{ "results": [ { "id": "3eb971da43e73981c4d0188e4a5da901", "title": "Coordinator, Administration Support (m/f/x)", "employer_name": "Mondelez International", "employer_slug": "mondelez-international", "location_text": "Sofia, Bulgaria", "country": "BG", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-21T00:00:00.000Z", "apply_url": "https://mdlz.wd3.myworkdayjobs.com/External/job/Sofia-Bulgaria/Coordinator--Administration-Support--m-f-x-_R-168190-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Coordinator, Administration Support (m/f/x) Sofia, Bulgaria posted: Posted 22 Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1103982/000162828026005345/mdlz-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1103982/000162828026005345/mdlz-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.d0f7a082a5e0d6a7fc", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "3eb971da43e73981c4d0188e4a5da901", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "other", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:3eb971da43e73981c4d0188e4a5da901:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1103982/000162828026005345/mdlz-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1103982/000162828026005345/mdlz-20251231.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://mdlz.wd3.myworkdayjobs.com/External/job/Sofia-Bulgaria/Coordinator--Administration-Support--m-f-x-_R-168190-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null } } }, { "id": "b76a25c71d0340cda411e45ca3fd0eec", "title": "Computer Scientist - II ( Data Engineering )", "employer_name": "Adobe Inc.", "employer_slug": "adobe", "location_text": "Noida", "country": "IN", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-05T00:00:00.000Z", "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist---II---Data-Engineering--_R169005-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Computer Scientist - II ( Data Engineering ) Noida posted: Posted 7 Days Ago", "parental_leave_weeks": 16, "non_birth_parent_leave_weeks": 16, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 90, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "parental_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.3ce79d0b8382cf1512", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "b76a25c71d0340cda411e45ca3fd0eec", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:b76a25c71d0340cda411e45ca3fd0eec:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist---II---Data-Engineering--_R169005-1", "source_values": [ "https://benefits.adobe.com/us/time-off/leaves-of-absence" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist---II---Data-Engineering--_R169005-1", "source_values": [ "https://benefits.adobe.com/us/time-off/leaves-of-absence" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist---II---Data-Engineering--_R169005-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist---II---Data-Engineering--_R169005-1", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "a648f8bcbd7d1948d958b14326208ddf", "title": "Career Professionals Talent Network (opens in new window)", "employer_name": "Citigroup", "employer_slug": "citigroup", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-04T16:41:40.000Z", "apply_url": "https://citi.eightfold.ai/careers/join?jtn_form_id=jtn-general", "apply_url_verified": true, "ats": "eightfold", "url_last_checked_alive": "2026-10-05T08:27:42.096Z", "removed_at": null, "description_excerpt": "Career Professionals Talent Network (opens in new window) Job Opportunities at Citi Match Me Resume Match Talent Networks Early Careers Talent Network Career Professionals Talent Network Careers Careers Match Me Resume Match Talent Networks Early Careers Talent Network Career Professionals Talent Network {\"themeOptions\": {\"customTheme\": {\"varTheme\": {\"pcsx-theme-linear-gradient-start\": \"#255be3\", \"pcsx-theme-linear-gradient-end\": \"var(--primary-color-50)\", \"pcsx-secondary-background-color\": \"var(--primary-color-10)\", \"pcsx-match-bar-border\": \"1px solid var(--primary-color)\", \"primary-color\": \"#255be3\", \"primary-color-upload\": \"#0F1632\", \"primary-color-100\": \"#255BE3\", \"primary-color-90\": \"#3B6BE6\", \"primary-color-80\": \"#517CE9\", \"primary-color-70\": \"#255BE3\", \"primary-color-60\": \"#7C9DEE\", \"primary-color-50\": \"#92ADF1\", \"primary-color-40\": \"#A8BDF4\", \"primary-color-30\": \"#BECEF7\", \"primary-color-20\": \"#D3DEF9\", \"primary-color-10\": \"#E9EFFC\", \"border-radius-xl\": \"4px\", \"pcsx-hero-image-height\": \"288px\", \"pcsx-hero-image-overlay-text-font-size\": \"28px\", \"accent-color\": \"var(--primary-color)\", \"accent-color-10\": \"var(--primary-color-10)\", \"accent-color-20\": \"var(--primary-color-20)\", \"accent-color-30\": \"var(--primary-color-30)\", \"accent-color-40\": \"var(--primary-color-40)\", \"accent-color-50\": \"var(--primary-color-50)\", \"accent-color-60\": \"var(--primary-color-60)\", \"accent-color-70\": \"var(--primary-color-70)\", \"accent-color-80\": \"var(--primary-color-80)\", \"accent-color-90\": \"var(--primary-color-90)\", \"accent-color-100\": \"var(--primary-color-100)\", \"button-default-text-color\": \"var(--primary-color)\", \"button-default-background-color\": \"#ffffff\", \"button-default-border-color\": \"var(--primary-color)\", \"button-default-hover-text-color\": \"var(--primary-color)\", \"button-default-hover-background-color\": \"#ffffff\", \"button-default-hover-border-color\": \"var(--primary-color)\", \"button-default-active-text-color\": \"var(--primary-color)\", \"button-default-active-background-color\": \"#ffffff\", \"button-default-active-border-color\": \"var(--primary-color)\", \"button-primary-text-color\": \"#ffffff\", \"button-primary-background-color\": \"var(--primary-color)\", \"button-primary-background-color-upload\": \"var(--primary-color-upload)\", \"button-primary-border-color\": \"var(--primary-color)\", \"button-primary-hover-text-color\": \"#ffffff\", \"button-primary-hover-background-color\": \"var(--primary-color-80)\", \"button-primary-hover-border-color\": \"var(--primary-color-80)\", \"button-secondary-text-color\": \"var(--primary-color)\", \"button-secondary-border-color\": \"var(--primary-color)\", \"button-secondary-background-color\": \"#ffffff\", \"button-secondary-hover-background-color\": \"var(--primary-color-20)\", \"button-secondary-hover-border-color\": \"var(--primary-color-20)\", \"tab-pill-active-background\": \"var(--primary-color)\", \"tab-pill-active-label\": \"var(--text-inverse-color)\", \"perks-and-benefits-icon-color\": \"var(--primary-color)\", \"pcsx-jobcard-title-text-color\": \"var(--primary-color)\", \"pcsx-jobcard-flag-text-color\": \"#6D6D6D\", \"text-primary-color\": \"var(--primary-color)\", \"pcsx-theme-linear-gradient\": \"#0f1632\", \"tab-label\": \"#6d6d6d\", \"tab-active-label\": \"#255be3\", \"tab-indicator-color\": \"#255be3\", \"text-secondary-color\": \"#000000\", \"pcsx-hero-image-overlay-font-weight\": \"400\"}}}, \"domain\": \"citi.com\", \"configPath\": \"PCS>\", \"updatePath\": \"PCS>\"} {\"domain\": \"citi.com\", \"user\": \"\", \"isWillingToRelocate\": false, \"isUserAuthenticated\": false, \"isUserETXCandidate\": false, \"isDomainETX\": false, \"isDomainVeteran\": false, \"signUpConfig\": {}, \"getHelpButton\": {}, \"isCareerPlannerEnabled\": false, \"enableRememberMeOption\": false, \"isMyApplicationsEnabled\": false, \"showVeteranEmployerSignUp\": false, \"enableUserPreferenceSelection\": false, \"isUserPreferenceApplied\": false, \"candidate\": {\"enc_id\": 0, \"fullname\": \"\", \"firstname\": \"\", \"lastname\": \"\", \"skills\": [], \"email\": \"\", \"phone\": \"\", \"location\": \"\", \"location_detail\": {}, \"filename\": null, \"starred_positions\": [], \"resumeUrl\": \"\", \"onboardingCompleted\": false, \"isUserInPcsIjp\": false, \"linkedinUrl\": \"\"}, \"branding\": {\"enableTalentNetwork\": 1, \"showJobId\": 1, \"show_wizard\": 1, \"hideSearchPanelHeader\": true, \"job_insights_display\":", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/831001/000083100126000011/c-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/831001/000083100126000011/c-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "hr", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.64abe497e1a0df390a", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "a648f8bcbd7d1948d958b14326208ddf", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description matched \"linear\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Career Professionals Talent Network (opens in new window) Job Opportunities at Citi Match Me Resume Match Talent Networks Early Careers Talent Network Career Professionals Talent Network Careers Careers Match Me Resume Match Talent Networks Early Careers Talent Network Career Professionals Talent Network {\"themeOptions\": {\"customTheme\": {\"varTheme\": {\"pcsx-theme-linear-gradient-start\": \"#255be3\", \"pcsx-theme-linear-gradient-end\": \"var(--primary-color-50)\", \"pcsx-secondary-background-color\": \"var(--primary-color-10)\", \"pcsx-match-bar-border\": \"1px solid var(--primary-color)\", \"primary-color\": \"#255be3\", \"primary-color-upload\": \"#0F1632\", \"primary-color-100\": \"#255BE3\", \"primary-color-90\": \"#3B6BE6\", \"primary-color-80\": \"#517CE9\", \"primary-color-70\": \"#255BE3\", \"primary-color-60\": \"#7C9DEE\", \"primary-color-50\": \"#92ADF1\", \"primary-color-40\": \"#A8BDF4\", \"primary-color-30\": \"#BECEF7\", \"primary-color-20\": \"#D3DEF9\", \"primary-color-10\": \"#E9EFFC\", \"border-radius-xl\": \"4px\", \"pcsx-hero-image-height\": \"288px\", \"pcsx-hero-image-overlay-text-font-size\": \"28px\", \"accent-color\": \"var(--primary-color)\", \"accent-color-10\": \"var(--primary-color-10)\", \"accent-color-20\": \"var(--primary-color-20)\", \"accent-color-30\": \"var(--primary-color-30)\", \"accent-color-40\": \"var(--primary-color-40)\", \"accent-color-50\": \"var(--primary-color-50)\", \"accent-color-60\": \"var(--primary-color-60)\", \"accent-color-70\": \"var(--primary-color-70)\", \"accent-color-80\": \"var(--primary-color-80)\", \"accent-color-90\": \"var(--primary-color-90)\", \"accent-color-100\": \"var(--primary-color-100)\", \"button-default-text-color\": \"var(--primary-color)\", \"button-default-background-color\": \"#ffffff\", \"button-default-border-color\": \"var(--primary-color)\", \"button-default-hover-text-color\": \"var(--primary-color)\", \"button-default-hover-background-color\": \"#ffffff\", \"button-default-hover-border-color\": \"var(--primary-color)\", \"button-default-active-text-color\": \"var(--primary-color)\", \"button-default-active-background-color\": \"#ffffff\", \"button-default-active-border-color\": \"var(--primary-color)\", \"button-primary-text-color\": \"#ffffff\", \"button-primary-background-color\": \"var(--primary-color)\", \"button-primary-background-color-upload\": \"var(--primary-color-upload)\", \"button-primary-border-color\": \"var(--primary-color)\", \"button-primary-hover-text-color\": \"#ffffff\", \"button-primary-hover-background-color\": \"var(--primary-color-80)\", \"button-primary-hover-border-color\": \"var(--primary-color-80)\", \"button-secondary-text-color\": \"var(--primary-color)\", \"button-secondary-border-color\": \"var(--primary-color)\", \"button-secondary-background-color\": \"#ffffff\", \"button-secondary-hover-background-color\": \"var(--primary-color-20)\", \"button-secondary-hover-border-color\": \"var(--primary-color-20)\", \"tab-pill-active-background\": \"var(--primary-color)\", \"tab-pill-active-label\": \"var(--text-inverse-color)\", \"perks-and-benefits-icon-color\": \"var(--primary-color)\", \"pcsx-jobcard-title-text-color\": \"var(--primary-color)\", \"pcsx-jobcard-flag-text-color\": \"#6D6D6D\", \"text-primary-color\": \"var(--primary-color)\", \"pcsx-theme-linear-gradient\": \"#0f1632\", \"tab-label\": \"#6d6d6d\", \"tab-active-label\": \"#255be3\", \"tab-indicator-color\": \"#255be3\", \"text-secondary-color\": \"#000000\", \"pcsx-hero-image-overlay-font-weight\": \"400\"}}}, \"domain\": \"citi.com\", \"configPath\": \"PCS>\", \"updatePath\": \"PCS>\"} {\"domain\": \"citi.com\", \"user\": \"\", \"isWillingToRelocate\": false, \"isUserAuthenticated\": false, \"isUserETXCandidate\": false, \"isDomainETX\": false, \"isDomainVeteran\": false, \"signUpConfig\": {}, \"getHelpButton\": {}, \"isCareerPlannerEnabled\": false, \"enableRememberMeOption\": false, \"isMyApplicationsEnabled\": false, \"showVeteranEmployerSignUp\": false, \"enableUserPreferenceSelection\": false, \"isUserPreferenceApplied\": false, \"candidate\": {\"enc_id\": 0, \"fullname\": \"\", \"firstname\": \"\", \"lastname\": \"\", \"skills\": [], \"email\": \"\", \"phone\": \"\", \"location\": \"\", \"location_detail\": {}, \"filename\": null, \"starred_positions\": [], \"resumeUrl\": \"\", \"onboardingCompleted\": false, \"isUserInPcsIjp\": false, \"linkedinUrl\": \"\"}, \"branding\": {\"enableTalentNetwork\": 1, \"showJobId\": 1, \"show_wizard\": 1, \"hideSearchPanelHeader\": true, \"job_insights_display\":", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:a648f8bcbd7d1948d958b14326208ddf:description:linear", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.6f662068c36c997e19", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "a648f8bcbd7d1948d958b14326208ddf", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description contains \"linear\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Career Professionals Talent Network (opens in new window) Job Opportunities at Citi Match Me Resume Match Talent Networks Early Careers Talent Network Career Professionals Talent Network Careers Careers Match Me Resume Match Talent Networks Early Careers Talent Network Career Professionals Talent Network {\"themeOptions\": {\"customTheme\": {\"varTheme\": {\"pcsx-theme-linear-gradient-start\": \"#255be3\", \"pcsx-theme-linear-gradient-end\": \"var(--primary-color-50)\", \"pcsx-secondary-background-color\": \"var(--primary-color-10)\", \"pcsx-match-bar-border\": \"1px solid var(--primary-color)\", \"primary-color\": \"#255be3\", \"primary-color-upload\": \"#0F1632\", \"primary-color-100\": \"#255BE3\", \"primary-color-90\": \"#3B6BE6\", \"primary-color-80\": \"#517CE9\", \"primary-color-70\": \"#255BE3\", \"primary-color-60\": \"#7C9DEE\", \"primary-color-50\": \"#92ADF1\", \"primary-color-40\": \"#A8BDF4\", \"primary-color-30\": \"#BECEF7\", \"primary-color-20\": \"#D3DEF9\", \"primary-color-10\": \"#E9EFFC\", \"border-radius-xl\": \"4px\", \"pcsx-hero-image-height\": \"288px\", \"pcsx-hero-image-overlay-text-font-size\": \"28px\", \"accent-color\": \"var(--primary-color)\", \"accent-color-10\": \"var(--primary-color-10)\", \"accent-color-20\": \"var(--primary-color-20)\", \"accent-color-30\": \"var(--primary-color-30)\", \"accent-color-40\": \"var(--primary-color-40)\", \"accent-color-50\": \"var(--primary-color-50)\", \"accent-color-60\": \"var(--primary-color-60)\", \"accent-color-70\": \"var(--primary-color-70)\", \"accent-color-80\": \"var(--primary-color-80)\", \"accent-color-90\": \"var(--primary-color-90)\", \"accent-color-100\": \"var(--primary-color-100)\", \"button-default-text-color\": \"var(--primary-color)\", \"button-default-background-color\": \"#ffffff\", \"button-default-border-color\": \"var(--primary-color)\", \"button-default-hover-text-color\": \"var(--primary-color)\", \"button-default-hover-background-color\": \"#ffffff\", \"button-default-hover-border-color\": \"var(--primary-color)\", \"button-default-active-text-color\": \"var(--primary-color)\", \"button-default-active-background-color\": \"#ffffff\", \"button-default-active-border-color\": \"var(--primary-color)\", \"button-primary-text-color\": \"#ffffff\", \"button-primary-background-color\": \"var(--primary-color)\", \"button-primary-background-color-upload\": \"var(--primary-color-upload)\", \"button-primary-border-color\": \"var(--primary-color)\", \"button-primary-hover-text-color\": \"#ffffff\", \"button-primary-hover-background-color\": \"var(--primary-color-80)\", \"button-primary-hover-border-color\": \"var(--primary-color-80)\", \"button-secondary-text-color\": \"var(--primary-color)\", \"button-secondary-border-color\": \"var(--primary-color)\", \"button-secondary-background-color\": \"#ffffff\", \"button-secondary-hover-background-color\": \"var(--primary-color-20)\", \"button-secondary-hover-border-color\": \"var(--primary-color-20)\", \"tab-pill-active-background\": \"var(--primary-color)\", \"tab-pill-active-label\": \"var(--text-inverse-color)\", \"perks-and-benefits-icon-color\": \"var(--primary-color)\", \"pcsx-jobcard-title-text-color\": \"var(--primary-color)\", \"pcsx-jobcard-flag-text-color\": \"#6D6D6D\", \"text-primary-color\": \"var(--primary-color)\", \"pcsx-theme-linear-gradient\": \"#0f1632\", \"tab-label\": \"#6d6d6d\", \"tab-active-label\": \"#255be3\", \"tab-indicator-color\": \"#255be3\", \"text-secondary-color\": \"#000000\", \"pcsx-hero-image-overlay-font-weight\": \"400\"}}}, \"domain\": \"citi.com\", \"configPath\": \"PCS>\", \"updatePath\": \"PCS>\"} {\"domain\": \"citi.com\", \"user\": \"\", \"isWillingToRelocate\": false, \"isUserAuthenticated\": false, \"isUserETXCandidate\": false, \"isDomainETX\": false, \"isDomainVeteran\": false, \"signUpConfig\": {}, \"getHelpButton\": {}, \"isCareerPlannerEnabled\": false, \"enableRememberMeOption\": false, \"isMyApplicationsEnabled\": false, \"showVeteranEmployerSignUp\": false, \"enableUserPreferenceSelection\": false, \"isUserPreferenceApplied\": false, \"candidate\": {\"enc_id\": 0, \"fullname\": \"\", \"firstname\": \"\", \"lastname\": \"\", \"skills\": [], \"email\": \"\", \"phone\": \"\", \"location\": \"\", \"location_detail\": {}, \"filename\": null, \"starred_positions\": [], \"resumeUrl\": \"\", \"onboardingCompleted\": false, \"isUserInPcsIjp\": false, \"linkedinUrl\": \"\"}, \"branding\": {\"enableTalentNetwork\": 1, \"showJobId\": 1, \"show_wizard\": 1, \"hideSearchPanelHeader\": true, \"job_insights_display\":", "matched_input": "linear", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.trust.apply.17ea4190ccdb155124", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "a648f8bcbd7d1948d958b14326208ddf", "signal_type": "trust_signal", "display_text": "Apply link reachable when checked", "tooltip": "The apply URL was reachable during the last recorded crawl-time liveness check; this is not a live guarantee.", "source_binding": "row_trust_evidence", "source_field": "apply_url_verified", "source_value": true, "matched_input": true, "derivation_source": "verified_source_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "trust_source_exists", "counts_for_non_trivial_query": false, "truth_verified": true, "exact": true, "priority": 10, "mobile_priority": 11, "ui": { "icon": "ExternalLink", "tone": "verified", "href": null }, "evidence_source": { "source_url": "https://citi.eightfold.ai/careers/join?jtn_form_id=jtn-general", "source_label": "Apply link", "source_date": "2026-10-05T08:27:42.096Z" } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": "2026-10-05T08:27:42.096Z", "apply_url_verification_status": "reachable_when_last_checked", "apply_url_verification_label": "Reachable when checked at 2026-10-05T08:27:42.096Z", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/831001/000083100126000011/c-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/831001/000083100126000011/c-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://citi.eightfold.ai/careers/join?jtn_form_id=jtn-general", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://citi.eightfold.ai/careers/join?jtn_form_id=jtn-general", "source_values": [ "rule" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "ca153a07a6f14708692d68eb29471791", "title": "Early Careers Talent Network (opens in new window)", "employer_name": "Citigroup", "employer_slug": "citigroup", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-04T16:41:40.000Z", "apply_url": "https://citi.eightfold.ai/careers/join?jtn_form_id=jtn-early-career", "apply_url_verified": true, "ats": "eightfold", "url_last_checked_alive": "2026-10-05T08:27:42.096Z", "removed_at": null, "description_excerpt": "Early Careers Talent Network (opens in new window) Job Opportunities at Citi Match Me Resume Match Talent Networks Early Careers Talent Network Career Professionals Talent Network Careers Careers Match Me Resume Match Talent Networks Early Careers Talent Network Career Professionals Talent Network {\"themeOptions\": {\"customTheme\": {\"varTheme\": {\"pcsx-theme-linear-gradient-start\": \"#255be3\", \"pcsx-theme-linear-gradient-end\": \"var(--primary-color-50)\", \"pcsx-secondary-background-color\": \"var(--primary-color-10)\", \"pcsx-match-bar-border\": \"1px solid var(--primary-color)\", \"primary-color\": \"#255be3\", \"primary-color-upload\": \"#0F1632\", \"primary-color-100\": \"#255BE3\", \"primary-color-90\": \"#3B6BE6\", \"primary-color-80\": \"#517CE9\", \"primary-color-70\": \"#255BE3\", \"primary-color-60\": \"#7C9DEE\", \"primary-color-50\": \"#92ADF1\", \"primary-color-40\": \"#A8BDF4\", \"primary-color-30\": \"#BECEF7\", \"primary-color-20\": \"#D3DEF9\", \"primary-color-10\": \"#E9EFFC\", \"border-radius-xl\": \"4px\", \"pcsx-hero-image-height\": \"288px\", \"pcsx-hero-image-overlay-text-font-size\": \"28px\", \"accent-color\": \"var(--primary-color)\", \"accent-color-10\": \"var(--primary-color-10)\", \"accent-color-20\": \"var(--primary-color-20)\", \"accent-color-30\": \"var(--primary-color-30)\", \"accent-color-40\": \"var(--primary-color-40)\", \"accent-color-50\": \"var(--primary-color-50)\", \"accent-color-60\": \"var(--primary-color-60)\", \"accent-color-70\": \"var(--primary-color-70)\", \"accent-color-80\": \"var(--primary-color-80)\", \"accent-color-90\": \"var(--primary-color-90)\", \"accent-color-100\": \"var(--primary-color-100)\", \"button-default-text-color\": \"var(--primary-color)\", \"button-default-background-color\": \"#ffffff\", \"button-default-border-color\": \"var(--primary-color)\", \"button-default-hover-text-color\": \"var(--primary-color)\", \"button-default-hover-background-color\": \"#ffffff\", \"button-default-hover-border-color\": \"var(--primary-color)\", \"button-default-active-text-color\": \"var(--primary-color)\", \"button-default-active-background-color\": \"#ffffff\", \"button-default-active-border-color\": \"var(--primary-color)\", \"button-primary-text-color\": \"#ffffff\", \"button-primary-background-color\": \"var(--primary-color)\", \"button-primary-background-color-upload\": \"var(--primary-color-upload)\", \"button-primary-border-color\": \"var(--primary-color)\", \"button-primary-hover-text-color\": \"#ffffff\", \"button-primary-hover-background-color\": \"var(--primary-color-80)\", \"button-primary-hover-border-color\": \"var(--primary-color-80)\", \"button-secondary-text-color\": \"var(--primary-color)\", \"button-secondary-border-color\": \"var(--primary-color)\", \"button-secondary-background-color\": \"#ffffff\", \"button-secondary-hover-background-color\": \"var(--primary-color-20)\", \"button-secondary-hover-border-color\": \"var(--primary-color-20)\", \"tab-pill-active-background\": \"var(--primary-color)\", \"tab-pill-active-label\": \"var(--text-inverse-color)\", \"perks-and-benefits-icon-color\": \"var(--primary-color)\", \"pcsx-jobcard-title-text-color\": \"var(--primary-color)\", \"pcsx-jobcard-flag-text-color\": \"#6D6D6D\", \"text-primary-color\": \"var(--primary-color)\", \"pcsx-theme-linear-gradient\": \"#0f1632\", \"tab-label\": \"#6d6d6d\", \"tab-active-label\": \"#255be3\", \"tab-indicator-color\": \"#255be3\", \"text-secondary-color\": \"#000000\", \"pcsx-hero-image-overlay-font-weight\": \"400\"}}}, \"domain\": \"citi.com\", \"configPath\": \"PCS>\", \"updatePath\": \"PCS>\"} {\"domain\": \"citi.com\", \"user\": \"\", \"isWillingToRelocate\": false, \"isUserAuthenticated\": false, \"isUserETXCandidate\": false, \"isDomainETX\": false, \"isDomainVeteran\": false, \"signUpConfig\": {}, \"getHelpButton\": {}, \"isCareerPlannerEnabled\": false, \"enableRememberMeOption\": false, \"isMyApplicationsEnabled\": false, \"showVeteranEmployerSignUp\": false, \"enableUserPreferenceSelection\": false, \"isUserPreferenceApplied\": false, \"candidate\": {\"enc_id\": 0, \"fullname\": \"\", \"firstname\": \"\", \"lastname\": \"\", \"skills\": [], \"email\": \"\", \"phone\": \"\", \"location\": \"\", \"location_detail\": {}, \"filename\": null, \"starred_positions\": [], \"resumeUrl\": \"\", \"onboardingCompleted\": false, \"isUserInPcsIjp\": false, \"linkedinUrl\": \"\"}, \"branding\": {\"enableTalentNetwork\": 1, \"showJobId\": 1, \"show_wizard\": 1, \"hideSearchPanelHeader\": true, \"job_insights_display\":", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/831001/000083100126000011/c-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/831001/000083100126000011/c-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "hr", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.07f56554a6e53221cb", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "ca153a07a6f14708692d68eb29471791", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description matched \"linear\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Early Careers Talent Network (opens in new window) Job Opportunities at Citi Match Me Resume Match Talent Networks Early Careers Talent Network Career Professionals Talent Network Careers Careers Match Me Resume Match Talent Networks Early Careers Talent Network Career Professionals Talent Network {\"themeOptions\": {\"customTheme\": {\"varTheme\": {\"pcsx-theme-linear-gradient-start\": \"#255be3\", \"pcsx-theme-linear-gradient-end\": \"var(--primary-color-50)\", \"pcsx-secondary-background-color\": \"var(--primary-color-10)\", \"pcsx-match-bar-border\": \"1px solid var(--primary-color)\", \"primary-color\": \"#255be3\", \"primary-color-upload\": \"#0F1632\", \"primary-color-100\": \"#255BE3\", \"primary-color-90\": \"#3B6BE6\", \"primary-color-80\": \"#517CE9\", \"primary-color-70\": \"#255BE3\", \"primary-color-60\": \"#7C9DEE\", \"primary-color-50\": \"#92ADF1\", \"primary-color-40\": \"#A8BDF4\", \"primary-color-30\": \"#BECEF7\", \"primary-color-20\": \"#D3DEF9\", \"primary-color-10\": \"#E9EFFC\", \"border-radius-xl\": \"4px\", \"pcsx-hero-image-height\": \"288px\", \"pcsx-hero-image-overlay-text-font-size\": \"28px\", \"accent-color\": \"var(--primary-color)\", \"accent-color-10\": \"var(--primary-color-10)\", \"accent-color-20\": \"var(--primary-color-20)\", \"accent-color-30\": \"var(--primary-color-30)\", \"accent-color-40\": \"var(--primary-color-40)\", \"accent-color-50\": \"var(--primary-color-50)\", \"accent-color-60\": \"var(--primary-color-60)\", \"accent-color-70\": \"var(--primary-color-70)\", \"accent-color-80\": \"var(--primary-color-80)\", \"accent-color-90\": \"var(--primary-color-90)\", \"accent-color-100\": \"var(--primary-color-100)\", \"button-default-text-color\": \"var(--primary-color)\", \"button-default-background-color\": \"#ffffff\", \"button-default-border-color\": \"var(--primary-color)\", \"button-default-hover-text-color\": \"var(--primary-color)\", \"button-default-hover-background-color\": \"#ffffff\", \"button-default-hover-border-color\": \"var(--primary-color)\", \"button-default-active-text-color\": \"var(--primary-color)\", \"button-default-active-background-color\": \"#ffffff\", \"button-default-active-border-color\": \"var(--primary-color)\", \"button-primary-text-color\": \"#ffffff\", \"button-primary-background-color\": \"var(--primary-color)\", \"button-primary-background-color-upload\": \"var(--primary-color-upload)\", \"button-primary-border-color\": \"var(--primary-color)\", \"button-primary-hover-text-color\": \"#ffffff\", \"button-primary-hover-background-color\": \"var(--primary-color-80)\", \"button-primary-hover-border-color\": \"var(--primary-color-80)\", \"button-secondary-text-color\": \"var(--primary-color)\", \"button-secondary-border-color\": \"var(--primary-color)\", \"button-secondary-background-color\": \"#ffffff\", \"button-secondary-hover-background-color\": \"var(--primary-color-20)\", \"button-secondary-hover-border-color\": \"var(--primary-color-20)\", \"tab-pill-active-background\": \"var(--primary-color)\", \"tab-pill-active-label\": \"var(--text-inverse-color)\", \"perks-and-benefits-icon-color\": \"var(--primary-color)\", \"pcsx-jobcard-title-text-color\": \"var(--primary-color)\", \"pcsx-jobcard-flag-text-color\": \"#6D6D6D\", \"text-primary-color\": \"var(--primary-color)\", \"pcsx-theme-linear-gradient\": \"#0f1632\", \"tab-label\": \"#6d6d6d\", \"tab-active-label\": \"#255be3\", \"tab-indicator-color\": \"#255be3\", \"text-secondary-color\": \"#000000\", \"pcsx-hero-image-overlay-font-weight\": \"400\"}}}, \"domain\": \"citi.com\", \"configPath\": \"PCS>\", \"updatePath\": \"PCS>\"} {\"domain\": \"citi.com\", \"user\": \"\", \"isWillingToRelocate\": false, \"isUserAuthenticated\": false, \"isUserETXCandidate\": false, \"isDomainETX\": false, \"isDomainVeteran\": false, \"signUpConfig\": {}, \"getHelpButton\": {}, \"isCareerPlannerEnabled\": false, \"enableRememberMeOption\": false, \"isMyApplicationsEnabled\": false, \"showVeteranEmployerSignUp\": false, \"enableUserPreferenceSelection\": false, \"isUserPreferenceApplied\": false, \"candidate\": {\"enc_id\": 0, \"fullname\": \"\", \"firstname\": \"\", \"lastname\": \"\", \"skills\": [], \"email\": \"\", \"phone\": \"\", \"location\": \"\", \"location_detail\": {}, \"filename\": null, \"starred_positions\": [], \"resumeUrl\": \"\", \"onboardingCompleted\": false, \"isUserInPcsIjp\": false, \"linkedinUrl\": \"\"}, \"branding\": {\"enableTalentNetwork\": 1, \"showJobId\": 1, \"show_wizard\": 1, \"hideSearchPanelHeader\": true, \"job_insights_display\":", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:ca153a07a6f14708692d68eb29471791:description:linear", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.3c62a7ffaf264a0e19", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "ca153a07a6f14708692d68eb29471791", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description contains \"linear\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Early Careers Talent Network (opens in new window) Job Opportunities at Citi Match Me Resume Match Talent Networks Early Careers Talent Network Career Professionals Talent Network Careers Careers Match Me Resume Match Talent Networks Early Careers Talent Network Career Professionals Talent Network {\"themeOptions\": {\"customTheme\": {\"varTheme\": {\"pcsx-theme-linear-gradient-start\": \"#255be3\", \"pcsx-theme-linear-gradient-end\": \"var(--primary-color-50)\", \"pcsx-secondary-background-color\": \"var(--primary-color-10)\", \"pcsx-match-bar-border\": \"1px solid var(--primary-color)\", \"primary-color\": \"#255be3\", \"primary-color-upload\": \"#0F1632\", \"primary-color-100\": \"#255BE3\", \"primary-color-90\": \"#3B6BE6\", \"primary-color-80\": \"#517CE9\", \"primary-color-70\": \"#255BE3\", \"primary-color-60\": \"#7C9DEE\", \"primary-color-50\": \"#92ADF1\", \"primary-color-40\": \"#A8BDF4\", \"primary-color-30\": \"#BECEF7\", \"primary-color-20\": \"#D3DEF9\", \"primary-color-10\": \"#E9EFFC\", \"border-radius-xl\": \"4px\", \"pcsx-hero-image-height\": \"288px\", \"pcsx-hero-image-overlay-text-font-size\": \"28px\", \"accent-color\": \"var(--primary-color)\", \"accent-color-10\": \"var(--primary-color-10)\", \"accent-color-20\": \"var(--primary-color-20)\", \"accent-color-30\": \"var(--primary-color-30)\", \"accent-color-40\": \"var(--primary-color-40)\", \"accent-color-50\": \"var(--primary-color-50)\", \"accent-color-60\": \"var(--primary-color-60)\", \"accent-color-70\": \"var(--primary-color-70)\", \"accent-color-80\": \"var(--primary-color-80)\", \"accent-color-90\": \"var(--primary-color-90)\", \"accent-color-100\": \"var(--primary-color-100)\", \"button-default-text-color\": \"var(--primary-color)\", \"button-default-background-color\": \"#ffffff\", \"button-default-border-color\": \"var(--primary-color)\", \"button-default-hover-text-color\": \"var(--primary-color)\", \"button-default-hover-background-color\": \"#ffffff\", \"button-default-hover-border-color\": \"var(--primary-color)\", \"button-default-active-text-color\": \"var(--primary-color)\", \"button-default-active-background-color\": \"#ffffff\", \"button-default-active-border-color\": \"var(--primary-color)\", \"button-primary-text-color\": \"#ffffff\", \"button-primary-background-color\": \"var(--primary-color)\", \"button-primary-background-color-upload\": \"var(--primary-color-upload)\", \"button-primary-border-color\": \"var(--primary-color)\", \"button-primary-hover-text-color\": \"#ffffff\", \"button-primary-hover-background-color\": \"var(--primary-color-80)\", \"button-primary-hover-border-color\": \"var(--primary-color-80)\", \"button-secondary-text-color\": \"var(--primary-color)\", \"button-secondary-border-color\": \"var(--primary-color)\", \"button-secondary-background-color\": \"#ffffff\", \"button-secondary-hover-background-color\": \"var(--primary-color-20)\", \"button-secondary-hover-border-color\": \"var(--primary-color-20)\", \"tab-pill-active-background\": \"var(--primary-color)\", \"tab-pill-active-label\": \"var(--text-inverse-color)\", \"perks-and-benefits-icon-color\": \"var(--primary-color)\", \"pcsx-jobcard-title-text-color\": \"var(--primary-color)\", \"pcsx-jobcard-flag-text-color\": \"#6D6D6D\", \"text-primary-color\": \"var(--primary-color)\", \"pcsx-theme-linear-gradient\": \"#0f1632\", \"tab-label\": \"#6d6d6d\", \"tab-active-label\": \"#255be3\", \"tab-indicator-color\": \"#255be3\", \"text-secondary-color\": \"#000000\", \"pcsx-hero-image-overlay-font-weight\": \"400\"}}}, \"domain\": \"citi.com\", \"configPath\": \"PCS>\", \"updatePath\": \"PCS>\"} {\"domain\": \"citi.com\", \"user\": \"\", \"isWillingToRelocate\": false, \"isUserAuthenticated\": false, \"isUserETXCandidate\": false, \"isDomainETX\": false, \"isDomainVeteran\": false, \"signUpConfig\": {}, \"getHelpButton\": {}, \"isCareerPlannerEnabled\": false, \"enableRememberMeOption\": false, \"isMyApplicationsEnabled\": false, \"showVeteranEmployerSignUp\": false, \"enableUserPreferenceSelection\": false, \"isUserPreferenceApplied\": false, \"candidate\": {\"enc_id\": 0, \"fullname\": \"\", \"firstname\": \"\", \"lastname\": \"\", \"skills\": [], \"email\": \"\", \"phone\": \"\", \"location\": \"\", \"location_detail\": {}, \"filename\": null, \"starred_positions\": [], \"resumeUrl\": \"\", \"onboardingCompleted\": false, \"isUserInPcsIjp\": false, \"linkedinUrl\": \"\"}, \"branding\": {\"enableTalentNetwork\": 1, \"showJobId\": 1, \"show_wizard\": 1, \"hideSearchPanelHeader\": true, \"job_insights_display\":", "matched_input": "linear", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.trust.apply.a63dd7b0fad2676cc4", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "ca153a07a6f14708692d68eb29471791", "signal_type": "trust_signal", "display_text": "Apply link reachable when checked", "tooltip": "The apply URL was reachable during the last recorded crawl-time liveness check; this is not a live guarantee.", "source_binding": "row_trust_evidence", "source_field": "apply_url_verified", "source_value": true, "matched_input": true, "derivation_source": "verified_source_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "trust_source_exists", "counts_for_non_trivial_query": false, "truth_verified": true, "exact": true, "priority": 10, "mobile_priority": 11, "ui": { "icon": "ExternalLink", "tone": "verified", "href": null }, "evidence_source": { "source_url": "https://citi.eightfold.ai/careers/join?jtn_form_id=jtn-early-career", "source_label": "Apply link", "source_date": "2026-10-05T08:27:42.096Z" } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": "2026-10-05T08:27:42.096Z", "apply_url_verification_status": "reachable_when_last_checked", "apply_url_verification_label": "Reachable when checked at 2026-10-05T08:27:42.096Z", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/831001/000083100126000011/c-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/831001/000083100126000011/c-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://citi.eightfold.ai/careers/join?jtn_form_id=jtn-early-career", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://citi.eightfold.ai/careers/join?jtn_form_id=jtn-early-career", "source_values": [ "rule" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "cbb23655b5b81dd15fa0a6343d5d5a88", "title": "Senior Programmer - Manager, Statistical Programming", "employer_name": "Bristol Myers Squibb", "employer_slug": "bristol-myers-squibb", "location_text": "Warsaw - PL", "country": "PL", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://bristolmyerssquibb.wd5.myworkdayjobs.com/BMS/job/Warsaw---PL/Manager--Statistical-Programming_R1597354", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Programmer - Manager, Statistical Programming Warsaw - PL posted: Posted 30+ Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/14272/000001427226000004/bmy-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/14272/000001427226000004/bmy-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.4fda3e636fadf9a3e3", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "cbb23655b5b81dd15fa0a6343d5d5a88", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "other", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:cbb23655b5b81dd15fa0a6343d5d5a88:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/14272/000001427226000004/bmy-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/14272/000001427226000004/bmy-20251231.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://bristolmyerssquibb.wd5.myworkdayjobs.com/BMS/job/Warsaw---PL/Manager--Statistical-Programming_R1597354", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "00ea79c7296fca6e9147782258bd0e53", "title": "Distributed Systems Engineer 5 - Ads Creative Infrastructure", "employer_name": "Netflix", "employer_slug": "netflix", "location_text": "Los Gatos,California,United States of America", "country": "US", "employment_type": "full_time", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 388000, "salary_max": 619000, "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": 388000, "base_salary_max": 619000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-03-16T00:00:00.000Z", "apply_url": "https://explore.jobs.netflix.net/careers/job/790314858259?microsite=netflix.com", "apply_url_verified": false, "ats": "eightfold", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Distributed Systems Engineer 5 - Ads Creative Infrastructure Los Gatos,California,United States of America At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. In April 2022, we introduced a new, more affordable, ad-supported tier for our customers, marking a significant milestone for Netflix. Our focus is now on expanding choices for consumers and providing advertisers with a premium TV brand experience that surpasses traditional linear formats. The challenge ahead involves scaling our ad tech to maximize its impact on our business. Our Team The Ads Platform Engineering teams build advertising systems and integrations that power the delivery of ads using our world-class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server-side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata. We deliver ads in a manner that's thoughtful of our member's viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them. The Creatives Team is building the robust, scalable backbone that powers all creative workflows across the Netflix Ads platform. The ability", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": 8, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1065280/000106528026000034/nflx-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "bonus_offered": { "field": "bonus_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "bonus_offered" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1065280/000106528026000034/nflx-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Media", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.e4c6dc268743077c4c", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "00ea79c7296fca6e9147782258bd0e53", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description matched \"linear\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Distributed Systems Engineer 5 - Ads Creative Infrastructure Los Gatos,California,United States of America At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. In April 2022, we introduced a new, more affordable, ad-supported tier for our customers, marking a significant milestone for Netflix. Our focus is now on expanding choices for consumers and providing advertisers with a premium TV brand experience that surpasses traditional linear formats. The challenge ahead involves scaling our ad tech to maximize its impact on our business. Our Team The Ads Platform Engineering teams build advertising systems and integrations that power the delivery of ads using our world-class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server-side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata. We deliver ads in a manner that's thoughtful of our member's viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them. The Creatives Team is building the robust, scalable backbone that powers all creative workflows across the Netflix Ads platform. The ability", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:00ea79c7296fca6e9147782258bd0e53:description:linear", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.71e5f89f0a80dad8d1", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "00ea79c7296fca6e9147782258bd0e53", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description contains \"linear\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Distributed Systems Engineer 5 - Ads Creative Infrastructure Los Gatos,California,United States of America At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. In April 2022, we introduced a new, more affordable, ad-supported tier for our customers, marking a significant milestone for Netflix. Our focus is now on expanding choices for consumers and providing advertisers with a premium TV brand experience that surpasses traditional linear formats. The challenge ahead involves scaling our ad tech to maximize its impact on our business. Our Team The Ads Platform Engineering teams build advertising systems and integrations that power the delivery of ads using our world-class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server-side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata. We deliver ads in a manner that's thoughtful of our member's viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them. The Creatives Team is building the robust, scalable backbone that powers all creative workflows across the Netflix Ads platform. The ability", "matched_input": "linear", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://explore.jobs.netflix.net/careers/job/790314858259?microsite=netflix.com", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://explore.jobs.netflix.net/careers/job/790314858259?microsite=netflix.com", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://explore.jobs.netflix.net/careers/job/790314858259?microsite=netflix.com", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1065280/000106528026000034/nflx-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1065280/000106528026000034/nflx-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://explore.jobs.netflix.net/careers/job/790314858259?microsite=netflix.com", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://explore.jobs.netflix.net/careers/job/790314858259?microsite=netflix.com", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://explore.jobs.netflix.net/careers/job/790314858259?microsite=netflix.com", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://explore.jobs.netflix.net/careers/job/790314858259?microsite=netflix.com", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-13T01:18:42.546Z" } } }, { "id": "8d153bd285100fd01d6899f691dd353f", "title": "Jr. Solutions Engineer", "employer_name": "Zenlayer", "employer_slug": "zenlayer", "location_text": "Diamond Bar, California", "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": "2026-06-10T03:52:15.000Z", "apply_url": "https://zenlayer.bamboohr.com/careers/360", "apply_url_verified": false, "ats": "bamboohr", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Jr. Solutions Engineer Diamond Bar, California Jr. Solutions 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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.7856c273ff541f21b7", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "8d153bd285100fd01d6899f691dd353f", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:8d153bd285100fd01d6899f691dd353f:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://zenlayer.bamboohr.com/careers/360", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://zenlayer.bamboohr.com/careers/360", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "011618b58147804855ddf3fee5d94428", "title": "Quality Inspector V", "employer_name": "General Atomics", "employer_slug": "general-atomics", "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": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25539&siteid=5313&PageType=JobDetails&jobid=5223926", "apply_url_verified": false, "ats": "brassring_kenexa", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Quality Inspector V General Atomics Electromagnetic Systems (GA-EMS) is a supplier of advanced electromagnetic systems, related power equipment and other high technology products for a variety of government and commercial applications. These include products such as the design and fabrication of linear motors, superconducting and conventional rotating motors, power inverters, high-energy capacitors, radiation monitoring systems, high-voltage direct current power distribution systems, and numerous other products. Under minimal supervision this position is responsible for inspecting a wide variety of Optical, Electrical and mechanical components and assemblies, tooling fixtures and material to ensure compliance with customer requirements, company specifications and quality requirements. Sets up, operates, inspects, tests, and adjusts new and reworked tools, dies, gauges, jigs and fixtures for conformance to engineering drawings and specifications. Maintains, processes, and compiles a variety of confidential and sensitive electronic and hard copy reports, records and statistics. Assignments are typically non-routine where judgment and assessment are required to resolve highly complex issues. May conduct inspections at customer or vendor sites. DUTIES AND RESPONSIBILITIES: - Inspects Optical, machined and electrical components, assemblies and materials to ensure compliance with appropriate regulatory guidelines (Military Standards, ASTM and ANSI, and ASME Code). Provides various electronic and hard copy reports of inspections and notifies appropriate parties including project engineers. - Proficient with using inspection tooling such as calipers gage pins, optical comparator, CMM. - Maintains calibrated tools/test equipment and schedules service and repair of equipment. Prepares, updates and maintains calibration computer databases. - Performs and documents receiving inspection for materials and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.16b83655aab3a738de", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "011618b58147804855ddf3fee5d94428", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description matched \"linear\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Quality Inspector V General Atomics Electromagnetic Systems (GA-EMS) is a supplier of advanced electromagnetic systems, related power equipment and other high technology products for a variety of government and commercial applications. These include products such as the design and fabrication of linear motors, superconducting and conventional rotating motors, power inverters, high-energy capacitors, radiation monitoring systems, high-voltage direct current power distribution systems, and numerous other products. Under minimal supervision this position is responsible for inspecting a wide variety of Optical, Electrical and mechanical components and assemblies, tooling fixtures and material to ensure compliance with customer requirements, company specifications and quality requirements. Sets up, operates, inspects, tests, and adjusts new and reworked tools, dies, gauges, jigs and fixtures for conformance to engineering drawings and specifications. Maintains, processes, and compiles a variety of confidential and sensitive electronic and hard copy reports, records and statistics. Assignments are typically non-routine where judgment and assessment are required to resolve highly complex issues. May conduct inspections at customer or vendor sites. DUTIES AND RESPONSIBILITIES: - Inspects Optical, machined and electrical components, assemblies and materials to ensure compliance with appropriate regulatory guidelines (Military Standards, ASTM and ANSI, and ASME Code). Provides various electronic and hard copy reports of inspections and notifies appropriate parties including project engineers. - Proficient with using inspection tooling such as calipers gage pins, optical comparator, CMM. - Maintains calibrated tools/test equipment and schedules service and repair of equipment. Prepares, updates and maintains calibration computer databases. - Performs and documents receiving inspection for materials and", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:011618b58147804855ddf3fee5d94428:description:linear", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.18db31f14a37d40318", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "011618b58147804855ddf3fee5d94428", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description contains \"linear\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Quality Inspector V General Atomics Electromagnetic Systems (GA-EMS) is a supplier of advanced electromagnetic systems, related power equipment and other high technology products for a variety of government and commercial applications. These include products such as the design and fabrication of linear motors, superconducting and conventional rotating motors, power inverters, high-energy capacitors, radiation monitoring systems, high-voltage direct current power distribution systems, and numerous other products. Under minimal supervision this position is responsible for inspecting a wide variety of Optical, Electrical and mechanical components and assemblies, tooling fixtures and material to ensure compliance with customer requirements, company specifications and quality requirements. Sets up, operates, inspects, tests, and adjusts new and reworked tools, dies, gauges, jigs and fixtures for conformance to engineering drawings and specifications. Maintains, processes, and compiles a variety of confidential and sensitive electronic and hard copy reports, records and statistics. Assignments are typically non-routine where judgment and assessment are required to resolve highly complex issues. May conduct inspections at customer or vendor sites. DUTIES AND RESPONSIBILITIES: - Inspects Optical, machined and electrical components, assemblies and materials to ensure compliance with appropriate regulatory guidelines (Military Standards, ASTM and ANSI, and ASME Code). Provides various electronic and hard copy reports of inspections and notifies appropriate parties including project engineers. - Proficient with using inspection tooling such as calipers gage pins, optical comparator, CMM. - Maintains calibrated tools/test equipment and schedules service and repair of equipment. Prepares, updates and maintains calibration computer databases. - Performs and documents receiving inspection for materials and", "matched_input": "linear", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25539&siteid=5313&PageType=JobDetails&jobid=5223926", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25539&siteid=5313&PageType=JobDetails&jobid=5223926", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25539&siteid=5313&PageType=JobDetails&jobid=5223926", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "07b280585c2f8ba1cfec2ce5540ebe87", "title": "Senior Machine Learning Applications and Compiler Engineer, LPX", "employer_name": "NVIDIA Corporation", "employer_slug": "nvidia", "location_text": "2 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Canada-Toronto/Senior-Machine-Learning-Applications-and-Compiler-Engineer_JR2012562", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Machine Learning Applications and Compiler Engineer, LPX 2 Locations posted: Posted 30+ Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1045810/000104581026000021/nvda-20260125.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1045810/000104581026000021/nvda-20260125.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.ad8c69e6f5637395d3", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "07b280585c2f8ba1cfec2ce5540ebe87", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:07b280585c2f8ba1cfec2ce5540ebe87:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1045810/000104581026000021/nvda-20260125.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1045810/000104581026000021/nvda-20260125.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Canada-Toronto/Senior-Machine-Learning-Applications-and-Compiler-Engineer_JR2012562", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Canada-Toronto/Senior-Machine-Learning-Applications-and-Compiler-Engineer_JR2012562", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "47c0c4b6f091bba6a1e590d5d47d2349", "title": "Robotics Engineer (M/F/D)", "employer_name": "Baker Hughes", "employer_slug": "baker-hughes", "location_text": "IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2", "country": "IT", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T00:00:00.000Z", "apply_url": "https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/IT-FI-FLORENCE-VIA-FELICE-MATTEUCCI-2/Robotics-Engineer_R163772-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Robotics Engineer (M/F/D) IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2 posted: Posted 2 Days Ago", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 8, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1701605/000170160526000007/bkr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1701605/000170160526000007/bkr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave", "db_column": "parental_leave_weeks", "source_url": "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Energy", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.3385881b90a48bfaa9", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "47c0c4b6f091bba6a1e590d5d47d2349", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:47c0c4b6f091bba6a1e590d5d47d2349:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1701605/000170160526000007/bkr-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1701605/000170160526000007/bkr-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/IT-FI-FLORENCE-VIA-FELICE-MATTEUCCI-2/Robotics-Engineer_R163772-1", "source_values": [ "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/IT-FI-FLORENCE-VIA-FELICE-MATTEUCCI-2/Robotics-Engineer_R163772-1", "source_values": [ "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/IT-FI-FLORENCE-VIA-FELICE-MATTEUCCI-2/Robotics-Engineer_R163772-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/IT-FI-FLORENCE-VIA-FELICE-MATTEUCCI-2/Robotics-Engineer_R163772-1", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "02752b772b2c2f14e8c51b5f4c88806f", "title": "Operations Research Analyst", "employer_name": "Department of Defense", "employer_slug": "department-of-defense", "location_text": "Multiple Locations", "country": "US", "employment_type": "part_time", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 111065, "salary_max": 158322, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 111065, "base_salary_max": 158322, "salary_disclosed": true, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-09T15:37:47.000Z", "apply_url": "https://www.usajobs.gov:443/job/872398100", "apply_url_verified": false, "ats": "usajobs", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Operations Research Analyst Multiple Locations Summary See below for important information regarding this job. Position will be filled at any of the locations listed below. Site specific salary information as follows: Whitehall, OH - $111,065 - $ 144,386 Richmond, VA - $111,183 - $ 144,540 Fort Belvoir, VA -$121,785 - $158,322 Duties Designs, develops, and adapts mathematical, statistical, econometric and other scientific methods and techniques to analyze highly significant management problems. Conducts operations research and economic analysis studies, initiates new areas of study, and recommends areas of further study related to Key Performance Indicators (KPls), supply chain processes, and Agency policies. Performs studies that directly support strategic management decisions and planning, which include inventory investment strategy, business policy, and Activity Performance Plans. Prepares study plans that define complex study efforts by providing the background, description, approach, project milestones, resource requirements, and expected business improvements for each major study. Performs quantitative, cost/economic analyses and operations research studies using mathematical modeling, statistical analysis, linear and nonlinear programming, simulation, decision theory and probability theory in a new or creative approach. Education Substitution of education may not be used in lieu of specialized experience for this grade level. Are you using your education to qualify? You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: Unofficial transcripts are acceptable at time of application. GRADUATE EDUCATION: One academic year of graduate education is considered to be the number of credits hours that your graduate school has determined to represent one", "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": [ "OH", "VA" ], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "hire_states_allowed": { "field": "hire_states_allowed", "source": "rule:state_eligibility", "db_column": "hire_states_allowed" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Defense", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.cd19ec8ee5b4976870", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "02752b772b2c2f14e8c51b5f4c88806f", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description matched \"linear\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Operations Research Analyst Multiple Locations Summary See below for important information regarding this job. Position will be filled at any of the locations listed below. Site specific salary information as follows: Whitehall, OH - $111,065 - $ 144,386 Richmond, VA - $111,183 - $ 144,540 Fort Belvoir, VA -$121,785 - $158,322 Duties Designs, develops, and adapts mathematical, statistical, econometric and other scientific methods and techniques to analyze highly significant management problems. Conducts operations research and economic analysis studies, initiates new areas of study, and recommends areas of further study related to Key Performance Indicators (KPls), supply chain processes, and Agency policies. Performs studies that directly support strategic management decisions and planning, which include inventory investment strategy, business policy, and Activity Performance Plans. Prepares study plans that define complex study efforts by providing the background, description, approach, project milestones, resource requirements, and expected business improvements for each major study. Performs quantitative, cost/economic analyses and operations research studies using mathematical modeling, statistical analysis, linear and nonlinear programming, simulation, decision theory and probability theory in a new or creative approach. Education Substitution of education may not be used in lieu of specialized experience for this grade level. Are you using your education to qualify? You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: Unofficial transcripts are acceptable at time of application. GRADUATE EDUCATION: One academic year of graduate education is considered to be the number of credits hours that your graduate school has determined to represent one", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:02752b772b2c2f14e8c51b5f4c88806f:description:linear", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.b45160756793e483d9", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "02752b772b2c2f14e8c51b5f4c88806f", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description contains \"linear\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Operations Research Analyst Multiple Locations Summary See below for important information regarding this job. Position will be filled at any of the locations listed below. Site specific salary information as follows: Whitehall, OH - $111,065 - $ 144,386 Richmond, VA - $111,183 - $ 144,540 Fort Belvoir, VA -$121,785 - $158,322 Duties Designs, develops, and adapts mathematical, statistical, econometric and other scientific methods and techniques to analyze highly significant management problems. Conducts operations research and economic analysis studies, initiates new areas of study, and recommends areas of further study related to Key Performance Indicators (KPls), supply chain processes, and Agency policies. Performs studies that directly support strategic management decisions and planning, which include inventory investment strategy, business policy, and Activity Performance Plans. Prepares study plans that define complex study efforts by providing the background, description, approach, project milestones, resource requirements, and expected business improvements for each major study. Performs quantitative, cost/economic analyses and operations research studies using mathematical modeling, statistical analysis, linear and nonlinear programming, simulation, decision theory and probability theory in a new or creative approach. Education Substitution of education may not be used in lieu of specialized experience for this grade level. Are you using your education to qualify? You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: Unofficial transcripts are acceptable at time of application. GRADUATE EDUCATION: One academic year of graduate education is considered to be the number of credits hours that your graduate school has determined to represent one", "matched_input": "linear", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872398100", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872398100", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872398100", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "hire_states_allowed": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872398100", "source_values": [ "rule:state_eligibility" ], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872398100", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.usajobs.gov:443/job/872398100", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "ee43693b33a8dd0c73a4edd9b2b056ba", "title": "Pasante de Proyectos", "employer_name": "Mondelez International", "employer_slug": "mondelez-international", "location_text": "Caracas, Venezuela", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://mdlz.wd3.myworkdayjobs.com/External/job/Caracas-Venezuela/Pasante-de-Proyectos_R-162364-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Pasante de Proyectos Caracas, Venezuela posted: Posted 30+ Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1103982/000162828026005345/mdlz-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1103982/000162828026005345/mdlz-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.b8d9ca12a16cd3b8e6", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "ee43693b33a8dd0c73a4edd9b2b056ba", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "other", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:ee43693b33a8dd0c73a4edd9b2b056ba:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1103982/000162828026005345/mdlz-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1103982/000162828026005345/mdlz-20251231.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://mdlz.wd3.myworkdayjobs.com/External/job/Caracas-Venezuela/Pasante-de-Proyectos_R-162364-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null } } }, { "id": "031d3b6229c2e52f0b618b856c7516ce", "title": "Senior Lead Program Manager, Technical Programs", "employer_name": "Klaviyo", "employer_slug": "klaviyo", "location_text": "Boston, MA", "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": 172000, "salary_max": 258000, "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": 172000, "base_salary_max": 258000, "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": "2025-10-16T14:04:39.000Z", "apply_url": "https://www.klaviyo.com/careers/jobs?gh_jid=7453469003", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Lead Program Manager, Technical Programs Boston, MA At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Klaviyo started with the simple idea that businesses should own their own data and use it to create better, more personalized experiences for their customers. In this role you will be a dedicated leader for the long-term health, strategy, and continuous evolution of a critical, core technology platform supporting a key customer vertical. You will: - Partner with Engineering and Product to define the multi-year technical strategy and roadmap, ensuring platform evolution aligns with long-term business goals and providing technical oversight for foundational work. - Prioritize and program manage strategic, non-functional programs (e.g., technical debt, capacity planning, architecture scaling) and specific enterprise initiatives, ensuring system stability and future readiness. - Oversee the full lifecycle of platform features, from technical design to implementation, establishing predictable development and release processes, and ensuring high standards for quality and scalability. - Define clear ways of working, create frameworks for cross-team collaboration, establish content repositories, and articulate the platform's enterprise narrative and boundaries. -", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "bonus_offered": { "field": "bonus_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "bonus_offered" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 10, "years_experience_max": 14, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 55, "travel_pct": 10, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.klaviyo.com/careers/jobs?gh_jid=7453469003", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.klaviyo.com/careers/jobs?gh_jid=7453469003", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.klaviyo.com/careers/jobs?gh_jid=7453469003", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.klaviyo.com/careers/jobs?gh_jid=7453469003", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.klaviyo.com/careers/jobs?gh_jid=7453469003", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.klaviyo.com/careers/jobs?gh_jid=7453469003", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.klaviyo.com/careers/jobs?gh_jid=7453469003", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "3e06c4fc9a71cf653657ac8fed8ccaf7", "title": "Electrical Engineer - Senior", "employer_name": "Fluor Corporation", "employer_slug": "fluor", "location_text": "Calgary, CA-AB, Canada", "country": "CA", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://careers.fluor.com/careers/job/1099553583405", "apply_url_verified": false, "ats": "eightfold", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Electrical Engineer - Senior Calgary, CA-AB, Canada", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1124198/000112419826000007/flr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1124198/000112419826000007/flr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.38ff6b7e741ef3b07e", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "3e06c4fc9a71cf653657ac8fed8ccaf7", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:3e06c4fc9a71cf653657ac8fed8ccaf7:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1124198/000112419826000007/flr-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1124198/000112419826000007/flr-20251231.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.fluor.com/careers/job/1099553583405", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.fluor.com/careers/job/1099553583405", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "07f68259e0096fcb2268753c938822a0", "title": "Mathematics Specialist (Fluent in Hindi - Roman Script) - Freelance AI Trainer Project", "employer_name": "Agency", "employer_slug": "agency", "location_text": "India", "country": "IN", "employment_type": "contract", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": 65, "salary_max": 65, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "hour", "base_salary_min": 65, "base_salary_max": 65, "salary_disclosed": true, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc", "sequoia" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://job-boards.eu.greenhouse.io/agency/jobs/4606966101", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Mathematics Specialist (Fluent in Hindi - Roman Script) - Freelance AI Trainer Project India Are you a mathematics expert fluent in Hindi (Roman Script), eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline academic work for students and professionals everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for mathematics specialists who live and breathe algebra, calculus, number theory, linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete mathematics. You'll challenge advanced language models on topics like real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on classroom problems and theoretical mathematics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in mathematics or a closely related quantitative field is ideal; peer‑reviewed publications, teaching experience, research in pure or applied mathematics, or hands‑on experience with mathematical modeling signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your mathematics expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 47, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "contractor_type": { "field": "contractor_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "contractor_type" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "security", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Professional Services", "employer_industry_source": "source_sector", "employer_size": "51-200", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.fbd654f87e9c64b949", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "07f68259e0096fcb2268753c938822a0", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description matched \"linear\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Mathematics Specialist (Fluent in Hindi - Roman Script) - Freelance AI Trainer Project India Are you a mathematics expert fluent in Hindi (Roman Script), eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline academic work for students and professionals everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for mathematics specialists who live and breathe algebra, calculus, number theory, linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete mathematics. You'll challenge advanced language models on topics like real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on classroom problems and theoretical mathematics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in mathematics or a closely related quantitative field is ideal; peer‑reviewed publications, teaching experience, research in pure or applied mathematics, or hands‑on experience with mathematical modeling signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your mathematics expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:07f68259e0096fcb2268753c938822a0:description:linear", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.377956998226154b2f", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "07f68259e0096fcb2268753c938822a0", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description contains \"linear\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Mathematics Specialist (Fluent in Hindi - Roman Script) - Freelance AI Trainer Project India Are you a mathematics expert fluent in Hindi (Roman Script), eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline academic work for students and professionals everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for mathematics specialists who live and breathe algebra, calculus, number theory, linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete mathematics. You'll challenge advanced language models on topics like real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on classroom problems and theoretical mathematics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in mathematics or a closely related quantitative field is ideal; peer‑reviewed publications, teaching experience, research in pure or applied mathematics, or hands‑on experience with mathematical modeling signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your mathematics expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of", "matched_input": "linear", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.eu.greenhouse.io/agency/jobs/4606966101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.eu.greenhouse.io/agency/jobs/4606966101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.eu.greenhouse.io/agency/jobs/4606966101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.eu.greenhouse.io/agency/jobs/4606966101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.eu.greenhouse.io/agency/jobs/4606966101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "738b3265d26d3c3d957d83421db7d03d", "title": "Conseiller Client (F/H) - Assistance Technique - Agadir - Français / Anglais", "employer_name": "Concentrix", "employer_slug": "concentrix", "location_text": "MAR Agadir - Avenue Hassan II", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://cnx.wd1.myworkdayjobs.com/external_global/job/MAR-Agadir---Avenue-Hassan-II/Conseiller-Client--F-H----Assistance-Technique---Agadir---Franais---Anglais_R1674388", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Conseiller Client (F/H) - Assistance Technique - Agadir - Français / Anglais MAR Agadir - Avenue Hassan II posted: Posted 30+ Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1803599/000180359926000027/cnxc-20251130.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1803599/000180359926000027/cnxc-20251130.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.24e841a610f7032a49", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "738b3265d26d3c3d957d83421db7d03d", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "other", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:738b3265d26d3c3d957d83421db7d03d:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1803599/000180359926000027/cnxc-20251130.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1803599/000180359926000027/cnxc-20251130.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cnx.wd1.myworkdayjobs.com/external_global/job/MAR-Agadir---Avenue-Hassan-II/Conseiller-Client--F-H----Assistance-Technique---Agadir---Franais---Anglais_R1674388", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null } } }, { "id": "08c08a5be69cad8a5732b7466a490068", "title": "Operations Research Scientist, ROW SHARP Research", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Bengaluru, Karnataka, IND", "country": "IN", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": true, "fertility_family_building_benefits": true, "adoption_assistance_offered": true, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-04-21T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10397617/operations-research-scientist-row-sharp-research", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Operations Research Scientist, ROW SHARP Research Bengaluru, Karnataka, IND Join Amazon's Rest of World Supply Chain Research team to revolutionize supply chain planning across multiple geographies including India, Japan, Mexico, Brazil, MENA, Australia, and Singapore. As an Operations Research Scientist, you'll develop optimization solutions using simulations, integer programming, and heuristic search to solve complex short-term capacity planning challenges that directly impact millions of customers worldwide. Key job responsibilities We are looking for an Operations Research Scientist to develop & support our Short term capacity planning initiatives using Simulations, Integer Programming, Linear Programming or Heuristic search. This Scientist, will work closely with our program partners to define business requirements, build data pipeline, write optimization code, deep dive on solution quality and drive adoption with operations. The employee will also be responsible for interfacing with global science teams to help launch their tools to new geographies. A day in the life The employee will work with our program partners to find new opportunities for building/launching decision support tools for our Supply Chain planning teams. This will include 1) Understanding the current planning process for program teams and tools available to them. 2) Determining the gaps in the tools/decision making through data analysis or simulation systems. 3) Determining the best possible tool to solve for the current gaps. 4) Launch or develop the identified tool through coding or solution deep dives and scenario creation. About the team Rest of World (RoW) Supply CHain Analytics, Research and Product (SHARP) team supports supply chain processing", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "db_column": "parental_leave_weeks", "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 1, "years_experience_max": 7, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.8e99a710e34017487e", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "08c08a5be69cad8a5732b7466a490068", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description matched \"linear\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Operations Research Scientist, ROW SHARP Research Bengaluru, Karnataka, IND Join Amazon's Rest of World Supply Chain Research team to revolutionize supply chain planning across multiple geographies including India, Japan, Mexico, Brazil, MENA, Australia, and Singapore. As an Operations Research Scientist, you'll develop optimization solutions using simulations, integer programming, and heuristic search to solve complex short-term capacity planning challenges that directly impact millions of customers worldwide. Key job responsibilities We are looking for an Operations Research Scientist to develop & support our Short term capacity planning initiatives using Simulations, Integer Programming, Linear Programming or Heuristic search. This Scientist, will work closely with our program partners to define business requirements, build data pipeline, write optimization code, deep dive on solution quality and drive adoption with operations. The employee will also be responsible for interfacing with global science teams to help launch their tools to new geographies. A day in the life The employee will work with our program partners to find new opportunities for building/launching decision support tools for our Supply Chain planning teams. This will include 1) Understanding the current planning process for program teams and tools available to them. 2) Determining the gaps in the tools/decision making through data analysis or simulation systems. 3) Determining the best possible tool to solve for the current gaps. 4) Launch or develop the identified tool through coding or solution deep dives and scenario creation. About the team Rest of World (RoW) Supply CHain Analytics, Research and Product (SHARP) team supports supply chain processing", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:08c08a5be69cad8a5732b7466a490068:description:linear", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.e6a020030a953e7031", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "08c08a5be69cad8a5732b7466a490068", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description contains \"linear\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Operations Research Scientist, ROW SHARP Research Bengaluru, Karnataka, IND Join Amazon's Rest of World Supply Chain Research team to revolutionize supply chain planning across multiple geographies including India, Japan, Mexico, Brazil, MENA, Australia, and Singapore. As an Operations Research Scientist, you'll develop optimization solutions using simulations, integer programming, and heuristic search to solve complex short-term capacity planning challenges that directly impact millions of customers worldwide. Key job responsibilities We are looking for an Operations Research Scientist to develop & support our Short term capacity planning initiatives using Simulations, Integer Programming, Linear Programming or Heuristic search. This Scientist, will work closely with our program partners to define business requirements, build data pipeline, write optimization code, deep dive on solution quality and drive adoption with operations. The employee will also be responsible for interfacing with global science teams to help launch their tools to new geographies. A day in the life The employee will work with our program partners to find new opportunities for building/launching decision support tools for our Supply Chain planning teams. This will include 1) Understanding the current planning process for program teams and tools available to them. 2) Determining the gaps in the tools/decision making through data analysis or simulation systems. 3) Determining the best possible tool to solve for the current gaps. 4) Launch or develop the identified tool through coding or solution deep dives and scenario creation. About the team Rest of World (RoW) Supply CHain Analytics, Research and Product (SHARP) team supports supply chain processing", "matched_input": "linear", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10397617/operations-research-scientist-row-sharp-research", "source_values": [ "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10397617/operations-research-scientist-row-sharp-research", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10397617/operations-research-scientist-row-sharp-research", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10397617/operations-research-scientist-row-sharp-research", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10397617/operations-research-scientist-row-sharp-research", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10397617/operations-research-scientist-row-sharp-research", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10397617/operations-research-scientist-row-sharp-research", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "adoption_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10397617/operations-research-scientist-row-sharp-research", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "childcare_subsidy": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10397617/operations-research-scientist-row-sharp-research", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "0ac4c9d6ffeae41504193872246dbf32", "title": "Sr. Product Designer, Connected Fitness", "employer_name": "Peloton Interactive Inc", "employer_slug": "peloton-interactive", "location_text": "New York, 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": 155350, "salary_max": 190850, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base_plus_commission", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 155350, "base_salary_max": 190850, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-09T17:14:08.000Z", "apply_url": "https://careers.onepeloton.com/en/all-jobs/?gh_jid=7976905", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr. Product Designer, Connected Fitness New York, New York ABOUT THE ROLE The Workouts Design Team at Peloton is focused on designing new software experiences that enable people to live both healthier and longer lives. The team works collaboratively with designers across the organization to create new workout experiences, novel software interactions for new hardware products, and intuitive ways of getting the best workout at-home, outdoors, or even in the gym. Our Senior Product Designers create complex and functionality-dense interfaces across various ecosystems. They design in non-linear terms: capturing interactions, edge-cases, and the various states of these experiences through deliverables such as user flows, product maps, wireframes, storyboards, and prototypes. They approach problems with an agile mentality and rapidly iterate on both the UI and UX of the projects. As a Senior Product Designer, you'll partner closely with content designers, product managers, user researchers, engineers, project managers, and other cross-functional teams to bring features to life across our platforms. Successful candidates are self-motivated, strategic, highly collaborative, proactive project owners, readily open to feedback and critique. They value the success of the team over their individual progress, and are often taking leadership over delivering outcomes. YOUR DAILY IMPACT AT PELOTON - Partner with peers in design, product and engineering to help deliver cohesive experiences across all member touchpoints (hardware products, web, mobile, watch, TV, etc.) - Partner with design leads across software and hardware teams to drive new R&D opportunities and set direction for future experiences - Drive complex design initiatives", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1639825/000163982525000138/pton-20250630.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1639825/000163982525000138/pton-20250630.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "design", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.23935b6910665c8d13", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "0ac4c9d6ffeae41504193872246dbf32", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description matched \"linear\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Sr. Product Designer, Connected Fitness New York, New York ABOUT THE ROLE The Workouts Design Team at Peloton is focused on designing new software experiences that enable people to live both healthier and longer lives. The team works collaboratively with designers across the organization to create new workout experiences, novel software interactions for new hardware products, and intuitive ways of getting the best workout at-home, outdoors, or even in the gym. Our Senior Product Designers create complex and functionality-dense interfaces across various ecosystems. They design in non-linear terms: capturing interactions, edge-cases, and the various states of these experiences through deliverables such as user flows, product maps, wireframes, storyboards, and prototypes. They approach problems with an agile mentality and rapidly iterate on both the UI and UX of the projects. As a Senior Product Designer, you'll partner closely with content designers, product managers, user researchers, engineers, project managers, and other cross-functional teams to bring features to life across our platforms. Successful candidates are self-motivated, strategic, highly collaborative, proactive project owners, readily open to feedback and critique. They value the success of the team over their individual progress, and are often taking leadership over delivering outcomes. YOUR DAILY IMPACT AT PELOTON - Partner with peers in design, product and engineering to help deliver cohesive experiences across all member touchpoints (hardware products, web, mobile, watch, TV, etc.) - Partner with design leads across software and hardware teams to drive new R&D opportunities and set direction for future experiences - Drive complex design initiatives", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:0ac4c9d6ffeae41504193872246dbf32:description:linear", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.8209274ef76b68020f", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "0ac4c9d6ffeae41504193872246dbf32", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description contains \"linear\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Sr. Product Designer, Connected Fitness New York, New York ABOUT THE ROLE The Workouts Design Team at Peloton is focused on designing new software experiences that enable people to live both healthier and longer lives. The team works collaboratively with designers across the organization to create new workout experiences, novel software interactions for new hardware products, and intuitive ways of getting the best workout at-home, outdoors, or even in the gym. Our Senior Product Designers create complex and functionality-dense interfaces across various ecosystems. They design in non-linear terms: capturing interactions, edge-cases, and the various states of these experiences through deliverables such as user flows, product maps, wireframes, storyboards, and prototypes. They approach problems with an agile mentality and rapidly iterate on both the UI and UX of the projects. As a Senior Product Designer, you'll partner closely with content designers, product managers, user researchers, engineers, project managers, and other cross-functional teams to bring features to life across our platforms. Successful candidates are self-motivated, strategic, highly collaborative, proactive project owners, readily open to feedback and critique. They value the success of the team over their individual progress, and are often taking leadership over delivering outcomes. YOUR DAILY IMPACT AT PELOTON - Partner with peers in design, product and engineering to help deliver cohesive experiences across all member touchpoints (hardware products, web, mobile, watch, TV, etc.) - Partner with design leads across software and hardware teams to drive new R&D opportunities and set direction for future experiences - Drive complex design initiatives", "matched_input": "linear", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.onepeloton.com/en/all-jobs/?gh_jid=7976905", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.onepeloton.com/en/all-jobs/?gh_jid=7976905", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.onepeloton.com/en/all-jobs/?gh_jid=7976905", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1639825/000163982525000138/pton-20250630.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1639825/000163982525000138/pton-20250630.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.onepeloton.com/en/all-jobs/?gh_jid=7976905", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.onepeloton.com/en/all-jobs/?gh_jid=7976905", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "118834a9911c073c07aa9aa7c2cbc42f", "title": "ALTERNANCE - Optimisation mathématique appliquée aux problèmes de télécom spatiales - H/F", "employer_name": "Thales", "employer_slug": "thales", "location_text": "Toulouse, Haute-Garonne, France", "country": "FR", "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": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-03-30T00:00:00.000Z", "apply_url": "https://thales.wd3.myworkdayjobs.com/Careers/job/Toulouse/ALTERNANCE---Optimisation-mathmatique-applique-aux-problmes-de-tlcom-spatiales---H-F_R0321263-2/apply", "apply_url_verified": false, "ats": "phenom_people", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "ALTERNANCE - Optimisation mathématique appliquée aux problèmes de télécom spatiales - H/F Toulouse, Haute-Garonne, France Nous recherchons un alternant en optimisation mathématique appliquée aux problèmes de télécommunications spatiales pour rejoindre notre équipe dynamique à Toulouse. Vous participerez à l'amélioration des méthodes de résolution de problèmes complexes et développerez vos compétences en programmation et en optimisation.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "contractor_type": { "field": "contractor_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "contractor_type" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.54e50895745c36125d", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "118834a9911c073c07aa9aa7c2cbc42f", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:118834a9911c073c07aa9aa7c2cbc42f:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://thales.wd3.myworkdayjobs.com/Careers/job/Toulouse/ALTERNANCE---Optimisation-mathmatique-applique-aux-problmes-de-tlcom-spatiales---H-F_R0321263-2/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://thales.wd3.myworkdayjobs.com/Careers/job/Toulouse/ALTERNANCE---Optimisation-mathmatique-applique-aux-problmes-de-tlcom-spatiales---H-F_R0321263-2/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "963f87218bba28bba662127d8b9e9e01", "title": "Machine Learning Engineer", "employer_name": "Mercado Libre", "employer_slug": "mercado-libre", "location_text": "Bogotá,Colombia", "country": "CO", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://mercadolibre.eightfold.ai/careers/job/42257187", "apply_url_verified": false, "ats": "eightfold", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Machine Learning Engineer Bogotá,Colombia", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1099590/000109959026000006/meli-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1099590/000109959026000006/meli-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.35d4d51eb2dad17b59", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "963f87218bba28bba662127d8b9e9e01", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:963f87218bba28bba662127d8b9e9e01:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1099590/000109959026000006/meli-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1099590/000109959026000006/meli-20251231.htm" ], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://mercadolibre.eightfold.ai/careers/job/42257187", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://mercadolibre.eightfold.ai/careers/job/42257187", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "0c290239dbf757ed37f6c86f28b793da", "title": "Quantitative Software Developer", "employer_name": "Point72 Asset Management", "employer_slug": "point72-asset-management", "location_text": "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": 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": "2025-06-10T20:41:46.000Z", "apply_url": "https://boards.greenhouse.io/point72/jobs/8032153002?gh_jid=8032153002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Quantitative Software Developer New York ABOUT CUBIST: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. RESPONSIBILITIES: - Building components for both live trading and simulation - Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components - Building tools for signal blending, simulation, portfolio construction, the research framework, and dashboards - Maintaining and updating the platform, ensuring its stability, robustness, and security - Developing robust data checking and storage procedures - Troubleshooting and resolving any systems related issues and handle the release of code fixes and enhancements REQUIREMENTS: - Bachelor's degree or higher in computer science or other STEM discipline - Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals - Experience contributing to core Python numerical libraries is a huge plus (numpy, tensorflow, torch, jax) - Proficiency with Linux - Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control) - Strong quantitative and analytical skills; command of linear algebra, statistics, and machine learning would be helpful - Proficiency with C/C++ is a plus - Experience with designing and implementing trading systems is a plus - Commitment to the highest ethical standards", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.296a9a110adf91f14b", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "0c290239dbf757ed37f6c86f28b793da", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description matched \"linear\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Quantitative Software Developer New York ABOUT CUBIST: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. RESPONSIBILITIES: - Building components for both live trading and simulation - Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components - Building tools for signal blending, simulation, portfolio construction, the research framework, and dashboards - Maintaining and updating the platform, ensuring its stability, robustness, and security - Developing robust data checking and storage procedures - Troubleshooting and resolving any systems related issues and handle the release of code fixes and enhancements REQUIREMENTS: - Bachelor's degree or higher in computer science or other STEM discipline - Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals - Experience contributing to core Python numerical libraries is a huge plus (numpy, tensorflow, torch, jax) - Proficiency with Linux - Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control) - Strong quantitative and analytical skills; command of linear algebra, statistics, and machine learning would be helpful - Proficiency with C/C++ is a plus - Experience with designing and implementing trading systems is a plus - Commitment to the highest ethical standards", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:0c290239dbf757ed37f6c86f28b793da:description:linear", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.8bcdfe2c40ef047296", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "0c290239dbf757ed37f6c86f28b793da", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description contains \"linear\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Quantitative Software Developer New York ABOUT CUBIST: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. RESPONSIBILITIES: - Building components for both live trading and simulation - Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components - Building tools for signal blending, simulation, portfolio construction, the research framework, and dashboards - Maintaining and updating the platform, ensuring its stability, robustness, and security - Developing robust data checking and storage procedures - Troubleshooting and resolving any systems related issues and handle the release of code fixes and enhancements REQUIREMENTS: - Bachelor's degree or higher in computer science or other STEM discipline - Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals - Experience contributing to core Python numerical libraries is a huge plus (numpy, tensorflow, torch, jax) - Proficiency with Linux - Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control) - Strong quantitative and analytical skills; command of linear algebra, statistics, and machine learning would be helpful - Proficiency with C/C++ is a plus - Experience with designing and implementing trading systems is a plus - Commitment to the highest ethical standards", "matched_input": "linear", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://boards.greenhouse.io/point72/jobs/8032153002?gh_jid=8032153002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://boards.greenhouse.io/point72/jobs/8032153002?gh_jid=8032153002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "283ba4c2173de43a04c00ec4426d0025", "title": "Kontrolor výroby (m,ž)", "employer_name": "Baker Hughes", "employer_slug": "baker-hughes", "location_text": "CZ-DOUDLEVCE-PILSEN-EDVARDA BENESE 564/39", "country": "CZ", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/CZ-DOUDLEVCE-PILSEN-EDVARDA-BENESE-56439/Kontrolor-vroby--m--_R163133", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Kontrolor výroby (m,ž) CZ-DOUDLEVCE-PILSEN-EDVARDA BENESE 564/39 posted: Posted 30+ Days Ago", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 8, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1701605/000170160526000007/bkr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1701605/000170160526000007/bkr-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave", "db_column": "parental_leave_weeks", "source_url": "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": "Energy", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.aadce4216484a2ba08", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "283ba4c2173de43a04c00ec4426d0025", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "other", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:283ba4c2173de43a04c00ec4426d0025:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1701605/000170160526000007/bkr-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1701605/000170160526000007/bkr-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/CZ-DOUDLEVCE-PILSEN-EDVARDA-BENESE-56439/Kontrolor-vroby--m--_R163133", "source_values": [ "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/CZ-DOUDLEVCE-PILSEN-EDVARDA-BENESE-56439/Kontrolor-vroby--m--_R163133", "source_values": [ "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/CZ-DOUDLEVCE-PILSEN-EDVARDA-BENESE-56439/Kontrolor-vroby--m--_R163133", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "0d5af6f507184b12823c40c3af70d9ae", "title": "Autonomy Engineer - Planning and Controls", "employer_name": "Skydio", "employer_slug": "skydio", "location_text": "Zurich, Switzerland, Zurich, Switzerland", "country": "CH", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn", "a16z" ], "posted_at": "2026-05-27T19:00:26.959Z", "apply_url": "https://jobs.ashbyhq.com/skydio/d5a3ac9c-7b50-4e51-9600-f3c3105652cd", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Autonomy Engineer - Planning and Controls Zurich, Switzerland, Zurich, Switzerland Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders , soldiers in battlefield scenarios , and beyond . About the role: The planning algorithms running onboard the vehicle define its behavior, giving our drones their character. You will contribute to the development and implementation of the core motion planning software, touching everything from the low-level stabilization and control, to high level, task specific frameworks. How you'll make an impact: - Conceive, design, implement, simulate, evaluate, and fly new motion planning strategies - Work across the software system to define the right data and interfaces for successful motion planning - Develop, tune, and evaluate low level controllers - Work with the UX team to explore and define planning/UI boundaries for new interaction paradigms What makes you a good fit: - Experience writing software that controls real hardware, e.g. grasping / manipulation of a robotic arm, self-driving cars, any kind of mobile robot - Configuration and free space representations - Modern and classical control design methods - Dynamic programming - Non-linear optimization - Solid software engineering foundation and a commitment to writing clean, well architected code - High proficiency in", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.6225db6b84cf398649", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "0d5af6f507184b12823c40c3af70d9ae", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description matched \"linear\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Autonomy Engineer - Planning and Controls Zurich, Switzerland, Zurich, Switzerland Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders , soldiers in battlefield scenarios , and beyond . About the role: The planning algorithms running onboard the vehicle define its behavior, giving our drones their character. You will contribute to the development and implementation of the core motion planning software, touching everything from the low-level stabilization and control, to high level, task specific frameworks. How you'll make an impact: - Conceive, design, implement, simulate, evaluate, and fly new motion planning strategies - Work across the software system to define the right data and interfaces for successful motion planning - Develop, tune, and evaluate low level controllers - Work with the UX team to explore and define planning/UI boundaries for new interaction paradigms What makes you a good fit: - Experience writing software that controls real hardware, e.g. grasping / manipulation of a robotic arm, self-driving cars, any kind of mobile robot - Configuration and free space representations - Modern and classical control design methods - Dynamic programming - Non-linear optimization - Solid software engineering foundation and a commitment to writing clean, well architected code - High proficiency in", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:0d5af6f507184b12823c40c3af70d9ae:description:linear", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.dfedc53c0a5ba12230", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "0d5af6f507184b12823c40c3af70d9ae", "signal_type": "query_match", "display_text": "Description: \"linear\"", "tooltip": "Description contains \"linear\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Autonomy Engineer - Planning and Controls Zurich, Switzerland, Zurich, Switzerland Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders , soldiers in battlefield scenarios , and beyond . About the role: The planning algorithms running onboard the vehicle define its behavior, giving our drones their character. You will contribute to the development and implementation of the core motion planning software, touching everything from the low-level stabilization and control, to high level, task specific frameworks. How you'll make an impact: - Conceive, design, implement, simulate, evaluate, and fly new motion planning strategies - Work across the software system to define the right data and interfaces for successful motion planning - Develop, tune, and evaluate low level controllers - Work with the UX team to explore and define planning/UI boundaries for new interaction paradigms What makes you a good fit: - Experience writing software that controls real hardware, e.g. grasping / manipulation of a robotic arm, self-driving cars, any kind of mobile robot - Configuration and free space representations - Modern and classical control design methods - Dynamic programming - Non-linear optimization - Solid software engineering foundation and a commitment to writing clean, well architected code - High proficiency in", "matched_input": "linear", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/skydio/d5a3ac9c-7b50-4e51-9600-f3c3105652cd", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/skydio/d5a3ac9c-7b50-4e51-9600-f3c3105652cd", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "a36420b9d1a5fa63719ebd7170ebbfa1", "title": "Master Data Management, Cluster Lead", "employer_name": "Mondelez International", "employer_slug": "mondelez-international", "location_text": "2 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://mdlz.wd3.myworkdayjobs.com/External/job/Business-Office-Head-Office---Santa-F-Mexico/Master-Data-Management--Cluster-Lead_R-166661", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Master Data Management, Cluster Lead 2 Locations posted: Posted 30+ Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1103982/000162828026005345/mdlz-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1103982/000162828026005345/mdlz-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.7602e08096b8500635", "query_id": "gq_ae58d23398ac4586b3de", "job_id": "a36420b9d1a5fa63719ebd7170ebbfa1", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "linear", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_ae58d23398ac4586b3de:a36420b9d1a5fa63719ebd7170ebbfa1:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1103982/000162828026005345/mdlz-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1103982/000162828026005345/mdlz-20251231.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://mdlz.wd3.myworkdayjobs.com/External/job/Business-Office-Head-Office---Santa-F-Mexico/Master-Data-Management--Cluster-Lead_R-166661", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://mdlz.wd3.myworkdayjobs.com/External/job/Business-Office-Head-Office---Santa-F-Mexico/Master-Data-Management--Cluster-Lead_R-166661", "source_values": [ "rule" ], "checked_at": null } } } ], "total": 519, "page": 19, "per_page": 24, "applied_filters": { "q": "Linear", "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": false, "query_terms": [ "linear" ], "active_filter_keys": [], "visible_signal_limit": 3, "visible_trust_limit": 2 }, "event_context": { "query_context": { "query_id": "6954bd22-ff45-439e-8d49-f0c84a59fd3b", "issued_at": "2026-10-09T02:05:10.496Z", "route": "/jobs", "page": 19, "per_page": 24, "total_results": 519, "sort": "relevance", "ranking_policy": "hybrid_rrf_rerank", "ranking_policy_version": "inv382.jobs.search.v2", "query_hash": "hmac_sha256:PVDmb31D3rslQegs-s3_4o2eK0lPcoNn--YVkNAMrC0", "filter_hash": "hmac_sha256:CXa8WcNqf8t4vwJUAguBZ01cbEAo2nphmyJ39emOY9s", "query_features": { "has_q": true, "q_term_count": 1, "q_length_bucket": "1_15", "q_pii_redacted": false, "state_count": 0, "benefit_filters": [], "quality_floor": "all" }, "exposures": [ { "result_id": "3eb971da43e73981c4d0188e4a5da901", "position": 433, "page_position": 1, "retrieval_features": { "bm25_score": 0, "vector_score": 0.4009377956390381, "rrf_score": 0.003472222222222222, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 141, "quality_score": 35 } }, { "result_id": "b76a25c71d0340cda411e45ca3fd0eec", "position": 434, "page_position": 2, "retrieval_features": { "bm25_score": 0, "vector_score": 0.4009454846382141, "rrf_score": 0.0034602076124567475, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 126, "quality_score": 35 } }, { "result_id": "a648f8bcbd7d1948d958b14326208ddf", "position": 435, "page_position": 3, "retrieval_features": { "bm25_score": -4.854763031005859, "vector_score": 0, "rrf_score": 0.0034602076124567475, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 126, "quality_score": 45 } }, { "result_id": "ca153a07a6f14708692d68eb29471791", "position": 436, "page_position": 4, "retrieval_features": { "bm25_score": -4.854763031005859, "vector_score": 0, "rrf_score": 0.0034482758620689655, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 126, "quality_score": 45 } }, { "result_id": "cbb23655b5b81dd15fa0a6343d5d5a88", "position": 437, "page_position": 5, "retrieval_features": { "bm25_score": 0, "vector_score": 0.4009484409720624, "rrf_score": 0.0034482758620689655, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 150, "quality_score": 35 } }, { "result_id": "00ea79c7296fca6e9147782258bd0e53", "position": 438, "page_position": 6, "retrieval_features": { "bm25_score": -4.740784645080566, "vector_score": 0, "rrf_score": 0.003436426116838488, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 207, "quality_score": 55 } }, { "result_id": "8d153bd285100fd01d6899f691dd353f", "position": 439, "page_position": 7, "retrieval_features": { "bm25_score": 0, "vector_score": 0.40098488330841064, "rrf_score": 0.003436426116838488, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 120, "quality_score": 35 } }, { "result_id": "011618b58147804855ddf3fee5d94428", "position": 440, "page_position": 8, "retrieval_features": { "bm25_score": -4.740784645080566, "vector_score": 0, "rrf_score": 0.003424657534246575, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 120, "quality_score": 45 } }, { "result_id": "07b280585c2f8ba1cfec2ce5540ebe87", "position": 441, "page_position": 9, "retrieval_features": { "bm25_score": 0, "vector_score": 0.4009921968278941, "rrf_score": 0.003424657534246575, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 150, "quality_score": 35 } }, { "result_id": "47c0c4b6f091bba6a1e590d5d47d2349", "position": 442, "page_position": 10, "retrieval_features": { "bm25_score": 0, "vector_score": 0.40102301243016136, "rrf_score": 0.0034129692832764505, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 121, "quality_score": 35 } }, { "result_id": "02752b772b2c2f14e8c51b5f4c88806f", "position": 443, "page_position": 11, "retrieval_features": { "bm25_score": -4.740784645080566, "vector_score": 0, "rrf_score": 0.0034129692832764505, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 121, "quality_score": 55 } }, { "result_id": "ee43693b33a8dd0c73a4edd9b2b056ba", "position": 444, "page_position": 12, "retrieval_features": { "bm25_score": 0, "vector_score": 0.401104402410455, "rrf_score": 0.003401360544217687, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 150, "quality_score": 35 } }, { "result_id": "031d3b6229c2e52f0b618b856c7516ce", "position": 445, "page_position": 13, "retrieval_features": { "bm25_score": -4.740784645080566, "vector_score": 0, "rrf_score": 0.003401360544217687, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 357, "quality_score": 55 } }, { "result_id": "3e06c4fc9a71cf653657ac8fed8ccaf7", "position": 446, "page_position": 14, "retrieval_features": { "bm25_score": 0, "vector_score": 0.4011295794767381, "rrf_score": 0.003389830508474576, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 118, "quality_score": 35 } }, { "result_id": "07f68259e0096fcb2268753c938822a0", "position": 447, "page_position": 15, "retrieval_features": { "bm25_score": -4.740784645080566, "vector_score": 0, "rrf_score": 0.003389830508474576, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 123, "quality_score": 55 } }, { "result_id": "738b3265d26d3c3d957d83421db7d03d", "position": 448, "page_position": 16, "retrieval_features": { "bm25_score": 0, "vector_score": 0.40116606358188556, "rrf_score": 0.0033783783783783786, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 150, "quality_score": 35 } }, { "result_id": "08c08a5be69cad8a5732b7466a490068", "position": 449, "page_position": 17, "retrieval_features": { "bm25_score": -4.740784645080566, "vector_score": 0, "rrf_score": 0.0033783783783783786, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 171, "quality_score": 45 } }, { "result_id": "0ac4c9d6ffeae41504193872246dbf32", "position": 450, "page_position": 18, "retrieval_features": { "bm25_score": -4.740784645080566, "vector_score": 0, "rrf_score": 0.003367003367003367, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 121, "quality_score": 55 } }, { "result_id": "118834a9911c073c07aa9aa7c2cbc42f", "position": 451, "page_position": 19, "retrieval_features": { "bm25_score": 0, "vector_score": 0.40116965770721436, "rrf_score": 0.003367003367003367, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 193, "quality_score": 45 } }, { "result_id": "963f87218bba28bba662127d8b9e9e01", "position": 452, "page_position": 20, "retrieval_features": { "bm25_score": 0, "vector_score": 0.4012283800568085, "rrf_score": 0.003355704697986577, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 118, "quality_score": 35 } }, { "result_id": "0c290239dbf757ed37f6c86f28b793da", "position": 453, "page_position": 21, "retrieval_features": { "bm25_score": -4.740784645080566, "vector_score": 0, "rrf_score": 0.003355704697986577, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 485, "quality_score": 45 } }, { "result_id": "283ba4c2173de43a04c00ec4426d0025", "position": 454, "page_position": 22, "retrieval_features": { "bm25_score": 0, "vector_score": 0.4012438654899597, "rrf_score": 0.0033444816053511705, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 150, "quality_score": 35 } }, { "result_id": "0d5af6f507184b12823c40c3af70d9ae", "position": 455, "page_position": 23, "retrieval_features": { "bm25_score": -4.740784645080566, "vector_score": 0, "rrf_score": 0.0033444816053511705, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 134, "quality_score": 45 } }, { "result_id": "a36420b9d1a5fa63719ebd7170ebbfa1", "position": 456, "page_position": 24, "retrieval_features": { "bm25_score": 0, "vector_score": 0.40126851789542817, "rrf_score": 0.0033333333333333335, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 150, "quality_score": 35 } } ] }, "context_signature": "1N57ml1DN36RFsVb6ETydkTy-yQg6evFueOWebobjRs", "event_token": "1N57ml1DN36RFsVb6ETydkTy-yQg6evFueOWebobjRs" } }