3ca4-4086-83f3-57450758aa5d",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/d42a14b0-3ca4-4086-83f3-57450758aa5d",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/d42a14b0-3ca4-4086-83f3-57450758aa5d",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/d42a14b0-3ca4-4086-83f3-57450758aa5d",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/d42a14b0-3ca4-4086-83f3-57450758aa5d",
          "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": "76434cf0f00c22cf22a8cca1a556711f",
      "title": "Language Alignment & Resource Partner (Portuguese) - Freelance AI Trainer Project",
      "employer_name": "Agency",
      "employer_slug": "agency",
      "location_text": "Portugal",
      "country": "PT",
      "employment_type": "contract",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": 65,
      "salary_max": 65,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "hour",
      "base_salary_min": 65,
      "base_salary_max": 65,
      "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",
        "sequoia"
      ],
      "posted_at": "2026-06-07T17:58:24.000Z",
      "apply_url": "https://job-boards.eu.greenhouse.io/agency/jobs/4867005101",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Language Alignment & Resource Partner (Portuguese) - Freelance AI Trainer Project Portugal Project Overview We are sourcing independent Language Alignment & Resource Partners (LARPs) to provide native-level Portuguese language vetting and QA for a specialized AI data project. As AI systems strive to reflect real-world usage and deliver human-like communication, their accuracy depends entirely on rigorous linguistic and cultural consultation. The objective of this project is to evaluate, annotate, and validate data to ensure high-quality outputs that are fully natural, polished, and free from bias. Project Deliverables & Scope Operate autonomously to provide linguistic QA and develop alignment resources. Expected deliverables include: Data Annotation & Review: Reviewing, annotating, and testing AI outputs for grammatical accuracy, naturalness, and strict cultural context. Quality Assurance & Vetting: Acting as a primary quality check during production to proactively identify and correct subtle cultural errors or awkward phrasing in the target language. Resource Generation: Analyzing task quality trends and autonomously developing educational resources and feedback documentation to increase alignment between AI task outputs and campaign expectations. Production & Vetting Support: Providing native-level language vetting during project scaling and offering specialized linguistic consultation throughout the production phase. Required Expertise To successfully fulfill the deliverables of this project, Contractors must possess a meticulous eye for language and cultural nuance. Core skillset includes: Demonstrable work or educational experience in linguistics, education, or other fields requiring high attention to linguistic detail. Prior, tangible experience working in human data evaluation or annotation. Verified Portuguese language proficiency of C1 or C2",
      "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"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "contractor_type": {
          "field": "contractor_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "contractor_type"
        },
        "employment_type": {
          "field": "employment_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "employment_type"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "teaching_education",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Professional Services",
      "employer_industry_source": "source_sector",
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.2049649b010a4cbdb7",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "76434cf0f00c22cf22a8cca1a556711f",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Language Alignment & Resource Partner (Portuguese) - Freelance AI Trainer Project",
          "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.0ccfb79af6e9190721",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "76434cf0f00c22cf22a8cca1a556711f",
          "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": "teaching_education",
          "matched_input": "together ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:76434cf0f00c22cf22a8cca1a556711f:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/agency/jobs/4867005101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/agency/jobs/4867005101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/agency/jobs/4867005101",
          "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://job-boards.eu.greenhouse.io/agency/jobs/4867005101",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.eu.greenhouse.io/agency/jobs/4867005101",
          "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": "f68b3b5026e1ce0132145494994c1f84",
      "title": "Engagement Manager - Global Content",
      "employer_name": "Veeva Systems",
      "employer_slug": "veeva-systems",
      "location_text": "Massachusetts - Boston",
      "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": 85000,
      "salary_max": 210000,
      "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": 85000,
      "base_salary_max": 210000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-10-20T20:24:19.312Z",
      "apply_url": "https://jobs.lever.co/veeva/a2ca7141-c2ba-47c9-b66c-73f426ce8526",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Engagement Manager - Global Content Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As an Engagement Manager in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. You will have the opportunity to shape new ways of working in the end-to-end content operating model - from incorporating AI into a tier-based MLR process, to refining content creation strategy through Claims and Modular Content. These processes and tools help customers get personalized, impactful content to market faster, allowing them to quickly communicate important information to HCPs and patients. The Role As an Engagement Manager in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data,",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "bonus_offered": {
          "field": "bonus_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "bonus_offered"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "assessment_required": {
          "field": "assessment_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "assessment_required"
        },
        "cover_letter_required": {
          "field": "cover_letter_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "cover_letter_required"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 8,
      "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": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.84e4a2f191573de7f8",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "f68b3b5026e1ce0132145494994c1f84",
          "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": "Engagement Manager - Global Content Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As an Engagement Manager in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. You will have the opportunity to shape new ways of working in the end-to-end content operating model - from incorporating AI into a tier-based MLR process, to refining content creation strategy through Claims and Modular Content. These processes and tools help customers get personalized, impactful content to market faster, allowing them to quickly communicate important information to HCPs and patients. The Role As an Engagement Manager in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data,",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:f68b3b5026e1ce0132145494994c1f84: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.b4fe4815ec95517832",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "f68b3b5026e1ce0132145494994c1f84",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description matched \"together\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Engagement Manager - Global Content Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As an Engagement Manager in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. You will have the opportunity to shape new ways of working in the end-to-end content operating model - from incorporating AI into a tier-based MLR process, to refining content creation strategy through Claims and Modular Content. These processes and tools help customers get personalized, impactful content to market faster, allowing them to quickly communicate important information to HCPs and patients. The Role As an Engagement Manager in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data,",
          "matched_input": "together",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:f68b3b5026e1ce0132145494994c1f84:description:together",
          "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.777ae92efde23368b1",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "f68b3b5026e1ce0132145494994c1f84",
          "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": "Engagement Manager - Global Content Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As an Engagement Manager in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. You will have the opportunity to shape new ways of working in the end-to-end content operating model - from incorporating AI into a tier-based MLR process, to refining content creation strategy through Claims and Modular Content. These processes and tools help customers get personalized, impactful content to market faster, allowing them to quickly communicate important information to HCPs and patients. The Role As an Engagement Manager in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data,",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8f74aaa8775bc97c10",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "f68b3b5026e1ce0132145494994c1f84",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description contains \"together\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Engagement Manager - Global Content Massachusetts - Boston Veeva is building the industry cloud for Life Sciences through software, data, AI, and Business Consulting working together. Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we're not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As an Engagement Manager in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. You will have the opportunity to shape new ways of working in the end-to-end content operating model - from incorporating AI into a tier-based MLR process, to refining content creation strategy through Claims and Modular Content. These processes and tools help customers get personalized, impactful content to market faster, allowing them to quickly communicate important information to HCPs and patients. The Role As an Engagement Manager in our Global Content Practice, you will help customers bring treatments to patients faster by transforming how they work with Technology, Data,",
          "matched_input": "together",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": null,
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/a2ca7141-c2ba-47c9-b66c-73f426ce8526",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/a2ca7141-c2ba-47c9-b66c-73f426ce8526",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/a2ca7141-c2ba-47c9-b66c-73f426ce8526",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1393052/000139305226000014/veev-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/a2ca7141-c2ba-47c9-b66c-73f426ce8526",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/a2ca7141-c2ba-47c9-b66c-73f426ce8526",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.lever.co/veeva/a2ca7141-c2ba-47c9-b66c-73f426ce8526",
          "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": "e5bb6cb2c4d5799fe65b3e71d15966ce",
      "title": "Engineering Internship, Enrichment and Curation",
      "employer_name": "Wayve",
      "employer_slug": "wayve",
      "location_text": "Sunnyvale",
      "country": "unknown",
      "employment_type": "internship",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": 99.76,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "hour",
      "base_salary_min": 99.76,
      "base_salary_max": null,
      "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": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-06-06T00:28:30.000Z",
      "apply_url": "https://wayve.firststage.co/jobs?gh_jid=8382427002",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Engineering Internship, Enrichment and Curation Sunnyvale About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! About the Role Our team is seeking a talented Engineering Intern to join us for 3-6 months and propel our ambitious research in embodied foundation models forward. We're a team of Applied Scientists, Machine Learning Engineers, and Software Engineers who strive to expand the horizons of embodied AI beyond simply reacting to perceptual inputs toward reasoning over them to handle even the most complex and rare situations. Our projects encompass some of the hardest problems in AI and require leveraging the latest research, state-of-the-art models, rigorous engineering, and cross-functional collaboration. In this role, you might: - Work on foundation",
      "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_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "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"
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        }
      },
      "seniority": "entry",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 0,
      "years_experience_max": 4,
      "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.9cd474b4db3b5be7d5",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "e5bb6cb2c4d5799fe65b3e71d15966ce",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Engineering Internship, Enrichment and Curation Sunnyvale About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! About the Role Our team is seeking a talented Engineering Intern to join us for 3-6 months and propel our ambitious research in embodied foundation models forward. We're a team of Applied Scientists, Machine Learning Engineers, and Software Engineers who strive to expand the horizons of embodied AI beyond simply reacting to perceptual inputs toward reasoning over them to handle even the most complex and rare situations. Our projects encompass some of the hardest problems in AI and require leveraging the latest research, state-of-the-art models, rigorous engineering, and cross-functional collaboration. In this role, you might: - Work on foundation",
          "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.10d7fb18f9b623bfac",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "e5bb6cb2c4d5799fe65b3e71d15966ce",
          "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": "together ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:e5bb6cb2c4d5799fe65b3e71d15966ce: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://wayve.firststage.co/jobs?gh_jid=8382427002",
          "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://wayve.firststage.co/jobs?gh_jid=8382427002",
          "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://wayve.firststage.co/jobs?gh_jid=8382427002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://wayve.firststage.co/jobs?gh_jid=8382427002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "f79c47797319e3743ea6e51ed23b4ff1",
      "title": "Founding Product Designer",
      "employer_name": "Conductor",
      "employer_slug": "conductor",
      "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": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/conductor/cde83c73-5eab-46e8-acc9-fc339aa89e17",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Founding Product Designer San Francisco | OnSite ABOUT CONDUCTOR We're a small, in-person team in San Francisco building the first AI orchestrator. Conductor https://conductor.build/ lets you run a team of coding agents on your Mac. We launched a few months ago, and are now used by engineers at leading companies like Linear, Vercel, Notion, Stripe, and Y Combinator. One user told me: A huge amount of my work now is wildly parallelized, in a way I've never had to worry about before. It's been a while since a dev tool has changed my life [like Conductor did]. We're on a mission to build the human interface to AI organizations. Our team is small but growing. Come join the co-founders and jump into an exciting space where you can do the best work of your life. No AI experience needed, just some enthusiasm for the awesome alien power of LLMs. ABOUT US - Charlie https://x.com/charliebholtz and Jackson https://x.com/jacksondecampos met eight years ago when we played ultimate frisbee together at Brown. Last year, we quit our jobs at Point72 and Netflix to start Conductor together. - Our team is small, so there is a lot of room to grow! - We ship unusually fast - We're backed by some of the best investors in the valley. We have plenty of money to keep the company running through rough patches. - We work in person in our beautiful San Francisco office ABOUT YOU We're looking for a founding product designer who can help",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "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": "design",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "early",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.9d648970799167faa7",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "f79c47797319e3743ea6e51ed23b4ff1",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Founding Product Designer San Francisco | OnSite ABOUT CONDUCTOR We're a small, in-person team in San Francisco building the first AI orchestrator. Conductor https://conductor.build/ lets you run a team of coding agents on your Mac. We launched a few months ago, and are now used by engineers at leading companies like Linear, Vercel, Notion, Stripe, and Y Combinator. One user told me: A huge amount of my work now is wildly parallelized, in a way I've never had to worry about before. It's been a while since a dev tool has changed my life [like Conductor did]. We're on a mission to build the human interface to AI organizations. Our team is small but growing. Come join the co-founders and jump into an exciting space where you can do the best work of your life. No AI experience needed, just some enthusiasm for the awesome alien power of LLMs. ABOUT US - Charlie https://x.com/charliebholtz and Jackson https://x.com/jacksondecampos met eight years ago when we played ultimate frisbee together at Brown. Last year, we quit our jobs at Point72 and Netflix to start Conductor together. - Our team is small, so there is a lot of room to grow! - We ship unusually fast - We're backed by some of the best investors in the valley. We have plenty of money to keep the company running through rough patches. - We work in person in our beautiful San Francisco office ABOUT YOU We're looking for a founding product designer who can help",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:f79c47797319e3743ea6e51ed23b4ff1: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.a87d92e9b44f9cf1cf",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "f79c47797319e3743ea6e51ed23b4ff1",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description matched \"together\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Founding Product Designer San Francisco | OnSite ABOUT CONDUCTOR We're a small, in-person team in San Francisco building the first AI orchestrator. Conductor https://conductor.build/ lets you run a team of coding agents on your Mac. We launched a few months ago, and are now used by engineers at leading companies like Linear, Vercel, Notion, Stripe, and Y Combinator. One user told me: A huge amount of my work now is wildly parallelized, in a way I've never had to worry about before. It's been a while since a dev tool has changed my life [like Conductor did]. We're on a mission to build the human interface to AI organizations. Our team is small but growing. Come join the co-founders and jump into an exciting space where you can do the best work of your life. No AI experience needed, just some enthusiasm for the awesome alien power of LLMs. ABOUT US - Charlie https://x.com/charliebholtz and Jackson https://x.com/jacksondecampos met eight years ago when we played ultimate frisbee together at Brown. Last year, we quit our jobs at Point72 and Netflix to start Conductor together. - Our team is small, so there is a lot of room to grow! - We ship unusually fast - We're backed by some of the best investors in the valley. We have plenty of money to keep the company running through rough patches. - We work in person in our beautiful San Francisco office ABOUT YOU We're looking for a founding product designer who can help",
          "matched_input": "together",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0:f79c47797319e3743ea6e51ed23b4ff1:description:together",
          "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.ade665e41ec82263e4",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "f79c47797319e3743ea6e51ed23b4ff1",
          "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": "Founding Product Designer San Francisco | OnSite ABOUT CONDUCTOR We're a small, in-person team in San Francisco building the first AI orchestrator. Conductor https://conductor.build/ lets you run a team of coding agents on your Mac. We launched a few months ago, and are now used by engineers at leading companies like Linear, Vercel, Notion, Stripe, and Y Combinator. One user told me: A huge amount of my work now is wildly parallelized, in a way I've never had to worry about before. It's been a while since a dev tool has changed my life [like Conductor did]. We're on a mission to build the human interface to AI organizations. Our team is small but growing. Come join the co-founders and jump into an exciting space where you can do the best work of your life. No AI experience needed, just some enthusiasm for the awesome alien power of LLMs. ABOUT US - Charlie https://x.com/charliebholtz and Jackson https://x.com/jacksondecampos met eight years ago when we played ultimate frisbee together at Brown. Last year, we quit our jobs at Point72 and Netflix to start Conductor together. - Our team is small, so there is a lot of room to grow! - We ship unusually fast - We're backed by some of the best investors in the valley. We have plenty of money to keep the company running through rough patches. - We work in person in our beautiful San Francisco office ABOUT YOU We're looking for a founding product designer who can help",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b12f30a45a752f2e65",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "job_id": "f79c47797319e3743ea6e51ed23b4ff1",
          "signal_type": "query_match",
          "display_text": "Description: \"together\"",
          "tooltip": "Description contains \"together\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Founding Product Designer San Francisco | OnSite ABOUT CONDUCTOR We're a small, in-person team in San Francisco building the first AI orchestrator. Conductor https://conductor.build/ lets you run a team of coding agents on your Mac. We launched a few months ago, and are now used by engineers at leading companies like Linear, Vercel, Notion, Stripe, and Y Combinator. One user told me: A huge amount of my work now is wildly parallelized, in a way I've never had to worry about before. It's been a while since a dev tool has changed my life [like Conductor did]. We're on a mission to build the human interface to AI organizations. Our team is small but growing. Come join the co-founders and jump into an exciting space where you can do the best work of your life. No AI experience needed, just some enthusiasm for the awesome alien power of LLMs. ABOUT US - Charlie https://x.com/charliebholtz and Jackson https://x.com/jacksondecampos met eight years ago when we played ultimate frisbee together at Brown. Last year, we quit our jobs at Point72 and Netflix to start Conductor together. - Our team is small, so there is a lot of room to grow! - We ship unusually fast - We're backed by some of the best investors in the valley. We have plenty of money to keep the company running through rough patches. - We work in person in our beautiful San Francisco office ABOUT YOU We're looking for a founding product designer who can help",
          "matched_input": "together",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": null,
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/conductor/cde83c73-5eab-46e8-acc9-fc339aa89e17",
          "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"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/conductor/cde83c73-5eab-46e8-acc9-fc339aa89e17",
          "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/conductor/cde83c73-5eab-46e8-acc9-fc339aa89e17",
          "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/conductor/cde83c73-5eab-46e8-acc9-fc339aa89e17",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "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.query.title.f65b59a3f13b98c8e8",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "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.4517aff0ce91d47fef",
          "query_id": "gq_8610ac8c116a4a36a7a0",
          "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": "together ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8610ac8c116a4a36a7a0: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
        }
      }
    }
  ],
  "total": 5613,
  "page": 33,
  "per_page": 24,
  "applied_filters": {
    "q": "Together 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": [
      "together",
      "ai"
    ],
    "active_filter_keys": [],
    "visible_signal_limit": 3,
    "visible_trust_limit": 2
  },
  "event_context": {
    "query_context": {
      "query_id": "bccd23a0-be39-4d5b-9c26-d824ebaefdd5",
      "issued_at": "2026-08-28T18:58:51.522Z",
      "route": "/jobs",
      "page": 33,
      "per_page": 24,
      "total_results": 5613,
      "sort": "relevance",
      "ranking_policy": "hybrid_rrf_rerank",
      "ranking_policy_version": "inv382.jobs.search.v2",
      "query_hash": "hmac_sha256:SocUjK-hMES8JTjR3Db3kw2cd-QIahD1tJhmKx6BPOY",
      "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": "07e9a02a2d9f4395e4d980cb6d52cbf1",
          "position": 769,
          "page_position": 1,
          "retrieval_features": {
            "bm25_score": -7.033475399017334,
            "vector_score": 0,
            "rrf_score": 0.002197802197802198,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 81,
            "quality_score": 45
          }
        },
        {
          "result_id": "39513593d3b59b73791b4533c887b99b",
          "position": 770,
          "page_position": 2,
          "retrieval_features": {
            "bm25_score": -7.033475399017334,
            "vector_score": 0,
            "rrf_score": 0.0021929824561403508,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 1863,
            "quality_score": 55
          }
        },
        {
          "result_id": "4ebd4bce4ea798580baea1213301c129",
          "position": 771,
          "page_position": 3,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.30774579598034524,
            "rrf_score": 0.0021929824561403508,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 183,
            "quality_score": 45
          }
        },
        {
          "result_id": "4839fb5261914906a8859ca7383c6822",
          "position": 772,
          "page_position": 4,
          "retrieval_features": {
            "bm25_score": -7.033475399017334,
            "vector_score": 0,
            "rrf_score": 0.002188183807439825,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 1382,
            "quality_score": 55
          }
        },
        {
          "result_id": "37d2a043e80db301d2cb14ea799796aa",
          "position": 773,
          "page_position": 5,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.3077681064605713,
            "rrf_score": 0.002188183807439825,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 91,
            "quality_score": 35
          }
        },
        {
          "result_id": "2a4b1a641c1b69a62c9fd0e693959830",
          "position": 774,
          "page_position": 6,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.30777406692504883,
            "rrf_score": 0.002183406113537118,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 87,
            "quality_score": 35
          }
        },
        {
          "result_id": "4a4547684cf9c4185f8cd0f6acb1de69",
          "position": 775,
          "page_position": 7,
          "retrieval_features": {
            "bm25_score": -7.033475399017334,
            "vector_score": 0,
            "rrf_score": 0.002183406113537118,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": false,
            "salary_disclosed": true,
            "posted_age_days": 91,
            "quality_score": 55
          }
        },
        {
          "result_id": "99ee2b8125d69ab55c1cd67510b5267e",
          "position": 776,
          "page_position": 8,
          "retrieval_features": {
            "bm25_score": -7.033475399017334,
            "vector_score": 0,
            "rrf_score": 0.002178649237472767,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 799,
            "quality_score": 55
          }
        },
        {
          "result_id": "6cd99b895ce94c01294ef3d11d579c1f",
          "position": 777,
          "page_position": 9,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.30777696692278855,
            "rrf_score": 0.002178649237472767,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": true,
            "posted_age_days": 77,
            "quality_score": 55
          }
        },
        {
          "result_id": "9e15c951b60dbdc17aa7899f4dc8500c",
          "position": 778,
          "page_position": 10,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.30778074264526367,
            "rrf_score": 0.002173913043478261,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 94,
            "quality_score": 35
          }
        },
        {
          "result_id": "a0d893fa021846a0ba9df600044e3901",
          "position": 779,
          "page_position": 11,
          "retrieval_features": {
            "bm25_score": -7.033475399017334,
            "vector_score": 0,
            "rrf_score": 0.002173913043478261,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 1039,
            "quality_score": 45
          }
        },
        {
          "result_id": "b2d595d95ba49f5c67e89f7346c3ed7a",
          "position": 780,
          "page_position": 12,
          "retrieval_features": {
            "bm25_score": -7.033475399017334,
            "vector_score": 0,
            "rrf_score": 0.0021691973969631237,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 311,
            "quality_score": 55
          }
        },
        {
          "result_id": "15d11b00b6c00a45752417e19d50b40b",
          "position": 781,
          "page_position": 13,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.30781984329223633,
            "rrf_score": 0.0021691973969631237,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 81,
            "quality_score": 45
          }
        },
        {
          "result_id": "d47ecce656d59a437be788aa6bbb3cc0",
          "position": 782,
          "page_position": 14,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.3078235387802124,
            "rrf_score": 0.0021645021645021645,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 93,
            "quality_score": 35
          }
        },
        {
          "result_id": "b30ef34a0ec1ec99524a33b76022dad3",
          "position": 783,
          "page_position": 15,
          "retrieval_features": {
            "bm25_score": -7.033475399017334,
            "vector_score": 0,
            "rrf_score": 0.0021645021645021645,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": false,
            "salary_disclosed": true,
            "posted_age_days": 1179,
            "quality_score": 55
          }
        },
        {
          "result_id": "c702f242cf0cf2e5fa5f414e54902110",
          "position": 784,
          "page_position": 16,
          "retrieval_features": {
            "bm25_score": -7.033475399017334,
            "vector_score": 0,
            "rrf_score": 0.0021598272138228943,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 105,
            "quality_score": 55
          }
        },
        {
          "result_id": "142bad8901dad93f53f7b49d70df5a46",
          "position": 785,
          "page_position": 17,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.3078364133834839,
            "rrf_score": 0.0021598272138228943,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 79,
            "quality_score": 35
          }
        },
        {
          "result_id": "e871eeff989ae7f2c6aacf30da427166",
          "position": 786,
          "page_position": 18,
          "retrieval_features": {
            "bm25_score": -7.033475399017334,
            "vector_score": 0,
            "rrf_score": 0.0021551724137931034,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 1344,
            "quality_score": 55
          }
        },
        {
          "result_id": "eee66796f8b2a102655ef4dc19068f14",
          "position": 787,
          "page_position": 19,
          "retrieval_features": {
            "bm25_score": -7.033475399017334,
            "vector_score": 0,
            "rrf_score": 0.002150537634408602,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 1382,
            "quality_score": 55
          }
        },
        {
          "result_id": "76434cf0f00c22cf22a8cca1a556711f",
          "position": 788,
          "page_position": 20,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.30789798498153687,
            "rrf_score": 0.002150537634408602,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": true,
            "posted_age_days": 82,
            "quality_score": 55
          }
        },
        {
          "result_id": "f68b3b5026e1ce0132145494994c1f84",
          "position": 789,
          "page_position": 21,
          "retrieval_features": {
            "bm25_score": -7.033475399017334,
            "vector_score": 0,
            "rrf_score": 0.002145922746781116,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 311,
            "quality_score": 55
          }
        },
        {
          "result_id": "e5bb6cb2c4d5799fe65b3e71d15966ce",
          "position": 790,
          "page_position": 22,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.307908833026886,
            "rrf_score": 0.002145922746781116,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": true,
            "posted_age_days": 83,
            "quality_score": 45
          }
        },
        {
          "result_id": "f79c47797319e3743ea6e51ed23b4ff1",
          "position": 791,
          "page_position": 23,
          "retrieval_features": {
            "bm25_score": -7.033475399017334,
            "vector_score": 0,
            "rrf_score": 0.0021413276231263384,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 79,
            "quality_score": 45
          }
        },
        {
          "result_id": "a09fcb803a97a42e6a0a4b9c0277849b",
          "position": 792,
          "page_position": 24,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.3079270124435425,
            "rrf_score": 0.0021413276231263384,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 108,
            "quality_score": 35
          }
        }
      ]
    },
    "context_signature": "pN1x_dDTmPRRLfKjunVK4TNCOWFzEUXVnjlHCU4n5OY",
    "event_token": "pN1x_dDTmPRRLfKjunVK4TNCOWFzEUXVnjlHCU4n5OY"
  }
}