{
  "results": [
    {
      "id": "156cb2fae6bfd3841c7acd72b8cb1449",
      "title": "Account Executive, Enterprise",
      "employer_name": "Flow Engineering",
      "employer_slug": "flow-engineering",
      "location_text": "San Francisco, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-16T17:16:56.398Z",
      "apply_url": "https://jobs.ashbyhq.com/flowengineering/672ed984-7ad9-4255-9e4d-d88504201008",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Account Executive, Enterprise San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. About the Role Flow is seeking a strategic Account Executive to lead enterprise go-to-market efforts and win our largest, most complex accounts. You will own the full sales cycle, from prospecting and discovery through close, selling into major engineering-led organizations that build complex hardware and software systems. This role is an opportunity to define how Flow lands and expands within enterprise accounts at an early stage and directly shape our commercial success. What You'll Do - Own the full sales cycle: prospect, qualify, run discovery and demos, navigate procurement and security review, negotiate, and close new business. - Build and manage a portfolio of named enterprise accounts across engineering organizations, hardware companies, and aerospace/defense customers. - Run complex, multi-threaded deals across technical, executive, and procurement stakeholders, often spanning long sales cycles and multi-year contracts. - Develop and execute account plans that land initial deals and expand them over time. - Partner closely with product and engineering to relay customer feedback and influence the roadmap. - Develop a deep understanding of Flow's platform and the technical workflows of our customers, including how AI agents support systems engineering. - Represent Flow at industry events, conferences, and customer meetings. - Collaborate with leadership to refine positioning, pricing, and go-to-market strategy. About 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,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "sales",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2f926c74a04ae6abb1",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "156cb2fae6bfd3841c7acd72b8cb1449",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Account Executive, Enterprise San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. About the Role Flow is seeking a strategic Account Executive to lead enterprise go-to-market efforts and win our largest, most complex accounts. You will own the full sales cycle, from prospecting and discovery through close, selling into major engineering-led organizations that build complex hardware and software systems. This role is an opportunity to define how Flow lands and expands within enterprise accounts at an early stage and directly shape our commercial success. What You'll Do - Own the full sales cycle: prospect, qualify, run discovery and demos, navigate procurement and security review, negotiate, and close new business. - Build and manage a portfolio of named enterprise accounts across engineering organizations, hardware companies, and aerospace/defense customers. - Run complex, multi-threaded deals across technical, executive, and procurement stakeholders, often spanning long sales cycles and multi-year contracts. - Develop and execute account plans that land initial deals and expand them over time. - Partner closely with product and engineering to relay customer feedback and influence the roadmap. - Develop a deep understanding of Flow's platform and the technical workflows of our customers, including how AI agents support systems engineering. - Represent Flow at industry events, conferences, and customer meetings. - Collaborate with leadership to refine positioning, pricing, and go-to-market strategy. About You -",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:156cb2fae6bfd3841c7acd72b8cb1449:description:flow",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.47f765b65232dd5848",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "156cb2fae6bfd3841c7acd72b8cb1449",
          "signal_type": "query_match",
          "display_text": "Description: \"engineering\"",
          "tooltip": "Description matched \"engineering\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Account Executive, Enterprise San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. About the Role Flow is seeking a strategic Account Executive to lead enterprise go-to-market efforts and win our largest, most complex accounts. You will own the full sales cycle, from prospecting and discovery through close, selling into major engineering-led organizations that build complex hardware and software systems. This role is an opportunity to define how Flow lands and expands within enterprise accounts at an early stage and directly shape our commercial success. What You'll Do - Own the full sales cycle: prospect, qualify, run discovery and demos, navigate procurement and security review, negotiate, and close new business. - Build and manage a portfolio of named enterprise accounts across engineering organizations, hardware companies, and aerospace/defense customers. - Run complex, multi-threaded deals across technical, executive, and procurement stakeholders, often spanning long sales cycles and multi-year contracts. - Develop and execute account plans that land initial deals and expand them over time. - Partner closely with product and engineering to relay customer feedback and influence the roadmap. - Develop a deep understanding of Flow's platform and the technical workflows of our customers, including how AI agents support systems engineering. - Represent Flow at industry events, conferences, and customer meetings. - Collaborate with leadership to refine positioning, pricing, and go-to-market strategy. About You -",
          "matched_input": "engineering",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:156cb2fae6bfd3841c7acd72b8cb1449:description:engineering",
          "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.6b5ddf68c9b80adbef",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "156cb2fae6bfd3841c7acd72b8cb1449",
          "signal_type": "query_match",
          "display_text": "Employer: \"engineering\"",
          "tooltip": "Employer matched \"engineering\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "engineering",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:156cb2fae6bfd3841c7acd72b8cb1449:employer:engineering",
          "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.9a5d2f291d1608ed98",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "156cb2fae6bfd3841c7acd72b8cb1449",
          "signal_type": "query_match",
          "display_text": "Employer: \"flow\"",
          "tooltip": "Employer matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:156cb2fae6bfd3841c7acd72b8cb1449:employer:flow",
          "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.784738ea56bc192884",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "156cb2fae6bfd3841c7acd72b8cb1449",
          "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": "Flow Engineering",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:45a782e0b3b17523bb78d4c9",
          "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.6baff8b5b2cddcbce5",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "156cb2fae6bfd3841c7acd72b8cb1449",
          "signal_type": "query_match",
          "display_text": "Employer: \"engineering\"",
          "tooltip": "Employer contains \"engineering\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "engineering",
          "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.7502d8cf2d295f09c9",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "156cb2fae6bfd3841c7acd72b8cb1449",
          "signal_type": "query_match",
          "display_text": "Employer: \"flow\"",
          "tooltip": "Employer contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "f4192e9638198f275bdf3bbfd1d928ef",
      "title": "Account Executive, Mid-Market",
      "employer_name": "Flow Engineering",
      "employer_slug": "flow-engineering",
      "location_text": "San Francisco, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T01:48:45.586Z",
      "apply_url": "https://jobs.ashbyhq.com/flowengineering/5c7bec8f-0579-4bc9-9607-96fa0e488fe1",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Account Executive, Mid-Market San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. About the Role Flow is seeking a driven Account Executive to grow our mid-market customer base. You will own the full sales cycle, from prospecting and discovery through close, selling into engineering-led organizations that build complex hardware and software systems. This is a high-velocity role where you will run a healthy volume of opportunities, build repeatable sales motions, and directly shape how Flow wins in the mid-market at an early stage. What You'll Do - Own the full sales cycle: prospect, qualify, run discovery and demos, negotiate, and close new business. - Build and manage a healthy pipeline of growing engineering teams, hardware companies, and aerospace/defense customers. - Drive velocity across a high volume of opportunities while keeping rigor in every deal. - Partner closely with product and engineering to relay customer feedback and influence the roadmap. - Develop a deep understanding of Flow's platform and the technical workflows of our customers, including how AI agents support systems engineering. - Represent Flow at industry events, conferences, and customer meetings. - Collaborate with leadership to refine positioning, pricing, and go-to-market strategy. About You - 5+ years of sales experience, including 3+ years of closing in B2B SaaS, ideally selling to technical or engineering buyers. - Track record of consistently hitting 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": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "marketing",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8032a930c38b4bacd6",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "f4192e9638198f275bdf3bbfd1d928ef",
          "signal_type": "query_match",
          "display_text": "Description: \"engineering\"",
          "tooltip": "Description matched \"engineering\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Account Executive, Mid-Market San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. About the Role Flow is seeking a driven Account Executive to grow our mid-market customer base. You will own the full sales cycle, from prospecting and discovery through close, selling into engineering-led organizations that build complex hardware and software systems. This is a high-velocity role where you will run a healthy volume of opportunities, build repeatable sales motions, and directly shape how Flow wins in the mid-market at an early stage. What You'll Do - Own the full sales cycle: prospect, qualify, run discovery and demos, negotiate, and close new business. - Build and manage a healthy pipeline of growing engineering teams, hardware companies, and aerospace/defense customers. - Drive velocity across a high volume of opportunities while keeping rigor in every deal. - Partner closely with product and engineering to relay customer feedback and influence the roadmap. - Develop a deep understanding of Flow's platform and the technical workflows of our customers, including how AI agents support systems engineering. - Represent Flow at industry events, conferences, and customer meetings. - Collaborate with leadership to refine positioning, pricing, and go-to-market strategy. About You - 5+ years of sales experience, including 3+ years of closing in B2B SaaS, ideally selling to technical or engineering buyers. - Track record of consistently hitting or",
          "matched_input": "engineering",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:f4192e9638198f275bdf3bbfd1d928ef:description:engineering",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.923229f8a1efe79257",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "f4192e9638198f275bdf3bbfd1d928ef",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Account Executive, Mid-Market San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. About the Role Flow is seeking a driven Account Executive to grow our mid-market customer base. You will own the full sales cycle, from prospecting and discovery through close, selling into engineering-led organizations that build complex hardware and software systems. This is a high-velocity role where you will run a healthy volume of opportunities, build repeatable sales motions, and directly shape how Flow wins in the mid-market at an early stage. What You'll Do - Own the full sales cycle: prospect, qualify, run discovery and demos, negotiate, and close new business. - Build and manage a healthy pipeline of growing engineering teams, hardware companies, and aerospace/defense customers. - Drive velocity across a high volume of opportunities while keeping rigor in every deal. - Partner closely with product and engineering to relay customer feedback and influence the roadmap. - Develop a deep understanding of Flow's platform and the technical workflows of our customers, including how AI agents support systems engineering. - Represent Flow at industry events, conferences, and customer meetings. - Collaborate with leadership to refine positioning, pricing, and go-to-market strategy. About You - 5+ years of sales experience, including 3+ years of closing in B2B SaaS, ideally selling to technical or engineering buyers. - Track record of consistently hitting or",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:f4192e9638198f275bdf3bbfd1d928ef:description:flow",
          "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.0b60d575fda2a9f886",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "f4192e9638198f275bdf3bbfd1d928ef",
          "signal_type": "query_match",
          "display_text": "Employer: \"flow\"",
          "tooltip": "Employer matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:f4192e9638198f275bdf3bbfd1d928ef:employer:flow",
          "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.a7421af4832ee6bfe7",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "f4192e9638198f275bdf3bbfd1d928ef",
          "signal_type": "query_match",
          "display_text": "Employer: \"engineering\"",
          "tooltip": "Employer matched \"engineering\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "engineering",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:f4192e9638198f275bdf3bbfd1d928ef:employer:engineering",
          "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.0927e8dad8a9af7b48",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "f4192e9638198f275bdf3bbfd1d928ef",
          "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": "Flow Engineering",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:6ed5a79edd2fdb5b54ace256",
          "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.182217fe2b58cb2947",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "f4192e9638198f275bdf3bbfd1d928ef",
          "signal_type": "query_match",
          "display_text": "Employer: \"engineering\"",
          "tooltip": "Employer contains \"engineering\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "engineering",
          "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.aab70f2f752577e00e",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "f4192e9638198f275bdf3bbfd1d928ef",
          "signal_type": "query_match",
          "display_text": "Employer: \"flow\"",
          "tooltip": "Employer contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "6528c60973603e19d3708429b3c79bfb",
      "title": "Software Engineer, Infrastructure – San Francisco",
      "employer_name": "Flow Engineering",
      "employer_slug": "flow-engineering",
      "location_text": "San Francisco, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-28T01:43:59.969Z",
      "apply_url": "https://jobs.ashbyhq.com/flowengineering/0fc59da9-d62e-48d6-9f4e-4b334aee2fdd",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Engineer, Infrastructure – San Francisco San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. After a recent Series A, the team is scaling the product from thousands of users to hundreds of thousands while holding a high bar on reliability and speed.​ About the role Flow is hiring a Software Engineer with an infrastructure focus to build and scale the core platform behind Flow. You will own services and infrastructure that let “agentic systems engineers” and product teams rely on Flow in their day-to-day work.​ You will join a small, senior, high-ownership team that values speed, ownership, and strong fundamentals: ship v1s quickly, learn, and iterate.​ What you'll do - Design, build, and operate backend services and platform primitives that support complex engineering workflows and collaboration at scale. - Scale Flow from thousands of users to hundreds of thousands, improving performance, reliability, observability, and security across the stack. - Own and evolve CI/CD pipelines, test infrastructure, and internal tooling so the team can ship quickly and safely. - Collaborate with frontend and AI engineers to define APIs, data models, and integration points that are robust and easy to evolve. - Contribute to architectural decisions and technical direction as the product and customer base grow. About you - 3+ years of software engineering experience building and operating production systems in a cloud",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 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.67ca54c46f61d53485",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "6528c60973603e19d3708429b3c79bfb",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Infrastructure – San Francisco San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. After a recent Series A, the team is scaling the product from thousands of users to hundreds of thousands while holding a high bar on reliability and speed.​ About the role Flow is hiring a Software Engineer with an infrastructure focus to build and scale the core platform behind Flow. You will own services and infrastructure that let “agentic systems engineers” and product teams rely on Flow in their day-to-day work.​ You will join a small, senior, high-ownership team that values speed, ownership, and strong fundamentals: ship v1s quickly, learn, and iterate.​ What you'll do - Design, build, and operate backend services and platform primitives that support complex engineering workflows and collaboration at scale. - Scale Flow from thousands of users to hundreds of thousands, improving performance, reliability, observability, and security across the stack. - Own and evolve CI/CD pipelines, test infrastructure, and internal tooling so the team can ship quickly and safely. - Collaborate with frontend and AI engineers to define APIs, data models, and integration points that are robust and easy to evolve. - Contribute to architectural decisions and technical direction as the product and customer base grow. About you - 3+ years of software engineering experience building and operating production systems in a cloud",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:6528c60973603e19d3708429b3c79bfb:description:flow",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e71d8d2b14c19277c5",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "6528c60973603e19d3708429b3c79bfb",
          "signal_type": "query_match",
          "display_text": "Description: \"engineering\"",
          "tooltip": "Description matched \"engineering\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Infrastructure – San Francisco San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. After a recent Series A, the team is scaling the product from thousands of users to hundreds of thousands while holding a high bar on reliability and speed.​ About the role Flow is hiring a Software Engineer with an infrastructure focus to build and scale the core platform behind Flow. You will own services and infrastructure that let “agentic systems engineers” and product teams rely on Flow in their day-to-day work.​ You will join a small, senior, high-ownership team that values speed, ownership, and strong fundamentals: ship v1s quickly, learn, and iterate.​ What you'll do - Design, build, and operate backend services and platform primitives that support complex engineering workflows and collaboration at scale. - Scale Flow from thousands of users to hundreds of thousands, improving performance, reliability, observability, and security across the stack. - Own and evolve CI/CD pipelines, test infrastructure, and internal tooling so the team can ship quickly and safely. - Collaborate with frontend and AI engineers to define APIs, data models, and integration points that are robust and easy to evolve. - Contribute to architectural decisions and technical direction as the product and customer base grow. About you - 3+ years of software engineering experience building and operating production systems in a cloud",
          "matched_input": "engineering",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:6528c60973603e19d3708429b3c79bfb:description:engineering",
          "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.9e10e3c511d4e59350",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "6528c60973603e19d3708429b3c79bfb",
          "signal_type": "query_match",
          "display_text": "Employer: \"engineering\"",
          "tooltip": "Employer matched \"engineering\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "engineering",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:6528c60973603e19d3708429b3c79bfb:employer:engineering",
          "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.d427157756ef8fe664",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "6528c60973603e19d3708429b3c79bfb",
          "signal_type": "query_match",
          "display_text": "Employer: \"flow\"",
          "tooltip": "Employer matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:6528c60973603e19d3708429b3c79bfb:employer:flow",
          "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.7fe4eb49273dedee82",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "6528c60973603e19d3708429b3c79bfb",
          "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": "Flow Engineering",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:b938bb6449b9c77c0d5d7bb5",
          "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.3976c5d1a05bf168bc",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "6528c60973603e19d3708429b3c79bfb",
          "signal_type": "query_match",
          "display_text": "Employer: \"flow\"",
          "tooltip": "Employer contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "flow",
          "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.f81eddedfced3722aa",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "6528c60973603e19d3708429b3c79bfb",
          "signal_type": "query_match",
          "display_text": "Employer: \"engineering\"",
          "tooltip": "Employer contains \"engineering\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "engineering",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "29130af52334f670016429dc57fd1729",
      "title": "Material Flow Engineer",
      "employer_name": "SpaceX",
      "employer_slug": "spacex",
      "location_text": "Hawthorne, CA",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 100000,
      "salary_max": 135000,
      "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": 100000,
      "base_salary_max": 135000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "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": [
        "cbinsights_unicorn",
        "a16z",
        "sequoia",
        "foundersfund"
      ],
      "posted_at": "2026-03-13T22:27:32.000Z",
      "apply_url": "https://boards.greenhouse.io/spacex/jobs/8461337002?gh_jid=8461337002",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Material Flow Engineer Hawthorne, CA SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. MATERIAL FLOW ENGINEER SpaceX is currently seeking an experienced Material Flow Engineer to analyze, design, and optimize the receiving, storage, movement, and presentation of materials for all flight and non-flight programs to enable overall Starship objectives. Material Flow Engineers are responsible for developing and implementing material flow strategies that align with Starship production goals and drive operational excellence. This role involves using lean material flow principles, data analytics, problem solving, modeling, and project management skills to ensure the safe, efficient, and cost-effective movement of all materials. RESPONSIBILITIES: - Process Design and Optimization: Design and implement innovative strategies for efficient material flow from receipt to the lineside and any reverse logistics required. Understand critical part flow categories to develop specific plans that will allow Starbase to achieve significant scale. Use value stream mapping to ensure end-to-end process optimization. - Factory and Warehouse Layout Planning: Develop and implement conceptual and detailed layouts for material flow and storage to achieve targeted inventory levels. Ensure that storage strategies are aligned across the supply chain and achieve maximum desired part density considering all available facility volume. Build and use space capacity models to ensure we have adequate storage solutions. - Develop Materials Management",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": 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.12da7b76f05ed85e57",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "29130af52334f670016429dc57fd1729",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Material Flow Engineer Hawthorne, CA SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. MATERIAL FLOW ENGINEER SpaceX is currently seeking an experienced Material Flow Engineer to analyze, design, and optimize the receiving, storage, movement, and presentation of materials for all flight and non-flight programs to enable overall Starship objectives. Material Flow Engineers are responsible for developing and implementing material flow strategies that align with Starship production goals and drive operational excellence. This role involves using lean material flow principles, data analytics, problem solving, modeling, and project management skills to ensure the safe, efficient, and cost-effective movement of all materials. RESPONSIBILITIES: - Process Design and Optimization: Design and implement innovative strategies for efficient material flow from receipt to the lineside and any reverse logistics required. Understand critical part flow categories to develop specific plans that will allow Starbase to achieve significant scale. Use value stream mapping to ensure end-to-end process optimization. - Factory and Warehouse Layout Planning: Develop and implement conceptual and detailed layouts for material flow and storage to achieve targeted inventory levels. Ensure that storage strategies are aligned across the supply chain and achieve maximum desired part density considering all available facility volume. Build and use space capacity models to ensure we have adequate storage solutions. - Develop Materials Management",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:29130af52334f670016429dc57fd1729:description:flow",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.role_function.51069e64414b530534",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "29130af52334f670016429dc57fd1729",
          "signal_type": "query_match",
          "display_text": "Role: \"engineering\"",
          "tooltip": "Role matched \"engineering\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "engineering",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:29130af52334f670016429dc57fd1729:role-function:engineering",
          "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.6c977896a38a1ea2f8",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "29130af52334f670016429dc57fd1729",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Material Flow Engineer",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:29130af52334f670016429dc57fd1729:title:flow",
          "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.9ec7a8910bd88ef841",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "29130af52334f670016429dc57fd1729",
          "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": "Material Flow Engineer",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:8ca16ea5a0d6b347c3a990ed",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.role_function.119b6fa0396dac4a6f",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "29130af52334f670016429dc57fd1729",
          "signal_type": "query_match",
          "display_text": "Role: \"engineering\"",
          "tooltip": "Role contains \"engineering\" from your search.",
          "source_binding": "token_match",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "engineering",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.cbe85d4fbb3e17b0e7",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "29130af52334f670016429dc57fd1729",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Material Flow Engineer",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "8f2f83b2d254b929773843b60e596ed0",
      "title": "Internal Material Flow Leader (M/F/D)",
      "employer_name": "BorgWarner",
      "employer_slug": "borgwarner",
      "location_text": "Viana do Castelo I - Portugal",
      "country": "PT",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-22T00:00:00.000Z",
      "apply_url": "https://borgwarner.wd5.myworkdayjobs.com/BorgWarner_Careers/job/Viana-do-Castelo-I---Portugal/Internal-Material-Flow-Leader--M-F-D-_R2026-0862",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Internal Material Flow Leader (M/F/D) Viana do Castelo I - Portugal posted: Posted 21 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d72ae9e4d4ab26599c",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "8f2f83b2d254b929773843b60e596ed0",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Internal Material Flow Leader (M/F/D) Viana do Castelo I - Portugal posted: Posted 21 Days Ago",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:8f2f83b2d254b929773843b60e596ed0:description:flow",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.role_function.b19f96c247920100e7",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "8f2f83b2d254b929773843b60e596ed0",
          "signal_type": "query_match",
          "display_text": "Role: \"engineering\"",
          "tooltip": "Role matched \"engineering\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "engineering",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:8f2f83b2d254b929773843b60e596ed0:role-function:engineering",
          "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.4c06adbe646c8aa5d9",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "8f2f83b2d254b929773843b60e596ed0",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Internal Material Flow Leader (M/F/D)",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:8f2f83b2d254b929773843b60e596ed0:title:flow",
          "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.48e9735641f721a922",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "8f2f83b2d254b929773843b60e596ed0",
          "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": "Internal Material Flow Leader (M/F/D)",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:d5ac33f92c5063742adf922e",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.role_function.4a2ce0b2d9599ec2d8",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "8f2f83b2d254b929773843b60e596ed0",
          "signal_type": "query_match",
          "display_text": "Role: \"engineering\"",
          "tooltip": "Role contains \"engineering\" from your search.",
          "source_binding": "token_match",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "engineering",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.5a4ba3b2dd8ace0866",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "8f2f83b2d254b929773843b60e596ed0",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Internal Material Flow Leader (M/F/D)",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "58e65dd7a40189f49d8c33765fcd1a4e",
      "title": "Principal Flow Assurance Engineer - Contract (Outside IR35)",
      "employer_name": "Inconvo",
      "employer_slug": "inconvo",
      "location_text": "London, London, United Kingdom",
      "country": "GB",
      "employment_type": "contract",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": 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": "2026-05-29T00:00:00.000Z",
      "apply_url": "https://hcxg.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/requisitions/job/15400",
      "apply_url_verified": false,
      "ats": "oracle_recruiting_cloud",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal Flow Assurance Engineer - Contract (Outside IR35) London, London, United Kingdom Seeking a seasoned Flow Assurance Engineer to lead and support early stage studies for O&G and Energy Transition projects.",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.de8df60d872a84841f",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "58e65dd7a40189f49d8c33765fcd1a4e",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Principal Flow Assurance Engineer - Contract (Outside IR35) London, London, United Kingdom Seeking a seasoned Flow Assurance Engineer to lead and support early stage studies for O&G and Energy Transition projects.",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:58e65dd7a40189f49d8c33765fcd1a4e:description:flow",
          "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.8290d486decbac83ae",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "58e65dd7a40189f49d8c33765fcd1a4e",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Principal Flow Assurance Engineer - Contract (Outside IR35)",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:58e65dd7a40189f49d8c33765fcd1a4e:title:flow",
          "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.310408955598bc8d22",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "58e65dd7a40189f49d8c33765fcd1a4e",
          "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": "Principal Flow Assurance Engineer - Contract (Outside IR35)",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:bae5911dd33403777c716ec0",
          "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.b7120a30c96292ed36",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "58e65dd7a40189f49d8c33765fcd1a4e",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Principal Flow Assurance Engineer - Contract (Outside IR35)",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "45ee19ae5f6468f2af30362b70940da8",
      "title": "Material Flow Engineer",
      "employer_name": "Magna International Inc.",
      "employer_slug": "magna",
      "location_text": "Mississauga, Ontario, CA",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-02T00:00:00.000Z",
      "apply_url": "https://magna.wd3.myworkdayjobs.com/Magna/job/Mississauga-Ontario-CA/Material-Flow-Engineer_R00245325-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Material Flow Engineer Mississauga, Ontario, CA posted: Posted 10 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ec10ad4d923a48d498",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "45ee19ae5f6468f2af30362b70940da8",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Material Flow Engineer Mississauga, Ontario, CA posted: Posted 10 Days Ago",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:45ee19ae5f6468f2af30362b70940da8:description:flow",
          "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.225a9a261298446116",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "45ee19ae5f6468f2af30362b70940da8",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Material Flow Engineer",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:45ee19ae5f6468f2af30362b70940da8:title:flow",
          "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.178ed1351119f2c067",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "45ee19ae5f6468f2af30362b70940da8",
          "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": "Material Flow Engineer",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:8790ebef92eba21a6ecfcbc2",
          "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.ef5429fbbe72b3930e",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "45ee19ae5f6468f2af30362b70940da8",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Material Flow Engineer",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "82379253856239e44918e6ee34a6830d",
      "title": "Material Flow Optimization Operations Engineer, NASC Material Flow Optimization",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "Mt Juliet, Tennessee, 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": 68900,
      "salary_max": 103400,
      "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": 68900,
      "base_salary_max": 103400,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/10444920/material-flow-optimization-operations-engineer-nasc-material-flow-optimization",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Material Flow Optimization Operations Engineer, NASC Material Flow Optimization Mt Juliet, Tennessee, USA Do you want to be part of an organization that is on the leading edge of operations involving sortation, distribution, and logistics as Amazon delivers world class service to our customers? The Amazon North America Sort Center (NASC) Material Flow Optimization (MFO) Team is looking for a proven technical leader with extensive experience leading projects and programs in applying planning and engineering principles to operations. This would also include developing and implementing process improvement initiatives within the logistics and distribution industry. As an MFO Operations Engineer, you will work with multiple teams and a broad set of stakeholders including labor planning, operations, network planning, and service performance in designing and improving our expanding network of North American Sort Centers, while challenging the status quo of existing operations. This position requires a firm understanding of engineering principles, planning, forecasting, cost estimating, and process flows along with proven management skills in leading and developing others. Key job responsibilities In this role, you will have the opportunity to display your skills in the following areas: - Floor layout design and implementation - Optimized flow modeling - Facilitate the set-up and integration within buildings of new products, services, and operations - Plan and develop a dynamic network of facilities that is growing at a rate of 60% per year - Apply engineering principles, develop processes, and improve operations - Study operations to optimize and design new tools involving simulation and planning",
      "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": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Industrial",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": 50,
      "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.6ecbd9959befb7a84b",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "82379253856239e44918e6ee34a6830d",
          "signal_type": "query_match",
          "display_text": "Description: \"engineering\"",
          "tooltip": "Description matched \"engineering\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Material Flow Optimization Operations Engineer, NASC Material Flow Optimization Mt Juliet, Tennessee, USA Do you want to be part of an organization that is on the leading edge of operations involving sortation, distribution, and logistics as Amazon delivers world class service to our customers? The Amazon North America Sort Center (NASC) Material Flow Optimization (MFO) Team is looking for a proven technical leader with extensive experience leading projects and programs in applying planning and engineering principles to operations. This would also include developing and implementing process improvement initiatives within the logistics and distribution industry. As an MFO Operations Engineer, you will work with multiple teams and a broad set of stakeholders including labor planning, operations, network planning, and service performance in designing and improving our expanding network of North American Sort Centers, while challenging the status quo of existing operations. This position requires a firm understanding of engineering principles, planning, forecasting, cost estimating, and process flows along with proven management skills in leading and developing others. Key job responsibilities In this role, you will have the opportunity to display your skills in the following areas: - Floor layout design and implementation - Optimized flow modeling - Facilitate the set-up and integration within buildings of new products, services, and operations - Plan and develop a dynamic network of facilities that is growing at a rate of 60% per year - Apply engineering principles, develop processes, and improve operations - Study operations to optimize and design new tools involving simulation and planning",
          "matched_input": "engineering",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:82379253856239e44918e6ee34a6830d:description:engineering",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d695e962950c860d19",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "82379253856239e44918e6ee34a6830d",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Material Flow Optimization Operations Engineer, NASC Material Flow Optimization Mt Juliet, Tennessee, USA Do you want to be part of an organization that is on the leading edge of operations involving sortation, distribution, and logistics as Amazon delivers world class service to our customers? The Amazon North America Sort Center (NASC) Material Flow Optimization (MFO) Team is looking for a proven technical leader with extensive experience leading projects and programs in applying planning and engineering principles to operations. This would also include developing and implementing process improvement initiatives within the logistics and distribution industry. As an MFO Operations Engineer, you will work with multiple teams and a broad set of stakeholders including labor planning, operations, network planning, and service performance in designing and improving our expanding network of North American Sort Centers, while challenging the status quo of existing operations. This position requires a firm understanding of engineering principles, planning, forecasting, cost estimating, and process flows along with proven management skills in leading and developing others. Key job responsibilities In this role, you will have the opportunity to display your skills in the following areas: - Floor layout design and implementation - Optimized flow modeling - Facilitate the set-up and integration within buildings of new products, services, and operations - Plan and develop a dynamic network of facilities that is growing at a rate of 60% per year - Apply engineering principles, develop processes, and improve operations - Study operations to optimize and design new tools involving simulation and planning",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:82379253856239e44918e6ee34a6830d:description:flow",
          "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.df37318de40a4d1a61",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "82379253856239e44918e6ee34a6830d",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Material Flow Optimization Operations Engineer, NASC Material Flow Optimization",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:82379253856239e44918e6ee34a6830d:title:flow",
          "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.54ecd1cc8285af687b",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "82379253856239e44918e6ee34a6830d",
          "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": "Material Flow Optimization Operations Engineer, NASC Material Flow Optimization",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:b486034ef36af941ad03f910",
          "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.08cf20422a924c9d52",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "82379253856239e44918e6ee34a6830d",
          "signal_type": "query_match",
          "display_text": "Description: \"engineering\"",
          "tooltip": "Description contains \"engineering\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Material Flow Optimization Operations Engineer, NASC Material Flow Optimization Mt Juliet, Tennessee, USA Do you want to be part of an organization that is on the leading edge of operations involving sortation, distribution, and logistics as Amazon delivers world class service to our customers? The Amazon North America Sort Center (NASC) Material Flow Optimization (MFO) Team is looking for a proven technical leader with extensive experience leading projects and programs in applying planning and engineering principles to operations. This would also include developing and implementing process improvement initiatives within the logistics and distribution industry. As an MFO Operations Engineer, you will work with multiple teams and a broad set of stakeholders including labor planning, operations, network planning, and service performance in designing and improving our expanding network of North American Sort Centers, while challenging the status quo of existing operations. This position requires a firm understanding of engineering principles, planning, forecasting, cost estimating, and process flows along with proven management skills in leading and developing others. Key job responsibilities In this role, you will have the opportunity to display your skills in the following areas: - Floor layout design and implementation - Optimized flow modeling - Facilitate the set-up and integration within buildings of new products, services, and operations - Plan and develop a dynamic network of facilities that is growing at a rate of 60% per year - Apply engineering principles, develop processes, and improve operations - Study operations to optimize and design new tools involving simulation and planning",
          "matched_input": "engineering",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.bddb24125262b3f6c2",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "82379253856239e44918e6ee34a6830d",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Material Flow Optimization Operations Engineer, NASC Material Flow Optimization",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "0e232c24041a63904eaa46d7b5269f9b",
      "title": "Engineer - Flow & Thermal",
      "employer_name": "Eaton Corporation",
      "employer_slug": "eaton-corporation",
      "location_text": "Hadapsar, Pune, Maharashtra, IND, 411013",
      "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": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://eaton.eightfold.ai/careers/job/687237048671",
      "apply_url_verified": false,
      "ats": "eightfold",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Engineer - Flow & Thermal Hadapsar, Pune, Maharashtra, IND, 411013",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ca4b882234128d74e8",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "0e232c24041a63904eaa46d7b5269f9b",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Engineer - Flow & Thermal Hadapsar, Pune, Maharashtra, IND, 411013",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:0e232c24041a63904eaa46d7b5269f9b:description:flow",
          "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.0b011fbd06c76b3379",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "0e232c24041a63904eaa46d7b5269f9b",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Engineer - Flow & Thermal",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:0e232c24041a63904eaa46d7b5269f9b:title:flow",
          "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.d5c181fa867f507320",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "0e232c24041a63904eaa46d7b5269f9b",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Engineer - Flow & Thermal",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:af08a554ea9a5ec0ae64b2d6",
          "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.a4f0fa9404fcb6fda7",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "0e232c24041a63904eaa46d7b5269f9b",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Engineer - Flow & Thermal",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.80f2599e7a8023b0db",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "0e232c24041a63904eaa46d7b5269f9b",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "7878fc492e065f08099188efaf12a981",
      "title": "Material Flow Engineer",
      "employer_name": "Whirlpool Corporation",
      "employer_slug": "whirlpool-corporation",
      "location_text": "Cleveland,Tennessee,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": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://whirlpool.eightfold.ai/careers/job/34400188561",
      "apply_url_verified": false,
      "ats": "eightfold",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Material Flow Engineer Cleveland,Tennessee,USA",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.569391b2ba640bfd16",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "7878fc492e065f08099188efaf12a981",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Material Flow Engineer Cleveland,Tennessee,USA",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:7878fc492e065f08099188efaf12a981:description:flow",
          "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.501f9fb901b033eb71",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "7878fc492e065f08099188efaf12a981",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Material Flow Engineer",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:7878fc492e065f08099188efaf12a981:title:flow",
          "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.53f1b6a253bec36330",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "7878fc492e065f08099188efaf12a981",
          "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": "Material Flow Engineer",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:6d583db278aa37c16fb6d78d",
          "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.ec8239312c0250a8aa",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "7878fc492e065f08099188efaf12a981",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Material Flow Engineer",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "3d7578bbe41b3da16c545e6b389f8d3e",
      "title": "Engineer - System modeling( Flow and Thermal )",
      "employer_name": "Eaton Corporation",
      "employer_slug": "eaton-corporation",
      "location_text": "Hadapsar, Pune, Maharashtra, IND, 411013",
      "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": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://eaton.eightfold.ai/careers/job/687236281267",
      "apply_url_verified": false,
      "ats": "eightfold",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Engineer - System modeling( Flow and Thermal ) Hadapsar, Pune, Maharashtra, IND, 411013",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d0adff2086d36b7d40",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "3d7578bbe41b3da16c545e6b389f8d3e",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Engineer - System modeling( Flow and Thermal ) Hadapsar, Pune, Maharashtra, IND, 411013",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:3d7578bbe41b3da16c545e6b389f8d3e:description:flow",
          "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.a874eeb4470dcd5f0a",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "3d7578bbe41b3da16c545e6b389f8d3e",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Engineer - System modeling( Flow and Thermal )",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:3d7578bbe41b3da16c545e6b389f8d3e:title:flow",
          "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.b4b5f18854239a90ef",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "3d7578bbe41b3da16c545e6b389f8d3e",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Engineer - System modeling( Flow and Thermal )",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:358121f37ba29c39223825cc",
          "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.961f133e77c5718e1b",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "3d7578bbe41b3da16c545e6b389f8d3e",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Engineer - System modeling( Flow and Thermal )",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.33e00bb01449bb5058",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "3d7578bbe41b3da16c545e6b389f8d3e",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "d46cbfd2ba0e6242e9255cbf14e4cf33",
      "title": "Material Flow Engineer - Data Center Operations",
      "employer_name": "xAI",
      "employer_slug": "xai",
      "location_text": "Memphis, TN",
      "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": "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": [
        "a16z",
        "sequoia"
      ],
      "posted_at": "2026-04-29T01:14:17.000Z",
      "apply_url": "https://job-boards.greenhouse.io/xai/jobs/5123360007",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Material Flow Engineer - Data Center Operations Memphis, TN ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: xAI is currently seeking an experienced Material Flow Engineer to analyze, design, and optimize the receiving, storage, movement, and presentation of materials for all data center build operations. Logistics Engineers are responsible for developing and implementing material flow strategies that align with xAI datacenter build goals and drive operational excellence. This role involves using lean material flow principles, data analytics, problem solving, modeling, and project management skills to ensure the safe, efficient, and cost-effective movement of all materials. RESPONSIBILITIES: - Process Design and Optimization: Design and implement innovative strategies for efficient material flow from receipt through installation and any reverse logistics required. Understand critical part flow categories to develop specific plans that will allow xAI to achieve significant scale. Use value stream mapping to ensure end-to-end process",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.323e77a14008525070",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d46cbfd2ba0e6242e9255cbf14e4cf33",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Material Flow Engineer - Data Center Operations Memphis, TN ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: xAI is currently seeking an experienced Material Flow Engineer to analyze, design, and optimize the receiving, storage, movement, and presentation of materials for all data center build operations. Logistics Engineers are responsible for developing and implementing material flow strategies that align with xAI datacenter build goals and drive operational excellence. This role involves using lean material flow principles, data analytics, problem solving, modeling, and project management skills to ensure the safe, efficient, and cost-effective movement of all materials. RESPONSIBILITIES: - Process Design and Optimization: Design and implement innovative strategies for efficient material flow from receipt through installation and any reverse logistics required. Understand critical part flow categories to develop specific plans that will allow xAI to achieve significant scale. Use value stream mapping to ensure end-to-end process",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:d46cbfd2ba0e6242e9255cbf14e4cf33:description:flow",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e08da5256142971ecb",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d46cbfd2ba0e6242e9255cbf14e4cf33",
          "signal_type": "query_match",
          "display_text": "Description: \"engineering\"",
          "tooltip": "Description matched \"engineering\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Material Flow Engineer - Data Center Operations Memphis, TN ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: xAI is currently seeking an experienced Material Flow Engineer to analyze, design, and optimize the receiving, storage, movement, and presentation of materials for all data center build operations. Logistics Engineers are responsible for developing and implementing material flow strategies that align with xAI datacenter build goals and drive operational excellence. This role involves using lean material flow principles, data analytics, problem solving, modeling, and project management skills to ensure the safe, efficient, and cost-effective movement of all materials. RESPONSIBILITIES: - Process Design and Optimization: Design and implement innovative strategies for efficient material flow from receipt through installation and any reverse logistics required. Understand critical part flow categories to develop specific plans that will allow xAI to achieve significant scale. Use value stream mapping to ensure end-to-end process",
          "matched_input": "engineering",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:d46cbfd2ba0e6242e9255cbf14e4cf33:description:engineering",
          "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.f0c627b4c4baf682d1",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d46cbfd2ba0e6242e9255cbf14e4cf33",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Material Flow Engineer - Data Center Operations",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:d46cbfd2ba0e6242e9255cbf14e4cf33:title:flow",
          "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.4a49c75bb75f270ef9",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d46cbfd2ba0e6242e9255cbf14e4cf33",
          "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": "Material Flow Engineer - Data Center Operations",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:4f13d6b95adfd22ebf22ed5b",
          "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.34e9f5a1c77a72fe1d",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d46cbfd2ba0e6242e9255cbf14e4cf33",
          "signal_type": "query_match",
          "display_text": "Description: \"engineering\"",
          "tooltip": "Description contains \"engineering\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Material Flow Engineer - Data Center Operations Memphis, TN ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: xAI is currently seeking an experienced Material Flow Engineer to analyze, design, and optimize the receiving, storage, movement, and presentation of materials for all data center build operations. Logistics Engineers are responsible for developing and implementing material flow strategies that align with xAI datacenter build goals and drive operational excellence. This role involves using lean material flow principles, data analytics, problem solving, modeling, and project management skills to ensure the safe, efficient, and cost-effective movement of all materials. RESPONSIBILITIES: - Process Design and Optimization: Design and implement innovative strategies for efficient material flow from receipt through installation and any reverse logistics required. Understand critical part flow categories to develop specific plans that will allow xAI to achieve significant scale. Use value stream mapping to ensure end-to-end process",
          "matched_input": "engineering",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.93d914b46caf37b6ba",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d46cbfd2ba0e6242e9255cbf14e4cf33",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Material Flow Engineer - Data Center Operations",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "048052c3e16370630b6afc104994ffba",
      "title": "Software Engineer, Sign-Up Flow Optimization",
      "employer_name": "Paramount Skydance Corporation",
      "employer_slug": "paramount-skydance-corporation",
      "location_text": "Burbank, CA",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://careers.paramount.com/job/Burbank-Software-Engineer%2C-Sign-Up-Flow-Optimization-CA-91505/1388776800/",
      "apply_url_verified": false,
      "ats": "successfactors",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Engineer, Sign-Up Flow Optimization Burbank, CA #WeAreParamount on a mission to unleash the power of content… you in? We've got the brands, we've got the stars, we've got the power to achieve our mission to entertain the planet - now all we're missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. Overview We are seeking a Software Engineer (IC2) to join the Sign-Up Flow pod. Your mission is to implement and scale the ML systems that optimize how we personalize and optimize our P+ sign-up flow and Pluto TV registration flows. You will own the development of specific features and components within our sign-up/registration flow pipelines. In this role, you will be expected to deliver autonomously on defined technical problems, ranging from bandit-based reward signals to visual optimization of the sign-up/registration flows. You will work in a high-velocity environment where visual and attention optimization are the primary goals, requiring you to balance technical quality with delivery speed. Why This Role Matters In the Sign-Up Flow pod, you are the engine of execution. In this role, you will: Own the Visual Gateway: Deliver the features that establish how users sign-up for and convert to paying users on our apps. Drive Systematic Quality: Improve",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 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.afa1195b073a0cea60",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "048052c3e16370630b6afc104994ffba",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Sign-Up Flow Optimization Burbank, CA #WeAreParamount on a mission to unleash the power of content… you in? We've got the brands, we've got the stars, we've got the power to achieve our mission to entertain the planet - now all we're missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. Overview We are seeking a Software Engineer (IC2) to join the Sign-Up Flow pod. Your mission is to implement and scale the ML systems that optimize how we personalize and optimize our P+ sign-up flow and Pluto TV registration flows. You will own the development of specific features and components within our sign-up/registration flow pipelines. In this role, you will be expected to deliver autonomously on defined technical problems, ranging from bandit-based reward signals to visual optimization of the sign-up/registration flows. You will work in a high-velocity environment where visual and attention optimization are the primary goals, requiring you to balance technical quality with delivery speed. Why This Role Matters In the Sign-Up Flow pod, you are the engine of execution. In this role, you will: Own the Visual Gateway: Deliver the features that establish how users sign-up for and convert to paying users on our apps. Drive Systematic Quality: Improve",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:048052c3e16370630b6afc104994ffba:description:flow",
          "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.6f75a865ab7f7d42c9",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "048052c3e16370630b6afc104994ffba",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Software Engineer, Sign-Up Flow Optimization",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:048052c3e16370630b6afc104994ffba:title:flow",
          "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.dd002a4176bf467516",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "048052c3e16370630b6afc104994ffba",
          "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": "Software Engineer, Sign-Up Flow Optimization",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:507c296d226c8be761174363",
          "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.157d1cf3ead26af30e",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "048052c3e16370630b6afc104994ffba",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Software Engineer, Sign-Up Flow Optimization",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "0d8a70514d2d3afc537e1860073adc16",
      "title": "Senior Flow Assurance Engineer",
      "employer_name": "Inconvo",
      "employer_slug": "inconvo",
      "location_text": "Kuala Lumpur, Malaysia",
      "country": "MY",
      "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": [
        "yc"
      ],
      "posted_at": "2026-05-25T00:00:00.000Z",
      "apply_url": "https://hcxg.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/requisitions/job/13021",
      "apply_url_verified": false,
      "ats": "oracle_recruiting_cloud",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Flow Assurance Engineer Kuala Lumpur, Malaysia Candidate should have minimum of 10 years' experience in process and flow assurance. Experience in performing and developing Flow Assurance scope of work, including model development and results analysis.",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ca295173f263f8e84b",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "0d8a70514d2d3afc537e1860073adc16",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Flow Assurance Engineer Kuala Lumpur, Malaysia Candidate should have minimum of 10 years' experience in process and flow assurance. Experience in performing and developing Flow Assurance scope of work, including model development and results analysis.",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:0d8a70514d2d3afc537e1860073adc16:description:flow",
          "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.e10fc248e942750400",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "0d8a70514d2d3afc537e1860073adc16",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Flow Assurance Engineer",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:0d8a70514d2d3afc537e1860073adc16:title:flow",
          "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.cb8f715555cefc353a",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "0d8a70514d2d3afc537e1860073adc16",
          "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 Flow Assurance Engineer",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:d0e182f7d87c75e39d14a5ff",
          "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.8c8bd269751e83d648",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "0d8a70514d2d3afc537e1860073adc16",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Flow Assurance Engineer",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "62d29a2d578f053224fa79f5b043ced2",
      "title": "Material Flow Engineer",
      "employer_name": "Generac",
      "employer_slug": "generac",
      "location_text": "Trenton, SC - 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": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-27T00:00:00.000Z",
      "apply_url": "https://generac.wd5.myworkdayjobs.com/External/job/Trenton-SC---USA/Material-Flow-Engineer_JR14363",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Material Flow Engineer Trenton, SC - USA posted: Posted 16 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Industrial",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.cdf954314f2b82863d",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "62d29a2d578f053224fa79f5b043ced2",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Material Flow Engineer Trenton, SC - USA posted: Posted 16 Days Ago",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:62d29a2d578f053224fa79f5b043ced2:description:flow",
          "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.5328b580bdfa168a27",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "62d29a2d578f053224fa79f5b043ced2",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Material Flow Engineer",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:62d29a2d578f053224fa79f5b043ced2:title:flow",
          "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.6d0ff93f36eb2318d2",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "62d29a2d578f053224fa79f5b043ced2",
          "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": "Material Flow Engineer",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:576e4b53a81e8bbd96bac9f4",
          "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.20c4ec2e572f525599",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "62d29a2d578f053224fa79f5b043ced2",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Material Flow Engineer",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "06ea25975f160e8e5273593e5fbde67f",
      "title": "Director of Engineering - US Growth (Large Factor Assembly, Industrial Engineer, and Material Flow)",
      "employer_name": "Jabil",
      "employer_slug": "jabil",
      "location_text": "6 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T00:00:00.000Z",
      "apply_url": "https://jabil.wd5.myworkdayjobs.com/Jabil_Careers/job/Salisbury-NC/Director-of-Engineering---US-Growth--Large-Factor-Assembly--Industrial-Engineer--and-Material-Flow-_J2453183",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Director of Engineering - US Growth (Large Factor Assembly, Industrial Engineer, and Material Flow) 6 Locations posted: Posted Today",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "employer_industry": "Technology",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.0875f179e75d93c3ed",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "06ea25975f160e8e5273593e5fbde67f",
          "signal_type": "query_match",
          "display_text": "Description: \"engineering\"",
          "tooltip": "Description matched \"engineering\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Director of Engineering - US Growth (Large Factor Assembly, Industrial Engineer, and Material Flow) 6 Locations posted: Posted Today",
          "matched_input": "engineering",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:06ea25975f160e8e5273593e5fbde67f:description:engineering",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.932875cabe0c665636",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "06ea25975f160e8e5273593e5fbde67f",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Director of Engineering - US Growth (Large Factor Assembly, Industrial Engineer, and Material Flow) 6 Locations posted: Posted Today",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:06ea25975f160e8e5273593e5fbde67f:description:flow",
          "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.5825cc679f47b06fbf",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "06ea25975f160e8e5273593e5fbde67f",
          "signal_type": "query_match",
          "display_text": "Title: \"engineering\"",
          "tooltip": "Title matched \"engineering\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Director of Engineering - US Growth (Large Factor Assembly, Industrial Engineer, and Material Flow)",
          "matched_input": "engineering",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:06ea25975f160e8e5273593e5fbde67f:title:engineering",
          "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.9553925b767e44681b",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "06ea25975f160e8e5273593e5fbde67f",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Director of Engineering - US Growth (Large Factor Assembly, Industrial Engineer, and Material Flow)",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:06ea25975f160e8e5273593e5fbde67f:title:flow",
          "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.d2093493c655cf6459",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "06ea25975f160e8e5273593e5fbde67f",
          "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": "Director of Engineering - US Growth (Large Factor Assembly, Industrial Engineer, and Material Flow)",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:26323f38d4e8eb77b35a00db",
          "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.2953cc4ab39c1cb984",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "06ea25975f160e8e5273593e5fbde67f",
          "signal_type": "query_match",
          "display_text": "Title: \"engineering\"",
          "tooltip": "Title contains \"engineering\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Director of Engineering - US Growth (Large Factor Assembly, Industrial Engineer, and Material Flow)",
          "matched_input": "engineering",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.411cf3d6206de80888",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "06ea25975f160e8e5273593e5fbde67f",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Director of Engineering - US Growth (Large Factor Assembly, Industrial Engineer, and Material Flow)",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.a1ffc79e29cc593c01",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "06ea25975f160e8e5273593e5fbde67f",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "0cb437045ed0c734d65d907f10ad95ab",
      "title": "Software Development Manager, Flow Platform",
      "employer_name": "Autodesk",
      "employer_slug": "autodesk",
      "location_text": "13 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-04T00:00:00.000Z",
      "apply_url": "https://autodesk.wd1.myworkdayjobs.com/Ext/job/Montreal-QC-CAN/Software-Development-Manager--Flow-Platform_26WD97958",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Development Manager, Flow Platform 13 Locations posted: Posted 8 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1f01ef2bf09be87787",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "0cb437045ed0c734d65d907f10ad95ab",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Development Manager, Flow Platform 13 Locations posted: Posted 8 Days Ago",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:0cb437045ed0c734d65d907f10ad95ab:description:flow",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.role_function.67de4d7c1e8b9988df",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "0cb437045ed0c734d65d907f10ad95ab",
          "signal_type": "query_match",
          "display_text": "Role: \"engineering\"",
          "tooltip": "Role matched \"engineering\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "engineering",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:0cb437045ed0c734d65d907f10ad95ab:role-function:engineering",
          "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.f53aab88772df25fb2",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "0cb437045ed0c734d65d907f10ad95ab",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Software Development Manager, Flow Platform",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:0cb437045ed0c734d65d907f10ad95ab:title:flow",
          "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.3c2222e12daad59b4e",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "0cb437045ed0c734d65d907f10ad95ab",
          "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": "Software Development Manager, Flow Platform",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:2b94c105ec0189044a77a93f",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.role_function.4df5ce0763fb1e2282",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "0cb437045ed0c734d65d907f10ad95ab",
          "signal_type": "query_match",
          "display_text": "Role: \"engineering\"",
          "tooltip": "Role contains \"engineering\" from your search.",
          "source_binding": "token_match",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "engineering",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.a45361e65487b72590",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "0cb437045ed0c734d65d907f10ad95ab",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Software Development Manager, Flow Platform",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "d0060074e66a3ae0a6766f4a4c0779a3",
      "title": "Senior Software Engineer, Frontend (UI) – San Francisco",
      "employer_name": "Flow Engineering",
      "employer_slug": "flow-engineering",
      "location_text": "San Francisco, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-01-05T22:07:21.427Z",
      "apply_url": "https://jobs.ashbyhq.com/flowengineering/cea876ca-ce18-476b-8e43-6e70148e16c6",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software Engineer, Frontend (UI) – San Francisco San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform that makes complex engineering work clear, collaborative, and verifiable. We're reimagining how complex hardware is built by pairing world-class engineers with AI agents to design, iterate, and ship faster than ever before. About the role Flow is hiring a senior frontend software engineer to own core user experiences in Flow and bring AI-powered workflows into a clean, intuitive UI. You will work closely with design, product, infra, and AI engineers to make complex systems engineering concepts feel simple and fast.​ You will help define how “agentic systems engineers” and domain experts interact with Flow, from requirements views to reviews, simulations, and AI assistance.​ What you'll do - Own major user-facing surfaces in Flow v3, including interactive requirements views, collaboration and review flows, and AI-assisted workflows. - Implement high-quality, accessible UI using a modern frontend framework and component system. - Integrate AI features into the product in ways that feel natural, interpretable, and helpful to engineers. - Partner with design and product to iterate quickly on interaction patterns, prototypes, and new workflows. - Help shape frontend architecture, design systems, and performance optimizations as the app and user base scale. About you - 5+ years of experience building rich, data-heavy web applications with a modern frontend framework. - Strong experience with React (or similar) and TypeScript, including component design, state management, and testing. - A product mindset: you think 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": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 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.0ed72c0eead3c99815",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d0060074e66a3ae0a6766f4a4c0779a3",
          "signal_type": "query_match",
          "display_text": "Description: \"engineering\"",
          "tooltip": "Description matched \"engineering\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Software Engineer, Frontend (UI) – San Francisco San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform that makes complex engineering work clear, collaborative, and verifiable. We're reimagining how complex hardware is built by pairing world-class engineers with AI agents to design, iterate, and ship faster than ever before. About the role Flow is hiring a senior frontend software engineer to own core user experiences in Flow and bring AI-powered workflows into a clean, intuitive UI. You will work closely with design, product, infra, and AI engineers to make complex systems engineering concepts feel simple and fast.​ You will help define how “agentic systems engineers” and domain experts interact with Flow, from requirements views to reviews, simulations, and AI assistance.​ What you'll do - Own major user-facing surfaces in Flow v3, including interactive requirements views, collaboration and review flows, and AI-assisted workflows. - Implement high-quality, accessible UI using a modern frontend framework and component system. - Integrate AI features into the product in ways that feel natural, interpretable, and helpful to engineers. - Partner with design and product to iterate quickly on interaction patterns, prototypes, and new workflows. - Help shape frontend architecture, design systems, and performance optimizations as the app and user base scale. About you - 5+ years of experience building rich, data-heavy web applications with a modern frontend framework. - Strong experience with React (or similar) and TypeScript, including component design, state management, and testing. - A product mindset: you think in",
          "matched_input": "engineering",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:d0060074e66a3ae0a6766f4a4c0779a3:description:engineering",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.932c35ec2fd6d4caac",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d0060074e66a3ae0a6766f4a4c0779a3",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Software Engineer, Frontend (UI) – San Francisco San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform that makes complex engineering work clear, collaborative, and verifiable. We're reimagining how complex hardware is built by pairing world-class engineers with AI agents to design, iterate, and ship faster than ever before. About the role Flow is hiring a senior frontend software engineer to own core user experiences in Flow and bring AI-powered workflows into a clean, intuitive UI. You will work closely with design, product, infra, and AI engineers to make complex systems engineering concepts feel simple and fast.​ You will help define how “agentic systems engineers” and domain experts interact with Flow, from requirements views to reviews, simulations, and AI assistance.​ What you'll do - Own major user-facing surfaces in Flow v3, including interactive requirements views, collaboration and review flows, and AI-assisted workflows. - Implement high-quality, accessible UI using a modern frontend framework and component system. - Integrate AI features into the product in ways that feel natural, interpretable, and helpful to engineers. - Partner with design and product to iterate quickly on interaction patterns, prototypes, and new workflows. - Help shape frontend architecture, design systems, and performance optimizations as the app and user base scale. About you - 5+ years of experience building rich, data-heavy web applications with a modern frontend framework. - Strong experience with React (or similar) and TypeScript, including component design, state management, and testing. - A product mindset: you think in",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:d0060074e66a3ae0a6766f4a4c0779a3:description:flow",
          "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.5c429f548c42d3e4b7",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d0060074e66a3ae0a6766f4a4c0779a3",
          "signal_type": "query_match",
          "display_text": "Employer: \"engineering\"",
          "tooltip": "Employer matched \"engineering\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "engineering",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:d0060074e66a3ae0a6766f4a4c0779a3:employer:engineering",
          "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.8c6f9f1d90ca275c61",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d0060074e66a3ae0a6766f4a4c0779a3",
          "signal_type": "query_match",
          "display_text": "Employer: \"flow\"",
          "tooltip": "Employer matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:d0060074e66a3ae0a6766f4a4c0779a3:employer:flow",
          "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.eead33de22be308193",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d0060074e66a3ae0a6766f4a4c0779a3",
          "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": "Flow Engineering",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:6fe42a52ca332fe0979361b0",
          "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.d8fb920656185240d4",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d0060074e66a3ae0a6766f4a4c0779a3",
          "signal_type": "query_match",
          "display_text": "Employer: \"engineering\"",
          "tooltip": "Employer contains \"engineering\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "engineering",
          "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.dd25cbd42e1346c99f",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d0060074e66a3ae0a6766f4a4c0779a3",
          "signal_type": "query_match",
          "display_text": "Employer: \"flow\"",
          "tooltip": "Employer contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "366fd3668b7c94811ae5bce51656bccd",
      "title": "Senior Industrial Engineer - Material Flow Design and Optimization",
      "employer_name": "Generac",
      "employer_slug": "generac",
      "location_text": "Waukesha, WI - 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": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-08T00:00:00.000Z",
      "apply_url": "https://generac.wd5.myworkdayjobs.com/External/job/Waukesha-WI---USA/Senior-Industrial-Engineer---Material-Flow-Design-and-Optimization_JR14298",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Industrial Engineer - Material Flow Design and Optimization Waukesha, WI - USA posted: Posted 4 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": "Industrial",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.664d19dc66b192bfd2",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "366fd3668b7c94811ae5bce51656bccd",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Industrial Engineer - Material Flow Design and Optimization Waukesha, WI - USA posted: Posted 4 Days Ago",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:366fd3668b7c94811ae5bce51656bccd:description:flow",
          "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.bc618082b9e30d6d76",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "366fd3668b7c94811ae5bce51656bccd",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Industrial Engineer - Material Flow Design and Optimization",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:366fd3668b7c94811ae5bce51656bccd:title:flow",
          "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.5c2e9e0f4298fd697e",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "366fd3668b7c94811ae5bce51656bccd",
          "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 Industrial Engineer - Material Flow Design and Optimization",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:6fdc2451808994d39e9ad32b",
          "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.c31f750b193811afcb",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "366fd3668b7c94811ae5bce51656bccd",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Industrial Engineer - Material Flow Design and Optimization",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "cf6fcb23a26419716239d99615ebbc22",
      "title": "Principal Data Flow Engineer",
      "employer_name": "Leidos",
      "employer_slug": "leidos",
      "location_text": "Columbia, MD",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-19T00:00:00.000Z",
      "apply_url": "https://leidos.wd5.myworkdayjobs.com/External/job/Columbia-MD/Principal-Data-Flow-Engineer_R-00183648-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal Data Flow Engineer Columbia, MD posted: Posted 24 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.leidos.com/careers/pay-benefits",
      "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,
      "seniority": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "employer_industry": "Defense",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f005c8797082f5428c",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "cf6fcb23a26419716239d99615ebbc22",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Principal Data Flow Engineer Columbia, MD posted: Posted 24 Days Ago",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:cf6fcb23a26419716239d99615ebbc22:description:flow",
          "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.f74041e4a645770556",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "cf6fcb23a26419716239d99615ebbc22",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Principal Data Flow Engineer",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:cf6fcb23a26419716239d99615ebbc22:title:flow",
          "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.69156d638a602a5859",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "cf6fcb23a26419716239d99615ebbc22",
          "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": "Principal Data Flow Engineer",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:b0bb5074b3fe5a441477227b",
          "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.c914cd6a66d06df662",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "cf6fcb23a26419716239d99615ebbc22",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Principal Data Flow Engineer",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.0c02839f928a1874b4",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "cf6fcb23a26419716239d99615ebbc22",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-05-07"
          }
        }
      ]
    },
    {
      "id": "8b5ed14fd891592edfb049e30d765875",
      "title": "Staff Engineer Methodology & Flow Development",
      "employer_name": "Infineon Technologies",
      "employer_slug": "infineon-technologies",
      "location_text": "Bangalore BTP (India) | Belgrade (Serbia)",
      "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": [],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://infineon.eightfold.ai/careers/job/563808967594643",
      "apply_url_verified": false,
      "ats": "eightfold",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Engineer Methodology & Flow Development Bangalore BTP (India) | Belgrade (Serbia)",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.412f54ddd04c85bc68",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "8b5ed14fd891592edfb049e30d765875",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Engineer Methodology & Flow Development Bangalore BTP (India) | Belgrade (Serbia)",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:8b5ed14fd891592edfb049e30d765875:description:flow",
          "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.fb6ead08f88509126b",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "8b5ed14fd891592edfb049e30d765875",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Staff Engineer Methodology & Flow Development",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:8b5ed14fd891592edfb049e30d765875:title:flow",
          "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.f617cabd8bbe6d0eb3",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "8b5ed14fd891592edfb049e30d765875",
          "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 Engineer Methodology & Flow Development",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:f0968f97343e146ed5d48ef5",
          "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.5d64719f8fb67475a1",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "8b5ed14fd891592edfb049e30d765875",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Staff Engineer Methodology & Flow Development",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "2fac605662fd4b0f3d02ce959be8d82a",
      "title": "Materials Process & Flow Engineer",
      "employer_name": "Magna International Inc.",
      "employer_slug": "magna",
      "location_text": "Mesa, Arizona, US",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://magna.wd3.myworkdayjobs.com/Magna/job/Mesa-Arizona-US/Planner-Materials-Management_R00234773",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Materials Process & Flow Engineer Mesa, Arizona, US posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.20f70c21a043f0620c",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "2fac605662fd4b0f3d02ce959be8d82a",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Materials Process & Flow Engineer Mesa, Arizona, US posted: Posted 30+ Days Ago",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:2fac605662fd4b0f3d02ce959be8d82a:description:flow",
          "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.37c177d8cd6ea1e6f5",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "2fac605662fd4b0f3d02ce959be8d82a",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Materials Process & Flow Engineer",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:2fac605662fd4b0f3d02ce959be8d82a:title:flow",
          "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.91c1bff9324c43f045",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "2fac605662fd4b0f3d02ce959be8d82a",
          "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": "Materials Process & Flow Engineer",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:3b5fc08855c7eb6771e5495f",
          "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.9da30f0ef2e0e33d17",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "2fac605662fd4b0f3d02ce959be8d82a",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Materials Process & Flow Engineer",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "d54153b6178850f7abefd0c226487acb",
      "title": "EDA Design Flow Development Engineer",
      "employer_name": "Intel",
      "employer_slug": "intel",
      "location_text": "4 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T00:00:00.000Z",
      "apply_url": "https://intel.wd1.myworkdayjobs.com/External/job/US-California-Santa-Clara/EDA-Design-Flow-Development-Engineer_JR0284647-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "EDA Design Flow Development Engineer 4 Locations posted: Posted Today",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Technology",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.fc99a4f8f0b500f219",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d54153b6178850f7abefd0c226487acb",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "EDA Design Flow Development Engineer 4 Locations posted: Posted Today",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:d54153b6178850f7abefd0c226487acb:description:flow",
          "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.cae57ce508ad858bcb",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d54153b6178850f7abefd0c226487acb",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "EDA Design Flow Development Engineer",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:d54153b6178850f7abefd0c226487acb:title:flow",
          "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.961970b6de51768e51",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d54153b6178850f7abefd0c226487acb",
          "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": "EDA Design Flow Development Engineer",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:fc085f9c0dcc4926a7187cf0",
          "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.0c07e6eea001d7f3e3",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d54153b6178850f7abefd0c226487acb",
          "signal_type": "query_match",
          "display_text": "Title: \"flow\"",
          "tooltip": "Title contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "EDA Design Flow Development Engineer",
          "matched_input": "flow",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.b96126859448b9eff3",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "d54153b6178850f7abefd0c226487acb",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "09317db1f8875138cad628e07b8ab34e",
      "title": "Staff Software Engineer, Frontend – San Francisco",
      "employer_name": "Flow Engineering",
      "employer_slug": "flow-engineering",
      "location_text": "San Francisco, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-11T19:36:15.524Z",
      "apply_url": "https://jobs.ashbyhq.com/flowengineering/d7d6a318-542e-409a-8258-90c737de595e",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Software Engineer, Frontend – San Francisco San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform that makes complex engineering work clear, collaborative, and verifiable. We're reimagining how complex hardware is built by pairing world-class engineers with AI agents to design, iterate, and ship faster than ever before. About the role Flow is hiring a staff frontend software engineer to own core user experiences in Flow and bring AI-powered workflows into a clean, intuitive UI. You will work closely with design, product, infra, and AI engineers to make complex systems engineering concepts feel simple and fast.​ You will help define how “agentic systems engineers” and domain experts interact with Flow, from requirements views to reviews, simulations, and AI assistance.​ What you'll do - Own major user-facing surfaces in Flow v3, including interactive requirements views, collaboration and review flows, and AI-assisted workflows. - Implement high-quality, accessible UI using a modern frontend framework and component system. - Integrate AI features into the product in ways that feel natural, interpretable, and helpful to engineers. - Partner with design and product to iterate quickly on interaction patterns, prototypes, and new workflows. - Help shape frontend architecture, design systems, and performance optimizations as the app and user base scale. About you - 8+ years of experience building rich, data-heavy web applications with a modern frontend framework. - Strong experience with React (or similar) and TypeScript, including component design, state management, and testing. - A product mindset: you think in terms",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3f694eb8388d41ab42",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "09317db1f8875138cad628e07b8ab34e",
          "signal_type": "query_match",
          "display_text": "Description: \"engineering\"",
          "tooltip": "Description matched \"engineering\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Software Engineer, Frontend – San Francisco San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform that makes complex engineering work clear, collaborative, and verifiable. We're reimagining how complex hardware is built by pairing world-class engineers with AI agents to design, iterate, and ship faster than ever before. About the role Flow is hiring a staff frontend software engineer to own core user experiences in Flow and bring AI-powered workflows into a clean, intuitive UI. You will work closely with design, product, infra, and AI engineers to make complex systems engineering concepts feel simple and fast.​ You will help define how “agentic systems engineers” and domain experts interact with Flow, from requirements views to reviews, simulations, and AI assistance.​ What you'll do - Own major user-facing surfaces in Flow v3, including interactive requirements views, collaboration and review flows, and AI-assisted workflows. - Implement high-quality, accessible UI using a modern frontend framework and component system. - Integrate AI features into the product in ways that feel natural, interpretable, and helpful to engineers. - Partner with design and product to iterate quickly on interaction patterns, prototypes, and new workflows. - Help shape frontend architecture, design systems, and performance optimizations as the app and user base scale. About you - 8+ years of experience building rich, data-heavy web applications with a modern frontend framework. - Strong experience with React (or similar) and TypeScript, including component design, state management, and testing. - A product mindset: you think in terms",
          "matched_input": "engineering",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:09317db1f8875138cad628e07b8ab34e:description:engineering",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c4dd38ed752efaedae",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "09317db1f8875138cad628e07b8ab34e",
          "signal_type": "query_match",
          "display_text": "Description: \"flow\"",
          "tooltip": "Description matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Software Engineer, Frontend – San Francisco San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform that makes complex engineering work clear, collaborative, and verifiable. We're reimagining how complex hardware is built by pairing world-class engineers with AI agents to design, iterate, and ship faster than ever before. About the role Flow is hiring a staff frontend software engineer to own core user experiences in Flow and bring AI-powered workflows into a clean, intuitive UI. You will work closely with design, product, infra, and AI engineers to make complex systems engineering concepts feel simple and fast.​ You will help define how “agentic systems engineers” and domain experts interact with Flow, from requirements views to reviews, simulations, and AI assistance.​ What you'll do - Own major user-facing surfaces in Flow v3, including interactive requirements views, collaboration and review flows, and AI-assisted workflows. - Implement high-quality, accessible UI using a modern frontend framework and component system. - Integrate AI features into the product in ways that feel natural, interpretable, and helpful to engineers. - Partner with design and product to iterate quickly on interaction patterns, prototypes, and new workflows. - Help shape frontend architecture, design systems, and performance optimizations as the app and user base scale. About you - 8+ years of experience building rich, data-heavy web applications with a modern frontend framework. - Strong experience with React (or similar) and TypeScript, including component design, state management, and testing. - A product mindset: you think in terms",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:09317db1f8875138cad628e07b8ab34e:description:flow",
          "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.1ba7a5179ec41868f1",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "09317db1f8875138cad628e07b8ab34e",
          "signal_type": "query_match",
          "display_text": "Employer: \"engineering\"",
          "tooltip": "Employer matched \"engineering\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "engineering",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:09317db1f8875138cad628e07b8ab34e:employer:engineering",
          "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.aba406c1d3ffaaad4b",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "09317db1f8875138cad628e07b8ab34e",
          "signal_type": "query_match",
          "display_text": "Employer: \"flow\"",
          "tooltip": "Employer matched \"flow\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "flow",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c799ec4249f910d024c1:09317db1f8875138cad628e07b8ab34e:employer:flow",
          "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.382066b2ff7636a2a3",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "09317db1f8875138cad628e07b8ab34e",
          "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": "Flow Engineering",
          "matched_input": "flow engineering",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:ba4e991d972e21fa81667dab",
          "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.3f1b6621b40f9d78a2",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "09317db1f8875138cad628e07b8ab34e",
          "signal_type": "query_match",
          "display_text": "Employer: \"engineering\"",
          "tooltip": "Employer contains \"engineering\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "engineering",
          "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.56c8237dc07f79db46",
          "query_id": "gq_c799ec4249f910d024c1",
          "job_id": "09317db1f8875138cad628e07b8ab34e",
          "signal_type": "query_match",
          "display_text": "Employer: \"flow\"",
          "tooltip": "Employer contains \"flow\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Flow Engineering",
          "matched_input": "flow",
          "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
          }
        }
      ]
    }
  ],
  "total": 30,
  "page": 1,
  "per_page": 24,
  "applied_filters": {
    "q": "Flow Engineering",
    "quality_floor": "all"
  },
  "hidden_unknown_benefits_count": 0,
  "hidden_quality_floor_count": 0,
  "quality_floor": "all",
  "search_profile": {
    "profile_id": "inv382.d6.pg_textsearch_bge_small_rrf.v1",
    "bm25_extension": "pg_textsearch",
    "vector_model": "BAAI/bge-small-en-v1.5",
    "vector_model_version": "v1.5",
    "fusion_method": "rrf"
  },
  "explanation_context": {
    "non_trivial_query": true,
    "query_terms": [
      "flow",
      "engineering"
    ],
    "active_filter_keys": [],
    "visible_signal_limit": 3,
    "visible_trust_limit": 2
  },
  "event_context": null
}