{
  "results": [
    {
      "id": "b2c98b7b4d07637fc23d14c197927492",
      "title": "Enterprise Account Executive, Life Sciences",
      "employer_name": "Domino Data Lab",
      "employer_slug": "domino-data-lab",
      "location_text": "Remote US",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": 300000,
      "salary_max": 350000,
      "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": 350000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-04-14T16:12:59.000Z",
      "apply_url": "https://app.careerpuck.com/job-board/domino-data-lab/job/7815069?gh_jid=7815069",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Enterprise Account Executive, Life Sciences Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The mission of the Life Sciences sales team is to position Domino as the unifying platform for Data Science & Scientific Computing across the enterprise and to support Domino's Life Sciences vertical expansion. Our main focus will be to meet senior leaders, uncover opportunities and execute a successful enterprise sales cycle. You will be helping Domino execute enterprise-level selling and engage more mid-senior stakeholders across R&D, Business & IT. What",
      "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": 52,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "sales",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2a7e0addf74564fa88",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b2c98b7b4d07637fc23d14c197927492",
          "signal_type": "query_match",
          "display_text": "Description: \"domino\"",
          "tooltip": "Description matched \"domino\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Enterprise Account Executive, Life Sciences Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The mission of the Life Sciences sales team is to position Domino as the unifying platform for Data Science & Scientific Computing across the enterprise and to support Domino's Life Sciences vertical expansion. Our main focus will be to meet senior leaders, uncover opportunities and execute a successful enterprise sales cycle. You will be helping Domino execute enterprise-level selling and engage more mid-senior stakeholders across R&D, Business & IT. What",
          "matched_input": "domino",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:b2c98b7b4d07637fc23d14c197927492:description:domino",
          "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.43f70908203abfd1f9",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b2c98b7b4d07637fc23d14c197927492",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Enterprise Account Executive, Life Sciences Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The mission of the Life Sciences sales team is to position Domino as the unifying platform for Data Science & Scientific Computing across the enterprise and to support Domino's Life Sciences vertical expansion. Our main focus will be to meet senior leaders, uncover opportunities and execute a successful enterprise sales cycle. You will be helping Domino execute enterprise-level selling and engage more mid-senior stakeholders across R&D, Business & IT. What",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:b2c98b7b4d07637fc23d14c197927492:description:lab",
          "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.769917b5d904c9c03a",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b2c98b7b4d07637fc23d14c197927492",
          "signal_type": "query_match",
          "display_text": "Description: \"data\"",
          "tooltip": "Description matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Enterprise Account Executive, Life Sciences Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The mission of the Life Sciences sales team is to position Domino as the unifying platform for Data Science & Scientific Computing across the enterprise and to support Domino's Life Sciences vertical expansion. Our main focus will be to meet senior leaders, uncover opportunities and execute a successful enterprise sales cycle. You will be helping Domino execute enterprise-level selling and engage more mid-senior stakeholders across R&D, Business & IT. What",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:b2c98b7b4d07637fc23d14c197927492:description:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.84d53275ebc6dee2de",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b2c98b7b4d07637fc23d14c197927492",
          "signal_type": "query_match",
          "display_text": "Employer: \"lab\"",
          "tooltip": "Employer matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:b2c98b7b4d07637fc23d14c197927492:employer:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.9b7c9e28ba42e6ed28",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b2c98b7b4d07637fc23d14c197927492",
          "signal_type": "query_match",
          "display_text": "Employer: \"domino\"",
          "tooltip": "Employer matched \"domino\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:b2c98b7b4d07637fc23d14c197927492:employer:domino",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.bab602a26b871f9fd2",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b2c98b7b4d07637fc23d14c197927492",
          "signal_type": "query_match",
          "display_text": "Employer: \"data\"",
          "tooltip": "Employer matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:b2c98b7b4d07637fc23d14c197927492:employer:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.673fccc2a9daf274d5",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b2c98b7b4d07637fc23d14c197927492",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:f85bbf9289bcbd6a27d1b4c3",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3acea4a2166d379d85",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b2c98b7b4d07637fc23d14c197927492",
          "signal_type": "query_match",
          "display_text": "Employer: \"domino\"",
          "tooltip": "Employer contains \"domino\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.803b65ad2a24d8e452",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b2c98b7b4d07637fc23d14c197927492",
          "signal_type": "query_match",
          "display_text": "Employer: \"lab\"",
          "tooltip": "Employer contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "lab",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fbd900fe550a135634",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b2c98b7b4d07637fc23d14c197927492",
          "signal_type": "query_match",
          "display_text": "Employer: \"data\"",
          "tooltip": "Employer contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "data",
          "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
          }
        }
      ]
    },
    {
      "id": "a1fa31496495aa64ec4bf4953cb80bee",
      "title": "Enterprise Customer Success Manager",
      "employer_name": "Domino Data Lab",
      "employer_slug": "domino-data-lab",
      "location_text": "Remote US (East Coast)",
      "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": 200000,
      "salary_max": 230000,
      "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": 200000,
      "base_salary_max": 230000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-10-30T13:09:02.000Z",
      "apply_url": "https://app.careerpuck.com/job-board/domino-data-lab/job/7365539?gh_jid=7365539",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Enterprise Customer Success Manager Remote US (East Coast) Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The Customer Experience organization plays a key role in Domino's continued growth as a startup and ensuring we help our customers achieve their data science goals. As a Customer Success Manager (CSM) at Domino, you will be responsible for maintaining and growing relationships with our company's clients. You will serve as the main point of contact for clients, ensuring their needs are met and their expectations are exceeded. Your",
      "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": 52,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "customer_success",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.872f2ee5b747783aa4",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a1fa31496495aa64ec4bf4953cb80bee",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Enterprise Customer Success Manager Remote US (East Coast) Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The Customer Experience organization plays a key role in Domino's continued growth as a startup and ensuring we help our customers achieve their data science goals. As a Customer Success Manager (CSM) at Domino, you will be responsible for maintaining and growing relationships with our company's clients. You will serve as the main point of contact for clients, ensuring their needs are met and their expectations are exceeded. Your",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:a1fa31496495aa64ec4bf4953cb80bee:description:lab",
          "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.e4172852ca7e1198ab",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a1fa31496495aa64ec4bf4953cb80bee",
          "signal_type": "query_match",
          "display_text": "Description: \"domino\"",
          "tooltip": "Description matched \"domino\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Enterprise Customer Success Manager Remote US (East Coast) Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The Customer Experience organization plays a key role in Domino's continued growth as a startup and ensuring we help our customers achieve their data science goals. As a Customer Success Manager (CSM) at Domino, you will be responsible for maintaining and growing relationships with our company's clients. You will serve as the main point of contact for clients, ensuring their needs are met and their expectations are exceeded. Your",
          "matched_input": "domino",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:a1fa31496495aa64ec4bf4953cb80bee:description:domino",
          "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.f464ad394defb5d7c6",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a1fa31496495aa64ec4bf4953cb80bee",
          "signal_type": "query_match",
          "display_text": "Description: \"data\"",
          "tooltip": "Description matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Enterprise Customer Success Manager Remote US (East Coast) Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The Customer Experience organization plays a key role in Domino's continued growth as a startup and ensuring we help our customers achieve their data science goals. As a Customer Success Manager (CSM) at Domino, you will be responsible for maintaining and growing relationships with our company's clients. You will serve as the main point of contact for clients, ensuring their needs are met and their expectations are exceeded. Your",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:a1fa31496495aa64ec4bf4953cb80bee:description:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0da516c7169da023f2",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a1fa31496495aa64ec4bf4953cb80bee",
          "signal_type": "query_match",
          "display_text": "Employer: \"domino\"",
          "tooltip": "Employer matched \"domino\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:a1fa31496495aa64ec4bf4953cb80bee:employer:domino",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3b5695a1d11873dda4",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a1fa31496495aa64ec4bf4953cb80bee",
          "signal_type": "query_match",
          "display_text": "Employer: \"lab\"",
          "tooltip": "Employer matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:a1fa31496495aa64ec4bf4953cb80bee:employer:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5aa63324bf9be0f03a",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a1fa31496495aa64ec4bf4953cb80bee",
          "signal_type": "query_match",
          "display_text": "Employer: \"data\"",
          "tooltip": "Employer matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:a1fa31496495aa64ec4bf4953cb80bee:employer:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.f17ccc0e994ec58508",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a1fa31496495aa64ec4bf4953cb80bee",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:708f16d4126af67a583fecaa",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2750e8d0f4d13dbb92",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a1fa31496495aa64ec4bf4953cb80bee",
          "signal_type": "query_match",
          "display_text": "Employer: \"lab\"",
          "tooltip": "Employer contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "lab",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.79e16d56af417d40b2",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a1fa31496495aa64ec4bf4953cb80bee",
          "signal_type": "query_match",
          "display_text": "Employer: \"domino\"",
          "tooltip": "Employer contains \"domino\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.bb21677015aa05e51d",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a1fa31496495aa64ec4bf4953cb80bee",
          "signal_type": "query_match",
          "display_text": "Employer: \"data\"",
          "tooltip": "Employer contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "data",
          "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
          }
        }
      ]
    },
    {
      "id": "e37c12f950367c406994a4e7caada4da",
      "title": "Strategic Sales Development Representative",
      "employer_name": "Domino Data Lab",
      "employer_slug": "domino-data-lab",
      "location_text": "New York City, New York",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 100000,
      "salary_max": 120000,
      "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": 100000,
      "base_salary_max": 120000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-04-29T15:39:14.000Z",
      "apply_url": "https://app.careerpuck.com/job-board/domino-data-lab/job/7866639?gh_jid=7866639",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Strategic Sales Development Representative New York City, New York Who we are At Domino Data Lab, we have an ambitious vision for data science. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy predictive models. Our customers are the most sophisticated analytical organizations in the world, including companies like Bristol Myers Squibb, Allstate, Bayer, and Red Hat. Backed by Sequoia Capital, Coatue Management, Bloomberg Beta, and Zetta Venture Partners, we are at the epicenter of the data science revolution, helping companies develop the next breakthrough in medicine, build better cars, or recommend the best song play next. What we are building The Sales Development team at Domino is focused on supporting our org though both opportunity as well as talent pipeline. This is a pivotal role working between the territory sales teams, marketing, ops, and even product, to strategically identify and engage with our next customers. A successful Sales Development Rep (SDR) will be able to source outbound pipeline as well as qualify inbound leads within Enterprise companies. Beyond which, the ideal SDR will be able to positively influence their territory and the entirety of the Go To Market (GTM) team beyond their ability to source leads, while growing and eventually stepping up into other key roles on our team. What your impact will be - Through thoughtful research and prospecting techniques, you will team with your AEs to gain meaningful conversations within our targeted accounts - Our SDRs are expected to be our feedback loop",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "sales",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.049b0d43c51aabee18",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "e37c12f950367c406994a4e7caada4da",
          "signal_type": "query_match",
          "display_text": "Description: \"domino\"",
          "tooltip": "Description matched \"domino\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Strategic Sales Development Representative New York City, New York Who we are At Domino Data Lab, we have an ambitious vision for data science. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy predictive models. Our customers are the most sophisticated analytical organizations in the world, including companies like Bristol Myers Squibb, Allstate, Bayer, and Red Hat. Backed by Sequoia Capital, Coatue Management, Bloomberg Beta, and Zetta Venture Partners, we are at the epicenter of the data science revolution, helping companies develop the next breakthrough in medicine, build better cars, or recommend the best song play next. What we are building The Sales Development team at Domino is focused on supporting our org though both opportunity as well as talent pipeline. This is a pivotal role working between the territory sales teams, marketing, ops, and even product, to strategically identify and engage with our next customers. A successful Sales Development Rep (SDR) will be able to source outbound pipeline as well as qualify inbound leads within Enterprise companies. Beyond which, the ideal SDR will be able to positively influence their territory and the entirety of the Go To Market (GTM) team beyond their ability to source leads, while growing and eventually stepping up into other key roles on our team. What your impact will be - Through thoughtful research and prospecting techniques, you will team with your AEs to gain meaningful conversations within our targeted accounts - Our SDRs are expected to be our feedback loop",
          "matched_input": "domino",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:e37c12f950367c406994a4e7caada4da:description:domino",
          "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.05d2d07528cad526d5",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "e37c12f950367c406994a4e7caada4da",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Strategic Sales Development Representative New York City, New York Who we are At Domino Data Lab, we have an ambitious vision for data science. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy predictive models. Our customers are the most sophisticated analytical organizations in the world, including companies like Bristol Myers Squibb, Allstate, Bayer, and Red Hat. Backed by Sequoia Capital, Coatue Management, Bloomberg Beta, and Zetta Venture Partners, we are at the epicenter of the data science revolution, helping companies develop the next breakthrough in medicine, build better cars, or recommend the best song play next. What we are building The Sales Development team at Domino is focused on supporting our org though both opportunity as well as talent pipeline. This is a pivotal role working between the territory sales teams, marketing, ops, and even product, to strategically identify and engage with our next customers. A successful Sales Development Rep (SDR) will be able to source outbound pipeline as well as qualify inbound leads within Enterprise companies. Beyond which, the ideal SDR will be able to positively influence their territory and the entirety of the Go To Market (GTM) team beyond their ability to source leads, while growing and eventually stepping up into other key roles on our team. What your impact will be - Through thoughtful research and prospecting techniques, you will team with your AEs to gain meaningful conversations within our targeted accounts - Our SDRs are expected to be our feedback loop",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:e37c12f950367c406994a4e7caada4da:description:lab",
          "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.16e6617747bf36b283",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "e37c12f950367c406994a4e7caada4da",
          "signal_type": "query_match",
          "display_text": "Description: \"data\"",
          "tooltip": "Description matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Strategic Sales Development Representative New York City, New York Who we are At Domino Data Lab, we have an ambitious vision for data science. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy predictive models. Our customers are the most sophisticated analytical organizations in the world, including companies like Bristol Myers Squibb, Allstate, Bayer, and Red Hat. Backed by Sequoia Capital, Coatue Management, Bloomberg Beta, and Zetta Venture Partners, we are at the epicenter of the data science revolution, helping companies develop the next breakthrough in medicine, build better cars, or recommend the best song play next. What we are building The Sales Development team at Domino is focused on supporting our org though both opportunity as well as talent pipeline. This is a pivotal role working between the territory sales teams, marketing, ops, and even product, to strategically identify and engage with our next customers. A successful Sales Development Rep (SDR) will be able to source outbound pipeline as well as qualify inbound leads within Enterprise companies. Beyond which, the ideal SDR will be able to positively influence their territory and the entirety of the Go To Market (GTM) team beyond their ability to source leads, while growing and eventually stepping up into other key roles on our team. What your impact will be - Through thoughtful research and prospecting techniques, you will team with your AEs to gain meaningful conversations within our targeted accounts - Our SDRs are expected to be our feedback loop",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:e37c12f950367c406994a4e7caada4da:description:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a5f0599b2aa34e469e",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "e37c12f950367c406994a4e7caada4da",
          "signal_type": "query_match",
          "display_text": "Employer: \"data\"",
          "tooltip": "Employer matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:e37c12f950367c406994a4e7caada4da:employer:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ad0c44d5b203ebb02f",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "e37c12f950367c406994a4e7caada4da",
          "signal_type": "query_match",
          "display_text": "Employer: \"lab\"",
          "tooltip": "Employer matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:e37c12f950367c406994a4e7caada4da:employer:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ea8f13828c2ad44e60",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "e37c12f950367c406994a4e7caada4da",
          "signal_type": "query_match",
          "display_text": "Employer: \"domino\"",
          "tooltip": "Employer matched \"domino\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:e37c12f950367c406994a4e7caada4da:employer:domino",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.43fac817b9b8ab67d3",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "e37c12f950367c406994a4e7caada4da",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:bf67739e48397251ecf237a7",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b9347e55fb888de7c9",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "e37c12f950367c406994a4e7caada4da",
          "signal_type": "query_match",
          "display_text": "Employer: \"lab\"",
          "tooltip": "Employer contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "lab",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.bc493da404d94d7093",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "e37c12f950367c406994a4e7caada4da",
          "signal_type": "query_match",
          "display_text": "Employer: \"data\"",
          "tooltip": "Employer contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.dd3f3923cc4ca153f2",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "e37c12f950367c406994a4e7caada4da",
          "signal_type": "query_match",
          "display_text": "Employer: \"domino\"",
          "tooltip": "Employer contains \"domino\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino",
          "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
          }
        }
      ]
    },
    {
      "id": "9f000c8eeca8d8a16d8b3036b7622844",
      "title": "Experience Manager",
      "employer_name": "Domino Data Lab",
      "employer_slug": "domino-data-lab",
      "location_text": "Remote US",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": 90000,
      "salary_max": 110000,
      "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": 90000,
      "base_salary_max": 110000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T01:15:26.000Z",
      "apply_url": "https://app.careerpuck.com/job-board/domino-data-lab/job/7992578?gh_jid=7992578",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Experience Manager Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, NetApp and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The Experience team owns the moments that shape Domino's brand. Rev (the flagship event), vertical executive boards, executive activations at marquee global moments, GTM Kickoff, and the Mid-Year Business Review. The function is delivering. We're scaling it. We're hiring an Experience Manager to own programs across this portfolio. Externally, the work deepens executive relationships, accelerates pipeline, and expands strategic accounts. Internally, it sharpens the GTM team, attracts talent, and builds cohesion. Both",
      "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": 52,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "hr",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.035a74394db3c20297",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "9f000c8eeca8d8a16d8b3036b7622844",
          "signal_type": "query_match",
          "display_text": "Description: \"data\"",
          "tooltip": "Description matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Experience Manager Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, NetApp and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The Experience team owns the moments that shape Domino's brand. Rev (the flagship event), vertical executive boards, executive activations at marquee global moments, GTM Kickoff, and the Mid-Year Business Review. The function is delivering. We're scaling it. We're hiring an Experience Manager to own programs across this portfolio. Externally, the work deepens executive relationships, accelerates pipeline, and expands strategic accounts. Internally, it sharpens the GTM team, attracts talent, and builds cohesion. Both",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:9f000c8eeca8d8a16d8b3036b7622844:description:data",
          "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.9c91e0649b15a7e747",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "9f000c8eeca8d8a16d8b3036b7622844",
          "signal_type": "query_match",
          "display_text": "Description: \"domino\"",
          "tooltip": "Description matched \"domino\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Experience Manager Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, NetApp and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The Experience team owns the moments that shape Domino's brand. Rev (the flagship event), vertical executive boards, executive activations at marquee global moments, GTM Kickoff, and the Mid-Year Business Review. The function is delivering. We're scaling it. We're hiring an Experience Manager to own programs across this portfolio. Externally, the work deepens executive relationships, accelerates pipeline, and expands strategic accounts. Internally, it sharpens the GTM team, attracts talent, and builds cohesion. Both",
          "matched_input": "domino",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:9f000c8eeca8d8a16d8b3036b7622844:description:domino",
          "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.d703be0e9b81d3cbfa",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "9f000c8eeca8d8a16d8b3036b7622844",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Experience Manager Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, NetApp and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The Experience team owns the moments that shape Domino's brand. Rev (the flagship event), vertical executive boards, executive activations at marquee global moments, GTM Kickoff, and the Mid-Year Business Review. The function is delivering. We're scaling it. We're hiring an Experience Manager to own programs across this portfolio. Externally, the work deepens executive relationships, accelerates pipeline, and expands strategic accounts. Internally, it sharpens the GTM team, attracts talent, and builds cohesion. Both",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:9f000c8eeca8d8a16d8b3036b7622844:description:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.974c536f8d0657fab8",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "9f000c8eeca8d8a16d8b3036b7622844",
          "signal_type": "query_match",
          "display_text": "Employer: \"data\"",
          "tooltip": "Employer matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:9f000c8eeca8d8a16d8b3036b7622844:employer:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.9cae2cc2a6c154ce1e",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "9f000c8eeca8d8a16d8b3036b7622844",
          "signal_type": "query_match",
          "display_text": "Employer: \"lab\"",
          "tooltip": "Employer matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:9f000c8eeca8d8a16d8b3036b7622844:employer:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.de91ed8c2469d5bb4c",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "9f000c8eeca8d8a16d8b3036b7622844",
          "signal_type": "query_match",
          "display_text": "Employer: \"domino\"",
          "tooltip": "Employer matched \"domino\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:9f000c8eeca8d8a16d8b3036b7622844:employer:domino",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.65d357e40ca5c84d64",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "9f000c8eeca8d8a16d8b3036b7622844",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:e0e93371335a76c91fd4e873",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.053c3c93c88a67f54f",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "9f000c8eeca8d8a16d8b3036b7622844",
          "signal_type": "query_match",
          "display_text": "Employer: \"domino\"",
          "tooltip": "Employer contains \"domino\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8a0dda5601de0caa8e",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "9f000c8eeca8d8a16d8b3036b7622844",
          "signal_type": "query_match",
          "display_text": "Employer: \"lab\"",
          "tooltip": "Employer contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "lab",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fc1765259565763604",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "9f000c8eeca8d8a16d8b3036b7622844",
          "signal_type": "query_match",
          "display_text": "Employer: \"data\"",
          "tooltip": "Employer contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "data",
          "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
          }
        }
      ]
    },
    {
      "id": "d5059127f5e4858a6faa84924c650a0b",
      "title": "Staff Software Engineer, Governance",
      "employer_name": "Domino Data Lab",
      "employer_slug": "domino-data-lab",
      "location_text": "Remote US",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": 200000,
      "salary_max": 250000,
      "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": 200000,
      "base_salary_max": 250000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": 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": "2026-01-26T20:47:25.000Z",
      "apply_url": "https://app.careerpuck.com/job-board/domino-data-lab/job/7564924?gh_jid=7564924",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Software Engineer, Governance Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The Governance team at Domino is aimed at making Domino become the leading platform that enables enterprises to govern their AI projects effectively and efficiently. This is meant to support innovation cycles for our customers, while allowing them to build models and outputs responsibly and safely. The Data Product team at Domino is responsible for developing the integrations with services, systems and sources that data scientists rely on for their model",
      "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": 52,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 5,
      "years_experience_max": null,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.5f19a72899201aa8a0",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "d5059127f5e4858a6faa84924c650a0b",
          "signal_type": "query_match",
          "display_text": "Description: \"data\"",
          "tooltip": "Description matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Software Engineer, Governance Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The Governance team at Domino is aimed at making Domino become the leading platform that enables enterprises to govern their AI projects effectively and efficiently. This is meant to support innovation cycles for our customers, while allowing them to build models and outputs responsibly and safely. The Data Product team at Domino is responsible for developing the integrations with services, systems and sources that data scientists rely on for their model",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:d5059127f5e4858a6faa84924c650a0b:description:data",
          "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.cf99c85f9df1b4e70a",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "d5059127f5e4858a6faa84924c650a0b",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Software Engineer, Governance Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The Governance team at Domino is aimed at making Domino become the leading platform that enables enterprises to govern their AI projects effectively and efficiently. This is meant to support innovation cycles for our customers, while allowing them to build models and outputs responsibly and safely. The Data Product team at Domino is responsible for developing the integrations with services, systems and sources that data scientists rely on for their model",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:d5059127f5e4858a6faa84924c650a0b:description:lab",
          "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.dc221f58fcfb9107ff",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "d5059127f5e4858a6faa84924c650a0b",
          "signal_type": "query_match",
          "display_text": "Description: \"domino\"",
          "tooltip": "Description matched \"domino\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Software Engineer, Governance Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The Governance team at Domino is aimed at making Domino become the leading platform that enables enterprises to govern their AI projects effectively and efficiently. This is meant to support innovation cycles for our customers, while allowing them to build models and outputs responsibly and safely. The Data Product team at Domino is responsible for developing the integrations with services, systems and sources that data scientists rely on for their model",
          "matched_input": "domino",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:d5059127f5e4858a6faa84924c650a0b:description:domino",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2ed5cb1ecf66b19a07",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "d5059127f5e4858a6faa84924c650a0b",
          "signal_type": "query_match",
          "display_text": "Employer: \"domino\"",
          "tooltip": "Employer matched \"domino\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:d5059127f5e4858a6faa84924c650a0b:employer:domino",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8c929bb62c6e2dcc9e",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "d5059127f5e4858a6faa84924c650a0b",
          "signal_type": "query_match",
          "display_text": "Employer: \"lab\"",
          "tooltip": "Employer matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:d5059127f5e4858a6faa84924c650a0b:employer:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b2902a295181e52a2f",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "d5059127f5e4858a6faa84924c650a0b",
          "signal_type": "query_match",
          "display_text": "Employer: \"data\"",
          "tooltip": "Employer matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:d5059127f5e4858a6faa84924c650a0b:employer:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.353194c1c53e920ee7",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "d5059127f5e4858a6faa84924c650a0b",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:9492574654e788c71cfc86c5",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.4f6e64f6fa8d395abc",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "d5059127f5e4858a6faa84924c650a0b",
          "signal_type": "query_match",
          "display_text": "Employer: \"lab\"",
          "tooltip": "Employer contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "lab",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c8aefdb86667846f43",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "d5059127f5e4858a6faa84924c650a0b",
          "signal_type": "query_match",
          "display_text": "Employer: \"data\"",
          "tooltip": "Employer contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e1440044faefd487cc",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "d5059127f5e4858a6faa84924c650a0b",
          "signal_type": "query_match",
          "display_text": "Employer: \"domino\"",
          "tooltip": "Employer contains \"domino\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino",
          "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
          }
        }
      ]
    },
    {
      "id": "49c84facd672781dd1780dd2954fb720",
      "title": "Staff Product Manager, AI Factory",
      "employer_name": "Domino Data Lab",
      "employer_slug": "domino-data-lab",
      "location_text": "Remote US",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": 250000,
      "salary_max": 350000,
      "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": 250000,
      "base_salary_max": 350000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-01-15T00:36:48.000Z",
      "apply_url": "https://app.careerpuck.com/job-board/domino-data-lab/job/7527281?gh_jid=7527281",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Product Manager, AI Factory Remote US Who we are At Domino, we build software that helps the world's most sophisticated enterprises deliver mission-critical AI systems. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy models - while managing costs, risk, and security. Our customers - like Johnson & Johnson, GSK, Bristol Myers, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or defending our country. Backed by Sequoia Capital and other leading investors we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. What we are building At Domino, we are reimagining what it means to build and operate AI at scale. As the Staff Product Manager for our “AI Factory,” you'll own the set of product capabilities that streamline the model development lifecycle: developing, training, deploying, and monitoring models and AI systems. Domino has long been a trailblazer in the data science and MLOps space, offering an integrated, end-to-end product experience - from development and experimentation to model publishing and operationalization. As the industry's MLOps maturity increases, and as Gen AI creates new challenges for building and deploying AI systems maturity, we are advancing our product",
      "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": 52,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "product",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.26144435f29317e553",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49c84facd672781dd1780dd2954fb720",
          "signal_type": "query_match",
          "display_text": "Description: \"data\"",
          "tooltip": "Description matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Product Manager, AI Factory Remote US Who we are At Domino, we build software that helps the world's most sophisticated enterprises deliver mission-critical AI systems. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy models - while managing costs, risk, and security. Our customers - like Johnson & Johnson, GSK, Bristol Myers, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or defending our country. Backed by Sequoia Capital and other leading investors we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. What we are building At Domino, we are reimagining what it means to build and operate AI at scale. As the Staff Product Manager for our “AI Factory,” you'll own the set of product capabilities that streamline the model development lifecycle: developing, training, deploying, and monitoring models and AI systems. Domino has long been a trailblazer in the data science and MLOps space, offering an integrated, end-to-end product experience - from development and experimentation to model publishing and operationalization. As the industry's MLOps maturity increases, and as Gen AI creates new challenges for building and deploying AI systems maturity, we are advancing our product",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:49c84facd672781dd1780dd2954fb720:description:data",
          "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.ad86d7d1c4e34954c2",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49c84facd672781dd1780dd2954fb720",
          "signal_type": "query_match",
          "display_text": "Description: \"domino\"",
          "tooltip": "Description matched \"domino\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Product Manager, AI Factory Remote US Who we are At Domino, we build software that helps the world's most sophisticated enterprises deliver mission-critical AI systems. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy models - while managing costs, risk, and security. Our customers - like Johnson & Johnson, GSK, Bristol Myers, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or defending our country. Backed by Sequoia Capital and other leading investors we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. What we are building At Domino, we are reimagining what it means to build and operate AI at scale. As the Staff Product Manager for our “AI Factory,” you'll own the set of product capabilities that streamline the model development lifecycle: developing, training, deploying, and monitoring models and AI systems. Domino has long been a trailblazer in the data science and MLOps space, offering an integrated, end-to-end product experience - from development and experimentation to model publishing and operationalization. As the industry's MLOps maturity increases, and as Gen AI creates new challenges for building and deploying AI systems maturity, we are advancing our product",
          "matched_input": "domino",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:49c84facd672781dd1780dd2954fb720:description:domino",
          "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.db8f7816fb946e5a03",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49c84facd672781dd1780dd2954fb720",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Product Manager, AI Factory Remote US Who we are At Domino, we build software that helps the world's most sophisticated enterprises deliver mission-critical AI systems. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy models - while managing costs, risk, and security. Our customers - like Johnson & Johnson, GSK, Bristol Myers, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or defending our country. Backed by Sequoia Capital and other leading investors we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. What we are building At Domino, we are reimagining what it means to build and operate AI at scale. As the Staff Product Manager for our “AI Factory,” you'll own the set of product capabilities that streamline the model development lifecycle: developing, training, deploying, and monitoring models and AI systems. Domino has long been a trailblazer in the data science and MLOps space, offering an integrated, end-to-end product experience - from development and experimentation to model publishing and operationalization. As the industry's MLOps maturity increases, and as Gen AI creates new challenges for building and deploying AI systems maturity, we are advancing our product",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:49c84facd672781dd1780dd2954fb720:description:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.509ce9bfef51b74f2e",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49c84facd672781dd1780dd2954fb720",
          "signal_type": "query_match",
          "display_text": "Employer: \"data\"",
          "tooltip": "Employer matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:49c84facd672781dd1780dd2954fb720:employer:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8466b6c1568f6821b2",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49c84facd672781dd1780dd2954fb720",
          "signal_type": "query_match",
          "display_text": "Employer: \"domino\"",
          "tooltip": "Employer matched \"domino\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:49c84facd672781dd1780dd2954fb720:employer:domino",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e2afc081e6d13247a8",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49c84facd672781dd1780dd2954fb720",
          "signal_type": "query_match",
          "display_text": "Employer: \"lab\"",
          "tooltip": "Employer matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:49c84facd672781dd1780dd2954fb720:employer:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.6527065f2f1d3e7758",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49c84facd672781dd1780dd2954fb720",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:af2a622821331f3127086cff",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0152db844701f41092",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49c84facd672781dd1780dd2954fb720",
          "signal_type": "query_match",
          "display_text": "Employer: \"lab\"",
          "tooltip": "Employer contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "lab",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3310d231990f79bed2",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49c84facd672781dd1780dd2954fb720",
          "signal_type": "query_match",
          "display_text": "Employer: \"data\"",
          "tooltip": "Employer contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.38d96db6e50519eaec",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49c84facd672781dd1780dd2954fb720",
          "signal_type": "query_match",
          "display_text": "Employer: \"domino\"",
          "tooltip": "Employer contains \"domino\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Domino Data Lab",
          "matched_input": "domino",
          "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
          }
        }
      ]
    },
    {
      "id": "a278a4ffd7e0b4ca22f507ceb5d06fe4",
      "title": "Data Scientist - AI Lab (AILAB)",
      "employer_name": "Rakuten Inc.",
      "employer_slug": "rakuten",
      "location_text": "Tokyo, Japan",
      "country": "JP",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://rakuten.wd1.myworkdayjobs.com/RakutenInc/job/Tokyo-Japan/Data-Scientist---AI-Lab--AILAB-_1033415-44",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Data Scientist - AI Lab (AILAB) Tokyo, Japan posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": 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.description_excerpt.36cc29a91abc561f0d",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a278a4ffd7e0b4ca22f507ceb5d06fe4",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Data Scientist - AI Lab (AILAB) Tokyo, Japan posted: Posted 30+ Days Ago",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:a278a4ffd7e0b4ca22f507ceb5d06fe4:description:lab",
          "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.5f8a1c4d631e150a73",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a278a4ffd7e0b4ca22f507ceb5d06fe4",
          "signal_type": "query_match",
          "display_text": "Description: \"data\"",
          "tooltip": "Description matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Data Scientist - AI Lab (AILAB) Tokyo, Japan posted: Posted 30+ Days Ago",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:a278a4ffd7e0b4ca22f507ceb5d06fe4:description:data",
          "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.role_function.da1cdcd902015c3158",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a278a4ffd7e0b4ca22f507ceb5d06fe4",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:a278a4ffd7e0b4ca22f507ceb5d06fe4:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.46322892fdf3ab2d11",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a278a4ffd7e0b4ca22f507ceb5d06fe4",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Data Scientist - AI Lab (AILAB)",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:a278a4ffd7e0b4ca22f507ceb5d06fe4:title:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.7ad231cc835000f8b3",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a278a4ffd7e0b4ca22f507ceb5d06fe4",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Data Scientist - AI Lab (AILAB)",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:a278a4ffd7e0b4ca22f507ceb5d06fe4:title:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.c308d6a11fb77fed3e",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a278a4ffd7e0b4ca22f507ceb5d06fe4",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Data Scientist - AI Lab (AILAB)",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:641544b5c386380c54ecd99f",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.95a8e743c741cff2e9",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a278a4ffd7e0b4ca22f507ceb5d06fe4",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Data Scientist - AI Lab (AILAB)",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.f0b64aea93404ded68",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a278a4ffd7e0b4ca22f507ceb5d06fe4",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Data Scientist - AI Lab (AILAB)",
          "matched_input": "lab",
          "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
          }
        }
      ]
    },
    {
      "id": "bc7ed6dfc149e07dd4dbf788fbac824b",
      "title": "Lab Product Owner - Customer Affordability & Data, Consumer Data Lab",
      "employer_name": "Lloyds Banking Group",
      "employer_slug": "lbg",
      "location_text": "3 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-03T00:00:00.000Z",
      "apply_url": "https://lbg.wd3.myworkdayjobs.com/LBG_Careers/job/Chester-Cawley-House/Lab-Product-Owner---Customer-Affordability---Data--Consumer-Data-Lab_157880-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lab Product Owner - Customer Affordability & Data, Consumer Data Lab 3 Locations posted: Posted 9 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": 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.description_excerpt.5444837f4cc3607157",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bc7ed6dfc149e07dd4dbf788fbac824b",
          "signal_type": "query_match",
          "display_text": "Description: \"data\"",
          "tooltip": "Description matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lab Product Owner - Customer Affordability & Data, Consumer Data Lab 3 Locations posted: Posted 9 Days Ago",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bc7ed6dfc149e07dd4dbf788fbac824b:description:data",
          "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.e3c0f6347984aba853",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bc7ed6dfc149e07dd4dbf788fbac824b",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lab Product Owner - Customer Affordability & Data, Consumer Data Lab 3 Locations posted: Posted 9 Days Ago",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bc7ed6dfc149e07dd4dbf788fbac824b:description:lab",
          "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.role_function.641bb112096eb23f48",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bc7ed6dfc149e07dd4dbf788fbac824b",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bc7ed6dfc149e07dd4dbf788fbac824b:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.0bd6c6787176528d56",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bc7ed6dfc149e07dd4dbf788fbac824b",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Lab Product Owner - Customer Affordability & Data, Consumer Data Lab",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bc7ed6dfc149e07dd4dbf788fbac824b:title:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.106d319526cb88a65c",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bc7ed6dfc149e07dd4dbf788fbac824b",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Lab Product Owner - Customer Affordability & Data, Consumer Data Lab",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bc7ed6dfc149e07dd4dbf788fbac824b:title:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.ed7d62cd9825233c5f",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bc7ed6dfc149e07dd4dbf788fbac824b",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Lab Product Owner - Customer Affordability & Data, Consumer Data Lab",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:9cb37facb995b0cc15bab5e1",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.5c6a2538b05fbca1da",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bc7ed6dfc149e07dd4dbf788fbac824b",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Lab Product Owner - Customer Affordability & Data, Consumer Data Lab",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.96d0eb02285f57f70c",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bc7ed6dfc149e07dd4dbf788fbac824b",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Lab Product Owner - Customer Affordability & Data, Consumer Data Lab",
          "matched_input": "lab",
          "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
          }
        }
      ]
    },
    {
      "id": "a25eb6b61b49535336e93851a07be4a0",
      "title": "Senior Scientist, Lab & Data Automation",
      "employer_name": "AstraZeneca",
      "employer_slug": "astrazeneca",
      "location_text": "US – Santa Monica Colorado Avenue – CA",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-03T00:00:00.000Z",
      "apply_url": "https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/US--Santa-Monica-Colorado-Avenue--CA/Senior-Scientist--Lab---Data-Automation_R-253717-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Scientist, Lab & Data Automation US – Santa Monica Colorado Avenue – CA posted: Posted 9 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": 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.description_excerpt.f98a4e9076c616a85d",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a25eb6b61b49535336e93851a07be4a0",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Scientist, Lab & Data Automation US – Santa Monica Colorado Avenue – CA posted: Posted 9 Days Ago",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:a25eb6b61b49535336e93851a07be4a0:description:lab",
          "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.f9ddd42d115eaa3459",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a25eb6b61b49535336e93851a07be4a0",
          "signal_type": "query_match",
          "display_text": "Description: \"data\"",
          "tooltip": "Description matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Scientist, Lab & Data Automation US – Santa Monica Colorado Avenue – CA posted: Posted 9 Days Ago",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:a25eb6b61b49535336e93851a07be4a0:description:data",
          "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.role_function.2c7c5cd24ee1f72e05",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a25eb6b61b49535336e93851a07be4a0",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:a25eb6b61b49535336e93851a07be4a0:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.1ab917f6cb62786b00",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a25eb6b61b49535336e93851a07be4a0",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Scientist, Lab & Data Automation",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:a25eb6b61b49535336e93851a07be4a0:title:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.d3a470fd8f0536147b",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a25eb6b61b49535336e93851a07be4a0",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Scientist, Lab & Data Automation",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:a25eb6b61b49535336e93851a07be4a0:title:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.b492e35346ce3886fa",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a25eb6b61b49535336e93851a07be4a0",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Senior Scientist, Lab & Data Automation",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:6172abafd302bc78082f9886",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.16c373e7f9716ded37",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a25eb6b61b49535336e93851a07be4a0",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Scientist, Lab & Data Automation",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.6769b08db03a85049a",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "a25eb6b61b49535336e93851a07be4a0",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Scientist, Lab & Data Automation",
          "matched_input": "lab",
          "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
          }
        }
      ]
    },
    {
      "id": "05fc7efc44ce76d8c5c94ebf3c3421c6",
      "title": "Senior Engineer - Data Engineering(Data and AI Governance Engineer)",
      "employer_name": "Sysco",
      "employer_slug": "sysco",
      "location_text": "Sysco LABS - Sri Lanka",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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://sysco.wd5.myworkdayjobs.com/syscocareers/job/Sysco-LABS-----Sri-Lanka/Senior-Engineer---Data-Engineering-Data-and-AI-Governance-Engineer-_R241776",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Engineer - Data Engineering(Data and AI Governance Engineer) Sysco LABS - Sri Lanka posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": 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.description_excerpt.eabdd2c025a9f61e9b",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "05fc7efc44ce76d8c5c94ebf3c3421c6",
          "signal_type": "query_match",
          "display_text": "Description: \"data\"",
          "tooltip": "Description matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Engineer - Data Engineering(Data and AI Governance Engineer) Sysco LABS - Sri Lanka posted: Posted 30+ Days Ago",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:05fc7efc44ce76d8c5c94ebf3c3421c6:description:data",
          "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.f93b4ea974eeced0f1",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "05fc7efc44ce76d8c5c94ebf3c3421c6",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Engineer - Data Engineering(Data and AI Governance Engineer) Sysco LABS - Sri Lanka posted: Posted 30+ Days Ago",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:05fc7efc44ce76d8c5c94ebf3c3421c6:description:lab",
          "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.05c74b440cc10cc023",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "05fc7efc44ce76d8c5c94ebf3c3421c6",
          "signal_type": "query_match",
          "display_text": "Location: \"lab\"",
          "tooltip": "Location matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Sysco LABS - Sri Lanka",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:05fc7efc44ce76d8c5c94ebf3c3421c6:location:lab",
          "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.role_function.79786606dffd57c7d9",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "05fc7efc44ce76d8c5c94ebf3c3421c6",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:05fc7efc44ce76d8c5c94ebf3c3421c6:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.8f74fcc52a14878f4d",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "05fc7efc44ce76d8c5c94ebf3c3421c6",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Engineer - Data Engineering(Data and AI Governance Engineer)",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:05fc7efc44ce76d8c5c94ebf3c3421c6:title:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.fa8c8f990d314db731",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "05fc7efc44ce76d8c5c94ebf3c3421c6",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Senior Engineer - Data Engineering(Data and AI Governance Engineer)",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:4be5fd1d40503f915d14a740",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.c607e34d3cac2b14d9",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "05fc7efc44ce76d8c5c94ebf3c3421c6",
          "signal_type": "query_match",
          "display_text": "Location: \"lab\"",
          "tooltip": "Location contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Sysco LABS - Sri Lanka",
          "matched_input": "lab",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.63f712630e84cbfeff",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "05fc7efc44ce76d8c5c94ebf3c3421c6",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Engineer - Data Engineering(Data and AI Governance Engineer)",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.e24d0c0cc460060907",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "05fc7efc44ce76d8c5c94ebf3c3421c6",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "f7da86c202ac087dae6836cec322c4ba",
      "title": "Senior Engineer - Data Engineering (Data and Records Management Engineer)",
      "employer_name": "Sysco",
      "employer_slug": "sysco",
      "location_text": "Sysco LABS - Sri Lanka",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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://sysco.wd5.myworkdayjobs.com/syscocareers/job/Sysco-LABS-----Sri-Lanka/Senior-Engineer---Data-Engineering--Data-and-Records-Management-Engineer-_R241764",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Engineer - Data Engineering (Data and Records Management Engineer) Sysco LABS - Sri Lanka posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": 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.description_excerpt.0077f3539f58d6d35b",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "f7da86c202ac087dae6836cec322c4ba",
          "signal_type": "query_match",
          "display_text": "Description: \"data\"",
          "tooltip": "Description matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Engineer - Data Engineering (Data and Records Management Engineer) Sysco LABS - Sri Lanka posted: Posted 30+ Days Ago",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:f7da86c202ac087dae6836cec322c4ba:description:data",
          "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.c172216f7c34a3a4b2",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "f7da86c202ac087dae6836cec322c4ba",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Engineer - Data Engineering (Data and Records Management Engineer) Sysco LABS - Sri Lanka posted: Posted 30+ Days Ago",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:f7da86c202ac087dae6836cec322c4ba:description:lab",
          "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.639a71745a830e086d",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "f7da86c202ac087dae6836cec322c4ba",
          "signal_type": "query_match",
          "display_text": "Location: \"lab\"",
          "tooltip": "Location matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Sysco LABS - Sri Lanka",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:f7da86c202ac087dae6836cec322c4ba:location:lab",
          "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.role_function.40bbd759edbe20d2b9",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "f7da86c202ac087dae6836cec322c4ba",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:f7da86c202ac087dae6836cec322c4ba:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.d193adfdaaf7a2db82",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "f7da86c202ac087dae6836cec322c4ba",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Engineer - Data Engineering (Data and Records Management Engineer)",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:f7da86c202ac087dae6836cec322c4ba:title:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.b2455c78fab002adfb",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "f7da86c202ac087dae6836cec322c4ba",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Senior Engineer - Data Engineering (Data and Records Management Engineer)",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:f89c4c876779255500cd3ab0",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.546cb1f5aa691a5648",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "f7da86c202ac087dae6836cec322c4ba",
          "signal_type": "query_match",
          "display_text": "Location: \"lab\"",
          "tooltip": "Location contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Sysco LABS - Sri Lanka",
          "matched_input": "lab",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.25927472ffc070d96a",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "f7da86c202ac087dae6836cec322c4ba",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Engineer - Data Engineering (Data and Records Management Engineer)",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.ee173d15139420945d",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "f7da86c202ac087dae6836cec322c4ba",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "e662cecf8581875062606bfae0c9dcc1",
      "title": "Lead Materials Science Lab (MSL) engineer and Lab Owner",
      "employer_name": "Hewlett-Packard",
      "employer_slug": "hewlett-packard",
      "location_text": "Fort Collins, Colorado, United States of America",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://hp.eightfold.ai/careers/job/42229729",
      "apply_url_verified": false,
      "ats": "eightfold",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead Materials Science Lab (MSL) engineer and Lab Owner Fort Collins, Colorado, United States of America",
      "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,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": 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.description_excerpt.128c1d150c64a9b6b8",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "e662cecf8581875062606bfae0c9dcc1",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead Materials Science Lab (MSL) engineer and Lab Owner Fort Collins, Colorado, United States of America",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:e662cecf8581875062606bfae0c9dcc1:description:lab",
          "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.role_function.a2ba519adb2b180064",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "e662cecf8581875062606bfae0c9dcc1",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:e662cecf8581875062606bfae0c9dcc1:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.68de8dcd03bc8895d3",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "e662cecf8581875062606bfae0c9dcc1",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Lead Materials Science Lab (MSL) engineer and Lab Owner",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:e662cecf8581875062606bfae0c9dcc1:title:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.ef85b98c8ba8d62e4b",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "e662cecf8581875062606bfae0c9dcc1",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:e98c575a6db0ae3f314357c8",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.role_function.80f78c02322aedd7ce",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "e662cecf8581875062606bfae0c9dcc1",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.f1480ab5d9e0863acc",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "e662cecf8581875062606bfae0c9dcc1",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Lead Materials Science Lab (MSL) engineer and Lab Owner",
          "matched_input": "lab",
          "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
          }
        }
      ]
    },
    {
      "id": "bf239575f63b2a9713fcc58ef4139a4b",
      "title": "Data Scientist, Lab & Protein Data",
      "employer_name": "Adaptyv",
      "employer_slug": "adaptyv",
      "location_text": "Lausanne | OnSite",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "onsite",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 5,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/adaptyv/d15ab16a-2a89-43e5-b8c1-46e1badef5f2",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Data Scientist, Lab & Protein Data Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out the data science layer of Adaptyv's foundry - the work that turns tens of thousands of raw, messy experimental readouts into clean, trustworthy, structured data that our customers, our models, and our own scientists can rely on. Binding (BLI/SPR), developability, biophysical, and functional assays all produce data at scale; your job is to make that",
      "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,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": 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.4a04f97b75f6a6074f",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bf239575f63b2a9713fcc58ef4139a4b",
          "signal_type": "query_match",
          "display_text": "Description: \"data\"",
          "tooltip": "Description matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Data Scientist, Lab & Protein Data Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out the data science layer of Adaptyv's foundry - the work that turns tens of thousands of raw, messy experimental readouts into clean, trustworthy, structured data that our customers, our models, and our own scientists can rely on. Binding (BLI/SPR), developability, biophysical, and functional assays all produce data at scale; your job is to make that",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bf239575f63b2a9713fcc58ef4139a4b:description:data",
          "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.60bef4239a08beb435",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bf239575f63b2a9713fcc58ef4139a4b",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Data Scientist, Lab & Protein Data Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out the data science layer of Adaptyv's foundry - the work that turns tens of thousands of raw, messy experimental readouts into clean, trustworthy, structured data that our customers, our models, and our own scientists can rely on. Binding (BLI/SPR), developability, biophysical, and functional assays all produce data at scale; your job is to make that",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bf239575f63b2a9713fcc58ef4139a4b:description:lab",
          "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.role_function.63c82b8e951a4e2985",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bf239575f63b2a9713fcc58ef4139a4b",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bf239575f63b2a9713fcc58ef4139a4b:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.252fd998f4fe52c07a",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bf239575f63b2a9713fcc58ef4139a4b",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Data Scientist, Lab & Protein Data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bf239575f63b2a9713fcc58ef4139a4b:title:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.8a47f906d0220d9581",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bf239575f63b2a9713fcc58ef4139a4b",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Data Scientist, Lab & Protein Data",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bf239575f63b2a9713fcc58ef4139a4b:title:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.fe25cab7d89c68c9a1",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bf239575f63b2a9713fcc58ef4139a4b",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Data Scientist, Lab & Protein Data",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:524e5ea2d4d9acb2a0158f75",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.39335730d45af9048b",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bf239575f63b2a9713fcc58ef4139a4b",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Data Scientist, Lab & Protein Data",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.b1a3f7cc9461c7ab77",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bf239575f63b2a9713fcc58ef4139a4b",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Data Scientist, Lab & Protein Data",
          "matched_input": "lab",
          "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
          }
        }
      ]
    },
    {
      "id": "44e559e5fd05219d5f48236a99709415",
      "title": "Clinical Lab Scientist HLA Lab (Night Shift)",
      "employer_name": "Stanford Health Care",
      "employer_slug": "stanford-health-care",
      "location_text": "PALO ALTO, California, United States of America",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-05T00:00:00.000Z",
      "apply_url": "https://stanfordmedicine.wd115.myworkdayjobs.com/SHC_External_Career_Site/job/3373-Hillview---Blood-Ctr---PALO-ALTO/Clinical-Lab-Scientist-HLA-Lab--Night-Shift-_R2655143/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Clinical Lab Scientist HLA Lab (Night Shift) PALO ALTO, California, United States of America Join us as a Clinical Laboratory Scientist at Stanford Blood Center's Histocompatibility Lab. Perform complex HLA antibody and crossmatching assays, lead technical training, and ensure regulatory compliance. Ideal for those with hands-on lab experience and a California CLS or CHS license. Grow your career in a high-impact, innovative environment.",
      "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,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Healthcare",
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": true,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8bba2d987a21b48713",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "44e559e5fd05219d5f48236a99709415",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Clinical Lab Scientist HLA Lab (Night Shift) PALO ALTO, California, United States of America Join us as a Clinical Laboratory Scientist at Stanford Blood Center's Histocompatibility Lab. Perform complex HLA antibody and crossmatching assays, lead technical training, and ensure regulatory compliance. Ideal for those with hands-on lab experience and a California CLS or CHS license. Grow your career in a high-impact, innovative environment.",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:44e559e5fd05219d5f48236a99709415:description:lab",
          "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.role_function.058a7ab94574b01cb7",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "44e559e5fd05219d5f48236a99709415",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:44e559e5fd05219d5f48236a99709415:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.1c288a2ebcca9790d6",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "44e559e5fd05219d5f48236a99709415",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Clinical Lab Scientist HLA Lab (Night Shift)",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:44e559e5fd05219d5f48236a99709415:title:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.a9fd96a9feaf16ecd7",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "44e559e5fd05219d5f48236a99709415",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:692caeb702dd933a9e61bf98",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.role_function.e372f94049649c7c95",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "44e559e5fd05219d5f48236a99709415",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.5ef577fca14900c6a2",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "44e559e5fd05219d5f48236a99709415",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Clinical Lab Scientist HLA Lab (Night Shift)",
          "matched_input": "lab",
          "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
          }
        }
      ]
    },
    {
      "id": "49e3251297fd54dd22095984be69f67f",
      "title": "Research Engineer, Lab Automation",
      "employer_name": "Periodic Labs",
      "employer_slug": "periodic-labs",
      "location_text": "Menlo Park, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 200000,
      "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": 200000,
      "base_salary_max": 250000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z"
      ],
      "posted_at": "2025-09-22T03:29:46.949Z",
      "apply_url": "https://jobs.ashbyhq.com/periodic-labs/5e692aeb-234b-4112-b318-7ff464977303",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Research Engineer, Lab Automation Menlo Park, California, United States The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Join a world-class team of scientists and engineers pushing the boundaries of materials research in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale. We're building an autonomous lab to speed up materials discovery, and we need someone who loves making instruments, robots, and data systems play beautifully together. As our Automation Engineer, you'll turn scientific workflows into working software and integrations by designing clear data models, connecting instruments and automation to our lab information systems, and making sure everything runs in sync, safely, and reliably. What You'll Do - Collaborate with bench scientists to translate experiments and lab workflows into clear integration specs and data models. - Work with integrators to design and build automated workcells for materials R&D. - Build and maintain services that connect instruments and robots to lab information systems. - Develop instrument drivers that automate lab workflows by generating command sequences and invoking vendor API/SDK methods. - Collaborate with AI and data scientists to tightly integrate the autonomous lab with AI models",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": 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": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.724761abbb7341482e",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49e3251297fd54dd22095984be69f67f",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Engineer, Lab Automation Menlo Park, California, United States The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Join a world-class team of scientists and engineers pushing the boundaries of materials research in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale. We're building an autonomous lab to speed up materials discovery, and we need someone who loves making instruments, robots, and data systems play beautifully together. As our Automation Engineer, you'll turn scientific workflows into working software and integrations by designing clear data models, connecting instruments and automation to our lab information systems, and making sure everything runs in sync, safely, and reliably. What You'll Do - Collaborate with bench scientists to translate experiments and lab workflows into clear integration specs and data models. - Work with integrators to design and build automated workcells for materials R&D. - Build and maintain services that connect instruments and robots to lab information systems. - Develop instrument drivers that automate lab workflows by generating command sequences and invoking vendor API/SDK methods. - Collaborate with AI and data scientists to tightly integrate the autonomous lab with AI models",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:49e3251297fd54dd22095984be69f67f:description:lab",
          "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.dbad44dea36f34b5d8",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49e3251297fd54dd22095984be69f67f",
          "signal_type": "query_match",
          "display_text": "Description: \"data\"",
          "tooltip": "Description matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Engineer, Lab Automation Menlo Park, California, United States The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Join a world-class team of scientists and engineers pushing the boundaries of materials research in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale. We're building an autonomous lab to speed up materials discovery, and we need someone who loves making instruments, robots, and data systems play beautifully together. As our Automation Engineer, you'll turn scientific workflows into working software and integrations by designing clear data models, connecting instruments and automation to our lab information systems, and making sure everything runs in sync, safely, and reliably. What You'll Do - Collaborate with bench scientists to translate experiments and lab workflows into clear integration specs and data models. - Work with integrators to design and build automated workcells for materials R&D. - Build and maintain services that connect instruments and robots to lab information systems. - Develop instrument drivers that automate lab workflows by generating command sequences and invoking vendor API/SDK methods. - Collaborate with AI and data scientists to tightly integrate the autonomous lab with AI models",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:49e3251297fd54dd22095984be69f67f:description:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3f438a2d1054014f8a",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49e3251297fd54dd22095984be69f67f",
          "signal_type": "query_match",
          "display_text": "Employer: \"lab\"",
          "tooltip": "Employer matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Periodic Labs",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:49e3251297fd54dd22095984be69f67f:employer:lab",
          "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.role_function.83008b5d3975829e64",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49e3251297fd54dd22095984be69f67f",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:49e3251297fd54dd22095984be69f67f:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.ba44a5a640775b1428",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49e3251297fd54dd22095984be69f67f",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Research Engineer, Lab Automation",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:49e3251297fd54dd22095984be69f67f:title:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.c81ed22cfb19f97548",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49e3251297fd54dd22095984be69f67f",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:06c3dfe60fdea826fd857824",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.role_function.da47914726d3d7d327",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49e3251297fd54dd22095984be69f67f",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.3e84323e9fdced768b",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "49e3251297fd54dd22095984be69f67f",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Research Engineer, Lab Automation",
          "matched_input": "lab",
          "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
          }
        }
      ]
    },
    {
      "id": "8f0c90a330560415fcfa2a788a9929c7",
      "title": "Clinical Lab Scientist I",
      "employer_name": "Quest Diagnostics",
      "employer_slug": "quest-diagnostics",
      "location_text": "San Juan Capistrano, CA, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-11T00:00:00.000Z",
      "apply_url": "https://hdox.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/requisitions/job/61792",
      "apply_url_verified": false,
      "ats": "oracle_recruiting_cloud",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Clinical Lab Scientist I San Juan Capistrano, CA, United States Clinical Lab Scientist I",
      "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,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": 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.description_excerpt.867aa8f3cbc3980708",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "8f0c90a330560415fcfa2a788a9929c7",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Clinical Lab Scientist I San Juan Capistrano, CA, United States Clinical Lab Scientist I",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:8f0c90a330560415fcfa2a788a9929c7:description:lab",
          "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.role_function.90592baa8edcd26b95",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "8f0c90a330560415fcfa2a788a9929c7",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:8f0c90a330560415fcfa2a788a9929c7:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.171d312e9651c0e61a",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "8f0c90a330560415fcfa2a788a9929c7",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Clinical Lab Scientist I",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:8f0c90a330560415fcfa2a788a9929c7:title:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.08d227e1d39014a7f9",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "8f0c90a330560415fcfa2a788a9929c7",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:70296e4cc6153c3173c22778",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.role_function.4189af79651184be04",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "8f0c90a330560415fcfa2a788a9929c7",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.43b1d55d1935fe315f",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "8f0c90a330560415fcfa2a788a9929c7",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Clinical Lab Scientist I",
          "matched_input": "lab",
          "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
          }
        }
      ]
    },
    {
      "id": "92e68b82a8893b2aa1fda8146dc162a8",
      "title": "Research Lab Manager - Lab of Dr.Zachary Schug",
      "employer_name": "Jefferson Health",
      "employer_slug": "jeffersonhealth",
      "location_text": "Philadelphia, PA",
      "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": [],
      "posted_at": "2026-05-26T00:00:00.000Z",
      "apply_url": "https://jeffersonhealth.wd5.myworkdayjobs.com/ThomasJeffersonExternal/job/Philadelphia-PA/Research-Lab-Manager_REQ-0030506-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Research Lab Manager - Lab of Dr.Zachary Schug Philadelphia, PA posted: Posted 17 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": "Healthcare",
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7103bd1d43d13884e5",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "92e68b82a8893b2aa1fda8146dc162a8",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Lab Manager - Lab of Dr.Zachary Schug Philadelphia, PA posted: Posted 17 Days Ago",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:92e68b82a8893b2aa1fda8146dc162a8:description:lab",
          "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.role_function.919664783aa275946c",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "92e68b82a8893b2aa1fda8146dc162a8",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:92e68b82a8893b2aa1fda8146dc162a8:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.bf34fa7b082541e062",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "92e68b82a8893b2aa1fda8146dc162a8",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Research Lab Manager - Lab of Dr.Zachary Schug",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:92e68b82a8893b2aa1fda8146dc162a8:title:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.4cd64a3e75049f9891",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "92e68b82a8893b2aa1fda8146dc162a8",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:957c40946b301a06d89cde5f",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.role_function.88b53ba813f51db9eb",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "92e68b82a8893b2aa1fda8146dc162a8",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.391af3c5725d5752f4",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "92e68b82a8893b2aa1fda8146dc162a8",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Research Lab Manager - Lab of Dr.Zachary Schug",
          "matched_input": "lab",
          "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
          }
        }
      ]
    },
    {
      "id": "8bd7b97464157764ebb409c8b11be850",
      "title": "Senior Engineer - Data Engineering",
      "employer_name": "Sysco",
      "employer_slug": "sysco",
      "location_text": "Sysco LABS - Sri Lanka",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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://sysco.wd5.myworkdayjobs.com/syscocareers/job/Sysco-LABS-----Sri-Lanka/Associate-Technical-Lead---Data-Engineering_R235130",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Engineer - Data Engineering Sysco LABS - Sri Lanka posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": 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.description_excerpt.a12e54eb23cfa0a65c",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "8bd7b97464157764ebb409c8b11be850",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Engineer - Data Engineering Sysco LABS - Sri Lanka posted: Posted 30+ Days Ago",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:8bd7b97464157764ebb409c8b11be850:description:lab",
          "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.b271794cced467d251",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "8bd7b97464157764ebb409c8b11be850",
          "signal_type": "query_match",
          "display_text": "Description: \"data\"",
          "tooltip": "Description matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Engineer - Data Engineering Sysco LABS - Sri Lanka posted: Posted 30+ Days Ago",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:8bd7b97464157764ebb409c8b11be850:description:data",
          "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.7302cb1aa925206bb6",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "8bd7b97464157764ebb409c8b11be850",
          "signal_type": "query_match",
          "display_text": "Location: \"lab\"",
          "tooltip": "Location matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Sysco LABS - Sri Lanka",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:8bd7b97464157764ebb409c8b11be850:location:lab",
          "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.role_function.b310dcdeefd4d95d1e",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "8bd7b97464157764ebb409c8b11be850",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:8bd7b97464157764ebb409c8b11be850:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.859a9244797759315e",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "8bd7b97464157764ebb409c8b11be850",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Engineer - Data Engineering",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:8bd7b97464157764ebb409c8b11be850:title:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.ec0879733c2e41a174",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "8bd7b97464157764ebb409c8b11be850",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Senior Engineer - Data Engineering",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:865439b3c3a853e08f808439",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.1798b21a6847f0acc5",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "8bd7b97464157764ebb409c8b11be850",
          "signal_type": "query_match",
          "display_text": "Location: \"lab\"",
          "tooltip": "Location contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Sysco LABS - Sri Lanka",
          "matched_input": "lab",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.aced0504aa0114445d",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "8bd7b97464157764ebb409c8b11be850",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Engineer - Data Engineering",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.44f858e540a26a764a",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "8bd7b97464157764ebb409c8b11be850",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "9f911ba58e8faeb8201ff30d2a86e396",
      "title": "Internship - Assistant for Engineering Lab (f/m/div)",
      "employer_name": "Infineon Technologies",
      "employer_slug": "infineon-technologies",
      "location_text": "Villach (Austria)",
      "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": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://infineon.eightfold.ai/careers/job/563808971198053",
      "apply_url_verified": false,
      "ats": "eightfold",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Internship - Assistant for Engineering Lab (f/m/div) Villach (Austria)",
      "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,
      "seniority": "entry",
      "years_experience_min": 0,
      "years_experience_max": 4,
      "role_function": "data",
      "employer_industry": 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.description_excerpt.31ab0129ee00c44608",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "9f911ba58e8faeb8201ff30d2a86e396",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Internship - Assistant for Engineering Lab (f/m/div) Villach (Austria)",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:9f911ba58e8faeb8201ff30d2a86e396:description:lab",
          "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.role_function.457046e55d730a2d3a",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "9f911ba58e8faeb8201ff30d2a86e396",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:9f911ba58e8faeb8201ff30d2a86e396:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.2e77baf5876528bff9",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "9f911ba58e8faeb8201ff30d2a86e396",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Internship - Assistant for Engineering Lab (f/m/div)",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:9f911ba58e8faeb8201ff30d2a86e396:title:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.834e1ed51181f9fef4",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "9f911ba58e8faeb8201ff30d2a86e396",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:dfce760c8d1ca58ee373c743",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.role_function.fbbdeeb42153ae274e",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "9f911ba58e8faeb8201ff30d2a86e396",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.ab07b2f1590f5b2c30",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "9f911ba58e8faeb8201ff30d2a86e396",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Internship - Assistant for Engineering Lab (f/m/div)",
          "matched_input": "lab",
          "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
          }
        }
      ]
    },
    {
      "id": "120b044dab9f3a4e359b57822c54f6c3",
      "title": "Lab Assistant - Environmental Services",
      "employer_name": "Labcorp",
      "employer_slug": "labcorp",
      "location_text": "Birmingham AL",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-11T00:00:00.000Z",
      "apply_url": "https://labcorp.wd1.myworkdayjobs.com/External/job/Birmingham-AL/Lab-Assistant---Environmental-Services_2614572",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lab Assistant - Environmental Services Birmingham AL posted: Posted Yesterday",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Healthcare",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3b9a3ad9a099ad5334",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "120b044dab9f3a4e359b57822c54f6c3",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lab Assistant - Environmental Services Birmingham AL posted: Posted Yesterday",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:120b044dab9f3a4e359b57822c54f6c3:description:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ee0add1b81e8b08bf0",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "120b044dab9f3a4e359b57822c54f6c3",
          "signal_type": "query_match",
          "display_text": "Employer: \"lab\"",
          "tooltip": "Employer matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Labcorp",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:120b044dab9f3a4e359b57822c54f6c3:employer:lab",
          "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.role_function.9a982c55571766be0b",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "120b044dab9f3a4e359b57822c54f6c3",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:120b044dab9f3a4e359b57822c54f6c3:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.2890c7708ac8f2eaf7",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "120b044dab9f3a4e359b57822c54f6c3",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Lab Assistant - Environmental Services",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:120b044dab9f3a4e359b57822c54f6c3:title:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.ddfee9ab15a77e8879",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "120b044dab9f3a4e359b57822c54f6c3",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:23047ab95ec8a1716a65587b",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.role_function.d6b5ce3c5f94db8200",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "120b044dab9f3a4e359b57822c54f6c3",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.5e7ab2f409c9eec470",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "120b044dab9f3a4e359b57822c54f6c3",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Lab Assistant - Environmental Services",
          "matched_input": "lab",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.c87cd9f93caeca6439",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "120b044dab9f3a4e359b57822c54f6c3",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "b019053e7d97eede6278772dbcc68b39",
      "title": "Engineer - Data Engineering - Tableau",
      "employer_name": "Sysco",
      "employer_slug": "sysco",
      "location_text": "Sysco LABS - Sri Lanka",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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://sysco.wd5.myworkdayjobs.com/syscocareers/job/Sysco-LABS-----Sri-Lanka/Engineer---Data-Engineering---Tableau_R228615",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Engineer - Data Engineering - Tableau Sysco LABS - Sri Lanka posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": 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.description_excerpt.af049dcc25b7259b10",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b019053e7d97eede6278772dbcc68b39",
          "signal_type": "query_match",
          "display_text": "Description: \"data\"",
          "tooltip": "Description matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Engineer - Data Engineering - Tableau Sysco LABS - Sri Lanka posted: Posted 30+ Days Ago",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:b019053e7d97eede6278772dbcc68b39:description:data",
          "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.f4545455094757414f",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b019053e7d97eede6278772dbcc68b39",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Engineer - Data Engineering - Tableau Sysco LABS - Sri Lanka posted: Posted 30+ Days Ago",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:b019053e7d97eede6278772dbcc68b39:description:lab",
          "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.ec57c92277de8ba0a5",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b019053e7d97eede6278772dbcc68b39",
          "signal_type": "query_match",
          "display_text": "Location: \"lab\"",
          "tooltip": "Location matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Sysco LABS - Sri Lanka",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:b019053e7d97eede6278772dbcc68b39:location:lab",
          "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.role_function.a8ed08d5a54e6acf90",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b019053e7d97eede6278772dbcc68b39",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:b019053e7d97eede6278772dbcc68b39:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.49c18b43ff100786a4",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b019053e7d97eede6278772dbcc68b39",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Engineer - Data Engineering - Tableau",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:b019053e7d97eede6278772dbcc68b39:title:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.5c55d53a80e1deb51e",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b019053e7d97eede6278772dbcc68b39",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Engineer - Data Engineering - Tableau",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:d301ceff6a721b42e44e869f",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.9620c143149739768b",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b019053e7d97eede6278772dbcc68b39",
          "signal_type": "query_match",
          "display_text": "Location: \"lab\"",
          "tooltip": "Location contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Sysco LABS - Sri Lanka",
          "matched_input": "lab",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.367b3792c12c29b5c9",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b019053e7d97eede6278772dbcc68b39",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Engineer - Data Engineering - Tableau",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.ccecfd7fdebda957f4",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b019053e7d97eede6278772dbcc68b39",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "bbbeabafc62baebdcc03759012d9a21f",
      "title": "Lab Engineer",
      "employer_name": "Enphase Energy",
      "employer_slug": "enphase-energy",
      "location_text": "Location not specified",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.jobvite.com/enphase-energy/job/ohk7zfw1",
      "apply_url_verified": false,
      "ats": "jobvite",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lab Engineer Lab Engineer",
      "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,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Energy",
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.069bccba131866b06b",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bbbeabafc62baebdcc03759012d9a21f",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lab Engineer Lab Engineer",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bbbeabafc62baebdcc03759012d9a21f:description:lab",
          "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.role_function.c6e70ed4fd3086740a",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bbbeabafc62baebdcc03759012d9a21f",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bbbeabafc62baebdcc03759012d9a21f:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.9bd8a8ab04df58c413",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bbbeabafc62baebdcc03759012d9a21f",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Lab Engineer",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bbbeabafc62baebdcc03759012d9a21f:title:lab",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.7436b3c7ff664df520",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bbbeabafc62baebdcc03759012d9a21f",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:3a859dc3afe1f9d8d95efc1c",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.role_function.7e189b0d1b7c4ddfd6",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bbbeabafc62baebdcc03759012d9a21f",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.cab730f947a6455947",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bbbeabafc62baebdcc03759012d9a21f",
          "signal_type": "query_match",
          "display_text": "Title: \"lab\"",
          "tooltip": "Title contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Lab Engineer",
          "matched_input": "lab",
          "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
          }
        }
      ]
    },
    {
      "id": "bfc28e6db6f70d6ee783e9f385794944",
      "title": "Senior Engineer - Data Engineering",
      "employer_name": "Sysco",
      "employer_slug": "sysco",
      "location_text": "Sysco LABS - Sri Lanka",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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": "2026-06-04T00:00:00.000Z",
      "apply_url": "https://sysco.wd5.myworkdayjobs.com/syscocareers/job/Sysco-LABS-----Sri-Lanka/Senior-Engineer---Data-Engineering_R249563",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Engineer - Data Engineering Sysco LABS - Sri Lanka posted: Posted 8 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": 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.description_excerpt.54a61c8105cd53583a",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bfc28e6db6f70d6ee783e9f385794944",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Engineer - Data Engineering Sysco LABS - Sri Lanka posted: Posted 8 Days Ago",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bfc28e6db6f70d6ee783e9f385794944:description:lab",
          "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.e085aa92467de86d26",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bfc28e6db6f70d6ee783e9f385794944",
          "signal_type": "query_match",
          "display_text": "Description: \"data\"",
          "tooltip": "Description matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Engineer - Data Engineering Sysco LABS - Sri Lanka posted: Posted 8 Days Ago",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bfc28e6db6f70d6ee783e9f385794944:description:data",
          "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.8e57789e6f4967f5e6",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bfc28e6db6f70d6ee783e9f385794944",
          "signal_type": "query_match",
          "display_text": "Location: \"lab\"",
          "tooltip": "Location matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Sysco LABS - Sri Lanka",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bfc28e6db6f70d6ee783e9f385794944:location:lab",
          "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.role_function.8df20f7c8e4e391ca2",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bfc28e6db6f70d6ee783e9f385794944",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bfc28e6db6f70d6ee783e9f385794944:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.1743c5c2a3b90bc131",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bfc28e6db6f70d6ee783e9f385794944",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Engineer - Data Engineering",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:bfc28e6db6f70d6ee783e9f385794944:title:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.c352e7b92d5a3774b7",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bfc28e6db6f70d6ee783e9f385794944",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Senior Engineer - Data Engineering",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:57d6c4c5954544c8564b1716",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.700a37a23a999c3e17",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bfc28e6db6f70d6ee783e9f385794944",
          "signal_type": "query_match",
          "display_text": "Location: \"lab\"",
          "tooltip": "Location contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Sysco LABS - Sri Lanka",
          "matched_input": "lab",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.057284f835ec677553",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bfc28e6db6f70d6ee783e9f385794944",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Engineer - Data Engineering",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.fdae0edb5de7af9733",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "bfc28e6db6f70d6ee783e9f385794944",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "b9cf0a1c746a2907268d08749fc5ffbb",
      "title": "Engineer - Data Engineering",
      "employer_name": "Sysco",
      "employer_slug": "sysco",
      "location_text": "Sysco LABS - Sri Lanka",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-22T00:00:00.000Z",
      "apply_url": "https://sysco.wd5.myworkdayjobs.com/syscocareers/job/Sysco-LABS-----Sri-Lanka/Engineer---Data-Engineering_R249103",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Engineer - Data Engineering Sysco LABS - Sri Lanka posted: Posted 21 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": 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.description_excerpt.935071e97070f9ae4b",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b9cf0a1c746a2907268d08749fc5ffbb",
          "signal_type": "query_match",
          "display_text": "Description: \"lab\"",
          "tooltip": "Description matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Engineer - Data Engineering Sysco LABS - Sri Lanka posted: Posted 21 Days Ago",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:b9cf0a1c746a2907268d08749fc5ffbb:description:lab",
          "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.c18c603f2e12ecf551",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b9cf0a1c746a2907268d08749fc5ffbb",
          "signal_type": "query_match",
          "display_text": "Description: \"data\"",
          "tooltip": "Description matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Engineer - Data Engineering Sysco LABS - Sri Lanka posted: Posted 21 Days Ago",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:b9cf0a1c746a2907268d08749fc5ffbb:description:data",
          "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.ca69bbe032561a72d9",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b9cf0a1c746a2907268d08749fc5ffbb",
          "signal_type": "query_match",
          "display_text": "Location: \"lab\"",
          "tooltip": "Location matched \"lab\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Sysco LABS - Sri Lanka",
          "matched_input": "lab",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:b9cf0a1c746a2907268d08749fc5ffbb:location:lab",
          "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.role_function.6ae7020203e3b4c1f1",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b9cf0a1c746a2907268d08749fc5ffbb",
          "signal_type": "query_match",
          "display_text": "Role: \"data\"",
          "tooltip": "Role matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:b9cf0a1c746a2907268d08749fc5ffbb:role-function:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.777242e3771de0c131",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b9cf0a1c746a2907268d08749fc5ffbb",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title matched \"data\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Engineer - Data Engineering",
          "matched_input": "data",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_be6350eb92516f00bc20:b9cf0a1c746a2907268d08749fc5ffbb:title:data",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.8115402f6dbc8a6514",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b9cf0a1c746a2907268d08749fc5ffbb",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Engineer - Data Engineering",
          "matched_input": "domino data lab",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:7094c9a22d88dabbfc3a9b8f",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.e2de13cfea21f0ab4b",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b9cf0a1c746a2907268d08749fc5ffbb",
          "signal_type": "query_match",
          "display_text": "Location: \"lab\"",
          "tooltip": "Location contains \"lab\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Sysco LABS - Sri Lanka",
          "matched_input": "lab",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.a1adddb6bd182bbee3",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b9cf0a1c746a2907268d08749fc5ffbb",
          "signal_type": "query_match",
          "display_text": "Title: \"data\"",
          "tooltip": "Title contains \"data\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Engineer - Data Engineering",
          "matched_input": "data",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.9b482e1f0d0a746e6a",
          "query_id": "gq_be6350eb92516f00bc20",
          "job_id": "b9cf0a1c746a2907268d08749fc5ffbb",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    }
  ],
  "total": 30,
  "page": 1,
  "per_page": 24,
  "applied_filters": {
    "q": "Domino Data Lab",
    "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": [
      "domino",
      "data",
      "lab"
    ],
    "active_filter_keys": [],
    "visible_signal_limit": 3,
    "visible_trust_limit": 2
  },
  "event_context": null
}