{
  "results": [
    {
      "id": "ea46646eff5ba3a2a04b7e8e2bd8c6d5",
      "title": "Marketing Associate",
      "employer_name": "Dyneti Technologies",
      "employer_slug": "dyneti-technologies",
      "location_text": "San Mateo | Hybrid | Remote",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/dyneti/6054edac-04be-4211-aa0d-16abc502a68e",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Marketing Associate San Mateo | Hybrid | Remote About Us At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. Job Overview We are looking for a motivated Marketing Associate to support our commercial team. You will work directly with the CEO to introduce Dyneti to new prospects through a variety of different customer acquisition channels. This is an excellent role for an undergraduate eager to execute on go-to-market strategies. Responsibilities - Identify and test new customer acquisition channels - Implement events and conference marketing - Execute on sales outreach strategies - Serve as the first point of contact for inbound leads Qualifications - Bachelor's degree - Enthusiasm to learn and work in a fast-paced startup environment. What We Offer - Hands-on experience with real-world go-to-market challenges. - Opportunity to grow in a supportive, innovative team. In the News - https://techcrunch.com/2019/03/19/best-of-y-combinator/ - https://www.builtinsf.com/2020/1/21/50-san-francisco-startups-watch-2020 - https://www.bizjournals.com/sanfrancisco/news/2021/07/23/0723-wwl-youngguns.html Dyneti is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "entry",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 0,
      "years_experience_max": 4,
      "role_function": "marketing",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "seed",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3ef38305d58840a32d",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "ea46646eff5ba3a2a04b7e8e2bd8c6d5",
          "signal_type": "query_match",
          "display_text": "Description: \"dyneti\"",
          "tooltip": "Description matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Marketing Associate San Mateo | Hybrid | Remote About Us At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. Job Overview We are looking for a motivated Marketing Associate to support our commercial team. You will work directly with the CEO to introduce Dyneti to new prospects through a variety of different customer acquisition channels. This is an excellent role for an undergraduate eager to execute on go-to-market strategies. Responsibilities - Identify and test new customer acquisition channels - Implement events and conference marketing - Execute on sales outreach strategies - Serve as the first point of contact for inbound leads Qualifications - Bachelor's degree - Enthusiasm to learn and work in a fast-paced startup environment. What We Offer - Hands-on experience with real-world go-to-market challenges. - Opportunity to grow in a supportive, innovative team. In the News - https://techcrunch.com/2019/03/19/best-of-y-combinator/ - https://www.builtinsf.com/2020/1/21/50-san-francisco-startups-watch-2020 - https://www.bizjournals.com/sanfrancisco/news/2021/07/23/0723-wwl-youngguns.html Dyneti is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:ea46646eff5ba3a2a04b7e8e2bd8c6d5:description:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1ecc0ceb9f9c383a4b",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "ea46646eff5ba3a2a04b7e8e2bd8c6d5",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:ea46646eff5ba3a2a04b7e8e2bd8c6d5:employer:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3ad90658614cbd3000",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "ea46646eff5ba3a2a04b7e8e2bd8c6d5",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer matched \"technologies\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:ea46646eff5ba3a2a04b7e8e2bd8c6d5:employer:technologies",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.fca808f07129a53aaf",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "ea46646eff5ba3a2a04b7e8e2bd8c6d5",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:e6a6c682bad527c6ad11ca2e",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f4d2d199908474fff3",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "ea46646eff5ba3a2a04b7e8e2bd8c6d5",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer contains \"dyneti\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fd0a953180adaeccca",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "ea46646eff5ba3a2a04b7e8e2bd8c6d5",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer contains \"technologies\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.d2bb970dcd251b3260",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "ea46646eff5ba3a2a04b7e8e2bd8c6d5",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "marketing",
          "matched_input": "dyneti technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:ea46646eff5ba3a2a04b7e8e2bd8c6d5:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/6054edac-04be-4211-aa0d-16abc502a68e",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/6054edac-04be-4211-aa0d-16abc502a68e",
          "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/dyneti/6054edac-04be-4211-aa0d-16abc502a68e",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/6054edac-04be-4211-aa0d-16abc502a68e",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "8b517226bc25165039465bb162b18aec",
      "title": "Software Engineer",
      "employer_name": "Dyneti Technologies",
      "employer_slug": "dyneti-technologies",
      "location_text": "San Mateo | Hybrid | Remote",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/dyneti/b7c7a01c-cc55-431c-87cc-6bcf2581ebae",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Engineer San Mateo | Hybrid | Remote About Us At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. Job Overview Join Dyneti as part of the founding engineering team. You will have the opportunity to work closely with the CEO to build new features and roll out new products - all in the deep learning space. We're Looking for Someone Who - Holds yourself and others to a high bar when working with production systems - Can work independently - Is comfortable in a variety of engineering settings, from frontend UX changes to database design to quick-and-dirty Python scripts - Likes to ship code and test user-facing changes - Interest in deep learning preferred In the News - https://techcrunch.com/2019/03/19/best-of-y-combinator/ - https://www.builtinsf.com/2020/1/21/50-san-francisco-startups-watch-2020 - https://www.bizjournals.com/sanfrancisco/news/2021/07/23/0723-wwl-youngguns.html Dyneti is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.",
      "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"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "seed",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ab5ae1851932e0a6f6",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "8b517226bc25165039465bb162b18aec",
          "signal_type": "query_match",
          "display_text": "Description: \"dyneti\"",
          "tooltip": "Description matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer San Mateo | Hybrid | Remote About Us At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. Job Overview Join Dyneti as part of the founding engineering team. You will have the opportunity to work closely with the CEO to build new features and roll out new products - all in the deep learning space. We're Looking for Someone Who - Holds yourself and others to a high bar when working with production systems - Can work independently - Is comfortable in a variety of engineering settings, from frontend UX changes to database design to quick-and-dirty Python scripts - Likes to ship code and test user-facing changes - Interest in deep learning preferred In the News - https://techcrunch.com/2019/03/19/best-of-y-combinator/ - https://www.builtinsf.com/2020/1/21/50-san-francisco-startups-watch-2020 - https://www.bizjournals.com/sanfrancisco/news/2021/07/23/0723-wwl-youngguns.html Dyneti is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:8b517226bc25165039465bb162b18aec:description:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.25acd04a80359b8057",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "8b517226bc25165039465bb162b18aec",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:8b517226bc25165039465bb162b18aec:employer:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ddd0fa415d840d480d",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "8b517226bc25165039465bb162b18aec",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer matched \"technologies\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:8b517226bc25165039465bb162b18aec:employer:technologies",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.3199f71a5988d94ef5",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "8b517226bc25165039465bb162b18aec",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:b87fbe6909b7135ab2d125f4",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1852b5579ee6fbeeff",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "8b517226bc25165039465bb162b18aec",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer contains \"technologies\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.903d0513078c6ffc77",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "8b517226bc25165039465bb162b18aec",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer contains \"dyneti\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.ba656083a574d11895",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "8b517226bc25165039465bb162b18aec",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "dyneti technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:8b517226bc25165039465bb162b18aec:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/b7c7a01c-cc55-431c-87cc-6bcf2581ebae",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/b7c7a01c-cc55-431c-87cc-6bcf2581ebae",
          "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/dyneti/b7c7a01c-cc55-431c-87cc-6bcf2581ebae",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/b7c7a01c-cc55-431c-87cc-6bcf2581ebae",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "01908bd6f3c4ccf9127e01a6afe4e440",
      "title": "Data Scientist",
      "employer_name": "Dyneti Technologies",
      "employer_slug": "dyneti-technologies",
      "location_text": "San Mateo | Hybrid | Remote",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/dyneti/8db8cdf7-be27-4fcd-a00c-abb69f08a7be",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Data Scientist San Mateo | Hybrid | Remote About Us At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. Job Overview Join Dyneti as a founding member of the technical team. You will have the opportunity to work closely with the CEO and engineering to track emerging fraud trends, translate insights into product improvements, and build and launch your ideas. This role sits at the intersection of data, engineering, and real-world fraud strategy and is critical to shaping how DyScan evolves to stay ahead of increasingly sophisticated attackers. We're Looking for Someone Who - Enjoys significant ownership over user-facing product - Can work independently - Is comfortable turning research papers into product - Has 2+ years experience with data science or has a PhD in a STEM field - Has an interest in software engineering - Builds with a product-first approach. You move quickly from analysis to action and care about measurable outcomes In the News - https://techcrunch.com/2019/03/19/best-of-y-combinator/ - https://www.builtinsf.com/2020/1/21/50-san-francisco-startups-watch-2020 - https://www.bizjournals.com/sanfrancisco/news/2021/07/23/0723-wwl-youngguns.html Dyneti is an equal opportunity employer. All applicants will be",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 2,
      "years_experience_max": 6,
      "role_function": "data",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "seed",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e181651537f3a2d489",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "01908bd6f3c4ccf9127e01a6afe4e440",
          "signal_type": "query_match",
          "display_text": "Description: \"dyneti\"",
          "tooltip": "Description matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Data Scientist San Mateo | Hybrid | Remote About Us At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. Job Overview Join Dyneti as a founding member of the technical team. You will have the opportunity to work closely with the CEO and engineering to track emerging fraud trends, translate insights into product improvements, and build and launch your ideas. This role sits at the intersection of data, engineering, and real-world fraud strategy and is critical to shaping how DyScan evolves to stay ahead of increasingly sophisticated attackers. We're Looking for Someone Who - Enjoys significant ownership over user-facing product - Can work independently - Is comfortable turning research papers into product - Has 2+ years experience with data science or has a PhD in a STEM field - Has an interest in software engineering - Builds with a product-first approach. You move quickly from analysis to action and care about measurable outcomes In the News - https://techcrunch.com/2019/03/19/best-of-y-combinator/ - https://www.builtinsf.com/2020/1/21/50-san-francisco-startups-watch-2020 - https://www.bizjournals.com/sanfrancisco/news/2021/07/23/0723-wwl-youngguns.html Dyneti is an equal opportunity employer. All applicants will be",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:01908bd6f3c4ccf9127e01a6afe4e440:description:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0126aa466f77473df2",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "01908bd6f3c4ccf9127e01a6afe4e440",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:01908bd6f3c4ccf9127e01a6afe4e440:employer:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6a0c153397e1c130e4",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "01908bd6f3c4ccf9127e01a6afe4e440",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer matched \"technologies\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:01908bd6f3c4ccf9127e01a6afe4e440:employer:technologies",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.d32873a8f848cec8e4",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "01908bd6f3c4ccf9127e01a6afe4e440",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:cb6459a9f78b04fb04a815a9",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.53b931a5d2ffd35312",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "01908bd6f3c4ccf9127e01a6afe4e440",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer contains \"technologies\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c9984364a28cf49f91",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "01908bd6f3c4ccf9127e01a6afe4e440",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer contains \"dyneti\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.bb0219ffccdfd457f6",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "01908bd6f3c4ccf9127e01a6afe4e440",
          "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": "dyneti technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:01908bd6f3c4ccf9127e01a6afe4e440:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/8db8cdf7-be27-4fcd-a00c-abb69f08a7be",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/8db8cdf7-be27-4fcd-a00c-abb69f08a7be",
          "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/dyneti/8db8cdf7-be27-4fcd-a00c-abb69f08a7be",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/8db8cdf7-be27-4fcd-a00c-abb69f08a7be",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "8fac43eca1d1c3da7c98aab0778255d5",
      "title": "Business Development Representative",
      "employer_name": "Dyneti Technologies",
      "employer_slug": "dyneti-technologies",
      "location_text": "San Mateo | Hybrid | Remote",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/dyneti/5b61a88a-722c-427a-b57f-e2648e9f9d12",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Business Development Representative San Mateo | Hybrid | Remote About Us At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. Job Overview We are looking for a motivated Business Development Representative to drive our sales pipeline and fuel company growth. You will work directly with the CEO and sales team to identify, engage, and qualify prospects across multiple channels. This is an excellent opportunity for someone eager to launch their career in B2B sales at a fintech startup. Responsibilities - Research and identify qualified prospects within target market segments - Execute multi-channel outbound prospecting campaigns (email, LinkedIn, phone) - Qualify inbound leads and schedule discovery calls for the sales team - Maintain accurate records of all prospect interactions in CRM - Collaborate with marketing to optimize lead generation strategies - Meet or exceed monthly quotas for qualified opportunities generated - Drive attendance to and represent Dyneti at industry events and conferences Qualifications - Bachelor's degree - Enthusiasm to learn and work in a fast-paced startup environment. What We Offer - Hands-on experience",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "sales",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "seed",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.aededb52f63ebf80d1",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "8fac43eca1d1c3da7c98aab0778255d5",
          "signal_type": "query_match",
          "display_text": "Description: \"dyneti\"",
          "tooltip": "Description matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Business Development Representative San Mateo | Hybrid | Remote About Us At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. Job Overview We are looking for a motivated Business Development Representative to drive our sales pipeline and fuel company growth. You will work directly with the CEO and sales team to identify, engage, and qualify prospects across multiple channels. This is an excellent opportunity for someone eager to launch their career in B2B sales at a fintech startup. Responsibilities - Research and identify qualified prospects within target market segments - Execute multi-channel outbound prospecting campaigns (email, LinkedIn, phone) - Qualify inbound leads and schedule discovery calls for the sales team - Maintain accurate records of all prospect interactions in CRM - Collaborate with marketing to optimize lead generation strategies - Meet or exceed monthly quotas for qualified opportunities generated - Drive attendance to and represent Dyneti at industry events and conferences Qualifications - Bachelor's degree - Enthusiasm to learn and work in a fast-paced startup environment. What We Offer - Hands-on experience",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:8fac43eca1d1c3da7c98aab0778255d5:description:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.33689bffef0ae091fc",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "8fac43eca1d1c3da7c98aab0778255d5",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:8fac43eca1d1c3da7c98aab0778255d5:employer:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.aa40b24c3cf7a7bb13",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "8fac43eca1d1c3da7c98aab0778255d5",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer matched \"technologies\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:8fac43eca1d1c3da7c98aab0778255d5:employer:technologies",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.14542ef1fdfe935031",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "8fac43eca1d1c3da7c98aab0778255d5",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:4f3fbc0e7c4ec48fb50c3a9c",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5f49d87ac79943633c",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "8fac43eca1d1c3da7c98aab0778255d5",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer contains \"technologies\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e026ebabb8150cdfd0",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "8fac43eca1d1c3da7c98aab0778255d5",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer contains \"dyneti\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.17ee65486ef73e99da",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "8fac43eca1d1c3da7c98aab0778255d5",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "sales",
          "matched_input": "dyneti technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:8fac43eca1d1c3da7c98aab0778255d5:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/5b61a88a-722c-427a-b57f-e2648e9f9d12",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/5b61a88a-722c-427a-b57f-e2648e9f9d12",
          "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/dyneti/5b61a88a-722c-427a-b57f-e2648e9f9d12",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/5b61a88a-722c-427a-b57f-e2648e9f9d12",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "e450aa9fc4d6be81d5521c7509e88b23",
      "title": "Product Marketing Manager",
      "employer_name": "Dyneti Technologies",
      "employer_slug": "dyneti-technologies",
      "location_text": "San Mateo | Hybrid | Remote",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/dyneti/df400076-5ebc-4098-ae98-5b86e23cfd0c",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Product Marketing Manager San Mateo | Hybrid | Remote About Us At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. Job Overview We're searching for a Product Marketing Manager (PMM) who can turn powerful technology into compelling stories that win markets. Reporting directly to the CEO, you'll own positioning, messaging, and go‑to‑market strategy for DyScan and future products. Responsibilities - Craft positioning & messaging - Build end-to-end GTM plans for product and feature launches - Lead market & competitive research - Build sales enablement - Own content strategy - Measure & optimize impact through experimentation Qualifications - 2+ years in product marketing, growth marketing, or solution consulting - Proven success launching products and features and driving measurable revenue impact. - Strong storyteller who can translate technical capabilities into business value. - Comfortable working cross‑functionally in a fast‑moving, experiment‑driven startup. - Bonus: experience with payments, fintech, risk, or anti‑fraud solutions. What We Offer - High impact: Own PMM from the ground up and shape how the world's biggest brands fight fraud. - Growth:",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 2,
      "years_experience_max": 9,
      "role_function": "marketing",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "seed",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.156f84ddd7ebdd407f",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "e450aa9fc4d6be81d5521c7509e88b23",
          "signal_type": "query_match",
          "display_text": "Description: \"dyneti\"",
          "tooltip": "Description matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Product Marketing Manager San Mateo | Hybrid | Remote About Us At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. Job Overview We're searching for a Product Marketing Manager (PMM) who can turn powerful technology into compelling stories that win markets. Reporting directly to the CEO, you'll own positioning, messaging, and go‑to‑market strategy for DyScan and future products. Responsibilities - Craft positioning & messaging - Build end-to-end GTM plans for product and feature launches - Lead market & competitive research - Build sales enablement - Own content strategy - Measure & optimize impact through experimentation Qualifications - 2+ years in product marketing, growth marketing, or solution consulting - Proven success launching products and features and driving measurable revenue impact. - Strong storyteller who can translate technical capabilities into business value. - Comfortable working cross‑functionally in a fast‑moving, experiment‑driven startup. - Bonus: experience with payments, fintech, risk, or anti‑fraud solutions. What We Offer - High impact: Own PMM from the ground up and shape how the world's biggest brands fight fraud. - Growth:",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:e450aa9fc4d6be81d5521c7509e88b23:description:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.512831eb45472acfa5",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "e450aa9fc4d6be81d5521c7509e88b23",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:e450aa9fc4d6be81d5521c7509e88b23:employer:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6cf2557a5bf2b82cb4",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "e450aa9fc4d6be81d5521c7509e88b23",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer matched \"technologies\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:e450aa9fc4d6be81d5521c7509e88b23:employer:technologies",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.79a4b16a526accd148",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "e450aa9fc4d6be81d5521c7509e88b23",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:bbfb02d0a8510274692afa31",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0b765af9b084e85a97",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "e450aa9fc4d6be81d5521c7509e88b23",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer contains \"dyneti\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ba00198e3750711e85",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "e450aa9fc4d6be81d5521c7509e88b23",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer contains \"technologies\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.728a1fdc9ffb75244e",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "e450aa9fc4d6be81d5521c7509e88b23",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "marketing",
          "matched_input": "dyneti technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:e450aa9fc4d6be81d5521c7509e88b23:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/df400076-5ebc-4098-ae98-5b86e23cfd0c",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/df400076-5ebc-4098-ae98-5b86e23cfd0c",
          "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/dyneti/df400076-5ebc-4098-ae98-5b86e23cfd0c",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/df400076-5ebc-4098-ae98-5b86e23cfd0c",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "90831389201a62f7d75a1a8b255dcb04",
      "title": "Executive and Personal Assistant",
      "employer_name": "Dyneti Technologies",
      "employer_slug": "dyneti-technologies",
      "location_text": "San Mateo | Hybrid | Remote",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/dyneti/73d9555e-2187-4c37-85c3-d5973288ec55",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Executive and Personal Assistant San Mateo | Hybrid | Remote EXECUTIVE AND PERSONAL ASSISTANT ABOUT US At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. JOB OVERVIEW We are seeking a proactive and highly organized Executive and Personal Assistant to support our CEO. If you thrive in a fast-paced startup environment and are passionate about enabling leaders to execute at their best, we'd love to hear from you. RESPONSIBILITIES - Manage calendars, schedule meetings, and coordinate travel arrangements for the CEO - Plan and coordinate events - Manage personal appointments, household vendors, and light errands - Support family logistics - Handle confidential information with discretion - Support special projects as needed QUALIFICATIONS - Bachelor's degree or equivalent experience - Outstanding organizational and multitasking skills - Excellent verbal and written communication - Ability to work independently and adapt quickly to changing priorities WHAT WE OFFER - High-impact role with visibility into company operations and strategy - Opportunity to work closely with a dynamic, innovative founding team - Supportive, collaborative work culture IN THE",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "operations",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "seed",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f66ebf3142f8c39e2f",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "90831389201a62f7d75a1a8b255dcb04",
          "signal_type": "query_match",
          "display_text": "Description: \"dyneti\"",
          "tooltip": "Description matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Executive and Personal Assistant San Mateo | Hybrid | Remote EXECUTIVE AND PERSONAL ASSISTANT ABOUT US At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. JOB OVERVIEW We are seeking a proactive and highly organized Executive and Personal Assistant to support our CEO. If you thrive in a fast-paced startup environment and are passionate about enabling leaders to execute at their best, we'd love to hear from you. RESPONSIBILITIES - Manage calendars, schedule meetings, and coordinate travel arrangements for the CEO - Plan and coordinate events - Manage personal appointments, household vendors, and light errands - Support family logistics - Handle confidential information with discretion - Support special projects as needed QUALIFICATIONS - Bachelor's degree or equivalent experience - Outstanding organizational and multitasking skills - Excellent verbal and written communication - Ability to work independently and adapt quickly to changing priorities WHAT WE OFFER - High-impact role with visibility into company operations and strategy - Opportunity to work closely with a dynamic, innovative founding team - Supportive, collaborative work culture IN THE",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:90831389201a62f7d75a1a8b255dcb04:description:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.595b95780e77cd7aeb",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "90831389201a62f7d75a1a8b255dcb04",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:90831389201a62f7d75a1a8b255dcb04:employer:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6effb2a1347e09fe1f",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "90831389201a62f7d75a1a8b255dcb04",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer matched \"technologies\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:90831389201a62f7d75a1a8b255dcb04:employer:technologies",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.f1a35749db556f7c69",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "90831389201a62f7d75a1a8b255dcb04",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:d9554121fdfcc3ad623c7a97",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e9c362fb42841ddf4c",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "90831389201a62f7d75a1a8b255dcb04",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer contains \"technologies\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f76eaf50cf0c34e5d3",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "90831389201a62f7d75a1a8b255dcb04",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer contains \"dyneti\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.a576e677626db272c7",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "90831389201a62f7d75a1a8b255dcb04",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "operations",
          "matched_input": "dyneti technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:90831389201a62f7d75a1a8b255dcb04:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/73d9555e-2187-4c37-85c3-d5973288ec55",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/73d9555e-2187-4c37-85c3-d5973288ec55",
          "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/dyneti/73d9555e-2187-4c37-85c3-d5973288ec55",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/73d9555e-2187-4c37-85c3-d5973288ec55",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "04045f479d176c0db3bb74bb960f09b5",
      "title": "Growth Product Manager",
      "employer_name": "Dyneti Technologies",
      "employer_slug": "dyneti-technologies",
      "location_text": "San Mateo | Hybrid | Remote",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/dyneti/22c79585-18ac-41aa-b2e2-5f22355f95ac",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Growth Product Manager San Mateo | Hybrid | Remote About Us At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. Job Overview We are looking for a motivated Growth Product Manager to join our commercial team. You will work directly with the CEO to introduce Dyneti to new prospects through a variety of different customer acquisition channels. This is an excellent role for someone excited about taking on real-world go-to-market challenges in a fast-paced startup environment. Responsibilities - Build a master lead list - Design and execute experiments to test new customer acquisition channels, including in-person events, conferences, and email and LinkedIn outbound campaigns - Create and implement account management strategy - Develop crisp, differentiated narratives that resonate with developers, product leaders, and risk teams. Qualifications - Bachelor's degree - 2+ years of product management, product marketing, or strategy consulting experience - Enthusiasm to learn and work in a fast-paced startup environment - Prior experience working at a startup is preferred but not required In the News - https://techcrunch.com/2019/03/19/best-of-y-combinator/ - https://www.builtinsf.com/2020/1/21/50-san-francisco-startups-watch-2020 -",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 2,
      "years_experience_max": 9,
      "role_function": "product",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "seed",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.02a70bce06420b4c38",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "04045f479d176c0db3bb74bb960f09b5",
          "signal_type": "query_match",
          "display_text": "Description: \"dyneti\"",
          "tooltip": "Description matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Growth Product Manager San Mateo | Hybrid | Remote About Us At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. Job Overview We are looking for a motivated Growth Product Manager to join our commercial team. You will work directly with the CEO to introduce Dyneti to new prospects through a variety of different customer acquisition channels. This is an excellent role for someone excited about taking on real-world go-to-market challenges in a fast-paced startup environment. Responsibilities - Build a master lead list - Design and execute experiments to test new customer acquisition channels, including in-person events, conferences, and email and LinkedIn outbound campaigns - Create and implement account management strategy - Develop crisp, differentiated narratives that resonate with developers, product leaders, and risk teams. Qualifications - Bachelor's degree - 2+ years of product management, product marketing, or strategy consulting experience - Enthusiasm to learn and work in a fast-paced startup environment - Prior experience working at a startup is preferred but not required In the News - https://techcrunch.com/2019/03/19/best-of-y-combinator/ - https://www.builtinsf.com/2020/1/21/50-san-francisco-startups-watch-2020 -",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:04045f479d176c0db3bb74bb960f09b5:description:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.09fe019bf9f8879b89",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "04045f479d176c0db3bb74bb960f09b5",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:04045f479d176c0db3bb74bb960f09b5:employer:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0be6f31e23fa92749e",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "04045f479d176c0db3bb74bb960f09b5",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer matched \"technologies\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:04045f479d176c0db3bb74bb960f09b5:employer:technologies",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.ff46aad28bc2dfbe5a",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "04045f479d176c0db3bb74bb960f09b5",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:1c1df80941e9e26042e4021b",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8406fb57556c05de6f",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "04045f479d176c0db3bb74bb960f09b5",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer contains \"dyneti\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c788ae643352d35048",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "04045f479d176c0db3bb74bb960f09b5",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer contains \"technologies\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.936466083f7351b30c",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "04045f479d176c0db3bb74bb960f09b5",
          "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": "product",
          "matched_input": "dyneti technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:04045f479d176c0db3bb74bb960f09b5:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/22c79585-18ac-41aa-b2e2-5f22355f95ac",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/22c79585-18ac-41aa-b2e2-5f22355f95ac",
          "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/dyneti/22c79585-18ac-41aa-b2e2-5f22355f95ac",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/22c79585-18ac-41aa-b2e2-5f22355f95ac",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "cf50741a1e356f300ed36dabf3a72744",
      "title": "Other",
      "employer_name": "Dyneti Technologies",
      "employer_slug": "dyneti-technologies",
      "location_text": "San Mateo | Hybrid | Remote",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/dyneti/43e671df-9429-4915-9932-0655bfa8f45c",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Other San Mateo | Hybrid | Remote We are always looking for talented individuals to join our team. If you want to work at Dyneti but don't see an open role that fits your experience, feel free to drop your resume and a few quick sentences about what you're interested in working on.",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "other",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "seed",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.68f4672cea9cfa3f05",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "cf50741a1e356f300ed36dabf3a72744",
          "signal_type": "query_match",
          "display_text": "Description: \"dyneti\"",
          "tooltip": "Description matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Other San Mateo | Hybrid | Remote We are always looking for talented individuals to join our team. If you want to work at Dyneti but don't see an open role that fits your experience, feel free to drop your resume and a few quick sentences about what you're interested in working on.",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:cf50741a1e356f300ed36dabf3a72744:description:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3802075d32ebf12a73",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "cf50741a1e356f300ed36dabf3a72744",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:cf50741a1e356f300ed36dabf3a72744:employer:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.beae51bb3a3a312171",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "cf50741a1e356f300ed36dabf3a72744",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer matched \"technologies\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:cf50741a1e356f300ed36dabf3a72744:employer:technologies",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.d895367044862852d0",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "cf50741a1e356f300ed36dabf3a72744",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:3fd3504c67d57bd270e0a8b7",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7987f3b73836d0d8a2",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "cf50741a1e356f300ed36dabf3a72744",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer contains \"technologies\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b4d071b211faa947d6",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "cf50741a1e356f300ed36dabf3a72744",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer contains \"dyneti\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.98907d40d274113d12",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "cf50741a1e356f300ed36dabf3a72744",
          "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": "dyneti technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:cf50741a1e356f300ed36dabf3a72744:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/43e671df-9429-4915-9932-0655bfa8f45c",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/43e671df-9429-4915-9932-0655bfa8f45c",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/43e671df-9429-4915-9932-0655bfa8f45c",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "bd01f2a3d31cfce0c8fc05c8330a2a1b",
      "title": "Deep Learning Engineer",
      "employer_name": "Dyneti Technologies",
      "employer_slug": "dyneti-technologies",
      "location_text": "San Mateo | Hybrid | Remote",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/dyneti/72a64427-8e94-4f5f-86b7-737fe6ec80ed",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Deep Learning Engineer San Mateo | Hybrid | Remote About Us At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. Job Overview Join Dyneti as part of the founding engineering team. You will have the opportunity to work closely with the CEO to build new features and roll out new products - all in the deep learning space. We're Looking for Someone Who - Enjoys significant ownership over user-facing product - Can work independently - Is comfortable turning research papers into product - Has 2+ years experience with deep learning or has a PhD in a STEM field - Builds with a product-first approach. You ship code quickly and care about the real world impact of your code. - Python expertise strongly preferred - however, candidates with deep learning experience in a different language will be considered - Familiarity with Tensorflow preferred In the News - https://techcrunch.com/2019/03/19/best-of-y-combinator/ - https://www.builtinsf.com/2020/1/21/50-san-francisco-startups-watch-2020 - https://www.bizjournals.com/sanfrancisco/news/2021/07/23/0723-wwl-youngguns.html Dyneti is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 2,
      "years_experience_max": 6,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "seed",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.5a081cab6d28e47aa7",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "bd01f2a3d31cfce0c8fc05c8330a2a1b",
          "signal_type": "query_match",
          "display_text": "Description: \"dyneti\"",
          "tooltip": "Description matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Deep Learning Engineer San Mateo | Hybrid | Remote About Us At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. Job Overview Join Dyneti as part of the founding engineering team. You will have the opportunity to work closely with the CEO to build new features and roll out new products - all in the deep learning space. We're Looking for Someone Who - Enjoys significant ownership over user-facing product - Can work independently - Is comfortable turning research papers into product - Has 2+ years experience with deep learning or has a PhD in a STEM field - Builds with a product-first approach. You ship code quickly and care about the real world impact of your code. - Python expertise strongly preferred - however, candidates with deep learning experience in a different language will be considered - Familiarity with Tensorflow preferred In the News - https://techcrunch.com/2019/03/19/best-of-y-combinator/ - https://www.builtinsf.com/2020/1/21/50-san-francisco-startups-watch-2020 - https://www.bizjournals.com/sanfrancisco/news/2021/07/23/0723-wwl-youngguns.html Dyneti is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:bd01f2a3d31cfce0c8fc05c8330a2a1b:description:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.659ca6a1d9be2157b9",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "bd01f2a3d31cfce0c8fc05c8330a2a1b",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer matched \"technologies\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:bd01f2a3d31cfce0c8fc05c8330a2a1b:employer:technologies",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b8a317fe69fa00a093",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "bd01f2a3d31cfce0c8fc05c8330a2a1b",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer matched \"dyneti\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:bd01f2a3d31cfce0c8fc05c8330a2a1b:employer:dyneti",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.2441e50036238b7057",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "bd01f2a3d31cfce0c8fc05c8330a2a1b",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:dc9234a09a22a2f46a8cb392",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ad7174edfcdc22f784",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "bd01f2a3d31cfce0c8fc05c8330a2a1b",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer contains \"technologies\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "technologies",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c5a47651bc84a3863f",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "bd01f2a3d31cfce0c8fc05c8330a2a1b",
          "signal_type": "query_match",
          "display_text": "Employer: \"dyneti\"",
          "tooltip": "Employer contains \"dyneti\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Dyneti Technologies",
          "matched_input": "dyneti",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.a8266f02d806fd1631",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "bd01f2a3d31cfce0c8fc05c8330a2a1b",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "dyneti technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:bd01f2a3d31cfce0c8fc05c8330a2a1b:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/72a64427-8e94-4f5f-86b7-737fe6ec80ed",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/72a64427-8e94-4f5f-86b7-737fe6ec80ed",
          "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/dyneti/72a64427-8e94-4f5f-86b7-737fe6ec80ed",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/dyneti/72a64427-8e94-4f5f-86b7-737fe6ec80ed",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "f14a3e12ed6d1e6d56fcc56c38b1324b",
      "title": "DFT Engineer, Automotive Robotics",
      "employer_name": "TensTorrent",
      "employer_slug": "tenstorrent",
      "location_text": "Munich, Germany",
      "country": "DE",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "CAD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-02-28T11:45:04.000Z",
      "apply_url": "https://job-boards.greenhouse.io/tenstorrent/jobs/5064078007",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "DFT Engineer, Automotive Robotics Munich, Germany Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. As part of Tenstorrent's Automotive Robotics team, you will help design and deliver the core hardware modules inside our next generation chiplet based SoCs for automotive products. You will be the bridge between silicon design, DFT, OSAT partners, and customers to ensure our multi die SiP platforms meet aggressive performance, quality, and safety targets. This role is remote, based in Munich, Germany. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are - Experienced with industry standard ATPG and DFx insertion CAD tools. - Fluent in RTL coding for DFx logic including lock-up latches, clock gates, and scan anchors. - Able to translate system and safety requirements into concrete constraints on package architecture, DFT insertion, and support test engineering with planning,",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 10,
      "years_experience_max": 14,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.a130250eff4713f4f8",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "f14a3e12ed6d1e6d56fcc56c38b1324b",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "DFT Engineer, Automotive Robotics",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:ca0dcd8868a1826637bcb037",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.477a335fc85a96ad62",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "f14a3e12ed6d1e6d56fcc56c38b1324b",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "dyneti technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:f14a3e12ed6d1e6d56fcc56c38b1324b:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/tenstorrent/jobs/5064078007",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/tenstorrent/jobs/5064078007",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "d94cff8aa1bfdb9f85f145e9e6e83664",
      "title": "DFT Design Engineer, Machine Learning Acceleration",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "Austin, Texas, USA",
      "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": 136000,
      "salary_max": 184000,
      "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": 136000,
      "base_salary_max": 184000,
      "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": 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": "2026-03-06T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/3198587/dft-design-engineer-machine-learning-acceleration",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "DFT Design Engineer, Machine Learning Acceleration Austin, Texas, USA Custom SoCs (System on Chip) are at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team, you'll be responsible for designing and optimizing hardware in our data centers, including AWS Inferentia and Trainium systems-our custom-designed machine learning inference and training servers. Our success depends on world-class server infrastructure as we handle massive scale and rapidly integrate emerging technologies. We're looking for an ASIC DFT Design Engineer to help us trailblaze new technologies and architectures while ensuring high design quality and making the right trade-offs. Key job responsibilities • Define and develop state-of-the-art Design for Test (DFT) architectures for advanced technology nodes • Work closely with block designers and physical design (PD) team to implement highly efficient DFT solutions • Perform RTL coding and Verification using Verilog/System Verilog • Utilize industry standard DFT tools to create high coverage and cost-effective test patterns to target advanced silicon defects • Participate in Silicon debug efforts alongside ATE and System teams • Communicate and work with team members across multiple disciplines Basic Qualifications: - Bachelor's degree in Electrical or Communications Engineering or a related field - 5+ years of practical DFT experience with complex SoC designs in advanced technology nodes - Experience with standard tools and practices in DFT, including ATPG, JTAG, MBIST and trade-offs between test quality and test time - Experience with automation script development Preferred Qualifications: - Master's degree in Electrical or Communications Engineering",
      "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": 56,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-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"
        },
        "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"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "assessment_required": {
          "field": "assessment_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "assessment_required"
        },
        "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": 5,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "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": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.description_excerpt.781ea62b8ba1d6a7d1",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "d94cff8aa1bfdb9f85f145e9e6e83664",
          "signal_type": "query_match",
          "display_text": "Description: semantic match",
          "tooltip": "Description provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "description_excerpt",
          "source_value": "DFT Design Engineer, Machine Learning Acceleration Austin, Texas, USA Custom SoCs (System on Chip) are at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team, you'll be responsible for designing and optimizing hardware in our data centers, including AWS Inferentia and Trainium systems-our custom-designed machine learning inference and training servers. Our success depends on world-class server infrastructure as we handle massive scale and rapidly integrate emerging technologies. We're looking for an ASIC DFT Design Engineer to help us trailblaze new technologies and architectures while ensuring high design quality and making the right trade-offs. Key job responsibilities • Define and develop state-of-the-art Design for Test (DFT) architectures for advanced technology nodes • Work closely with block designers and physical design (PD) team to implement highly efficient DFT solutions • Perform RTL coding and Verification using Verilog/System Verilog • Utilize industry standard DFT tools to create high coverage and cost-effective test patterns to target advanced silicon defects • Participate in Silicon debug efforts alongside ATE and System teams • Communicate and work with team members across multiple disciplines Basic Qualifications: - Bachelor's degree in Electrical or Communications Engineering or a related field - 5+ years of practical DFT experience with complex SoC designs in advanced technology nodes - Experience with standard tools and practices in DFT, including ATPG, JTAG, MBIST and trade-offs between test quality and test time - Experience with automation script development Preferred Qualifications: - Master's degree in Electrical or Communications Engineering",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:882cd5345b6ef264a2d8c700",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.58c7711ffddaa467c9",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "d94cff8aa1bfdb9f85f145e9e6e83664",
          "signal_type": "query_match",
          "display_text": "Description: \"technologies\"",
          "tooltip": "Description contains \"technologies\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "DFT Design Engineer, Machine Learning Acceleration Austin, Texas, USA Custom SoCs (System on Chip) are at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team, you'll be responsible for designing and optimizing hardware in our data centers, including AWS Inferentia and Trainium systems-our custom-designed machine learning inference and training servers. Our success depends on world-class server infrastructure as we handle massive scale and rapidly integrate emerging technologies. We're looking for an ASIC DFT Design Engineer to help us trailblaze new technologies and architectures while ensuring high design quality and making the right trade-offs. Key job responsibilities • Define and develop state-of-the-art Design for Test (DFT) architectures for advanced technology nodes • Work closely with block designers and physical design (PD) team to implement highly efficient DFT solutions • Perform RTL coding and Verification using Verilog/System Verilog • Utilize industry standard DFT tools to create high coverage and cost-effective test patterns to target advanced silicon defects • Participate in Silicon debug efforts alongside ATE and System teams • Communicate and work with team members across multiple disciplines Basic Qualifications: - Bachelor's degree in Electrical or Communications Engineering or a related field - 5+ years of practical DFT experience with complex SoC designs in advanced technology nodes - Experience with standard tools and practices in DFT, including ATPG, JTAG, MBIST and trade-offs between test quality and test time - Experience with automation script development Preferred Qualifications: - Master's degree in Electrical or Communications Engineering",
          "matched_input": "technologies",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.08b760330b50dd8c8b",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "d94cff8aa1bfdb9f85f145e9e6e83664",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "dyneti technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:d94cff8aa1bfdb9f85f145e9e6e83664: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": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3198587/dft-design-engineer-machine-learning-acceleration",
          "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.amazon.jobs/en/jobs/3198587/dft-design-engineer-machine-learning-acceleration",
          "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.amazon.jobs/en/jobs/3198587/dft-design-engineer-machine-learning-acceleration",
          "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/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/3198587/dft-design-engineer-machine-learning-acceleration",
          "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/3198587/dft-design-engineer-machine-learning-acceleration",
          "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/3198587/dft-design-engineer-machine-learning-acceleration",
          "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/3198587/dft-design-engineer-machine-learning-acceleration",
          "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/3198587/dft-design-engineer-machine-learning-acceleration",
          "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/3198587/dft-design-engineer-machine-learning-acceleration",
          "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/3198587/dft-design-engineer-machine-learning-acceleration",
          "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/3198587/dft-design-engineer-machine-learning-acceleration",
          "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/3198587/dft-design-engineer-machine-learning-acceleration",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "c9fcb44901f9d8d111205ce24469b296",
      "title": "ASIC DFT DV Technical Leader",
      "employer_name": "ThousandEyes",
      "employer_slug": "thousandeyes",
      "location_text": "Armenia, Armenia",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-02-11T00:00:00.000Z",
      "apply_url": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/Armenia/ASIC-DFT-DV-Technical-Leader_2006867/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "ASIC DFT DV Technical Leader Armenia, Armenia Join our team as an ASIC DFT DV Technical Leader, where you will drive innovation in hardware DFT strategies and enhance product quality. Collaborate with cross-functional teams to develop comprehensive test benches and mentor junior engineers. If you have a passion for solving complex challenges in silicon design, we want to hear from you!",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 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"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.483bc81e75cd922fc1",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "c9fcb44901f9d8d111205ce24469b296",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "ASIC DFT DV Technical Leader",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:6484d8b328aca45197ad5d50",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.17aba2758971d893a0",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "c9fcb44901f9d8d111205ce24469b296",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "dyneti technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:c9fcb44901f9d8d111205ce24469b296:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/Armenia/ASIC-DFT-DV-Technical-Leader_2006867/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://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/Armenia/ASIC-DFT-DV-Technical-Leader_2006867/apply",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "efcb3a615c8be65cb45a55f569a4c109",
      "title": "Technical Leader DFT & STA",
      "employer_name": "Cisco",
      "employer_slug": "cisco",
      "location_text": "Armenia",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/Armenia/Engineering-Technical-Leader_2006611",
      "apply_url_verified": true,
      "ats": "workday",
      "url_last_checked_alive": "2026-08-10T03:54:55.257Z",
      "removed_at": null,
      "description_excerpt": "Technical Leader DFT & STA Armenia Meet the team Join the Silicon One Team at Cisco, a group at the forefront of developing Cisco's groundbreaking silicon architecture. We are a collaborative unit focused on pushing the boundaries of ASIC design for advanced process nodes. As part of our team, you will contribute to defining innovative Physical Design methodologies and creating robust flows essential for developing our complex chips. You will also have the opportunity to work hands-on with the Physical Design of intricate chip partitions. Your Impact You are a detail-oriented DFT Timing Engineer with strong analytical skills and a deep understanding of timing constraints, such as clock groups, various exceptions, clock exclusivity. You will collaborate effectively with cross-functional teams, communicate complex timing data clearly. Responsibilities will include: Developing timing constraints at block, sub-chip, and full-chip levels in test modes, performing quality checks such as duplicated constraints, promotion/demotion between block and top level SDCs. Check timing for unconstrained endpoints, no clock, etc. Your role may include SDC validation, CDC delay check, and SDC flow development. Developing methodologies, guidelines, and checklists to streamline STA work, resolve design and flow issues, and drive execution to ensure progress and accuracy. Minimum Qualifications Bachelor's degree in electrical or computer engineering (or other equivalent field) with 8+ years of related work experience. Experience with block/full chip SDC development in test modes (scan shift, scan capture, atpg capture modes). Expertise in Static Timing Analysis and prior working experience with STA tools like PrimeTime. Programming skills 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": 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/858877/000085887725000111/csco-20250726.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/858877/000085887725000111/csco-20250726.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": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.f88ecd2ec431d5ae86",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "efcb3a615c8be65cb45a55f569a4c109",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Technical Leader DFT & STA",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:95b9b54cbbe4da0ebbb7a051",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.2722e4922508858f24",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "efcb3a615c8be65cb45a55f569a4c109",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "dyneti technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:efcb3a615c8be65cb45a55f569a4c109: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
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.apply.dd098eef00c26f1439",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "efcb3a615c8be65cb45a55f569a4c109",
          "signal_type": "trust_signal",
          "display_text": "Apply link reachable when checked",
          "tooltip": "The apply URL was reachable during the last recorded crawl-time liveness check; this is not a live guarantee.",
          "source_binding": "row_trust_evidence",
          "source_field": "apply_url_verified",
          "source_value": true,
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 10,
          "mobile_priority": 11,
          "ui": {
            "icon": "ExternalLink",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/Armenia/Engineering-Technical-Leader_2006611",
            "source_label": "Apply link",
            "source_date": "2026-08-10T03:54:55.257Z"
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": null,
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": "2026-08-10T03:54:55.257Z",
      "apply_url_verification_status": "reachable_when_last_checked",
      "apply_url_verification_label": "Reachable when checked at 2026-08-10T03:54:55.257Z",
      "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/858877/000085887725000111/csco-20250726.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/858877/000085887725000111/csco-20250726.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-13T01:18:42.546Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/Armenia/Engineering-Technical-Leader_2006611",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/Armenia/Engineering-Technical-Leader_2006611",
          "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": "b6b88b2e61054f4b5855eea2ce687af4",
      "title": "Technology Strategy Consultant – Enterprise Technology",
      "employer_name": "U.S. Bancorp",
      "employer_slug": "u-s-bancorp",
      "location_text": "Hopkins, MN, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": 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": "2026-05-27T00:00:00.000Z",
      "apply_url": "https://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Hopkins-MN/Technology-Strategy-Consultant_2026-0014102-1/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Technology Strategy Consultant – Enterprise Technology Hopkins, MN, United States The individual operates upstream of implementation, partnering closely with executive‑level technology leaders and senior stakeholders to shape and communicate technology strategy, translate complex a...",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 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/36104/000003610426000011/usb-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/36104/000003610426000011/usb-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": 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.title.5cefb990aaa8f0dc58",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "b6b88b2e61054f4b5855eea2ce687af4",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Technology Strategy Consultant – Enterprise Technology",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:c5ec003bd1adc2a6ff560a6c",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "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/36104/000003610426000011/usb-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/36104/000003610426000011/usb-20251231.htm"
          ],
          "checked_at": null
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-13T01:18:42.546Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Hopkins-MN/Technology-Strategy-Consultant_2026-0014102-1/apply",
          "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://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Hopkins-MN/Technology-Strategy-Consultant_2026-0014102-1/apply",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "57b0c5630fd5040847d5cf0c0783e5ed",
      "title": "Senior Staff DFT MBIST Engineer",
      "employer_name": "d-Matrix",
      "employer_slug": "d-matrix",
      "location_text": "Bangalore, Karnataka, India",
      "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": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2025-11-11T18:53:22.959Z",
      "apply_url": "https://jobs.ashbyhq.com/d-matrix/3861b942-ca1f-4ca7-aa6f-5e5af37907e2",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Staff DFT MBIST Engineer Bangalore, Karnataka, India At d-Matrix , we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive , and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together , we can help shape the endless possibilities of AI. Location: Hybrid, working onsite at our Bengaluru, Karnataka, headquarters 3-5 days per week. Senior Staff DFT MBIST Engineer D-Matrix is searching for an experienced DFX Engineer to join the fast-growing DFT design team. You will be responsible for defining, specifying, and implementing current and future DFX solutions for AI Accelerators SoCs. We're revolutionizing AI acceleration with Digital In-Memory Computing (DIMC) and heterogeneous chiplet architectures, delivering unprecedented efficiency for data centers and large language models (LLMs). As a Series B startup backed by industry giants, we combine the agility of a disruptor with the technical ambition of a market leader. Join a dynamic team and give a boost to your personal career in a challenging and fascinating ever-growing, never-boring area! We look forward to welcoming you to the team! Your Responsibilities Will Include: - Partitioning for ATPG and hierarchical approaches - ATPG compression and serialization - RTL-Scan insertion",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "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": 7,
      "years_experience_max": 11,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "series_b",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": 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.semantic.title.af530800d450f4a92b",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "57b0c5630fd5040847d5cf0c0783e5ed",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Senior Staff DFT MBIST Engineer",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:121f262aa16b34ccc380fe57",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.d9202b36e14fc7068d",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "57b0c5630fd5040847d5cf0c0783e5ed",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "dyneti technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:57b0c5630fd5040847d5cf0c0783e5ed:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/d-matrix/3861b942-ca1f-4ca7-aa6f-5e5af37907e2",
          "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/d-matrix/3861b942-ca1f-4ca7-aa6f-5e5af37907e2",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/d-matrix/3861b942-ca1f-4ca7-aa6f-5e5af37907e2",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "f96add75c7d9ffaf2901497f9996cc18",
      "title": "Welder II (Onsite)",
      "employer_name": "Raytheon Technologies",
      "employer_slug": "raytheon-technologies",
      "location_text": "US-TX-SAN MARCOS-2005 ~ 2005 Technology Wy ~ TECHNOLOGY",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "onsite",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 5,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": 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": "2026-05-27T00:00:00.000Z",
      "apply_url": "https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-TX-SAN-MARCOS-2005--2005-Technology-Wy--TECHNOLOGY/Welder-II--Onsite-_01845552-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Welder II (Onsite) US-TX-SAN MARCOS-2005 ~ 2005 Technology Wy ~ TECHNOLOGY posted: Posted 16 Days Ago",
      "parental_leave_weeks": 4,
      "non_birth_parent_leave_weeks": 4,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.rtx.com/-/media/rtx/social-impact/our-esg-vision/2022-05/2021%20rtx%20esg%20report.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 73,
      "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/101829/000010182926000006/rtx-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/101829/000010182926000006/rtx-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.rtx.com/-/media/rtx/social-impact/our-esg-vision/2022-05/2021%20rtx%20esg%20report.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.rtx.com/-/media/rtx/social-impact/our-esg-vision/2022-05/2021%20rtx%20esg%20report.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.rtx.com/-/media/rtx/social-impact/our-esg-vision/2022-05/2021%20rtx%20esg%20report.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.rtx.com/-/media/rtx/social-impact/our-esg-vision/2022-05/2021%20rtx%20esg%20report.pdf"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "trades",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.801ae9139290eee194",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "f96add75c7d9ffaf2901497f9996cc18",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer matched \"technologies\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Raytheon Technologies",
          "matched_input": "technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:f96add75c7d9ffaf2901497f9996cc18:employer:technologies",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.a5c5872712eda3b190",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "f96add75c7d9ffaf2901497f9996cc18",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Raytheon Technologies",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:a5d73649ee1cbd2df102c390",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a5f5cf1db2d8f972b8",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "f96add75c7d9ffaf2901497f9996cc18",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer contains \"technologies\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Raytheon Technologies",
          "matched_input": "technologies",
          "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": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-TX-SAN-MARCOS-2005--2005-Technology-Wy--TECHNOLOGY/Welder-II--Onsite-_01845552-1",
          "source_values": [
            "rule:remote_status"
          ],
          "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/101829/000010182926000006/rtx-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/101829/000010182926000006/rtx-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-TX-SAN-MARCOS-2005--2005-Technology-Wy--TECHNOLOGY/Welder-II--Onsite-_01845552-1",
          "source_values": [
            "https://www.rtx.com/-/media/rtx/social-impact/our-esg-vision/2022-05/2021%20rtx%20esg%20report.pdf"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-TX-SAN-MARCOS-2005--2005-Technology-Wy--TECHNOLOGY/Welder-II--Onsite-_01845552-1",
          "source_values": [
            "https://www.rtx.com/-/media/rtx/social-impact/our-esg-vision/2022-05/2021%20rtx%20esg%20report.pdf"
          ],
          "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://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-TX-SAN-MARCOS-2005--2005-Technology-Wy--TECHNOLOGY/Welder-II--Onsite-_01845552-1",
          "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://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-TX-SAN-MARCOS-2005--2005-Technology-Wy--TECHNOLOGY/Welder-II--Onsite-_01845552-1",
          "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": "e6f1841f5793e74143773e89d4f06511",
      "title": "DFT Design Engineer I, AWS Machine Learning Acceleration",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "Austin, Texas, USA",
      "country": "US",
      "employment_type": "internship",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 104000,
      "salary_max": 185000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "total_comp",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 104000,
      "base_salary_max": 185000,
      "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": 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": "2025-12-30T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/3150211/dft-design-engineer-i-aws-machine-learning-acceleration",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "DFT Design Engineer I, AWS Machine Learning Acceleration Austin, Texas, USA Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Silicon Optimization Engineering Team you'll be responsible for the design and optimization of hardware in our data centers. You'll contribute to the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities • Develop, implement and verify state-of-the-art Design for Test (DFT) architectures • Work with block designers to integrate DFT implementations • Work with physical design team to setup and implement DFT insertion flow • Develop high coverage and cost effective DFT methodologies • Perform RTL coding and Verification • Participate in Silicon debug and write scripts to effectively handle ATE related data • Communicate and work",
      "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": 56,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "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"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "equity_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/1018724/000101872426000004/amzn-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"
        },
        "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"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "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": "entry",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "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": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.description_excerpt.953068666e47cd88fa",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "e6f1841f5793e74143773e89d4f06511",
          "signal_type": "query_match",
          "display_text": "Description: semantic match",
          "tooltip": "Description provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "description_excerpt",
          "source_value": "DFT Design Engineer I, AWS Machine Learning Acceleration Austin, Texas, USA Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Silicon Optimization Engineering Team you'll be responsible for the design and optimization of hardware in our data centers. You'll contribute to the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities • Develop, implement and verify state-of-the-art Design for Test (DFT) architectures • Work with block designers to integrate DFT implementations • Work with physical design team to setup and implement DFT insertion flow • Develop high coverage and cost effective DFT methodologies • Perform RTL coding and Verification • Participate in Silicon debug and write scripts to effectively handle ATE related data • Communicate and work",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:76caddb1eecefc48f418f857",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e35c27166506b07d59",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "e6f1841f5793e74143773e89d4f06511",
          "signal_type": "query_match",
          "display_text": "Description: \"technologies\"",
          "tooltip": "Description contains \"technologies\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "DFT Design Engineer I, AWS Machine Learning Acceleration Austin, Texas, USA Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Silicon Optimization Engineering Team you'll be responsible for the design and optimization of hardware in our data centers. You'll contribute to the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities • Develop, implement and verify state-of-the-art Design for Test (DFT) architectures • Work with block designers to integrate DFT implementations • Work with physical design team to setup and implement DFT insertion flow • Develop high coverage and cost effective DFT methodologies • Perform RTL coding and Verification • Participate in Silicon debug and write scripts to effectively handle ATE related data • Communicate and work",
          "matched_input": "technologies",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.e9c2df6b2d09720dc6",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "e6f1841f5793e74143773e89d4f06511",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "dyneti technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:e6f1841f5793e74143773e89d4f06511: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": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3150211/dft-design-engineer-i-aws-machine-learning-acceleration",
          "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.amazon.jobs/en/jobs/3150211/dft-design-engineer-i-aws-machine-learning-acceleration",
          "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.amazon.jobs/en/jobs/3150211/dft-design-engineer-i-aws-machine-learning-acceleration",
          "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/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/3150211/dft-design-engineer-i-aws-machine-learning-acceleration",
          "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/3150211/dft-design-engineer-i-aws-machine-learning-acceleration",
          "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/3150211/dft-design-engineer-i-aws-machine-learning-acceleration",
          "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/3150211/dft-design-engineer-i-aws-machine-learning-acceleration",
          "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/3150211/dft-design-engineer-i-aws-machine-learning-acceleration",
          "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/3150211/dft-design-engineer-i-aws-machine-learning-acceleration",
          "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/3150211/dft-design-engineer-i-aws-machine-learning-acceleration",
          "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/3150211/dft-design-engineer-i-aws-machine-learning-acceleration",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "a8e6cffac9664f6f598430ee53fcb61f",
      "title": "Associate - Technology (Technology Asset Manager)",
      "employer_name": "PJT Partners Inc.",
      "employer_slug": "pjt-partners",
      "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": 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": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://pjtpartners.wd1.myworkdayjobs.com/Careers/job/New-York/Associate---Technology--Technology-Asset-Manager-_R0003371",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Associate - Technology (Technology Asset Manager) New York posted:",
      "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/1626115/000119312526076969/pjt-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/1626115/000119312526076969/pjt-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": "product",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.f1ae3e0f28cede4ee1",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "a8e6cffac9664f6f598430ee53fcb61f",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Associate - Technology (Technology Asset Manager)",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:9caec6b8fc9e620ba3625f5a",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "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/1626115/000119312526076969/pjt-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1626115/000119312526076969/pjt-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://pjtpartners.wd1.myworkdayjobs.com/Careers/job/New-York/Associate---Technology--Technology-Asset-Manager-_R0003371",
          "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://pjtpartners.wd1.myworkdayjobs.com/Careers/job/New-York/Associate---Technology--Technology-Asset-Manager-_R0003371",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "34dab091c71d6ea9384017fe073058c1",
      "title": "Electrical Mechanic - Hog Technologies",
      "employer_name": "Federal Signal Corp",
      "employer_slug": "federal-signal",
      "location_text": "Hog Technologies",
      "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": "2026-01-16T14:38:17.575Z",
      "apply_url": "https://recruiting2.ultipro.com/FED1002FSC/JobBoard/d5675b81-d6f5-4226-9f8c-be296cda2308/OpportunityDetail?opportunityId=ac5b6d1d-4cc8-41db-aaf7-7fc2685dd920",
      "apply_url_verified": false,
      "ats": "ukg_pro",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Electrical Mechanic - Hog Technologies Hog Technologies At Hog Technologies, our team members take pride in being passionate problem-solvers who embody our core values daily. We are dedicated to upholding the “anything, anytime, anywhere” philosophy. Joining Hog Technologies offers a career path that involves learning from industry-leading experts, engaging with impactful technologies, and fostering a drive for innovation. By becoming a part of our team of expert innovators and problem-solvers, you will contribute to delivering world-class solutions for our esteemed customers. Embrace the opportunity to be a part of something greater with Hog Technologies.",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/277509/000162828026011576/fss-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"
        },
        "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/277509/000162828026011576/fss-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": "trades",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Government",
      "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.2597e448c540be415a",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "34dab091c71d6ea9384017fe073058c1",
          "signal_type": "query_match",
          "display_text": "Description: \"technologies\"",
          "tooltip": "Description matched \"technologies\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Electrical Mechanic - Hog Technologies Hog Technologies At Hog Technologies, our team members take pride in being passionate problem-solvers who embody our core values daily. We are dedicated to upholding the “anything, anytime, anywhere” philosophy. Joining Hog Technologies offers a career path that involves learning from industry-leading experts, engaging with impactful technologies, and fostering a drive for innovation. By becoming a part of our team of expert innovators and problem-solvers, you will contribute to delivering world-class solutions for our esteemed customers. Embrace the opportunity to be a part of something greater with Hog Technologies.",
          "matched_input": "technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:34dab091c71d6ea9384017fe073058c1:description:technologies",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.71650e51e35b037136",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "34dab091c71d6ea9384017fe073058c1",
          "signal_type": "query_match",
          "display_text": "Location: \"technologies\"",
          "tooltip": "Location matched \"technologies\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Hog Technologies",
          "matched_input": "technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:34dab091c71d6ea9384017fe073058c1:location:technologies",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.abdd86e6948e60c7b2",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "34dab091c71d6ea9384017fe073058c1",
          "signal_type": "query_match",
          "display_text": "Title: \"technologies\"",
          "tooltip": "Title matched \"technologies\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Electrical Mechanic - Hog Technologies",
          "matched_input": "technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:34dab091c71d6ea9384017fe073058c1:title:technologies",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.740e6dd531c3d16e81",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "34dab091c71d6ea9384017fe073058c1",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Electrical Mechanic - Hog Technologies",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:8f3a54112d84b35872fdd3f8",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.1245d6870c1271269f",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "34dab091c71d6ea9384017fe073058c1",
          "signal_type": "query_match",
          "display_text": "Title: \"technologies\"",
          "tooltip": "Title contains \"technologies\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Electrical Mechanic - Hog Technologies",
          "matched_input": "technologies",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": null,
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/277509/000162828026011576/fss-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/277509/000162828026011576/fss-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": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://recruiting2.ultipro.com/FED1002FSC/JobBoard/d5675b81-d6f5-4226-9f8c-be296cda2308/OpportunityDetail?opportunityId=ac5b6d1d-4cc8-41db-aaf7-7fc2685dd920",
          "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://recruiting2.ultipro.com/FED1002FSC/JobBoard/d5675b81-d6f5-4226-9f8c-be296cda2308/OpportunityDetail?opportunityId=ac5b6d1d-4cc8-41db-aaf7-7fc2685dd920",
          "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": "8583132f209467597fd71c172be5bb89",
      "title": "Technology Licensing Specialist",
      "employer_name": "Tyler Technologies",
      "employer_slug": "tyler-technologies",
      "location_text": "Location not specified",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "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://jobs.jobvite.com/tylertech/job/oIpVzfwl",
      "apply_url_verified": false,
      "ats": "jobvite",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Technology Licensing Specialist Technology Licensing Specialist",
      "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/860731/000086073126000016/tyl-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/860731/000086073126000016/tyl-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": "product",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.119a02a2561928891d",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "8583132f209467597fd71c172be5bb89",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer matched \"technologies\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tyler Technologies",
          "matched_input": "technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:8583132f209467597fd71c172be5bb89:employer:technologies",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.9754113071947850f1",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "8583132f209467597fd71c172be5bb89",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tyler Technologies",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:2e39b2d7a204a27733824d1d",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.76a62e74ab02b39978",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "8583132f209467597fd71c172be5bb89",
          "signal_type": "query_match",
          "display_text": "Employer: \"technologies\"",
          "tooltip": "Employer contains \"technologies\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tyler Technologies",
          "matched_input": "technologies",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": null,
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/860731/000086073126000016/tyl-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/860731/000086073126000016/tyl-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://jobs.jobvite.com/tylertech/job/oIpVzfwl",
          "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://jobs.jobvite.com/tylertech/job/oIpVzfwl",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "00696928f23bb8de1fb940887ebc1184",
      "title": "Technology Business Systems Analyst - People Technology",
      "employer_name": "Dutch Bros Inc.",
      "employer_slug": "dutch-bros",
      "location_text": "Tempe, Arizona, United States of America",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "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": "2026-05-15T00:00:00.000Z",
      "apply_url": "https://dutchbros.wd1.myworkdayjobs.com/DBShops/job/1930-W-Rio-Salado-Pkwy-Tempe-AZ-85281/Job-Posting-Title-Technology-Business-Systems-Analyst---People-Technology_REQ-18355/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Technology Business Systems Analyst - People Technology Tempe, Arizona, United States of America We are looking for a technical, problem-solving Technology Business Analyst to join our People Technology Team at Dutch Bros Coffee. This role is essential in automating processes and delivering actionable insights to drive business success, all while leveraging Workday and enhancing our People Technology systems.",
      "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"
        },
        "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/1866581/000186658126000006/bros-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1866581/000186658126000006/bros-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": "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": 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.title.952bf2e8c02c4f50ef",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "00696928f23bb8de1fb940887ebc1184",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Technology Business Systems Analyst - People Technology",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:d222d5985c729a6d27f14274",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "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/1866581/000186658126000006/bros-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1866581/000186658126000006/bros-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": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://dutchbros.wd1.myworkdayjobs.com/DBShops/job/1930-W-Rio-Salado-Pkwy-Tempe-AZ-85281/Job-Posting-Title-Technology-Business-Systems-Analyst---People-Technology_REQ-18355/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://dutchbros.wd1.myworkdayjobs.com/DBShops/job/1930-W-Rio-Salado-Pkwy-Tempe-AZ-85281/Job-Posting-Title-Technology-Business-Systems-Analyst---People-Technology_REQ-18355/apply",
          "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://dutchbros.wd1.myworkdayjobs.com/DBShops/job/1930-W-Rio-Salado-Pkwy-Tempe-AZ-85281/Job-Posting-Title-Technology-Business-Systems-Analyst---People-Technology_REQ-18355/apply",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "f7d673a35951d66c2a7d5a2fca994d22",
      "title": "Staff Runtime Systems Engineer",
      "employer_name": "d-Matrix",
      "employer_slug": "d-matrix",
      "location_text": "Santa Clara, Santa Clara, Ca, Ca, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-05-15T16:01:51.790Z",
      "apply_url": "https://jobs.ashbyhq.com/d-matrix/747ebfe6-6641-4550-b0f0-50a33948a807",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Runtime Systems Engineer Santa Clara, Santa Clara, Ca, Ca, United States At d-Matrix , we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive , and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together , we can help shape the endless possibilities of AI. Location: Hybrid, working onsite at our Santa Clara, CA, headquarters 3 days per week. The role: Staff Runtime Systems Engineer What You Will Do: d-Matrix is developing an AI compute platform focusing on in-memory compute for AI inference in datacenters. This position is for runtime software engineering, working on the architecture, development, and validation of the functionality and efficiency of firmware/software that is executed on multiprocessor system-on-a-chip, low-level drivers, and systems software that hosts this SoC. In this role, you will be largely responsible for all aspects of runtime performance of the silicon product. You will architect, document, and develop the runtime firmware that executes in various on-chip multi-core CPU subsystems. You will be responsible for determining the delivery schedule and ensuring the software meets d-Matrix coding and methodology guidelines. You will collaborate with the hardware team, hardware verification team, and other members",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "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": 5,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.ce5c316e9547deee29",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "f7d673a35951d66c2a7d5a2fca994d22",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Staff Runtime Systems Engineer",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:5f0bc3db36ffd1fdf09c7071",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.f4a07ec1c1d0f3bb73",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "f7d673a35951d66c2a7d5a2fca994d22",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "dyneti technologies",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_68f3bf9103307d804188:f7d673a35951d66c2a7d5a2fca994d22:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/d-matrix/747ebfe6-6641-4550-b0f0-50a33948a807",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.ashbyhq.com/d-matrix/747ebfe6-6641-4550-b0f0-50a33948a807",
          "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/d-matrix/747ebfe6-6641-4550-b0f0-50a33948a807",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "4bd6c372d93fe4ddcb096c22f65f77d0",
      "title": "APAC Customer Technology Marketing Analyst",
      "employer_name": "United Parcel Service",
      "employer_slug": "united-parcel-service",
      "location_text": "SINGAPORE, Singapore",
      "country": "SG",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-04-28T00:00:00.000Z",
      "apply_url": "https://hcmportal.wd5.myworkdayjobs.com/Search/job/SG---UPS-HOUSE-SGSIG/APAC-Customer-Technology-Marketing-Analyst_R26013894/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "APAC Customer Technology Marketing Analyst SINGAPORE, Singapore The Customer Technology Marketing Analyst supports with the implementation and management of UPS's technology applications portfolio and assist in deploying technology product marketing strategies. He...",
      "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"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1090727/000162828026008432/ups-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"
        },
        "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/1090727/000162828026008432/ups-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "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": "marketing",
      "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.semantic.title.aee9c362c3c01a3125",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "4bd6c372d93fe4ddcb096c22f65f77d0",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "APAC Customer Technology Marketing Analyst",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:74e237facdd9bc228ef03315",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "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/1090727/000162828026008432/ups-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1090727/000162828026008432/ups-20251231.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://hcmportal.wd5.myworkdayjobs.com/Search/job/SG---UPS-HOUSE-SGSIG/APAC-Customer-Technology-Marketing-Analyst_R26013894/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://hcmportal.wd5.myworkdayjobs.com/Search/job/SG---UPS-HOUSE-SGSIG/APAC-Customer-Technology-Marketing-Analyst_R26013894/apply",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "32a9e9227092e2bd8fa92f57cc05ce44",
      "title": "Technology Strategy & Technology Advisory Intern",
      "employer_name": "Accenture plc",
      "employer_slug": "accenture",
      "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",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-15T00:00:00.000Z",
      "apply_url": "https://accenture.wd103.myworkdayjobs.com/accenturecareers/job/Milano/Technology-Strategy---Technology-Advisory-Intern_R00288639",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Technology Strategy & Technology Advisory Intern Location not specified posted: Posted 28 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1467373/000146737325000217/acn-20250831.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "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/1467373/000146737325000217/acn-20250831.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        }
      },
      "seniority": "entry",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 0,
      "years_experience_max": 4,
      "role_function": "product",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Professional Services",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.75bca2d2e55a91324b",
          "query_id": "gq_68f3bf9103307d804188",
          "job_id": "32a9e9227092e2bd8fa92f57cc05ce44",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Technology Strategy & Technology Advisory Intern",
          "matched_input": "dyneti technologies",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:ce3b1d207411cc22dfbbce5f",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": null,
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1467373/000146737325000217/acn-20250831.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1467373/000146737325000217/acn-20250831.htm"
          ],
          "checked_at": null
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://accenture.wd103.myworkdayjobs.com/accenturecareers/job/Milano/Technology-Strategy---Technology-Advisory-Intern_R00288639",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://accenture.wd103.myworkdayjobs.com/accenturecareers/job/Milano/Technology-Strategy---Technology-Advisory-Intern_R00288639",
          "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
        }
      }
    }
  ],
  "total": 9,
  "page": 1,
  "per_page": 24,
  "applied_filters": {
    "q": "Dyneti Technologies"
  },
  "hidden_unknown_benefits_count": 0,
  "hidden_quality_floor_count": 0,
  "quality_floor": "default",
  "search_profile": {
    "profile_id": "inv382.d6.pg_textsearch_bge_small_rrf.v1",
    "bm25_extension": "pg_textsearch",
    "vector_model": "BAAI/bge-small-en-v1.5",
    "vector_model_version": "v1.5",
    "fusion_method": "rrf"
  },
  "explanation_context": {
    "non_trivial_query": true,
    "query_terms": [
      "dyneti",
      "technologies"
    ],
    "active_filter_keys": [],
    "visible_signal_limit": 3,
    "visible_trust_limit": 2
  },
  "event_context": {
    "query_context": {
      "query_id": "e7a1c8bd-1d3d-4d94-98d7-48e6abaa3e8a",
      "issued_at": "2026-08-11T19:19:57.807Z",
      "route": "/jobs",
      "page": 1,
      "per_page": 24,
      "total_results": 9,
      "sort": "relevance",
      "ranking_policy": "hybrid_rrf_rerank",
      "ranking_policy_version": "inv382.jobs.search.v2",
      "query_hash": "hmac_sha256:eARORZXePchtJMhptGWibyopORD17oT11oBhaMlTDLI",
      "filter_hash": "hmac_sha256:6CBErDPXOFVCSNkSGbTmuw6GxoMjwSLro0KqZMtxL_0",
      "query_features": {
        "has_q": true,
        "q_term_count": 2,
        "q_length_bucket": "16_40",
        "q_pii_redacted": false,
        "state_count": 0,
        "benefit_filters": [],
        "quality_floor": "default"
      },
      "exposures": [
        {
          "result_id": "ea46646eff5ba3a2a04b7e8e2bd8c6d5",
          "position": 1,
          "page_position": 1,
          "retrieval_features": {
            "bm25_score": -18.89738941192627,
            "vector_score": 0.2900814625596536,
            "rrf_score": 0.030536130536130537,
            "rerank_score": 6.075311660766602,
            "text_match_title": false,
            "text_match_employer": true,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 62,
            "quality_score": 45
          }
        },
        {
          "result_id": "8b517226bc25165039465bb162b18aec",
          "position": 2,
          "page_position": 2,
          "retrieval_features": {
            "bm25_score": -19.344362258911133,
            "vector_score": 0.2536110655549483,
            "rrf_score": 0.032266458495966696,
            "rerank_score": 5.704468250274658,
            "text_match_title": false,
            "text_match_employer": true,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 62,
            "quality_score": 45
          }
        },
        {
          "result_id": "01908bd6f3c4ccf9127e01a6afe4e440",
          "position": 3,
          "page_position": 3,
          "retrieval_features": {
            "bm25_score": -19.344362258911133,
            "vector_score": 0.2714654424349803,
            "rrf_score": 0.03200204813108039,
            "rerank_score": 5.6737589836120605,
            "text_match_title": false,
            "text_match_employer": true,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 62,
            "quality_score": 45
          }
        },
        {
          "result_id": "8fac43eca1d1c3da7c98aab0778255d5",
          "position": 4,
          "page_position": 4,
          "retrieval_features": {
            "bm25_score": -17.802353858947754,
            "vector_score": 0.2803286099531829,
            "rrf_score": 0.03055037313432836,
            "rerank_score": 5.538806438446045,
            "text_match_title": false,
            "text_match_employer": true,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 62,
            "quality_score": 45
          }
        },
        {
          "result_id": "e450aa9fc4d6be81d5521c7509e88b23",
          "position": 5,
          "page_position": 5,
          "retrieval_features": {
            "bm25_score": -16.852689385414124,
            "vector_score": 0.33009920507965074,
            "rrf_score": 0.028991596638655463,
            "rerank_score": 5.295019626617432,
            "text_match_title": false,
            "text_match_employer": true,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 62,
            "quality_score": 45
          }
        },
        {
          "result_id": "90831389201a62f7d75a1a8b255dcb04",
          "position": 6,
          "page_position": 6,
          "retrieval_features": {
            "bm25_score": -16.25124740600586,
            "vector_score": 0.2807273054339675,
            "rrf_score": 0.029877369007803793,
            "rerank_score": 5.263707637786865,
            "text_match_title": false,
            "text_match_employer": true,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 62,
            "quality_score": 45
          }
        },
        {
          "result_id": "04045f479d176c0db3bb74bb960f09b5",
          "position": 7,
          "page_position": 7,
          "retrieval_features": {
            "bm25_score": -17.802353858947754,
            "vector_score": 0.3037006647497611,
            "rrf_score": 0.03007688828584351,
            "rerank_score": 4.613234519958496,
            "text_match_title": false,
            "text_match_employer": true,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 62,
            "quality_score": 45
          }
        },
        {
          "result_id": "cf50741a1e356f300ed36dabf3a72744",
          "position": 8,
          "page_position": 8,
          "retrieval_features": {
            "bm25_score": -20.712024688720703,
            "vector_score": 0.34379802178734575,
            "rrf_score": 0.0287391216352965,
            "rerank_score": 4.477522850036621,
            "text_match_title": false,
            "text_match_employer": true,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 62,
            "quality_score": 45
          }
        },
        {
          "result_id": "bd01f2a3d31cfce0c8fc05c8330a2a1b",
          "position": 9,
          "page_position": 9,
          "retrieval_features": {
            "bm25_score": -18.89738941192627,
            "vector_score": 0.26727189817214025,
            "rrf_score": 0.031754032258064516,
            "rerank_score": 3.999654769897461,
            "text_match_title": false,
            "text_match_employer": true,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 62,
            "quality_score": 45
          }
        },
        {
          "result_id": "f14a3e12ed6d1e6d56fcc56c38b1324b",
          "position": 10,
          "page_position": 10,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.34308181235437996,
            "rrf_score": 0.01282051282051282,
            "rerank_score": -6.74595308303833,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 164,
            "quality_score": 45
          }
        },
        {
          "result_id": "d94cff8aa1bfdb9f85f145e9e6e83664",
          "position": 11,
          "page_position": 11,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.3416049880267673,
            "rrf_score": 0.013157894736842105,
            "rerank_score": -7.826451301574707,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 158,
            "quality_score": 55
          }
        },
        {
          "result_id": "c9fcb44901f9d8d111205ce24469b296",
          "position": 12,
          "page_position": 12,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.33334871133122446,
            "rrf_score": 0.014084507042253521,
            "rerank_score": -8.244749069213867,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 181,
            "quality_score": 45
          }
        },
        {
          "result_id": "efcb3a615c8be65cb45a55f569a4c109",
          "position": 13,
          "page_position": 13,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.3407117324855381,
            "rrf_score": 0.013333333333333334,
            "rerank_score": -8.870017051696777,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 91,
            "quality_score": 45
          }
        },
        {
          "result_id": "b6b88b2e61054f4b5855eea2ce687af4",
          "position": 14,
          "page_position": 14,
          "retrieval_features": {
            "bm25_score": -3.2087485790252686,
            "vector_score": 0,
            "rrf_score": 0.014084507042253521,
            "rerank_score": -9.379450798034668,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 76,
            "quality_score": 45
          }
        },
        {
          "result_id": "57b0c5630fd5040847d5cf0c0783e5ed",
          "position": 15,
          "page_position": 15,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.32821458623874156,
            "rrf_score": 0.014705882352941176,
            "rerank_score": -9.523466110229492,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 273,
            "quality_score": 45
          }
        },
        {
          "result_id": "f96add75c7d9ffaf2901497f9996cc18",
          "position": 16,
          "page_position": 16,
          "retrieval_features": {
            "bm25_score": -3.172440528869629,
            "vector_score": 0,
            "rrf_score": 0.013157894736842105,
            "rerank_score": -9.578621864318848,
            "text_match_title": false,
            "text_match_employer": true,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 76,
            "quality_score": 35
          }
        },
        {
          "result_id": "e6f1841f5793e74143773e89d4f06511",
          "position": 17,
          "page_position": 17,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.33363916475655875,
            "rrf_score": 0.013888888888888888,
            "rerank_score": -9.804594039916992,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 224,
            "quality_score": 55
          }
        },
        {
          "result_id": "a8e6cffac9664f6f598430ee53fcb61f",
          "position": 18,
          "page_position": 18,
          "retrieval_features": {
            "bm25_score": -3.1818900108337402,
            "vector_score": 0,
            "rrf_score": 0.013513513513513514,
            "rerank_score": -9.84955883026123,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 62,
            "quality_score": 35
          }
        },
        {
          "result_id": "34dab091c71d6ea9384017fe073058c1",
          "position": 19,
          "page_position": 19,
          "retrieval_features": {
            "bm25_score": -3.1678051948547363,
            "vector_score": 0,
            "rrf_score": 0.012987012987012988,
            "rerank_score": -9.90582275390625,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 207,
            "quality_score": 45
          }
        },
        {
          "result_id": "8583132f209467597fd71c172be5bb89",
          "position": 20,
          "page_position": 20,
          "retrieval_features": {
            "bm25_score": -3.214034080505371,
            "vector_score": 0,
            "rrf_score": 0.014285714285714285,
            "rerank_score": -10.155619621276855,
            "text_match_title": false,
            "text_match_employer": true,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 62,
            "quality_score": 35
          }
        },
        {
          "result_id": "00696928f23bb8de1fb940887ebc1184",
          "position": 21,
          "page_position": 21,
          "retrieval_features": {
            "bm25_score": -3.190699815750122,
            "vector_score": 0,
            "rrf_score": 0.0136986301369863,
            "rerank_score": -10.163923263549805,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 88,
            "quality_score": 45
          }
        },
        {
          "result_id": "f7d673a35951d66c2a7d5a2fca994d22",
          "position": 22,
          "page_position": 22,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.33965875686231717,
            "rrf_score": 0.013513513513513514,
            "rerank_score": -10.473465919494629,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 88,
            "quality_score": 45
          }
        },
        {
          "result_id": "4bd6c372d93fe4ddcb096c22f65f77d0",
          "position": 23,
          "page_position": 23,
          "retrieval_features": {
            "bm25_score": -3.1673872470855713,
            "vector_score": 0,
            "rrf_score": 0.01282051282051282,
            "rerank_score": -10.474905014038086,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": false,
            "salary_disclosed": false,
            "posted_age_days": 105,
            "quality_score": 45
          }
        },
        {
          "result_id": "32a9e9227092e2bd8fa92f57cc05ce44",
          "position": 24,
          "page_position": 24,
          "retrieval_features": {
            "bm25_score": -3.1629104614257812,
            "vector_score": 0,
            "rrf_score": 0.012658227848101266,
            "rerank_score": -10.557832717895508,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 88,
            "quality_score": 35
          }
        }
      ]
    },
    "context_signature": "4g-SyGLIB6-2Mzh1m5DSgIwsXYotJSWfOkQ3hKWNHBk",
    "event_token": "4g-SyGLIB6-2Mzh1m5DSgIwsXYotJSWfOkQ3hKWNHBk"
  }
}