{
  "results": [
    {
      "id": "d85842b98aa022ac6355a1e6c51f47da",
      "title": "Technical Account Manager, Enterprise",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brooklyn, NY",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 150000,
      "salary_max": 170000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 150000,
      "base_salary_max": 170000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-05-18T18:20:09.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7738155003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Technical Account Manager, Enterprise Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We're looking for a dedicated Technical Account Manager (TAM) who will have the exciting opportunity to collaborate closely with our Enterprise customers, guiding them in effectively and efficiently operating Altana's Atlas platform. As a TAM, you'll be the driving force behind user adoption, product enablement, and value realization, ensuring overall customer success. You'll be our customers' champion, serving as their day-to-day relationship manager, conducting regular check-ins, and leading Quarterly Business Reviews (QBRs). Additionally, you'll be instrumental in developing pipelines for product usage, up-selling, and cross-selling expansions. You Will - Drive the onboarding and adoption process for new users, making sure they harness the full potential of Altana's offerings. - Assist customers with in-depth analysis to optimize their experience and results. - Act as the first point of contact for support requests, quickly engaging the right resources to resolve issues. - Own customer calls and Quarterly Business Reviews, leveraging data-driven insights to astonish our clients while promptly relaying valuable feedback to the appropriate teams. - Collaborate with Account Executives to identify and capitalize on expansion opportunities, transforming them into reality. - Be held accountable for effectively synthesizing and communicating feedback to the product team. - Collaborate with our implementation engineering team to ensure successful delivery and work closely with our sales engineering team",
      "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": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "sales",
      "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": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.131fb88ec7bfca8db3",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d85842b98aa022ac6355a1e6c51f47da",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Technical Account Manager, Enterprise Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We're looking for a dedicated Technical Account Manager (TAM) who will have the exciting opportunity to collaborate closely with our Enterprise customers, guiding them in effectively and efficiently operating Altana's Atlas platform. As a TAM, you'll be the driving force behind user adoption, product enablement, and value realization, ensuring overall customer success. You'll be our customers' champion, serving as their day-to-day relationship manager, conducting regular check-ins, and leading Quarterly Business Reviews (QBRs). Additionally, you'll be instrumental in developing pipelines for product usage, up-selling, and cross-selling expansions. You Will - Drive the onboarding and adoption process for new users, making sure they harness the full potential of Altana's offerings. - Assist customers with in-depth analysis to optimize their experience and results. - Act as the first point of contact for support requests, quickly engaging the right resources to resolve issues. - Own customer calls and Quarterly Business Reviews, leveraging data-driven insights to astonish our clients while promptly relaying valuable feedback to the appropriate teams. - Collaborate with Account Executives to identify and capitalize on expansion opportunities, transforming them into reality. - Be held accountable for effectively synthesizing and communicating feedback to the product team. - Collaborate with our implementation engineering team to ensure successful delivery and work closely with our sales engineering team",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d85842b98aa022ac6355a1e6c51f47da:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.331215687cd5f8946c",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d85842b98aa022ac6355a1e6c51f47da",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Technical Account Manager, Enterprise Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We're looking for a dedicated Technical Account Manager (TAM) who will have the exciting opportunity to collaborate closely with our Enterprise customers, guiding them in effectively and efficiently operating Altana's Atlas platform. As a TAM, you'll be the driving force behind user adoption, product enablement, and value realization, ensuring overall customer success. You'll be our customers' champion, serving as their day-to-day relationship manager, conducting regular check-ins, and leading Quarterly Business Reviews (QBRs). Additionally, you'll be instrumental in developing pipelines for product usage, up-selling, and cross-selling expansions. You Will - Drive the onboarding and adoption process for new users, making sure they harness the full potential of Altana's offerings. - Assist customers with in-depth analysis to optimize their experience and results. - Act as the first point of contact for support requests, quickly engaging the right resources to resolve issues. - Own customer calls and Quarterly Business Reviews, leveraging data-driven insights to astonish our clients while promptly relaying valuable feedback to the appropriate teams. - Collaborate with Account Executives to identify and capitalize on expansion opportunities, transforming them into reality. - Be held accountable for effectively synthesizing and communicating feedback to the product team. - Collaborate with our implementation engineering team to ensure successful delivery and work closely with our sales engineering team",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d85842b98aa022ac6355a1e6c51f47da:description:altana",
          "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.1e5d576edee7d82321",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d85842b98aa022ac6355a1e6c51f47da",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d85842b98aa022ac6355a1e6c51f47da:employer:altana",
          "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.ae0610da4778ae24b7",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d85842b98aa022ac6355a1e6c51f47da",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d85842b98aa022ac6355a1e6c51f47da:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.b957e2ccc2f516eede",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d85842b98aa022ac6355a1e6c51f47da",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:172aaef69719f047ac649571",
          "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.5e71cf9d09712c3079",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d85842b98aa022ac6355a1e6c51f47da",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.879b2beed60815fac0",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d85842b98aa022ac6355a1e6c51f47da",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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": "23343f8e4213f12e8bc78e9104925169",
      "title": "Technical Account Manager, Logistics",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brooklyn, NY",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 125000,
      "salary_max": 150000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 125000,
      "base_salary_max": 150000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-05-28T19:34:47.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7751612003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Technical Account Manager, Logistics Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We're looking for a dedicated Technical Account Manager (TAM) who will have the exciting opportunity to collaborate closely with our Logistics customers, guiding them in effectively and efficiently operating Altana's platform. As a TAM, you'll be the driving force behind user adoption, product enablement, and value realization, ensuring overall customer success. You'll be our customers' champion, serving as their day-to-day relationship manager, conducting regular check-ins, and leading Quarterly Business Reviews (QBRs). Additionally, you'll be instrumental in developing pipelines for product usage, up-selling, and cross-selling expansions. You Will - Manage strategic accounts across the world's largest logistics service providers, driving measurable impact through strong stakeholder alignment, adoption, and growth across global operations. - Drive the onboarding and adoption process for new users, making sure they harness the full potential of Altana's offerings. - Assist customers with in-depth analysis to optimize their experience and results. - Act as the first point of contact for support requests, quickly engaging the right resources to resolve issues. - Own customer calls and Quarterly Business Reviews, leveraging data-driven insights to astonish our clients while promptly relaying valuable feedback to the appropriate teams. - Balance strategic thinking with tactical execution, connecting day-to-day account management with broader commercial and product goals. - Collaborate with Account Executives to identify and capitalize",
      "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": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "sales",
      "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": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7369c8a8cf889d1baa",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "23343f8e4213f12e8bc78e9104925169",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Technical Account Manager, Logistics Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We're looking for a dedicated Technical Account Manager (TAM) who will have the exciting opportunity to collaborate closely with our Logistics customers, guiding them in effectively and efficiently operating Altana's platform. As a TAM, you'll be the driving force behind user adoption, product enablement, and value realization, ensuring overall customer success. You'll be our customers' champion, serving as their day-to-day relationship manager, conducting regular check-ins, and leading Quarterly Business Reviews (QBRs). Additionally, you'll be instrumental in developing pipelines for product usage, up-selling, and cross-selling expansions. You Will - Manage strategic accounts across the world's largest logistics service providers, driving measurable impact through strong stakeholder alignment, adoption, and growth across global operations. - Drive the onboarding and adoption process for new users, making sure they harness the full potential of Altana's offerings. - Assist customers with in-depth analysis to optimize their experience and results. - Act as the first point of contact for support requests, quickly engaging the right resources to resolve issues. - Own customer calls and Quarterly Business Reviews, leveraging data-driven insights to astonish our clients while promptly relaying valuable feedback to the appropriate teams. - Balance strategic thinking with tactical execution, connecting day-to-day account management with broader commercial and product goals. - Collaborate with Account Executives to identify and capitalize",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:23343f8e4213f12e8bc78e9104925169:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b020440547cec990fe",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "23343f8e4213f12e8bc78e9104925169",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Technical Account Manager, Logistics Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We're looking for a dedicated Technical Account Manager (TAM) who will have the exciting opportunity to collaborate closely with our Logistics customers, guiding them in effectively and efficiently operating Altana's platform. As a TAM, you'll be the driving force behind user adoption, product enablement, and value realization, ensuring overall customer success. You'll be our customers' champion, serving as their day-to-day relationship manager, conducting regular check-ins, and leading Quarterly Business Reviews (QBRs). Additionally, you'll be instrumental in developing pipelines for product usage, up-selling, and cross-selling expansions. You Will - Manage strategic accounts across the world's largest logistics service providers, driving measurable impact through strong stakeholder alignment, adoption, and growth across global operations. - Drive the onboarding and adoption process for new users, making sure they harness the full potential of Altana's offerings. - Assist customers with in-depth analysis to optimize their experience and results. - Act as the first point of contact for support requests, quickly engaging the right resources to resolve issues. - Own customer calls and Quarterly Business Reviews, leveraging data-driven insights to astonish our clients while promptly relaying valuable feedback to the appropriate teams. - Balance strategic thinking with tactical execution, connecting day-to-day account management with broader commercial and product goals. - Collaborate with Account Executives to identify and capitalize",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:23343f8e4213f12e8bc78e9104925169:description:altana",
          "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.4915af43e99f0020da",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "23343f8e4213f12e8bc78e9104925169",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:23343f8e4213f12e8bc78e9104925169:employer:altana",
          "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.8ad7517959461d176f",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "23343f8e4213f12e8bc78e9104925169",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:23343f8e4213f12e8bc78e9104925169:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.7a85bf90a10358a66c",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "23343f8e4213f12e8bc78e9104925169",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:0fc4d4cac7f7e58e8d0238ec",
          "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.58fa7614d5640fac0a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "23343f8e4213f12e8bc78e9104925169",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c7682d1f09450d09a3",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "23343f8e4213f12e8bc78e9104925169",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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": "508436daf052d435243e7cbea1e51744",
      "title": "Senior Implementations Data Engineer",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "London, England",
      "country": "GB",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2025-12-02T18:57:15.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7545309003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Implementations Data Engineer London, England Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is focused on integrating Altana's products with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create and customize data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy. The Implementation team works closely with customers, as well as our internal engineering, machine learning, and product organizations. Specifically, the team is focussed on: - Develop, deploy and continuously improve distributed, big-data pipelines powering Altana's state of the art network analysis, ML, data ingestion and fusion capabilities - Understanding and driving forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base - Serve as the technical expert in client-facing meetings, bridging the gap between complex government requirements and our platform's technical architecture. - Work in a cross-functional team of engineers, data scientists, and product managers - Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment About You You are a data engineer with a strong technical background who excels at building trust and communicating complex technical concepts to stakeholders. You are someone who proactively takes ownership of the end-to-end design and operation of data solutions and refines the systems",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 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.66c1a2ff1c3a81742f",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "508436daf052d435243e7cbea1e51744",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Implementations Data Engineer London, England Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is focused on integrating Altana's products with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create and customize data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy. The Implementation team works closely with customers, as well as our internal engineering, machine learning, and product organizations. Specifically, the team is focussed on: - Develop, deploy and continuously improve distributed, big-data pipelines powering Altana's state of the art network analysis, ML, data ingestion and fusion capabilities - Understanding and driving forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base - Serve as the technical expert in client-facing meetings, bridging the gap between complex government requirements and our platform's technical architecture. - Work in a cross-functional team of engineers, data scientists, and product managers - Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment About You You are a data engineer with a strong technical background who excels at building trust and communicating complex technical concepts to stakeholders. You are someone who proactively takes ownership of the end-to-end design and operation of data solutions and refines the systems",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:508436daf052d435243e7cbea1e51744:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a41680c7f6dd100a95",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "508436daf052d435243e7cbea1e51744",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Implementations Data Engineer London, England Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is focused on integrating Altana's products with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create and customize data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy. The Implementation team works closely with customers, as well as our internal engineering, machine learning, and product organizations. Specifically, the team is focussed on: - Develop, deploy and continuously improve distributed, big-data pipelines powering Altana's state of the art network analysis, ML, data ingestion and fusion capabilities - Understanding and driving forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base - Serve as the technical expert in client-facing meetings, bridging the gap between complex government requirements and our platform's technical architecture. - Work in a cross-functional team of engineers, data scientists, and product managers - Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment About You You are a data engineer with a strong technical background who excels at building trust and communicating complex technical concepts to stakeholders. You are someone who proactively takes ownership of the end-to-end design and operation of data solutions and refines the systems",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:508436daf052d435243e7cbea1e51744:description:altana",
          "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.98fc80334bf4f287d9",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "508436daf052d435243e7cbea1e51744",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:508436daf052d435243e7cbea1e51744:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f457c6f5f12705d803",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "508436daf052d435243e7cbea1e51744",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:508436daf052d435243e7cbea1e51744:employer:altana",
          "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.f20382d379675a553d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "508436daf052d435243e7cbea1e51744",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:4624af5367f3fb97b16986b0",
          "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.bd280cb87ebe0f3c3b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "508436daf052d435243e7cbea1e51744",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e74c6a236780995a37",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "508436daf052d435243e7cbea1e51744",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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": "1ed489d512e8057738cde0b45e5b0f7a",
      "title": "Solutions Architect (International Trade & Customs)",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Amsterdam, Netherlands",
      "country": "NL",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-06-06T13:53:56.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7765630003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Solutions Architect (International Trade & Customs) Amsterdam, Netherlands Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana As we scale our international government business in Europe, we're hiring a Solutions Consultant (internally part of our Sales Engineering / pre-sales team) to be the technical lead on Altana's work with customs authorities, finance ministries, and trade enforcement agencies across the EU. You'll bring deep domain expertise in government-side trade and customs - customs enforcement and modernization, sanctions and export controls, forced labor and supply chain due diligence, and CBAM - and translate that expertise into the technical sales work that wins deals: architecting solutions, running demos, closing new business, navigating complex stakeholder conversations, and shaping how Altana's platform meets the realities of European public sector customers. You'll partner closely with Sales, Product, Engineering, and Marketing, and act as the voice of the customer back to our product and engineering teams. This is a foundational hire as we establish our presence in the Netherlands. You Will - Deeply understand international trade, economic security, and associated subject matter, Altana's technology, and our customer base-and demonstrate effective communication with respect to each. - Support the sales process to potential customers and existing customers in the customs and trade space-identifying new use cases to address stakeholder needs before they have articulated them. - Become a power-user of the Altana platform, leveraging customer",
      "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": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "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.23dbce65257eb55875",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "1ed489d512e8057738cde0b45e5b0f7a",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Solutions Architect (International Trade & Customs) Amsterdam, Netherlands Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana As we scale our international government business in Europe, we're hiring a Solutions Consultant (internally part of our Sales Engineering / pre-sales team) to be the technical lead on Altana's work with customs authorities, finance ministries, and trade enforcement agencies across the EU. You'll bring deep domain expertise in government-side trade and customs - customs enforcement and modernization, sanctions and export controls, forced labor and supply chain due diligence, and CBAM - and translate that expertise into the technical sales work that wins deals: architecting solutions, running demos, closing new business, navigating complex stakeholder conversations, and shaping how Altana's platform meets the realities of European public sector customers. You'll partner closely with Sales, Product, Engineering, and Marketing, and act as the voice of the customer back to our product and engineering teams. This is a foundational hire as we establish our presence in the Netherlands. You Will - Deeply understand international trade, economic security, and associated subject matter, Altana's technology, and our customer base-and demonstrate effective communication with respect to each. - Support the sales process to potential customers and existing customers in the customs and trade space-identifying new use cases to address stakeholder needs before they have articulated them. - Become a power-user of the Altana platform, leveraging customer",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:1ed489d512e8057738cde0b45e5b0f7a:description:altana",
          "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.9a7e93b874536d8f0b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "1ed489d512e8057738cde0b45e5b0f7a",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Solutions Architect (International Trade & Customs) Amsterdam, Netherlands Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana As we scale our international government business in Europe, we're hiring a Solutions Consultant (internally part of our Sales Engineering / pre-sales team) to be the technical lead on Altana's work with customs authorities, finance ministries, and trade enforcement agencies across the EU. You'll bring deep domain expertise in government-side trade and customs - customs enforcement and modernization, sanctions and export controls, forced labor and supply chain due diligence, and CBAM - and translate that expertise into the technical sales work that wins deals: architecting solutions, running demos, closing new business, navigating complex stakeholder conversations, and shaping how Altana's platform meets the realities of European public sector customers. You'll partner closely with Sales, Product, Engineering, and Marketing, and act as the voice of the customer back to our product and engineering teams. This is a foundational hire as we establish our presence in the Netherlands. You Will - Deeply understand international trade, economic security, and associated subject matter, Altana's technology, and our customer base-and demonstrate effective communication with respect to each. - Support the sales process to potential customers and existing customers in the customs and trade space-identifying new use cases to address stakeholder needs before they have articulated them. - Become a power-user of the Altana platform, leveraging customer",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:1ed489d512e8057738cde0b45e5b0f7a:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6fc3b4ce525557f244",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "1ed489d512e8057738cde0b45e5b0f7a",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:1ed489d512e8057738cde0b45e5b0f7a:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e2359fe007a7deaca3",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "1ed489d512e8057738cde0b45e5b0f7a",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:1ed489d512e8057738cde0b45e5b0f7a:employer:altana",
          "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.a6928f0ca4bdcbdc28",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "1ed489d512e8057738cde0b45e5b0f7a",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:caee592be8fb5c7fd258cd2c",
          "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.1102fdbd85e741984e",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "1ed489d512e8057738cde0b45e5b0f7a",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7cd03c74ba2d24f9fa",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "1ed489d512e8057738cde0b45e5b0f7a",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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": "50668d35a4ccc181157857651e6753bc",
      "title": "Director of Accounting",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brooklyn, NY",
      "country": "US",
      "employment_type": "contract",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 200000,
      "salary_max": 230000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 200000,
      "base_salary_max": 230000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-04-03T02:57:14.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7688806003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Director of Accounting Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We are looking for a sharp, hands-on Director of Accounting to join our fast-growing team. In this role, you will lead a mighty accounting team, manage and quarterback the monthly closing process, streamline our internal accounting processes end-to-end including procure-to-pay and quote-to-cash. You will work cross-functionally with teams across the company and be a key driver of financial accuracy, reporting transparency, process efficiency, and operational scale. This role reports directly to Altana's Controller. Your Role NetSuite Administration & Month - End Close Optimization - Serve as the internal NetSuite subject matter expert, managing workflows, saved searches, and reporting. - Partner with IT and Finance leadership to support system upgrades, integrations, and new module implementations as the Company scales. - Ensure data integrity and build scalable processes that grow with the business and accelerate month-end close accuracy and utility. - Lead the identification of control gaps and work cross-functionally to remediate findings and strengthen control environment. - Streamline allocations across verticals and transaction types through a systematic and automated process. Team Leadership - Embed AI solutions into workflows on a regular basis. - Manage and develop a lean, high-performing accounting team, setting clear priorities and fostering a culture of accountability and continuous improvement. - Adapt quickly to shifting business needs and lead the team",
      "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": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "finance",
      "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": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.4fafd45bfb3e8dd872",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "50668d35a4ccc181157857651e6753bc",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Director of Accounting Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We are looking for a sharp, hands-on Director of Accounting to join our fast-growing team. In this role, you will lead a mighty accounting team, manage and quarterback the monthly closing process, streamline our internal accounting processes end-to-end including procure-to-pay and quote-to-cash. You will work cross-functionally with teams across the company and be a key driver of financial accuracy, reporting transparency, process efficiency, and operational scale. This role reports directly to Altana's Controller. Your Role NetSuite Administration & Month - End Close Optimization - Serve as the internal NetSuite subject matter expert, managing workflows, saved searches, and reporting. - Partner with IT and Finance leadership to support system upgrades, integrations, and new module implementations as the Company scales. - Ensure data integrity and build scalable processes that grow with the business and accelerate month-end close accuracy and utility. - Lead the identification of control gaps and work cross-functionally to remediate findings and strengthen control environment. - Streamline allocations across verticals and transaction types through a systematic and automated process. Team Leadership - Embed AI solutions into workflows on a regular basis. - Manage and develop a lean, high-performing accounting team, setting clear priorities and fostering a culture of accountability and continuous improvement. - Adapt quickly to shifting business needs and lead the team",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:50668d35a4ccc181157857651e6753bc:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f4f22e7340a649036c",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "50668d35a4ccc181157857651e6753bc",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Director of Accounting Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We are looking for a sharp, hands-on Director of Accounting to join our fast-growing team. In this role, you will lead a mighty accounting team, manage and quarterback the monthly closing process, streamline our internal accounting processes end-to-end including procure-to-pay and quote-to-cash. You will work cross-functionally with teams across the company and be a key driver of financial accuracy, reporting transparency, process efficiency, and operational scale. This role reports directly to Altana's Controller. Your Role NetSuite Administration & Month - End Close Optimization - Serve as the internal NetSuite subject matter expert, managing workflows, saved searches, and reporting. - Partner with IT and Finance leadership to support system upgrades, integrations, and new module implementations as the Company scales. - Ensure data integrity and build scalable processes that grow with the business and accelerate month-end close accuracy and utility. - Lead the identification of control gaps and work cross-functionally to remediate findings and strengthen control environment. - Streamline allocations across verticals and transaction types through a systematic and automated process. Team Leadership - Embed AI solutions into workflows on a regular basis. - Manage and develop a lean, high-performing accounting team, setting clear priorities and fostering a culture of accountability and continuous improvement. - Adapt quickly to shifting business needs and lead the team",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:50668d35a4ccc181157857651e6753bc:description:altana",
          "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.b7b104cda9771817e7",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "50668d35a4ccc181157857651e6753bc",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:50668d35a4ccc181157857651e6753bc:employer:altana",
          "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.d52274e2ed1de4c0a4",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "50668d35a4ccc181157857651e6753bc",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:50668d35a4ccc181157857651e6753bc:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.2ff8b08030f0919f2e",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "50668d35a4ccc181157857651e6753bc",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:5f27dce25a0ed691b5dd9f60",
          "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.83cb6c3d53d96ee1ff",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "50668d35a4ccc181157857651e6753bc",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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.924e71599c38a894df",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "50668d35a4ccc181157857651e6753bc",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "13dcaee07ca6da9c66d70956caa7e206",
      "title": "Head of Product Design",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brooklyn, NY",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 240000,
      "salary_max": 300000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 240000,
      "base_salary_max": 300000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-06-01T16:27:27.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7748669003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Head of Product Design Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana Altana's mission is to fix globalization. We are building a network that brings together public and private sector entities, across myriad workflows from customs and transaction processing, to macro policy analysis, to supply chain resilience. Combined with the age of agents and AI native experience this isn't something the SaaS playbook has prepared us for. As Head of Design you will shape the product vision of Altana and bring it to life. You will create a consistent, agent-first design system for handling a wide array of information-dense, complex workflows across governments, logistics providers, importers, and their suppliers across a range of use cases. And you need to lean into the evolving role of product design in an AI-native software development lifecycle. Traditional design organizations are not set up for this world. They scale linearly with headcount, ship Figma files to engineers as the unit of work, treat the design system as a component library, and assume the user is a single human clicking through a single product. That model is already breaking. Product managers can prototype in working code. Engineers can generate full interfaces from a prompt. Customers increasingly interact with the product through an agent that reasons, summarizes, and acts on their behalf. The center of gravity for how experiences get",
      "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": "staff_plus",
      "years_experience_min": 10,
      "years_experience_max": null,
      "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": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.34c90b84059b866547",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "13dcaee07ca6da9c66d70956caa7e206",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Head of Product Design Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana Altana's mission is to fix globalization. We are building a network that brings together public and private sector entities, across myriad workflows from customs and transaction processing, to macro policy analysis, to supply chain resilience. Combined with the age of agents and AI native experience this isn't something the SaaS playbook has prepared us for. As Head of Design you will shape the product vision of Altana and bring it to life. You will create a consistent, agent-first design system for handling a wide array of information-dense, complex workflows across governments, logistics providers, importers, and their suppliers across a range of use cases. And you need to lean into the evolving role of product design in an AI-native software development lifecycle. Traditional design organizations are not set up for this world. They scale linearly with headcount, ship Figma files to engineers as the unit of work, treat the design system as a component library, and assume the user is a single human clicking through a single product. That model is already breaking. Product managers can prototype in working code. Engineers can generate full interfaces from a prompt. Customers increasingly interact with the product through an agent that reasons, summarizes, and acts on their behalf. The center of gravity for how experiences get",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:13dcaee07ca6da9c66d70956caa7e206:description:altana",
          "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.50401e276e83b5c211",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "13dcaee07ca6da9c66d70956caa7e206",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Head of Product Design Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana Altana's mission is to fix globalization. We are building a network that brings together public and private sector entities, across myriad workflows from customs and transaction processing, to macro policy analysis, to supply chain resilience. Combined with the age of agents and AI native experience this isn't something the SaaS playbook has prepared us for. As Head of Design you will shape the product vision of Altana and bring it to life. You will create a consistent, agent-first design system for handling a wide array of information-dense, complex workflows across governments, logistics providers, importers, and their suppliers across a range of use cases. And you need to lean into the evolving role of product design in an AI-native software development lifecycle. Traditional design organizations are not set up for this world. They scale linearly with headcount, ship Figma files to engineers as the unit of work, treat the design system as a component library, and assume the user is a single human clicking through a single product. That model is already breaking. Product managers can prototype in working code. Engineers can generate full interfaces from a prompt. Customers increasingly interact with the product through an agent that reasons, summarizes, and acts on their behalf. The center of gravity for how experiences get",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:13dcaee07ca6da9c66d70956caa7e206:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.952272648b8bb5d458",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "13dcaee07ca6da9c66d70956caa7e206",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:13dcaee07ca6da9c66d70956caa7e206:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ab0b62639acaff18ba",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "13dcaee07ca6da9c66d70956caa7e206",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:13dcaee07ca6da9c66d70956caa7e206:employer:altana",
          "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.d8733369f352114add",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "13dcaee07ca6da9c66d70956caa7e206",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:dc2c369e7e15afb4ff2ab5c0",
          "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.1ceb8e5ccd56b41c96",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "13dcaee07ca6da9c66d70956caa7e206",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ffec584a832e3e09be",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "13dcaee07ca6da9c66d70956caa7e206",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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": "6b29d12f999b247b9fd22186a7aae26c",
      "title": "Staff Implementations Data Engineer",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "London, England",
      "country": "GB",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-05-05T17:59:48.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7725022003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Implementations Data Engineer London, England Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is focused on integrating Altana's products with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create and customize data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy. The Implementation team works closely with customers, as well as our internal engineering, machine learning, and product organizations. Specifically, the team is focussed on: - Develop, deploy and continuously improve distributed, big-data pipelines powering Altana's state of the art network analysis, ML, data ingestion and fusion capabilities - Understanding and driving forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base - Serve as the technical expert in client-facing meetings, bridging the gap between complex government requirements and our platform's technical architecture. - Work in a cross-functional team of engineers, data scientists, and product managers - Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment About You You are a seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands-on engineering skills with the ability to set technical direction, influence across teams, and elevate those around you. You are someone",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.087bdc6ad2cbbaea15",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "6b29d12f999b247b9fd22186a7aae26c",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Implementations Data Engineer London, England Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is focused on integrating Altana's products with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create and customize data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy. The Implementation team works closely with customers, as well as our internal engineering, machine learning, and product organizations. Specifically, the team is focussed on: - Develop, deploy and continuously improve distributed, big-data pipelines powering Altana's state of the art network analysis, ML, data ingestion and fusion capabilities - Understanding and driving forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base - Serve as the technical expert in client-facing meetings, bridging the gap between complex government requirements and our platform's technical architecture. - Work in a cross-functional team of engineers, data scientists, and product managers - Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment About You You are a seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands-on engineering skills with the ability to set technical direction, influence across teams, and elevate those around you. You are someone",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:6b29d12f999b247b9fd22186a7aae26c:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ead89386225155be6c",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "6b29d12f999b247b9fd22186a7aae26c",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Implementations Data Engineer London, England Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is focused on integrating Altana's products with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create and customize data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy. The Implementation team works closely with customers, as well as our internal engineering, machine learning, and product organizations. Specifically, the team is focussed on: - Develop, deploy and continuously improve distributed, big-data pipelines powering Altana's state of the art network analysis, ML, data ingestion and fusion capabilities - Understanding and driving forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base - Serve as the technical expert in client-facing meetings, bridging the gap between complex government requirements and our platform's technical architecture. - Work in a cross-functional team of engineers, data scientists, and product managers - Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment About You You are a seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands-on engineering skills with the ability to set technical direction, influence across teams, and elevate those around you. You are someone",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:6b29d12f999b247b9fd22186a7aae26c:description:altana",
          "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.8e46d8bbd69da5bd81",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "6b29d12f999b247b9fd22186a7aae26c",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:6b29d12f999b247b9fd22186a7aae26c:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.bf37fe8b218c73442e",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "6b29d12f999b247b9fd22186a7aae26c",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:6b29d12f999b247b9fd22186a7aae26c:employer:altana",
          "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.e6ab52f62a4186a81e",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "6b29d12f999b247b9fd22186a7aae26c",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:1dc43ee40b7de27a14c1f4df",
          "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.79159ff584dd823add",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "6b29d12f999b247b9fd22186a7aae26c",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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.a3843604a01ac27344",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "6b29d12f999b247b9fd22186a7aae26c",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "ddb7e643384fbe549083848243b4c145",
      "title": "Director of Government Affairs (EU)",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brussels, Belgium",
      "country": "BE",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-06-01T15:01:11.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7758513003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Director of Government Affairs (EU) Brussels, Belgium Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana Director of Government Affairs to lead European Union (EU) government relations efforts. This senior-level position will be responsible for developing and executing strategies to influence public policy, engage with key stakeholders, and ensure that our organization's interests are represented effectively at the EU level. You Will - Develop and implement comprehensive government affairs strategies that align with the company's goals and objectives; monitor and analyze legislative and regulatory developments in the EU that could impact the organization; and provide strategic advice to senior management on policy and regulatory issues. - Build and maintain strong relationships with EU institutions, including the European Commission, European Parliament, and Council of the EU; engage with member-state governments, industry associations, and other stakeholders to advocate for the company's positions; and represent the organization at meetings, conferences, and other public forums. - Develop and articulate policy positions on key issues affecting the organization; draft position papers, policy briefs, and advocacy materials; and lead lobbying efforts to influence policy and regulatory outcomes. - Work closely with internal departments, including marketing, sales, and the product team to ensure cohesive advocacy efforts; and coordinate with external consultants, lobbyists, and industry coalitions to amplify the organization's voice. - Communicate complex policy issues and the organization's positions to various audiences, including policymakers,",
      "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": "other",
      "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": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1a0be7ea53c6848fd5",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "ddb7e643384fbe549083848243b4c145",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Director of Government Affairs (EU) Brussels, Belgium Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana Director of Government Affairs to lead European Union (EU) government relations efforts. This senior-level position will be responsible for developing and executing strategies to influence public policy, engage with key stakeholders, and ensure that our organization's interests are represented effectively at the EU level. You Will - Develop and implement comprehensive government affairs strategies that align with the company's goals and objectives; monitor and analyze legislative and regulatory developments in the EU that could impact the organization; and provide strategic advice to senior management on policy and regulatory issues. - Build and maintain strong relationships with EU institutions, including the European Commission, European Parliament, and Council of the EU; engage with member-state governments, industry associations, and other stakeholders to advocate for the company's positions; and represent the organization at meetings, conferences, and other public forums. - Develop and articulate policy positions on key issues affecting the organization; draft position papers, policy briefs, and advocacy materials; and lead lobbying efforts to influence policy and regulatory outcomes. - Work closely with internal departments, including marketing, sales, and the product team to ensure cohesive advocacy efforts; and coordinate with external consultants, lobbyists, and industry coalitions to amplify the organization's voice. - Communicate complex policy issues and the organization's positions to various audiences, including policymakers,",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:ddb7e643384fbe549083848243b4c145:description:altana",
          "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.7391851af463d7cb64",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "ddb7e643384fbe549083848243b4c145",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Director of Government Affairs (EU) Brussels, Belgium Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana Director of Government Affairs to lead European Union (EU) government relations efforts. This senior-level position will be responsible for developing and executing strategies to influence public policy, engage with key stakeholders, and ensure that our organization's interests are represented effectively at the EU level. You Will - Develop and implement comprehensive government affairs strategies that align with the company's goals and objectives; monitor and analyze legislative and regulatory developments in the EU that could impact the organization; and provide strategic advice to senior management on policy and regulatory issues. - Build and maintain strong relationships with EU institutions, including the European Commission, European Parliament, and Council of the EU; engage with member-state governments, industry associations, and other stakeholders to advocate for the company's positions; and represent the organization at meetings, conferences, and other public forums. - Develop and articulate policy positions on key issues affecting the organization; draft position papers, policy briefs, and advocacy materials; and lead lobbying efforts to influence policy and regulatory outcomes. - Work closely with internal departments, including marketing, sales, and the product team to ensure cohesive advocacy efforts; and coordinate with external consultants, lobbyists, and industry coalitions to amplify the organization's voice. - Communicate complex policy issues and the organization's positions to various audiences, including policymakers,",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:ddb7e643384fbe549083848243b4c145:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a8ba49457d0b07528a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "ddb7e643384fbe549083848243b4c145",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:ddb7e643384fbe549083848243b4c145:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.bcc2d4385452413f3b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "ddb7e643384fbe549083848243b4c145",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:ddb7e643384fbe549083848243b4c145:employer:altana",
          "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.9dc546ceb7dded6980",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "ddb7e643384fbe549083848243b4c145",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Director of Government Affairs (EU)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:ddb7e643384fbe549083848243b4c145:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.94a89cc5e352406fa0",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "ddb7e643384fbe549083848243b4c145",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:51479b2823241186b213af0c",
          "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.7e3046a69df22e6d97",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "ddb7e643384fbe549083848243b4c145",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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.50b8d60dd70234a556",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "ddb7e643384fbe549083848243b4c145",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Director of Government Affairs (EU)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "8cff249b4235fead2f84bfa279a99ae4",
      "title": "Sales Operations Analyst",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brooklyn, NY",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 124000,
      "salary_max": 145000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 124000,
      "base_salary_max": 145000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-05-26T16:59:18.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7748333003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sales Operations Analyst Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana Our Revenue Operations team builds the data, systems, and processes that power Altana's commercial growth. We don't just support the sales team - we engineer how it scales. We're looking for a Sales Operations Analyst who brings analytical rigor, operational discipline, and a builder's instinct to the work of scaling a multi-vertical go-to-market organization. You'll support annual planning, build the reporting and data infrastructure leadership relies on, and help design the systems and automation that make our commercial operations more effective over time. This is a role with real breadth - from strategic planning support to keeping critical processes running accurately day to day. The right person moves comfortably between both, understands why the details matter to the bigger picture, and is always looking for ways to systematize what shouldn't be manual. You'll have exposure to senior leadership and genuine ownership from day one. You Will - Support annual planning across commercial, federal, and allied government verticals - quota design, territory allocation, headcount and capacity modeling, and ramp assumptions; build and maintain models that make each planning cycle faster and more rigorous - Build and maintain operational infrastructure across Altana's distinct sales motions, accounting for differences in deal structure, buying cycle, and success metrics - pipeline tracking, data architecture, and process design tailored",
      "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": "sales",
      "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": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2847ab579b04f1d4b2",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8cff249b4235fead2f84bfa279a99ae4",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Sales Operations Analyst Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana Our Revenue Operations team builds the data, systems, and processes that power Altana's commercial growth. We don't just support the sales team - we engineer how it scales. We're looking for a Sales Operations Analyst who brings analytical rigor, operational discipline, and a builder's instinct to the work of scaling a multi-vertical go-to-market organization. You'll support annual planning, build the reporting and data infrastructure leadership relies on, and help design the systems and automation that make our commercial operations more effective over time. This is a role with real breadth - from strategic planning support to keeping critical processes running accurately day to day. The right person moves comfortably between both, understands why the details matter to the bigger picture, and is always looking for ways to systematize what shouldn't be manual. You'll have exposure to senior leadership and genuine ownership from day one. You Will - Support annual planning across commercial, federal, and allied government verticals - quota design, territory allocation, headcount and capacity modeling, and ramp assumptions; build and maintain models that make each planning cycle faster and more rigorous - Build and maintain operational infrastructure across Altana's distinct sales motions, accounting for differences in deal structure, buying cycle, and success metrics - pipeline tracking, data architecture, and process design tailored",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:8cff249b4235fead2f84bfa279a99ae4:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.fd10344e48bac7f176",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8cff249b4235fead2f84bfa279a99ae4",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Sales Operations Analyst Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana Our Revenue Operations team builds the data, systems, and processes that power Altana's commercial growth. We don't just support the sales team - we engineer how it scales. We're looking for a Sales Operations Analyst who brings analytical rigor, operational discipline, and a builder's instinct to the work of scaling a multi-vertical go-to-market organization. You'll support annual planning, build the reporting and data infrastructure leadership relies on, and help design the systems and automation that make our commercial operations more effective over time. This is a role with real breadth - from strategic planning support to keeping critical processes running accurately day to day. The right person moves comfortably between both, understands why the details matter to the bigger picture, and is always looking for ways to systematize what shouldn't be manual. You'll have exposure to senior leadership and genuine ownership from day one. You Will - Support annual planning across commercial, federal, and allied government verticals - quota design, territory allocation, headcount and capacity modeling, and ramp assumptions; build and maintain models that make each planning cycle faster and more rigorous - Build and maintain operational infrastructure across Altana's distinct sales motions, accounting for differences in deal structure, buying cycle, and success metrics - pipeline tracking, data architecture, and process design tailored",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:8cff249b4235fead2f84bfa279a99ae4:description:altana",
          "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.56c792553d74d1cb77",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8cff249b4235fead2f84bfa279a99ae4",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:8cff249b4235fead2f84bfa279a99ae4:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e0e10be706afffaee7",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8cff249b4235fead2f84bfa279a99ae4",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:8cff249b4235fead2f84bfa279a99ae4:employer:altana",
          "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.7f8cced057571f76ec",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8cff249b4235fead2f84bfa279a99ae4",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:51e66c43896cbf25be3762bb",
          "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.002e2b366560ad9dc8",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8cff249b4235fead2f84bfa279a99ae4",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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.5dec49e67843f3054b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8cff249b4235fead2f84bfa279a99ae4",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "1f250ade369d7c055e198656b5fb9f0a",
      "title": "Executive Assistant to the CEO",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brooklyn, NY",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 145000,
      "salary_max": 170000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 145000,
      "base_salary_max": 170000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-03-29T13:46:12.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7683203003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Executive Assistant to the CEO Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. You Will CEO Time & Priority Management - Own and manage the CEO's calendar against company priorities - Protect focus time, sequence meetings, and manage tradeoffs - Anticipate needs through forward-looking planning Communication & Stakeholder Management - Triage inbox and Slack; elevate high-signal items - Draft, delegate, and resolve communications - Serve as a polished point of contact internally and externally Meeting Prep & Follow-Through - Ensure readiness with agendas, pre-reads, and materials - Track decisions, commitments, and follow-ups - Prepare briefs to increase meeting effectiveness Office of the CEO Operations - Partner with the Chief of Staff on weekly planning and cadence - Maintain simple systems to track priorities and actions - Support consistency in how the CEO operates Confidential Matters - Handle board, investor, and personnel materials with discretion - Manage signatures and secure documentation - Exercise strong judgment on escalation vs. resolution Travel & Logistics - Own travel planning and complex logistics - Coordinate leadership meetings and off-sites - Support personal logistics of the CEO as needed - Provide hospitality to office guests of the CEO You Have Executive Support Experience - 8+ years experience, including supporting a C-suite leader - Background in high-growth or fast-paced environments Judgment & Discretion - Trusted with sensitive information - Strong prioritization and decision instincts Operational",
      "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": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": null,
      "role_function": "operations",
      "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": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.775c5edb9960880a0b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "1f250ade369d7c055e198656b5fb9f0a",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Executive Assistant to the CEO Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. You Will CEO Time & Priority Management - Own and manage the CEO's calendar against company priorities - Protect focus time, sequence meetings, and manage tradeoffs - Anticipate needs through forward-looking planning Communication & Stakeholder Management - Triage inbox and Slack; elevate high-signal items - Draft, delegate, and resolve communications - Serve as a polished point of contact internally and externally Meeting Prep & Follow-Through - Ensure readiness with agendas, pre-reads, and materials - Track decisions, commitments, and follow-ups - Prepare briefs to increase meeting effectiveness Office of the CEO Operations - Partner with the Chief of Staff on weekly planning and cadence - Maintain simple systems to track priorities and actions - Support consistency in how the CEO operates Confidential Matters - Handle board, investor, and personnel materials with discretion - Manage signatures and secure documentation - Exercise strong judgment on escalation vs. resolution Travel & Logistics - Own travel planning and complex logistics - Coordinate leadership meetings and off-sites - Support personal logistics of the CEO as needed - Provide hospitality to office guests of the CEO You Have Executive Support Experience - 8+ years experience, including supporting a C-suite leader - Background in high-growth or fast-paced environments Judgment & Discretion - Trusted with sensitive information - Strong prioritization and decision instincts Operational",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:1f250ade369d7c055e198656b5fb9f0a:description:altana",
          "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.f3f9c578204037e549",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "1f250ade369d7c055e198656b5fb9f0a",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Executive Assistant to the CEO Brooklyn, NY Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. You Will CEO Time & Priority Management - Own and manage the CEO's calendar against company priorities - Protect focus time, sequence meetings, and manage tradeoffs - Anticipate needs through forward-looking planning Communication & Stakeholder Management - Triage inbox and Slack; elevate high-signal items - Draft, delegate, and resolve communications - Serve as a polished point of contact internally and externally Meeting Prep & Follow-Through - Ensure readiness with agendas, pre-reads, and materials - Track decisions, commitments, and follow-ups - Prepare briefs to increase meeting effectiveness Office of the CEO Operations - Partner with the Chief of Staff on weekly planning and cadence - Maintain simple systems to track priorities and actions - Support consistency in how the CEO operates Confidential Matters - Handle board, investor, and personnel materials with discretion - Manage signatures and secure documentation - Exercise strong judgment on escalation vs. resolution Travel & Logistics - Own travel planning and complex logistics - Coordinate leadership meetings and off-sites - Support personal logistics of the CEO as needed - Provide hospitality to office guests of the CEO You Have Executive Support Experience - 8+ years experience, including supporting a C-suite leader - Background in high-growth or fast-paced environments Judgment & Discretion - Trusted with sensitive information - Strong prioritization and decision instincts Operational",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:1f250ade369d7c055e198656b5fb9f0a:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.bf4f385109cedbb286",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "1f250ade369d7c055e198656b5fb9f0a",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:1f250ade369d7c055e198656b5fb9f0a:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fdf96f92c2b99318a1",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "1f250ade369d7c055e198656b5fb9f0a",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:1f250ade369d7c055e198656b5fb9f0a:employer:altana",
          "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.846543c81002073b0e",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "1f250ade369d7c055e198656b5fb9f0a",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:68e68f9429bfd637d2506dc3",
          "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.82a8e9ba9fe779be97",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "1f250ade369d7c055e198656b5fb9f0a",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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.e8395197641b91a133",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "1f250ade369d7c055e198656b5fb9f0a",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "97389a43df5b7b7f2e3a344f179056b6",
      "title": "Staff Software Engineer",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brooklyn, NY; San Francisco, CA",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 175000,
      "salary_max": 230000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 175000,
      "base_salary_max": 230000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2025-10-20T19:26:09.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7497818003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Software Engineer Brooklyn, NY; San Francisco, CA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Engineering team is responsible for building out the product for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. Shipping products that customers actually adopt, not just products that ship, takes a particular kind of engineering practice. It means starting inside the customer's workflow rather than at the ticket. It means treating every release as a hypothesis you can prove or disprove. It means reaching for AI as a primary building block, not a feature you bolt on at the end. And it means owning a product end‑to‑end, from the first conversation through the telemetry six months later. As a Staff Engineer at Altana, that's the work and you'll lead others doing it. You'll embed with product and design, get on calls with users, form hypotheses about where the real pain is, and lead a small team turning those hypotheses into shipped, adopted products. You'll measure your work in customer outcomes, not commits. You Will - Spend real time with customers. Sit alongside them in their workflows, watch where they get stuck, and translate what you learn into product",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 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": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "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": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.16d3f66be138b2ad6d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "97389a43df5b7b7f2e3a344f179056b6",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Software Engineer Brooklyn, NY; San Francisco, CA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Engineering team is responsible for building out the product for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. Shipping products that customers actually adopt, not just products that ship, takes a particular kind of engineering practice. It means starting inside the customer's workflow rather than at the ticket. It means treating every release as a hypothesis you can prove or disprove. It means reaching for AI as a primary building block, not a feature you bolt on at the end. And it means owning a product end‑to‑end, from the first conversation through the telemetry six months later. As a Staff Engineer at Altana, that's the work and you'll lead others doing it. You'll embed with product and design, get on calls with users, form hypotheses about where the real pain is, and lead a small team turning those hypotheses into shipped, adopted products. You'll measure your work in customer outcomes, not commits. You Will - Spend real time with customers. Sit alongside them in their workflows, watch where they get stuck, and translate what you learn into product",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:97389a43df5b7b7f2e3a344f179056b6:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.63489b01e2fec76fc2",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "97389a43df5b7b7f2e3a344f179056b6",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Software Engineer Brooklyn, NY; San Francisco, CA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Engineering team is responsible for building out the product for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. Shipping products that customers actually adopt, not just products that ship, takes a particular kind of engineering practice. It means starting inside the customer's workflow rather than at the ticket. It means treating every release as a hypothesis you can prove or disprove. It means reaching for AI as a primary building block, not a feature you bolt on at the end. And it means owning a product end‑to‑end, from the first conversation through the telemetry six months later. As a Staff Engineer at Altana, that's the work and you'll lead others doing it. You'll embed with product and design, get on calls with users, form hypotheses about where the real pain is, and lead a small team turning those hypotheses into shipped, adopted products. You'll measure your work in customer outcomes, not commits. You Will - Spend real time with customers. Sit alongside them in their workflows, watch where they get stuck, and translate what you learn into product",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:97389a43df5b7b7f2e3a344f179056b6:description:altana",
          "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.250ba268d37682e4b0",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "97389a43df5b7b7f2e3a344f179056b6",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:97389a43df5b7b7f2e3a344f179056b6:employer:altana",
          "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.f6f2fc530c3733dbb8",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "97389a43df5b7b7f2e3a344f179056b6",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:97389a43df5b7b7f2e3a344f179056b6:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.386bb6767349fcd261",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "97389a43df5b7b7f2e3a344f179056b6",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:bbb3c0982d56dbce5455c497",
          "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.1ed9557133264f5c30",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "97389a43df5b7b7f2e3a344f179056b6",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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.6f8c9d07c05bd78805",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "97389a43df5b7b7f2e3a344f179056b6",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "49c5ba730bfb01ab6c006139476ca7c1",
      "title": "Lead BI Engineer",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brooklyn, NY; San Francisco, CA",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 180000,
      "salary_max": 210000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 180000,
      "base_salary_max": 210000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-04-17T18:08:09.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7704154003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead BI Engineer Brooklyn, NY; San Francisco, CA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. About the Role You will be the founding BI Engineer at Altana, responsible for building the analytical infrastructure that enables data-driven decision-making across the entire company. This is not a reporting role that sits downstream of decisions already made-it is a foundational engineering role that will define how Altana understands its own business, customers, and products. You will own the full stack from data modeling and pipeline orchestration through semantic layers, dashboards, and self-service tooling. You will partner directly with engineering, product, go-to-market, and finance leadership to translate ambiguous business questions into reliable, well-modeled data products. Because you are the first hire in this function, you will also set the technical direction, tooling choices, and quality standards that future BI engineers will inherit. What You Will Do Build the BI Foundation - Design and implement a scalable analytics data warehouse (or lakehouse) layer on top of Altana's existing data infrastructure. - Define the canonical dimensional model: facts, dimensions, conformed keys, and slowly changing dimensions for core business entities (customers, transactions, subscriptions, product usage, pipeline). - Stand up and own the transformation layer (e.g., dbt) with version control, CI/CD testing, and documentation standards from day one. - Establish a semantic/metrics layer so that “revenue,” “active customer,” and “retention” mean exactly one thing company-wide. Deliver Insight",
      "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": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": true,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.621070d6713771be3a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "49c5ba730bfb01ab6c006139476ca7c1",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead BI Engineer Brooklyn, NY; San Francisco, CA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. About the Role You will be the founding BI Engineer at Altana, responsible for building the analytical infrastructure that enables data-driven decision-making across the entire company. This is not a reporting role that sits downstream of decisions already made-it is a foundational engineering role that will define how Altana understands its own business, customers, and products. You will own the full stack from data modeling and pipeline orchestration through semantic layers, dashboards, and self-service tooling. You will partner directly with engineering, product, go-to-market, and finance leadership to translate ambiguous business questions into reliable, well-modeled data products. Because you are the first hire in this function, you will also set the technical direction, tooling choices, and quality standards that future BI engineers will inherit. What You Will Do Build the BI Foundation - Design and implement a scalable analytics data warehouse (or lakehouse) layer on top of Altana's existing data infrastructure. - Define the canonical dimensional model: facts, dimensions, conformed keys, and slowly changing dimensions for core business entities (customers, transactions, subscriptions, product usage, pipeline). - Stand up and own the transformation layer (e.g., dbt) with version control, CI/CD testing, and documentation standards from day one. - Establish a semantic/metrics layer so that “revenue,” “active customer,” and “retention” mean exactly one thing company-wide. Deliver Insight",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:49c5ba730bfb01ab6c006139476ca7c1:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f74754a2b5a8d7335a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "49c5ba730bfb01ab6c006139476ca7c1",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead BI Engineer Brooklyn, NY; San Francisco, CA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. About the Role You will be the founding BI Engineer at Altana, responsible for building the analytical infrastructure that enables data-driven decision-making across the entire company. This is not a reporting role that sits downstream of decisions already made-it is a foundational engineering role that will define how Altana understands its own business, customers, and products. You will own the full stack from data modeling and pipeline orchestration through semantic layers, dashboards, and self-service tooling. You will partner directly with engineering, product, go-to-market, and finance leadership to translate ambiguous business questions into reliable, well-modeled data products. Because you are the first hire in this function, you will also set the technical direction, tooling choices, and quality standards that future BI engineers will inherit. What You Will Do Build the BI Foundation - Design and implement a scalable analytics data warehouse (or lakehouse) layer on top of Altana's existing data infrastructure. - Define the canonical dimensional model: facts, dimensions, conformed keys, and slowly changing dimensions for core business entities (customers, transactions, subscriptions, product usage, pipeline). - Stand up and own the transformation layer (e.g., dbt) with version control, CI/CD testing, and documentation standards from day one. - Establish a semantic/metrics layer so that “revenue,” “active customer,” and “retention” mean exactly one thing company-wide. Deliver Insight",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:49c5ba730bfb01ab6c006139476ca7c1:description:altana",
          "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.01a0435c605f59e12a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "49c5ba730bfb01ab6c006139476ca7c1",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:49c5ba730bfb01ab6c006139476ca7c1:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d1fa21fac6d04068b8",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "49c5ba730bfb01ab6c006139476ca7c1",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:49c5ba730bfb01ab6c006139476ca7c1:employer:altana",
          "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.4351458c77aef8b76e",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "49c5ba730bfb01ab6c006139476ca7c1",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:04b2fccf70d605fd8edfa4d0",
          "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.2538404ff3ed16d645",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "49c5ba730bfb01ab6c006139476ca7c1",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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.c68f7016947a61bff7",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "49c5ba730bfb01ab6c006139476ca7c1",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "a413296d53a88d36b694afb20fe3df62",
      "title": "Sales Engineer, Federal",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brooklyn, NY ; Washington, D.C.",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 100000,
      "salary_max": 115000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 100000,
      "base_salary_max": 115000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-05-29T15:03:19.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7753292003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sales Engineer, Federal Brooklyn, NY ; Washington, D.C. Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana As we continue to scale our government business we are seeking a dynamic Sales Engineer to join our team. As a Sales Engineer at Altana Technologies, you'll be at the forefront of our sales initiatives, playing a crucial role in translating technical jargon into practical value for our clients and partners. This role requires a perfect blend of technical acumen and interpersonal skills, as you will be tasked with presenting our innovative solutions to diverse audiences, ranging from technical contributors to executives. You'll be working closely with various teams, including Sales, Product Management, Engineering, and Marketing, ensuring our solutions align with customer needs and market trends. You'll also contribute to the continuous improvement of our products and marketing strategies as the voice of the customer. You Will - Deeply understand trade, defense, economic security, and associated subject matter, Altana's technology, and our customer base-and demonstrate effective communication with respect to each. - Support the sales process to potential customers and existing customers in the customs and trade space-identifying new use cases to address stakeholder needs before they have articulated them. - Become a power-user of the Altana platform, leveraging customer understanding, to produce and brief original, insightful analysis to help facilitate the sales cycle. - Understand and contribute to the",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 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": "sales",
      "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": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1d64cf9b687c4009e9",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "a413296d53a88d36b694afb20fe3df62",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Sales Engineer, Federal Brooklyn, NY ; Washington, D.C. Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana As we continue to scale our government business we are seeking a dynamic Sales Engineer to join our team. As a Sales Engineer at Altana Technologies, you'll be at the forefront of our sales initiatives, playing a crucial role in translating technical jargon into practical value for our clients and partners. This role requires a perfect blend of technical acumen and interpersonal skills, as you will be tasked with presenting our innovative solutions to diverse audiences, ranging from technical contributors to executives. You'll be working closely with various teams, including Sales, Product Management, Engineering, and Marketing, ensuring our solutions align with customer needs and market trends. You'll also contribute to the continuous improvement of our products and marketing strategies as the voice of the customer. You Will - Deeply understand trade, defense, economic security, and associated subject matter, Altana's technology, and our customer base-and demonstrate effective communication with respect to each. - Support the sales process to potential customers and existing customers in the customs and trade space-identifying new use cases to address stakeholder needs before they have articulated them. - Become a power-user of the Altana platform, leveraging customer understanding, to produce and brief original, insightful analysis to help facilitate the sales cycle. - Understand and contribute to the",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:a413296d53a88d36b694afb20fe3df62:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e108efc2780fd194bd",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "a413296d53a88d36b694afb20fe3df62",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Sales Engineer, Federal Brooklyn, NY ; Washington, D.C. Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana As we continue to scale our government business we are seeking a dynamic Sales Engineer to join our team. As a Sales Engineer at Altana Technologies, you'll be at the forefront of our sales initiatives, playing a crucial role in translating technical jargon into practical value for our clients and partners. This role requires a perfect blend of technical acumen and interpersonal skills, as you will be tasked with presenting our innovative solutions to diverse audiences, ranging from technical contributors to executives. You'll be working closely with various teams, including Sales, Product Management, Engineering, and Marketing, ensuring our solutions align with customer needs and market trends. You'll also contribute to the continuous improvement of our products and marketing strategies as the voice of the customer. You Will - Deeply understand trade, defense, economic security, and associated subject matter, Altana's technology, and our customer base-and demonstrate effective communication with respect to each. - Support the sales process to potential customers and existing customers in the customs and trade space-identifying new use cases to address stakeholder needs before they have articulated them. - Become a power-user of the Altana platform, leveraging customer understanding, to produce and brief original, insightful analysis to help facilitate the sales cycle. - Understand and contribute to the",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:a413296d53a88d36b694afb20fe3df62:description:altana",
          "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.07b685152a41f411f2",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "a413296d53a88d36b694afb20fe3df62",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:a413296d53a88d36b694afb20fe3df62:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a6ce786ac20053ed89",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "a413296d53a88d36b694afb20fe3df62",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:a413296d53a88d36b694afb20fe3df62:employer:altana",
          "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.73edbc8e1fa8c47582",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "a413296d53a88d36b694afb20fe3df62",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:de60cef5d9b990717a939d9e",
          "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.4d15b542fce39a2317",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "a413296d53a88d36b694afb20fe3df62",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a75f29ba5a26037723",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "a413296d53a88d36b694afb20fe3df62",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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": "e28302371f2c60a266fe8549511f633a",
      "title": "Senior Technical Account Manager, Federal (Spanish Speaking)",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brooklyn, NY ; Washington, D.C.",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 150000,
      "salary_max": 175000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 150000,
      "base_salary_max": 175000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-05-26T21:55:51.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7748958003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Technical Account Manager, Federal (Spanish Speaking) Brooklyn, NY ; Washington, D.C. Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We are seeking a Senior Technical Account Manager to lead the delivery and adoption of a large-scale software solution with the Mexican government. This role goes beyond traditional account management: you'll act as the strategic owner for driving mission impact, ensuring technical delivery, and building lasting client partnerships. The right candidate thrives at the intersection of public sector mission needs and cutting-edge software, can earn trust with senior government stakeholders, and knows how to mobilize cross-functional teams to deliver results at scale. You Will - Drive the onboarding and adoption process for new users, making sure they harness the full potential of Altana's offerings. This includes not only providing training and technical support, but also building relationships with user groups and mission leaders. - Assist customers with in-depth analysis to optimize their experience and results, providing direct analytical support to the customer where necessary to realize value. - Lead customer touchpoints and production of deliverables ensuring that customers are able to contextualize Altana's value relative to their mission. - Act as the first point of contact for support requests, quickly engaging the right resources to resolve issues. - Synthesize and communicate feedback to the Product team. - Coordinate with our implementation engineering team to ensure successful",
      "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": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "sales",
      "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": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2baa6a68ca0f2143dc",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e28302371f2c60a266fe8549511f633a",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Technical Account Manager, Federal (Spanish Speaking) Brooklyn, NY ; Washington, D.C. Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We are seeking a Senior Technical Account Manager to lead the delivery and adoption of a large-scale software solution with the Mexican government. This role goes beyond traditional account management: you'll act as the strategic owner for driving mission impact, ensuring technical delivery, and building lasting client partnerships. The right candidate thrives at the intersection of public sector mission needs and cutting-edge software, can earn trust with senior government stakeholders, and knows how to mobilize cross-functional teams to deliver results at scale. You Will - Drive the onboarding and adoption process for new users, making sure they harness the full potential of Altana's offerings. This includes not only providing training and technical support, but also building relationships with user groups and mission leaders. - Assist customers with in-depth analysis to optimize their experience and results, providing direct analytical support to the customer where necessary to realize value. - Lead customer touchpoints and production of deliverables ensuring that customers are able to contextualize Altana's value relative to their mission. - Act as the first point of contact for support requests, quickly engaging the right resources to resolve issues. - Synthesize and communicate feedback to the Product team. - Coordinate with our implementation engineering team to ensure successful",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e28302371f2c60a266fe8549511f633a:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7e8f9725f4aa8649b3",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e28302371f2c60a266fe8549511f633a",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Technical Account Manager, Federal (Spanish Speaking) Brooklyn, NY ; Washington, D.C. Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We are seeking a Senior Technical Account Manager to lead the delivery and adoption of a large-scale software solution with the Mexican government. This role goes beyond traditional account management: you'll act as the strategic owner for driving mission impact, ensuring technical delivery, and building lasting client partnerships. The right candidate thrives at the intersection of public sector mission needs and cutting-edge software, can earn trust with senior government stakeholders, and knows how to mobilize cross-functional teams to deliver results at scale. You Will - Drive the onboarding and adoption process for new users, making sure they harness the full potential of Altana's offerings. This includes not only providing training and technical support, but also building relationships with user groups and mission leaders. - Assist customers with in-depth analysis to optimize their experience and results, providing direct analytical support to the customer where necessary to realize value. - Lead customer touchpoints and production of deliverables ensuring that customers are able to contextualize Altana's value relative to their mission. - Act as the first point of contact for support requests, quickly engaging the right resources to resolve issues. - Synthesize and communicate feedback to the Product team. - Coordinate with our implementation engineering team to ensure successful",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e28302371f2c60a266fe8549511f633a:description:altana",
          "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.53c7842776e33a29bc",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e28302371f2c60a266fe8549511f633a",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e28302371f2c60a266fe8549511f633a:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7e468f65fc3983a033",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e28302371f2c60a266fe8549511f633a",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e28302371f2c60a266fe8549511f633a:employer:altana",
          "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.076d4e8c10a8946c2a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e28302371f2c60a266fe8549511f633a",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:e5ffc396e2782019ff6ba366",
          "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.0d8296e2e5d75568ed",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e28302371f2c60a266fe8549511f633a",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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.85be2fa0808f245718",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e28302371f2c60a266fe8549511f633a",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "094abaf2929b38f9e24a0996410370cc",
      "title": "Senior Staff Software Engineer",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brooklyn, NY; Washington, D.C.; Boston, MA; San Francisco, CA",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 225000,
      "salary_max": 265000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 225000,
      "base_salary_max": 265000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-02-23T13:46:34.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7640355003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Staff Software Engineer Brooklyn, NY; Washington, D.C.; Boston, MA; San Francisco, CA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Engineering team is responsible for building out the platforms, API's, services, workflows, and logical architectures for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. You'll work closely with our Data Scientists on projects to analyze and observe world-scale datasets, write code that can scale to produce never-before-seen insights, and construct APIs to deliver our product vision. Your Responsibilities - Ingest product requirements, define technical requirements, and design practical, iterative technology designs that achieve our product and technical goals. - Work with your product manager to develop implementation plans against our technical product roadmaps. - Personally maintain, develop, and deploy our customer facing workflows to create and support our overall product architecture. - Analyze and propose technical solutions to invent, enable, and enhance our product offerings. - Be responsible for automating, testing, and deploying your own and your team's work. - Review the code and technical designs authored by your team members, and hold a high bar for quality. - Mentor developers and help them level up their skills. - Be responsible for the",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 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": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "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": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1e2ff650e393aa63a7",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "094abaf2929b38f9e24a0996410370cc",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Staff Software Engineer Brooklyn, NY; Washington, D.C.; Boston, MA; San Francisco, CA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Engineering team is responsible for building out the platforms, API's, services, workflows, and logical architectures for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. You'll work closely with our Data Scientists on projects to analyze and observe world-scale datasets, write code that can scale to produce never-before-seen insights, and construct APIs to deliver our product vision. Your Responsibilities - Ingest product requirements, define technical requirements, and design practical, iterative technology designs that achieve our product and technical goals. - Work with your product manager to develop implementation plans against our technical product roadmaps. - Personally maintain, develop, and deploy our customer facing workflows to create and support our overall product architecture. - Analyze and propose technical solutions to invent, enable, and enhance our product offerings. - Be responsible for automating, testing, and deploying your own and your team's work. - Review the code and technical designs authored by your team members, and hold a high bar for quality. - Mentor developers and help them level up their skills. - Be responsible for the",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:094abaf2929b38f9e24a0996410370cc:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7f8b53cef9a4aa90df",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "094abaf2929b38f9e24a0996410370cc",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Staff Software Engineer Brooklyn, NY; Washington, D.C.; Boston, MA; San Francisco, CA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Engineering team is responsible for building out the platforms, API's, services, workflows, and logical architectures for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. You'll work closely with our Data Scientists on projects to analyze and observe world-scale datasets, write code that can scale to produce never-before-seen insights, and construct APIs to deliver our product vision. Your Responsibilities - Ingest product requirements, define technical requirements, and design practical, iterative technology designs that achieve our product and technical goals. - Work with your product manager to develop implementation plans against our technical product roadmaps. - Personally maintain, develop, and deploy our customer facing workflows to create and support our overall product architecture. - Analyze and propose technical solutions to invent, enable, and enhance our product offerings. - Be responsible for automating, testing, and deploying your own and your team's work. - Review the code and technical designs authored by your team members, and hold a high bar for quality. - Mentor developers and help them level up their skills. - Be responsible for the",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:094abaf2929b38f9e24a0996410370cc:description:altana",
          "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.e12210a61595980e1b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "094abaf2929b38f9e24a0996410370cc",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:094abaf2929b38f9e24a0996410370cc:employer:altana",
          "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.e48d2a6f32b66747dc",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "094abaf2929b38f9e24a0996410370cc",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:094abaf2929b38f9e24a0996410370cc:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.9833813f8b1d489489",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "094abaf2929b38f9e24a0996410370cc",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:6e22244409bf3f4ad7222b0d",
          "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.967a0f5ce08fceacfb",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "094abaf2929b38f9e24a0996410370cc",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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.bce7fc2651c5fc24d5",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "094abaf2929b38f9e24a0996410370cc",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "b9f99b66db8145140fa75e84b4036741",
      "title": "Regional Director, Enterprise Sales",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brooklyn, NY ; Washington, DC ; Boston, MA",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 200000,
      "salary_max": 225000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 200000,
      "base_salary_max": 225000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-05-29T20:55:34.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7753801003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Regional Director, Enterprise Sales Brooklyn, NY ; Washington, DC ; Boston, MA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana In an era of geopolitical tension and regulatory complexity, global trade requires a new architecture built on trusted networks. Altana's AI-powered network connects the world's largest logistics providers, businesses, and their suppliers with government agencies like U.S. Customs and Border Protection - all around a shared source of product information. Businesses connect to Altana to automate trade compliance, navigate tariff complexity, and build supply chain resilience. Government agencies connect to Altana to design and enforce trade and economic security policies. This role is an opportunity for an accomplished sales leader who understands the supply chain ecosystem-someone who can coach, develop, and inspire a team of sellers while also engaging directly with senior executives at multinational enterprises to solve complex global trade and supply chain challenges through SaaS technology. The ideal candidate will bring a blend of leadership experience, hands-on enterprise sales expertise, and a strong understanding of SaaS selling motions in the supply chain, logistics, or manufacturing sectors. You will manage 5-8 Enterprise Account Executives, helping them build pipeline, advance complex deals, and consistently achieve ambitious revenue goals. You Will - Lead, coach, and develop a team of Enterprise Account Executives to consistently exceed quota and deliver measurable business impact - Serve as a strategic sales",
      "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": "staff_plus",
      "years_experience_min": 10,
      "years_experience_max": null,
      "role_function": "sales",
      "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": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7b48e5c5d07de1dac1",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "b9f99b66db8145140fa75e84b4036741",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Regional Director, Enterprise Sales Brooklyn, NY ; Washington, DC ; Boston, MA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana In an era of geopolitical tension and regulatory complexity, global trade requires a new architecture built on trusted networks. Altana's AI-powered network connects the world's largest logistics providers, businesses, and their suppliers with government agencies like U.S. Customs and Border Protection - all around a shared source of product information. Businesses connect to Altana to automate trade compliance, navigate tariff complexity, and build supply chain resilience. Government agencies connect to Altana to design and enforce trade and economic security policies. This role is an opportunity for an accomplished sales leader who understands the supply chain ecosystem-someone who can coach, develop, and inspire a team of sellers while also engaging directly with senior executives at multinational enterprises to solve complex global trade and supply chain challenges through SaaS technology. The ideal candidate will bring a blend of leadership experience, hands-on enterprise sales expertise, and a strong understanding of SaaS selling motions in the supply chain, logistics, or manufacturing sectors. You will manage 5-8 Enterprise Account Executives, helping them build pipeline, advance complex deals, and consistently achieve ambitious revenue goals. You Will - Lead, coach, and develop a team of Enterprise Account Executives to consistently exceed quota and deliver measurable business impact - Serve as a strategic sales",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:b9f99b66db8145140fa75e84b4036741:description:altana",
          "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.eebb8be00a7f8641c9",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "b9f99b66db8145140fa75e84b4036741",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Regional Director, Enterprise Sales Brooklyn, NY ; Washington, DC ; Boston, MA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana In an era of geopolitical tension and regulatory complexity, global trade requires a new architecture built on trusted networks. Altana's AI-powered network connects the world's largest logistics providers, businesses, and their suppliers with government agencies like U.S. Customs and Border Protection - all around a shared source of product information. Businesses connect to Altana to automate trade compliance, navigate tariff complexity, and build supply chain resilience. Government agencies connect to Altana to design and enforce trade and economic security policies. This role is an opportunity for an accomplished sales leader who understands the supply chain ecosystem-someone who can coach, develop, and inspire a team of sellers while also engaging directly with senior executives at multinational enterprises to solve complex global trade and supply chain challenges through SaaS technology. The ideal candidate will bring a blend of leadership experience, hands-on enterprise sales expertise, and a strong understanding of SaaS selling motions in the supply chain, logistics, or manufacturing sectors. You will manage 5-8 Enterprise Account Executives, helping them build pipeline, advance complex deals, and consistently achieve ambitious revenue goals. You Will - Lead, coach, and develop a team of Enterprise Account Executives to consistently exceed quota and deliver measurable business impact - Serve as a strategic sales",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:b9f99b66db8145140fa75e84b4036741:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.bad0db2e0a88f76428",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "b9f99b66db8145140fa75e84b4036741",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:b9f99b66db8145140fa75e84b4036741:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.dc3169ef76dc2ae8c3",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "b9f99b66db8145140fa75e84b4036741",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:b9f99b66db8145140fa75e84b4036741:employer:altana",
          "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.f33281169370d6e97b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "b9f99b66db8145140fa75e84b4036741",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:b1667c06103d7cfd7fc33204",
          "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.43f5335e77fc87427c",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "b9f99b66db8145140fa75e84b4036741",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.518df98ec2c64544a4",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "b9f99b66db8145140fa75e84b4036741",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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": "d19cfae37c0f9a3cb5fb87dd7b641095",
      "title": "Staff Implementation Engineer, Federal (Spanish Speaking)",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brooklyn, NY; Washington, DC",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 195000,
      "salary_max": 230000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 195000,
      "base_salary_max": 230000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-05-29T20:26:11.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7753954003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Implementation Engineer, Federal (Spanish Speaking) Brooklyn, NY; Washington, DC Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is focused on integrating Altana's products with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create and customize data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy. The Implementation team works closely with customers, as well as our internal engineering, machine learning, and product organizations. Specifically, the team is focused on: - Develop, deploy and continuously improve distributed, big-data pipelines powering Altana's state of the art network analysis, ML, data ingestion and fusion capabilities - Understanding and driving forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base - Serve as the technical expert in client-facing meetings, bridging the gap between complex government requirements and our platform's technical architecture. - Work in a cross-functional team of engineers, data scientists, and product managers - Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment About You You are a seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands-on engineering skills with the ability to set technical direction, influence across teams, and elevate those around",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": 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.0fd835a85371e90688",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d19cfae37c0f9a3cb5fb87dd7b641095",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Implementation Engineer, Federal (Spanish Speaking) Brooklyn, NY; Washington, DC Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is focused on integrating Altana's products with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create and customize data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy. The Implementation team works closely with customers, as well as our internal engineering, machine learning, and product organizations. Specifically, the team is focused on: - Develop, deploy and continuously improve distributed, big-data pipelines powering Altana's state of the art network analysis, ML, data ingestion and fusion capabilities - Understanding and driving forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base - Serve as the technical expert in client-facing meetings, bridging the gap between complex government requirements and our platform's technical architecture. - Work in a cross-functional team of engineers, data scientists, and product managers - Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment About You You are a seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands-on engineering skills with the ability to set technical direction, influence across teams, and elevate those around",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d19cfae37c0f9a3cb5fb87dd7b641095:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1b88a7c2821f1b2417",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d19cfae37c0f9a3cb5fb87dd7b641095",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Implementation Engineer, Federal (Spanish Speaking) Brooklyn, NY; Washington, DC Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is focused on integrating Altana's products with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create and customize data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy. The Implementation team works closely with customers, as well as our internal engineering, machine learning, and product organizations. Specifically, the team is focused on: - Develop, deploy and continuously improve distributed, big-data pipelines powering Altana's state of the art network analysis, ML, data ingestion and fusion capabilities - Understanding and driving forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base - Serve as the technical expert in client-facing meetings, bridging the gap between complex government requirements and our platform's technical architecture. - Work in a cross-functional team of engineers, data scientists, and product managers - Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment About You You are a seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands-on engineering skills with the ability to set technical direction, influence across teams, and elevate those around",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d19cfae37c0f9a3cb5fb87dd7b641095:description:altana",
          "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.17c83a5a6e3f3b32ed",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d19cfae37c0f9a3cb5fb87dd7b641095",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d19cfae37c0f9a3cb5fb87dd7b641095:employer:altana",
          "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.9a1a50802b290787ee",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d19cfae37c0f9a3cb5fb87dd7b641095",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d19cfae37c0f9a3cb5fb87dd7b641095:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.1123ad7c12b74f25b4",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d19cfae37c0f9a3cb5fb87dd7b641095",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:e93ea832197496a014d8af89",
          "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.093c67580988e9f61f",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d19cfae37c0f9a3cb5fb87dd7b641095",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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.17c3af0cc2be9364c3",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d19cfae37c0f9a3cb5fb87dd7b641095",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "01fc0bd4c4073b5abd85b312b84cd044",
      "title": "Product Expert, PLM and ERP",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brooklyn, NY; Washington, DC",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 200000,
      "salary_max": 255000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 200000,
      "base_salary_max": 255000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-04-28T21:11:39.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7719015003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Product Expert, PLM and ERP Brooklyn, NY; Washington, DC Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Role: Product Expert PLM and ERP Altana's mission is to fix globalization. At the heart of that mission is a problem most enterprises know intimately but haven't been able to solve: the systems that define, source, build, and ship products don't talk to each other - and the cracks between them are where compliance breaks down, duties are miscalculated, and supply chain risk hides in plain sight. PLM systems know what a product is designed to be. ERP systems know what was ordered and built . Trade and logistics systems know what was shipped and declared . In theory, these should tell a coherent story. In practice, the products these systems model diverge, lack granularity or were stylized in a way that makes the changing face of globalization break down. The as-designed BOM, the as-sourced BOM, and the as-built BOM diverge - silently, constantly - and nobody finds out until a shipment is held, an audit is triggered, or a forced labor allegation surfaces three tiers deep in a supply chain no one has fully mapped. It doesn't have to be this way. Altana's Product Passports represent a fundamentally different model: a structured, continuously maintained product identity that spans the full lifecycle - from design intent through physical production and across international",
      "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": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.4a97efb85094f64b43",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "01fc0bd4c4073b5abd85b312b84cd044",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Product Expert, PLM and ERP Brooklyn, NY; Washington, DC Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Role: Product Expert PLM and ERP Altana's mission is to fix globalization. At the heart of that mission is a problem most enterprises know intimately but haven't been able to solve: the systems that define, source, build, and ship products don't talk to each other - and the cracks between them are where compliance breaks down, duties are miscalculated, and supply chain risk hides in plain sight. PLM systems know what a product is designed to be. ERP systems know what was ordered and built . Trade and logistics systems know what was shipped and declared . In theory, these should tell a coherent story. In practice, the products these systems model diverge, lack granularity or were stylized in a way that makes the changing face of globalization break down. The as-designed BOM, the as-sourced BOM, and the as-built BOM diverge - silently, constantly - and nobody finds out until a shipment is held, an audit is triggered, or a forced labor allegation surfaces three tiers deep in a supply chain no one has fully mapped. It doesn't have to be this way. Altana's Product Passports represent a fundamentally different model: a structured, continuously maintained product identity that spans the full lifecycle - from design intent through physical production and across international",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:01fc0bd4c4073b5abd85b312b84cd044:description:altana",
          "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.f2ace48d94f30a57a5",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "01fc0bd4c4073b5abd85b312b84cd044",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Product Expert, PLM and ERP Brooklyn, NY; Washington, DC Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Role: Product Expert PLM and ERP Altana's mission is to fix globalization. At the heart of that mission is a problem most enterprises know intimately but haven't been able to solve: the systems that define, source, build, and ship products don't talk to each other - and the cracks between them are where compliance breaks down, duties are miscalculated, and supply chain risk hides in plain sight. PLM systems know what a product is designed to be. ERP systems know what was ordered and built . Trade and logistics systems know what was shipped and declared . In theory, these should tell a coherent story. In practice, the products these systems model diverge, lack granularity or were stylized in a way that makes the changing face of globalization break down. The as-designed BOM, the as-sourced BOM, and the as-built BOM diverge - silently, constantly - and nobody finds out until a shipment is held, an audit is triggered, or a forced labor allegation surfaces three tiers deep in a supply chain no one has fully mapped. It doesn't have to be this way. Altana's Product Passports represent a fundamentally different model: a structured, continuously maintained product identity that spans the full lifecycle - from design intent through physical production and across international",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:01fc0bd4c4073b5abd85b312b84cd044:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.4281e67be5d6eec340",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "01fc0bd4c4073b5abd85b312b84cd044",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:01fc0bd4c4073b5abd85b312b84cd044:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5596128d9a7727f5e5",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "01fc0bd4c4073b5abd85b312b84cd044",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:01fc0bd4c4073b5abd85b312b84cd044:employer:altana",
          "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.6f1a1a41ae0d6d481a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "01fc0bd4c4073b5abd85b312b84cd044",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:9c44ff62db7da833c192749b",
          "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.4a02332100690c6d08",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "01fc0bd4c4073b5abd85b312b84cd044",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.74f8dbd533835e53ce",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "01fc0bd4c4073b5abd85b312b84cd044",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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": "292023a33f199972dc1b2ccc552daa29",
      "title": "Director of Product Management (Public Sector)",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brooklyn, NY; San Francisco, CA; Washington, DC; Boston, MA",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 230000,
      "salary_max": 270000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 230000,
      "base_salary_max": 270000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-02-28T13:48:49.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7648048003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Director of Product Management (Public Sector) Brooklyn, NY; San Francisco, CA; Washington, DC; Boston, MA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. About Altana Altana is the network for trusted trade, empowering a new era of global commerce by uniting businesses and governments on an AI-powered platform to build a more resilient and secure global supply chain. Enterprises like Boston Scientific, General Atomics, and L.L.Bean use Altana to map and manage their multi-tier value chains. Logistics leaders like UPS and Maersk use Altana to help customers reduce risk and prevent delays. And governments across the U.S. and its allies use Altana to prevent supply chain disruptions and protect national security. We are a team of ambitious, mission-driven engineers, data scientists, and domain experts. If you are passionate about solving complex, real-world problems with global impact, we want you to join us. The Role: Director of Product Management (Public Sector) As a Director of Product Management for Public Sector, you will lead the team defining strategy/product vision through feature definition and roadmap prioritization. You and your team will work closely with marketing and finance teams for positioning, naming, GTM/adoption, and financial metrics. We are looking for an experienced product leader who is passionate about deeply understanding ambiguous customer problems, with demonstrated success working with engineering to deliver solutions, and translating them into disruptive, successful products that delight customers. As a",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 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": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": null,
      "role_function": "product",
      "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": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.43103eaf25118744e3",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "292023a33f199972dc1b2ccc552daa29",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Director of Product Management (Public Sector) Brooklyn, NY; San Francisco, CA; Washington, DC; Boston, MA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. About Altana Altana is the network for trusted trade, empowering a new era of global commerce by uniting businesses and governments on an AI-powered platform to build a more resilient and secure global supply chain. Enterprises like Boston Scientific, General Atomics, and L.L.Bean use Altana to map and manage their multi-tier value chains. Logistics leaders like UPS and Maersk use Altana to help customers reduce risk and prevent delays. And governments across the U.S. and its allies use Altana to prevent supply chain disruptions and protect national security. We are a team of ambitious, mission-driven engineers, data scientists, and domain experts. If you are passionate about solving complex, real-world problems with global impact, we want you to join us. The Role: Director of Product Management (Public Sector) As a Director of Product Management for Public Sector, you will lead the team defining strategy/product vision through feature definition and roadmap prioritization. You and your team will work closely with marketing and finance teams for positioning, naming, GTM/adoption, and financial metrics. We are looking for an experienced product leader who is passionate about deeply understanding ambiguous customer problems, with demonstrated success working with engineering to deliver solutions, and translating them into disruptive, successful products that delight customers. As a",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:292023a33f199972dc1b2ccc552daa29:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ea7bc85b19297358d0",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "292023a33f199972dc1b2ccc552daa29",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Director of Product Management (Public Sector) Brooklyn, NY; San Francisco, CA; Washington, DC; Boston, MA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. About Altana Altana is the network for trusted trade, empowering a new era of global commerce by uniting businesses and governments on an AI-powered platform to build a more resilient and secure global supply chain. Enterprises like Boston Scientific, General Atomics, and L.L.Bean use Altana to map and manage their multi-tier value chains. Logistics leaders like UPS and Maersk use Altana to help customers reduce risk and prevent delays. And governments across the U.S. and its allies use Altana to prevent supply chain disruptions and protect national security. We are a team of ambitious, mission-driven engineers, data scientists, and domain experts. If you are passionate about solving complex, real-world problems with global impact, we want you to join us. The Role: Director of Product Management (Public Sector) As a Director of Product Management for Public Sector, you will lead the team defining strategy/product vision through feature definition and roadmap prioritization. You and your team will work closely with marketing and finance teams for positioning, naming, GTM/adoption, and financial metrics. We are looking for an experienced product leader who is passionate about deeply understanding ambiguous customer problems, with demonstrated success working with engineering to deliver solutions, and translating them into disruptive, successful products that delight customers. As a",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:292023a33f199972dc1b2ccc552daa29:description:altana",
          "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.02cf58f172dbcfcc69",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "292023a33f199972dc1b2ccc552daa29",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:292023a33f199972dc1b2ccc552daa29:employer:altana",
          "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.154b008e9c0b357445",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "292023a33f199972dc1b2ccc552daa29",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:292023a33f199972dc1b2ccc552daa29:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.327f97b6f19e08ad52",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "292023a33f199972dc1b2ccc552daa29",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:995a1816bb78327f291f8fb3",
          "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.13afae5a59b125ef95",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "292023a33f199972dc1b2ccc552daa29",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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.6c88a773c749171fa8",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "292023a33f199972dc1b2ccc552daa29",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "3080426467be4bc0fea4d70c69a04ccb",
      "title": "Principal Product Manager, Supply Chain Intelligence",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brooklyn, NY; Washington, DC",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 200000,
      "salary_max": 255000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 200000,
      "base_salary_max": 255000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-04-16T21:15:18.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7703324003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal Product Manager, Supply Chain Intelligence Brooklyn, NY; Washington, DC Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Role: Principal Product Manager Supply Chain Intelligence When a new tariff hits, a regulation changes, or a geopolitical crisis reshapes supply chains, companies scramble to understand their exposure and what to do next. Supply chains are vast, opaque, and shaped by complex regulations. The data needed to act is scattered across systems and buried in value chains that span dozens of countries and hundreds of suppliers. Altana maps these supply chains into a global network, giving companies multi-tier visibility they've never had before. You will own turning that visibility into prioritized action for importers, logistics service providers, and compliance teams. Help users answer questions like: - What's the impact of a new tariff on my business? - How do I ensure my supply chain is free from forced labor? - Where am I concentrated on a single supplier or region, and what's my contingency? This is the product that makes Altana's network intelligence indispensable. You'll define how customers explore and act on supply chain data across use cases: forced labor, critical minerals, foreign ownership, tariff exposure, and more. You'll design AI-native workflows, build generalizable analytical patterns, and create a bridge between insight and action. The role spans product strategy, complex data modeling, and modern AI. What You'll Do Partner Deeply with",
      "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": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "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": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.07cbd98fd20237a79d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3080426467be4bc0fea4d70c69a04ccb",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Principal Product Manager, Supply Chain Intelligence Brooklyn, NY; Washington, DC Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Role: Principal Product Manager Supply Chain Intelligence When a new tariff hits, a regulation changes, or a geopolitical crisis reshapes supply chains, companies scramble to understand their exposure and what to do next. Supply chains are vast, opaque, and shaped by complex regulations. The data needed to act is scattered across systems and buried in value chains that span dozens of countries and hundreds of suppliers. Altana maps these supply chains into a global network, giving companies multi-tier visibility they've never had before. You will own turning that visibility into prioritized action for importers, logistics service providers, and compliance teams. Help users answer questions like: - What's the impact of a new tariff on my business? - How do I ensure my supply chain is free from forced labor? - Where am I concentrated on a single supplier or region, and what's my contingency? This is the product that makes Altana's network intelligence indispensable. You'll define how customers explore and act on supply chain data across use cases: forced labor, critical minerals, foreign ownership, tariff exposure, and more. You'll design AI-native workflows, build generalizable analytical patterns, and create a bridge between insight and action. The role spans product strategy, complex data modeling, and modern AI. What You'll Do Partner Deeply with",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:3080426467be4bc0fea4d70c69a04ccb:description:altana",
          "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.408122ec56516bc3a2",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3080426467be4bc0fea4d70c69a04ccb",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Principal Product Manager, Supply Chain Intelligence Brooklyn, NY; Washington, DC Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Role: Principal Product Manager Supply Chain Intelligence When a new tariff hits, a regulation changes, or a geopolitical crisis reshapes supply chains, companies scramble to understand their exposure and what to do next. Supply chains are vast, opaque, and shaped by complex regulations. The data needed to act is scattered across systems and buried in value chains that span dozens of countries and hundreds of suppliers. Altana maps these supply chains into a global network, giving companies multi-tier visibility they've never had before. You will own turning that visibility into prioritized action for importers, logistics service providers, and compliance teams. Help users answer questions like: - What's the impact of a new tariff on my business? - How do I ensure my supply chain is free from forced labor? - Where am I concentrated on a single supplier or region, and what's my contingency? This is the product that makes Altana's network intelligence indispensable. You'll define how customers explore and act on supply chain data across use cases: forced labor, critical minerals, foreign ownership, tariff exposure, and more. You'll design AI-native workflows, build generalizable analytical patterns, and create a bridge between insight and action. The role spans product strategy, complex data modeling, and modern AI. What You'll Do Partner Deeply with",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:3080426467be4bc0fea4d70c69a04ccb:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e73ccfa939dcce8939",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3080426467be4bc0fea4d70c69a04ccb",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:3080426467be4bc0fea4d70c69a04ccb:employer:altana",
          "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.ea904638bed9d93ba6",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3080426467be4bc0fea4d70c69a04ccb",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:3080426467be4bc0fea4d70c69a04ccb:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.39ae9713f35606b825",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3080426467be4bc0fea4d70c69a04ccb",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Principal Product Manager, Supply Chain Intelligence",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:3080426467be4bc0fea4d70c69a04ccb:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.7d050d7233e7e97e00",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3080426467be4bc0fea4d70c69a04ccb",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:3bfc589d86bccb8a9c53531c",
          "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.3cffcde3fcc0e6803f",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3080426467be4bc0fea4d70c69a04ccb",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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.cdeaae05d90a3b2769",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3080426467be4bc0fea4d70c69a04ccb",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Principal Product Manager, Supply Chain Intelligence",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "6d5100f60d954ce9c01ed640ff651b77",
      "title": "Product Director, Customer Experience & Product Analytics",
      "employer_name": "Altana AI",
      "employer_slug": "altana-ai",
      "location_text": "Brooklyn, NY; San Francisco, CA; Washington, DC; Boston, MA",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 230000,
      "salary_max": 270000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 230000,
      "base_salary_max": 270000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-06-05T18:27:16.000Z",
      "apply_url": "https://job-boards.greenhouse.io/altanaai/jobs/7748625003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Product Director, Customer Experience & Product Analytics Brooklyn, NY; San Francisco, CA; Washington, DC; Boston, MA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity Great products are only great if customers know how to unlock them, feel supported when they get stuck, and trust that their feedback shapes what gets built next. At Altana, we're building a platform with no real precedent - one that reimagines how enterprises, logistics providers, and government regulators work together to manage global trade in an AI-powered collaboration network. That means the customer experience isn't a support function. It's a competitive advantage. As a Director of Customer Experience and Product Analytics, you'll own how customers experience Altana, from onboarding to deep adoption, across a customer base that spans the F500, small international suppliers, government entities, and logistics providers. Success means building the systems that capture customers feedback continuously and get it in the hands of teams shaping the roadmap; designing onboarding experiences that make customers productive without the hand holding of Client Services; making documentation a scalable natively-integrated assets that AI agents and customers can use; and designing product telemetry systems to identify where customers get stuck and turn those signals into specific product recommendations. This role sits at the intersection of product, customer success, and engineering - and you will be the connective tissue between all three. What You'll Do Own the",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 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": "staff_plus",
      "years_experience_min": 7,
      "years_experience_max": null,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": 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.27463048ac360fc1a9",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "6d5100f60d954ce9c01ed640ff651b77",
          "signal_type": "query_match",
          "display_text": "Description: \"altana\"",
          "tooltip": "Description matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Product Director, Customer Experience & Product Analytics Brooklyn, NY; San Francisco, CA; Washington, DC; Boston, MA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity Great products are only great if customers know how to unlock them, feel supported when they get stuck, and trust that their feedback shapes what gets built next. At Altana, we're building a platform with no real precedent - one that reimagines how enterprises, logistics providers, and government regulators work together to manage global trade in an AI-powered collaboration network. That means the customer experience isn't a support function. It's a competitive advantage. As a Director of Customer Experience and Product Analytics, you'll own how customers experience Altana, from onboarding to deep adoption, across a customer base that spans the F500, small international suppliers, government entities, and logistics providers. Success means building the systems that capture customers feedback continuously and get it in the hands of teams shaping the roadmap; designing onboarding experiences that make customers productive without the hand holding of Client Services; making documentation a scalable natively-integrated assets that AI agents and customers can use; and designing product telemetry systems to identify where customers get stuck and turn those signals into specific product recommendations. This role sits at the intersection of product, customer success, and engineering - and you will be the connective tissue between all three. What You'll Do Own the",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:6d5100f60d954ce9c01ed640ff651b77:description:altana",
          "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.8da27fe23982471475",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "6d5100f60d954ce9c01ed640ff651b77",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Product Director, Customer Experience & Product Analytics Brooklyn, NY; San Francisco, CA; Washington, DC; Boston, MA Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity Great products are only great if customers know how to unlock them, feel supported when they get stuck, and trust that their feedback shapes what gets built next. At Altana, we're building a platform with no real precedent - one that reimagines how enterprises, logistics providers, and government regulators work together to manage global trade in an AI-powered collaboration network. That means the customer experience isn't a support function. It's a competitive advantage. As a Director of Customer Experience and Product Analytics, you'll own how customers experience Altana, from onboarding to deep adoption, across a customer base that spans the F500, small international suppliers, government entities, and logistics providers. Success means building the systems that capture customers feedback continuously and get it in the hands of teams shaping the roadmap; designing onboarding experiences that make customers productive without the hand holding of Client Services; making documentation a scalable natively-integrated assets that AI agents and customers can use; and designing product telemetry systems to identify where customers get stuck and turn those signals into specific product recommendations. This role sits at the intersection of product, customer success, and engineering - and you will be the connective tissue between all three. What You'll Do Own the",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:6d5100f60d954ce9c01ed640ff651b77:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.63912b79bc3cbc2af4",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "6d5100f60d954ce9c01ed640ff651b77",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer matched \"altana\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:6d5100f60d954ce9c01ed640ff651b77:employer:altana",
          "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.8bfe7725fb5b2f6547",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "6d5100f60d954ce9c01ed640ff651b77",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:6d5100f60d954ce9c01ed640ff651b77:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.4bf5d09a0141dad81f",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "6d5100f60d954ce9c01ed640ff651b77",
          "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": "Altana AI",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:e1c0af52820a73d04501676e",
          "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.606dbb5afee950b856",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "6d5100f60d954ce9c01ed640ff651b77",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8786ba5aac08b2f273",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "6d5100f60d954ce9c01ed640ff651b77",
          "signal_type": "query_match",
          "display_text": "Employer: \"altana\"",
          "tooltip": "Employer contains \"altana\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Altana AI",
          "matched_input": "altana",
          "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": "5865631195cba20e8956b152d5abf321",
      "title": "AI Integrator / AI Engineer",
      "employer_name": "TD Synnex",
      "employer_slug": "td-synnex",
      "location_text": "Prague, Praha, Czechia",
      "country": "CZ",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": 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": "2026-03-16T00:00:00.000Z",
      "apply_url": "https://synnex.wd5.myworkdayjobs.com/tdsynnexcareers/job/Prague-Czech-Republic/AI-Integrator---AI-Engineer-_R48532-1/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Integrator / AI Engineer Prague, Praha, Czechia Join our team as an AI Engineer to design and implement cutting-edge AI solutions that drive business transformation. Collaborate with cross-functional teams to deliver scalable, secure applications and accelerate enterprise AI adoption. If you're passionate about AI and ready to make an impact, we want to hear from you!",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "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.247b914acc914a31fa",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "5865631195cba20e8956b152d5abf321",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Integrator / AI Engineer Prague, Praha, Czechia Join our team as an AI Engineer to design and implement cutting-edge AI solutions that drive business transformation. Collaborate with cross-functional teams to deliver scalable, secure applications and accelerate enterprise AI adoption. If you're passionate about AI and ready to make an impact, we want to hear from you!",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:5865631195cba20e8956b152d5abf321:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.45136c125b59195793",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "5865631195cba20e8956b152d5abf321",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Integrator / AI Engineer",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:5865631195cba20e8956b152d5abf321:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.a7d5d48b34c8630531",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "5865631195cba20e8956b152d5abf321",
          "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": "AI Integrator / AI Engineer",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:996c9104156927241d7b7456",
          "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.05d20959bf3516d0ff",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "5865631195cba20e8956b152d5abf321",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Integrator / AI Engineer",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "f53f345c51a78838bb6c7cf6ef459896",
      "title": "Lead AI & Agentic AI Architect (AI Squad Leader)",
      "employer_name": "Kyndryl",
      "employer_slug": "kyndryl",
      "location_text": "Valbonne (KFR51693)",
      "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": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://kyndryl.wd5.myworkdayjobs.com/KyndrylProfessionalCareers/job/Valbonne-KFR51693/Lead-AI---Agentic-AI-Architect--AI-Squad-Leader----Evergreen_R-52926",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead AI & Agentic AI Architect (AI Squad Leader) Valbonne (KFR51693) 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": "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.aea86d40c620ed1e35",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f53f345c51a78838bb6c7cf6ef459896",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead AI & Agentic AI Architect (AI Squad Leader) Valbonne (KFR51693) posted: Posted 30+ Days Ago",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:f53f345c51a78838bb6c7cf6ef459896:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.8b3646d972820a87ed",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f53f345c51a78838bb6c7cf6ef459896",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Lead AI & Agentic AI Architect (AI Squad Leader)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:f53f345c51a78838bb6c7cf6ef459896:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.d7be7d3f38c599d6f9",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f53f345c51a78838bb6c7cf6ef459896",
          "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": "Lead AI & Agentic AI Architect (AI Squad Leader)",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:4f2483ced32b784eca8a74f9",
          "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.858aabc08f2c003ecb",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f53f345c51a78838bb6c7cf6ef459896",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Lead AI & Agentic AI Architect (AI Squad Leader)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "419708e22560d0ef530b9b7c71d4834a",
      "title": "Sr. AI Product Owner - Enterprise AI Platforms",
      "employer_name": "Lincoln Financial",
      "employer_slug": "lincoln-financial",
      "location_text": "Location not specified",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.lincolnfinancial.com/job/Radnor-Sr_-AI-Product-Owner-Enterprise-AI-Platforms-PA/1393454300/",
      "apply_url_verified": false,
      "ats": "custom_structured",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sr. AI Product Owner - Enterprise AI Platforms Sr. AI Product Owner - Enterprise AI Platforms",
      "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": "Finance",
      "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.d8d9813f0bdca24c3a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "419708e22560d0ef530b9b7c71d4834a",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Sr. AI Product Owner - Enterprise AI Platforms Sr. AI Product Owner - Enterprise AI Platforms",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:419708e22560d0ef530b9b7c71d4834a:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.26362edd80e5ab3710",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "419708e22560d0ef530b9b7c71d4834a",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Sr. AI Product Owner - Enterprise AI Platforms",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:419708e22560d0ef530b9b7c71d4834a:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.19106a9f6994864f39",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "419708e22560d0ef530b9b7c71d4834a",
          "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": "Sr. AI Product Owner - Enterprise AI Platforms",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:1e44bd32ee465e0b40b351c2",
          "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.ca9bcf9c77614fd01d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "419708e22560d0ef530b9b7c71d4834a",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Sr. AI Product Owner - Enterprise AI Platforms",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "d21769b19511e4ab51a4185149812ec0",
      "title": "AI Specialist - AI For Research",
      "employer_name": "Xanadu",
      "employer_slug": "xanadu",
      "location_text": "Location not specified",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://xanadu.jazz.co/apply/C3eL2tR9G3/AI-Specialist-AI-For-Research",
      "apply_url_verified": false,
      "ats": "jazzhr",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Specialist - AI For Research AI Specialist - AI For Research",
      "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": 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.47243d0cb4ae4d54fb",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d21769b19511e4ab51a4185149812ec0",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Specialist - AI For Research AI Specialist - AI For Research",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d21769b19511e4ab51a4185149812ec0:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.fc2c4d6792da294b9b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d21769b19511e4ab51a4185149812ec0",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Specialist - AI For Research",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d21769b19511e4ab51a4185149812ec0:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.18e148b421abe36b93",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d21769b19511e4ab51a4185149812ec0",
          "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": "AI Specialist - AI For Research",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:fa75fd59f7c47ec4556bf5f6",
          "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.a95297df5c453e29a7",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d21769b19511e4ab51a4185149812ec0",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Specialist - AI For Research",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "33a4d421f7a0400ed8968fdbb69cf96b",
      "title": "AI Application Architect - AI, ML, GenAI, GCP, IBM Watsonx, Vertex AI, Python, MLOps",
      "employer_name": "United Parcel Service",
      "employer_slug": "united-parcel-service",
      "location_text": "CHENNAI, India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-10-07T00:00:00.000Z",
      "apply_url": "https://hcmportal.wd5.myworkdayjobs.com/Search/job/IN---TDC-1-IN110/AI-Application-Architect---AI--ML--GenAI--GCP--IBM-Watsonx--Vertex-AI--Python--MLOps_R25032277/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Application Architect - AI, ML, GenAI, GCP, IBM Watsonx, Vertex AI, Python, MLOps CHENNAI, India Job Summary. We are seeking an accomplished AI Application Architect to join our AI Acceleration teams and play a pivotal role in designing and delivering enterprise-scale AI and Generative AI (GenAI)...",
      "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": 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.ca29f9fa678d0c3695",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "33a4d421f7a0400ed8968fdbb69cf96b",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Application Architect - AI, ML, GenAI, GCP, IBM Watsonx, Vertex AI, Python, MLOps CHENNAI, India Job Summary. We are seeking an accomplished AI Application Architect to join our AI Acceleration teams and play a pivotal role in designing and delivering enterprise-scale AI and Generative AI (GenAI)...",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:33a4d421f7a0400ed8968fdbb69cf96b:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.0ab6d6fd7c20e327b1",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "33a4d421f7a0400ed8968fdbb69cf96b",
          "signal_type": "query_match",
          "display_text": "Location: \"ai\"",
          "tooltip": "Location matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "CHENNAI, India",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:33a4d421f7a0400ed8968fdbb69cf96b:location:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.23544dbf653bd7723a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "33a4d421f7a0400ed8968fdbb69cf96b",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Application Architect - AI, ML, GenAI, GCP, IBM Watsonx, Vertex AI, Python, MLOps",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:33a4d421f7a0400ed8968fdbb69cf96b:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.ee24fc41f01b713591",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "33a4d421f7a0400ed8968fdbb69cf96b",
          "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": "AI Application Architect - AI, ML, GenAI, GCP, IBM Watsonx, Vertex AI, Python, MLOps",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:be7f94c5e870652ce0cc3841",
          "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.9180cbd9a7b284804c",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "33a4d421f7a0400ed8968fdbb69cf96b",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Application Architect - AI, ML, GenAI, GCP, IBM Watsonx, Vertex AI, Python, MLOps",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "e69cc4adbcdd094a6b9506dbfe6de5fb",
      "title": "Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)",
      "employer_name": "Capital One Financial Corporation",
      "employer_slug": "capitalone",
      "location_text": "5 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": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/New-York-NY/Lead-AI-Engineer--AI-Foundations--LLM-Core-and-Agentic-AI-_R239862-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) 5 Locations posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": 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": "Finance",
      "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.110b0662022456b121",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e69cc4adbcdd094a6b9506dbfe6de5fb",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) 5 Locations posted: Posted 30+ Days Ago",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e69cc4adbcdd094a6b9506dbfe6de5fb:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.a84e6ed88a943f103f",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e69cc4adbcdd094a6b9506dbfe6de5fb",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e69cc4adbcdd094a6b9506dbfe6de5fb:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.6a96f29693f1645f42",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e69cc4adbcdd094a6b9506dbfe6de5fb",
          "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": "Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:519e38b79e3ecb5a3d93045b",
          "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.3b5cec474f4d5adf89",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e69cc4adbcdd094a6b9506dbfe6de5fb",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "67ca4b144d462bba49b219f5c9fe2f1d",
      "title": "Principal AI Compute SA, AGS Namer Tech",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "San Francisco, California, 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": 210200,
      "salary_max": 284300,
      "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": 210200,
      "base_salary_max": 284300,
      "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": "2026-05-26T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/10430375/principal-ai-compute-sa-ags-namer-tech",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal AI Compute SA, AGS Namer Tech San Francisco, California, USA Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI, and Agentic AI? Are you energized by the opportunity to drive production usage of ML and AI at scale? We'd love to hear from you. ML and AI, especially Generative AI and Agentic AI, are rapidly transforming how we work and live. We're witnessing the impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is reshaping every industry. Given the computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal environment for deploying AI models, and Amazon Web Services (AWS) leads this space. We're seeking someone who is passionate about AI's potential to help customers understand how it can transform their businesses. As an AI/ML Specialist Solutions Architect (SA), you will serve as a Subject Matter Expert for designing scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Your expertise will be important in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while defining robust governance frameworks and secure AI pipelines that scale efficiently. As",
      "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": "staff_plus",
      "years_experience_min": 7,
      "years_experience_max": null,
      "role_function": "trades",
      "employer_industry": "Industrial",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.547beb232dd79a259d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "67ca4b144d462bba49b219f5c9fe2f1d",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Principal AI Compute SA, AGS Namer Tech San Francisco, California, USA Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI, and Agentic AI? Are you energized by the opportunity to drive production usage of ML and AI at scale? We'd love to hear from you. ML and AI, especially Generative AI and Agentic AI, are rapidly transforming how we work and live. We're witnessing the impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is reshaping every industry. Given the computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal environment for deploying AI models, and Amazon Web Services (AWS) leads this space. We're seeking someone who is passionate about AI's potential to help customers understand how it can transform their businesses. As an AI/ML Specialist Solutions Architect (SA), you will serve as a Subject Matter Expert for designing scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Your expertise will be important in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while defining robust governance frameworks and secure AI pipelines that scale efficiently. As",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:67ca4b144d462bba49b219f5c9fe2f1d:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.97053bc409c2de574f",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "67ca4b144d462bba49b219f5c9fe2f1d",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Principal AI Compute SA, AGS Namer Tech",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:67ca4b144d462bba49b219f5c9fe2f1d:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.1aeb0705e34e5cfebe",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "67ca4b144d462bba49b219f5c9fe2f1d",
          "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 AI Compute SA, AGS Namer Tech",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:d9a0f28551f6919075e4711e",
          "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.9c53e728e75cbbcbd0",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "67ca4b144d462bba49b219f5c9fe2f1d",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Principal AI Compute SA, AGS Namer Tech",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "eba5e73096a897171115987b2e286ddb",
      "title": "Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)",
      "employer_name": "Capital One Financial Corporation",
      "employer_slug": "capitalone",
      "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": 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://capitalone.wd12.myworkdayjobs.com/Capital_One/job/New-York-NY/Lead-AI-Engineer--AI-Foundations--LLM-Core-and-Agentic-AI-_R244023-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) 4 Locations 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": "Finance",
      "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.659f44eba158a32f0b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "eba5e73096a897171115987b2e286ddb",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) 4 Locations posted: Posted 4 Days Ago",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:eba5e73096a897171115987b2e286ddb:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.7db47ee2d22bcb4f90",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "eba5e73096a897171115987b2e286ddb",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:eba5e73096a897171115987b2e286ddb:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.002c8b096f96a27ff5",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "eba5e73096a897171115987b2e286ddb",
          "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": "Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:59a78de6e92571fd53d90705",
          "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.2df8a0375520c1ae42",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "eba5e73096a897171115987b2e286ddb",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "352dcdd60ef3fd38a1d60403d898d05c",
      "title": "Manager, AI Engineering - AI & Business Tech Engineering",
      "employer_name": "DigitalOcean",
      "employer_slug": "digitalocean",
      "location_text": "Boston",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 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": [
        "a16z"
      ],
      "posted_at": "2026-06-11T16:15:10.000Z",
      "apply_url": "https://www.digitalocean.com/careers/position/apply/?gh_jid=8000625",
      "apply_url_verified": false,
      "ats": "custom_structured",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Manager, AI Engineering - AI & Business Tech Engineering Boston Manager, AI Engineering - AI & Business Tech Engineering",
      "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": 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.ac0a147a3409b552bb",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "352dcdd60ef3fd38a1d60403d898d05c",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Manager, AI Engineering - AI & Business Tech Engineering Boston Manager, AI Engineering - AI & Business Tech Engineering",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:352dcdd60ef3fd38a1d60403d898d05c:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.037348f67a839bce0e",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "352dcdd60ef3fd38a1d60403d898d05c",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Manager, AI Engineering - AI & Business Tech Engineering",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:352dcdd60ef3fd38a1d60403d898d05c:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.e8a16ab91cdbf2d13d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "352dcdd60ef3fd38a1d60403d898d05c",
          "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": "Manager, AI Engineering - AI & Business Tech Engineering",
          "matched_input": "altana ai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:8cc3fb0cfac2b11386b447c2",
          "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.4a3a4603c62c743940",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "352dcdd60ef3fd38a1d60403d898d05c",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Manager, AI Engineering - AI & Business Tech Engineering",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "5005be6b8d6f7f53173541a42a696f9b",
      "title": "Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI)",
      "employer_name": "Capital One Financial Corporation",
      "employer_slug": "capitalone",
      "location_text": "5 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": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/New-York-NY/Lead-AI-Engineer_R238717-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) 5 Locations posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": 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": "Finance",
      "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.e64c834f6c8571259b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "5005be6b8d6f7f53173541a42a696f9b",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) 5 Locations posted: Posted 30+ Days Ago",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:5005be6b8d6f7f53173541a42a696f9b:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.fbe01681de648f56b4",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "5005be6b8d6f7f53173541a42a696f9b",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:5005be6b8d6f7f53173541a42a696f9b:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.9d63026cfe4536bc3e",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "5005be6b8d6f7f53173541a42a696f9b",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "84f5965195df8ab47b42ed97f42497ae",
      "title": "Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI)",
      "employer_name": "Capital One Financial Corporation",
      "employer_slug": "capitalone",
      "location_text": "5 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": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/Cambridge-MA/Senior-Lead-AI-Engineer--Gen-AI-Platform-Services--Agentic-AI-_R239936-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) 5 Locations posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": 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": "Finance",
      "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.2b827a1bc28876731f",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "84f5965195df8ab47b42ed97f42497ae",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) 5 Locations posted: Posted 30+ Days Ago",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:84f5965195df8ab47b42ed97f42497ae:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.695cf46d6a00101f9f",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "84f5965195df8ab47b42ed97f42497ae",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:84f5965195df8ab47b42ed97f42497ae:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.89ed112e004a217859",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "84f5965195df8ab47b42ed97f42497ae",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "8afebfb4686564aa7a9cbcff778372d0",
      "title": "Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)",
      "employer_name": "Capital One Financial Corporation",
      "employer_slug": "capitalone",
      "location_text": "5 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": "2026-06-09T00:00:00.000Z",
      "apply_url": "https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/New-York-NY/Lead-AI-Engineer--AI-Foundations--LLM-Core-and-Agentic-AI-_R233607-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) 5 Locations posted: Posted 3 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": "Finance",
      "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.ddad572f4b801effd3",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8afebfb4686564aa7a9cbcff778372d0",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) 5 Locations posted: Posted 3 Days Ago",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:8afebfb4686564aa7a9cbcff778372d0:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.8c836a46060c1f27f4",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8afebfb4686564aa7a9cbcff778372d0",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:8afebfb4686564aa7a9cbcff778372d0:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.966f1668869db41560",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8afebfb4686564aa7a9cbcff778372d0",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "92369002c9f159da5df55f1cb3fc7eef",
      "title": "Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)",
      "employer_name": "Capital One Financial Corporation",
      "employer_slug": "capitalone",
      "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": 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://capitalone.wd12.myworkdayjobs.com/Capital_One/job/New-York-NY/Senior-Lead-AI-Engineer--AI-Foundations--LLM-Core-and-Agentic-AI-_R244024-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) 4 Locations 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": "Finance",
      "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.d766b4292dbe640205",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "92369002c9f159da5df55f1cb3fc7eef",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) 4 Locations posted: Posted 4 Days Ago",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:92369002c9f159da5df55f1cb3fc7eef:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.bd6f365e2e09f49d96",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "92369002c9f159da5df55f1cb3fc7eef",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:92369002c9f159da5df55f1cb3fc7eef:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.b72004d0fc8544f841",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "92369002c9f159da5df55f1cb3fc7eef",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "de47455320169de18dbd5514a21d7dc4",
      "title": "Lead AI Engineer -- Advanced AI (applied ML, LLMs, agentic AI, ML Ops)",
      "employer_name": "Target Corporation",
      "employer_slug": "target",
      "location_text": "2 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-11T00:00:00.000Z",
      "apply_url": "https://target.wd5.myworkdayjobs.com/targetcareers/job/7000-Target-Pkwy-NNCD-0375-Brooklyn-ParkMN-55445/Lead-AI-Engineer----Advanced-AI--applied-ML--LLMs--agentic-AI--ML-Ops-_R0000441559",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead AI Engineer -- Advanced AI (applied ML, LLMs, agentic AI, ML Ops) 2 Locations posted: Posted Yesterday",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": "Retail",
      "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.b18f0125206ab04119",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "de47455320169de18dbd5514a21d7dc4",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead AI Engineer -- Advanced AI (applied ML, LLMs, agentic AI, ML Ops) 2 Locations posted: Posted Yesterday",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:de47455320169de18dbd5514a21d7dc4:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.c9e6327f157409d2f4",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "de47455320169de18dbd5514a21d7dc4",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Lead AI Engineer -- Advanced AI (applied ML, LLMs, agentic AI, ML Ops)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:de47455320169de18dbd5514a21d7dc4:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.cdbf187e0ff4e94caf",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "de47455320169de18dbd5514a21d7dc4",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Lead AI Engineer -- Advanced AI (applied ML, LLMs, agentic AI, ML Ops)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.9263af7f2ea18d82b8",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "de47455320169de18dbd5514a21d7dc4",
          "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": "e97610358e82beea130b1ef8e00e8db2",
      "title": "Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)",
      "employer_name": "Capital One Financial Corporation",
      "employer_slug": "capitalone",
      "location_text": "5 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": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/New-York-NY/Senior-Lead-AI-Engineer--AI-Foundations--LLM-Core-and-Agentic-AI-_R236612-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) 5 Locations posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": 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": "Finance",
      "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.76ae5c8ea11b402b15",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e97610358e82beea130b1ef8e00e8db2",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) 5 Locations posted: Posted 30+ Days Ago",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e97610358e82beea130b1ef8e00e8db2:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.fe7d8991b508c1f591",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e97610358e82beea130b1ef8e00e8db2",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e97610358e82beea130b1ef8e00e8db2:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.17a6d2e6229b2efb63",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e97610358e82beea130b1ef8e00e8db2",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "269c37a0474c1bfdddb9047bc29d6c34",
      "title": "MTS1, AI Engineer- Agentic AI Platform",
      "employer_name": "eBay Inc.",
      "employer_slug": "ebay-inc",
      "location_text": "Tokyo, Tokyo, Japan",
      "country": "JP",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "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": "2026-04-29T00:00:00.000Z",
      "apply_url": "https://ebay.wd5.myworkdayjobs.com/apply/job/Tokyo/MTS1--AI-Engineer--Agentic-AI-Platform_R0074339/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "MTS1, AI Engineer- Agentic AI Platform Tokyo, Tokyo, Japan Join our team as a Senior Backend Engineer - AI Platform and lead the design of scalable, AI-driven workflows at eBay. Drive architectural strategy, mentor engineers, and shape the future of agentic AI platforms. If you excel in backend systems, cloud infrastructure, and AI integration, this is your opportunity to make a global impact.",
      "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": 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.f2e6f9ea953aef5765",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "269c37a0474c1bfdddb9047bc29d6c34",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "MTS1, AI Engineer- Agentic AI Platform Tokyo, Tokyo, Japan Join our team as a Senior Backend Engineer - AI Platform and lead the design of scalable, AI-driven workflows at eBay. Drive architectural strategy, mentor engineers, and shape the future of agentic AI platforms. If you excel in backend systems, cloud infrastructure, and AI integration, this is your opportunity to make a global impact.",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:269c37a0474c1bfdddb9047bc29d6c34:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.b047ca15d7d45c93af",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "269c37a0474c1bfdddb9047bc29d6c34",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "MTS1, AI Engineer- Agentic AI Platform",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:269c37a0474c1bfdddb9047bc29d6c34:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.ea08a5bc865d5b021c",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "269c37a0474c1bfdddb9047bc29d6c34",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "MTS1, AI Engineer- Agentic AI Platform",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.91e0932769d8451872",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "269c37a0474c1bfdddb9047bc29d6c34",
          "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": "7eb4bfece2238c449cfaec9c557663ed",
      "title": "Associate Data Scientist AI (d/m/w), DHL Data & AI",
      "employer_name": "Deutsche Post",
      "employer_slug": "deutsche-post",
      "location_text": "Bonn, Nordrhein-Westfalen, Germany",
      "country": "DE",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "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": "2026-05-20T01:00:00.000Z",
      "apply_url": "https://dhlconsulting.avature.net/careers/ApplicationMethods?jobId=606&source=DPDHL+Career+Portal",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Associate Data Scientist AI (d/m/w), DHL Data & AI Bonn, Nordrhein-Westfalen, Germany Associate Data Scientist AI (d/m/w). Creating Value at DHL Group through Data & AI Innovation. Bei DHL Data & AI entfalten wir das volle Potenzial von Data und AI - und gestalten aktiv die Zukunft ...",
      "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.bb8e082d574126504d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "7eb4bfece2238c449cfaec9c557663ed",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Associate Data Scientist AI (d/m/w), DHL Data & AI Bonn, Nordrhein-Westfalen, Germany Associate Data Scientist AI (d/m/w). Creating Value at DHL Group through Data & AI Innovation. Bei DHL Data & AI entfalten wir das volle Potenzial von Data und AI - und gestalten aktiv die Zukunft ...",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:7eb4bfece2238c449cfaec9c557663ed:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.bea496114474e784e5",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "7eb4bfece2238c449cfaec9c557663ed",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Associate Data Scientist AI (d/m/w), DHL Data & AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:7eb4bfece2238c449cfaec9c557663ed:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.17a670994188cff851",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "7eb4bfece2238c449cfaec9c557663ed",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Associate Data Scientist AI (d/m/w), DHL Data & AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "9b65d0d144195200106293ce1478226b",
      "title": "Senior Software Engineer, AI",
      "employer_name": "FloQast",
      "employer_slug": "floqast",
      "location_text": "Pune",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-06-07T17:58:24.000Z",
      "apply_url": "https://jobs.lever.co/floqast/f7edbbf6-3dc0-47c8-9994-7a467dd95850",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software Engineer, AI Pune FloQast is a fast-growing SaaS company innovating how accounting teams close the books faster and more accurately. Our mission is to take manual, error-prone work out of financial close and give teams the tools they need to collaborate, automate, and scale. We're trusted by thousands of accounting teams, including some of the world's most recognizable brands. Senior AI Engineer - Core AI Team As a Senior AI Engineer on our Core AI team, you will be a cornerstone of FloQast's AI transformation. You will architect, build, and scale the AI products that power our accounting automation platform and enable our vision of an AI accountant teammate. This role requires deep expertise in production AI systems and a passion for solving complex accounting workflow challenges. You will not only build AI applications but also shape the technical direction of AI across FloQast, establishing the platform and standards that enable distributed AI execution company-wide. What You'll Do What You'll Bring Nice To Haves",
      "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.c8f8c9266536b3b5d5",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "9b65d0d144195200106293ce1478226b",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Software Engineer, AI Pune FloQast is a fast-growing SaaS company innovating how accounting teams close the books faster and more accurately. Our mission is to take manual, error-prone work out of financial close and give teams the tools they need to collaborate, automate, and scale. We're trusted by thousands of accounting teams, including some of the world's most recognizable brands. Senior AI Engineer - Core AI Team As a Senior AI Engineer on our Core AI team, you will be a cornerstone of FloQast's AI transformation. You will architect, build, and scale the AI products that power our accounting automation platform and enable our vision of an AI accountant teammate. This role requires deep expertise in production AI systems and a passion for solving complex accounting workflow challenges. You will not only build AI applications but also shape the technical direction of AI across FloQast, establishing the platform and standards that enable distributed AI execution company-wide. What You'll Do What You'll Bring Nice To Haves",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:9b65d0d144195200106293ce1478226b:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.21cb2a5bd8bed3b306",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "9b65d0d144195200106293ce1478226b",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Software Engineer, AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:9b65d0d144195200106293ce1478226b:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.510a9e4ebcf43ae0f3",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "9b65d0d144195200106293ce1478226b",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Software Engineer, AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "368f7d0c9eeb50bcf19ec6184def8c40",
      "title": "Senior Software Engineer, Core AI",
      "employer_name": "FloQast",
      "employer_slug": "floqast",
      "location_text": "San Jose, California",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.lever.co/floqast/61ffafb4-deb5-473b-aecf-9c16f19e9259",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software Engineer, Core AI San Jose, California As a Senior Software Engineer on our Core AI team, you will be a key driver of FloQast's AI transformation. You will help architect, build, and scale the AI products that power our accounting automation platform and enable our vision of an AI accountant teammate. This role requires solid expertise in production AI systems and a passion for solving complex accounting workflow challenges. You will not only build AI applications but also contribute to the technical direction of AI across FloQast, helping to establish the platform and standards that enable distributed AI execution company-wide. What You'll Do What You'll Bring Nice To Haves/Other",
      "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.e3a78b108f8b27b552",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "368f7d0c9eeb50bcf19ec6184def8c40",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Software Engineer, Core AI San Jose, California As a Senior Software Engineer on our Core AI team, you will be a key driver of FloQast's AI transformation. You will help architect, build, and scale the AI products that power our accounting automation platform and enable our vision of an AI accountant teammate. This role requires solid expertise in production AI systems and a passion for solving complex accounting workflow challenges. You will not only build AI applications but also contribute to the technical direction of AI across FloQast, helping to establish the platform and standards that enable distributed AI execution company-wide. What You'll Do What You'll Bring Nice To Haves/Other",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:368f7d0c9eeb50bcf19ec6184def8c40:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.0a92873c1e24f244eb",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "368f7d0c9eeb50bcf19ec6184def8c40",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Software Engineer, Core AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:368f7d0c9eeb50bcf19ec6184def8c40:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.dac60ac4991a45f687",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "368f7d0c9eeb50bcf19ec6184def8c40",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Software Engineer, Core AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "329e8a0f5fce090816eb9e14475a3d59",
      "title": "Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)",
      "employer_name": "Capital One Financial Corporation",
      "employer_slug": "capitalone",
      "location_text": "5 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": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/San-Jose-CA/Lead-AI-Engineer--Gen-AI-Platform--Agentic-AI---LLM-Infrastructure---Orchestration-_R238534-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) 5 Locations posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": 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": "Finance",
      "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.9871c0176b429736ac",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "329e8a0f5fce090816eb9e14475a3d59",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) 5 Locations posted: Posted 30+ Days Ago",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:329e8a0f5fce090816eb9e14475a3d59:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.3d1e2bb1cc201497a7",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "329e8a0f5fce090816eb9e14475a3d59",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:329e8a0f5fce090816eb9e14475a3d59:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.ee137ad859d0fd40aa",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "329e8a0f5fce090816eb9e14475a3d59",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "94acb04ea07c891dd3fdd28087b41db6",
      "title": "Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services)",
      "employer_name": "Capital One Financial Corporation",
      "employer_slug": "capitalone",
      "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": 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": "2026-06-09T00:00:00.000Z",
      "apply_url": "https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/San-Jose-CA/Senior-Lead-AI-Engineer_R236741-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services) 4 Locations posted: Posted 3 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": "Finance",
      "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.204f9a16503bb5e53e",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "94acb04ea07c891dd3fdd28087b41db6",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services) 4 Locations posted: Posted 3 Days Ago",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:94acb04ea07c891dd3fdd28087b41db6:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.fc9d5de104e659b00e",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "94acb04ea07c891dd3fdd28087b41db6",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:94acb04ea07c891dd3fdd28087b41db6:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.de2ead01c6aa7a5cf2",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "94acb04ea07c891dd3fdd28087b41db6",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "a4711f76a455fc3e147e0364877018f8",
      "title": "Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)",
      "employer_name": "Capital One Financial Corporation",
      "employer_slug": "capitalone",
      "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": 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://capitalone.wd12.myworkdayjobs.com/Capital_One/job/San-Jose-CA/Senior-Lead-AI-Engineer_R235109-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) 4 Locations posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": 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": "Finance",
      "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.9730ab9083cbf5a81d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "a4711f76a455fc3e147e0364877018f8",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) 4 Locations posted: Posted 30+ Days Ago",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:a4711f76a455fc3e147e0364877018f8:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.c34203db777658b26d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "a4711f76a455fc3e147e0364877018f8",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:a4711f76a455fc3e147e0364877018f8:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.8b9a75058b09f099fe",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "a4711f76a455fc3e147e0364877018f8",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "cda464f65262544fd6a9937160bec776",
      "title": "Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)",
      "employer_name": "Capital One Financial Corporation",
      "employer_slug": "capitalone",
      "location_text": "5 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": "2026-05-14T00:00:00.000Z",
      "apply_url": "https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/San-Jose-CA/Senior-Lead-AI-Engineer-MLX--Agentic-AI--Gen-AI-platform-Services-_R242649-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services) 5 Locations posted: Posted 29 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": "Finance",
      "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.203d806f1513faa0f9",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "cda464f65262544fd6a9937160bec776",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services) 5 Locations posted: Posted 29 Days Ago",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:cda464f65262544fd6a9937160bec776:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.13bbf1f18d187e2c2f",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "cda464f65262544fd6a9937160bec776",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:cda464f65262544fd6a9937160bec776:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.a07dd088ef6e1a3f6e",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "cda464f65262544fd6a9937160bec776",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "fb968f7d8299c30f9f7af8e93a2c599f",
      "title": "Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)",
      "employer_name": "Capital One Financial Corporation",
      "employer_slug": "capitalone",
      "location_text": "5 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": "2026-05-29T00:00:00.000Z",
      "apply_url": "https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/McLean-VA/Lead-AI-Engineer--GenAI-Platform--AI-Foundations--LLM-Core-and-Agentic-AI-_R243461-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) 5 Locations posted: Posted 14 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": "Finance",
      "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.2efbd381df72bb7b10",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "fb968f7d8299c30f9f7af8e93a2c599f",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) 5 Locations posted: Posted 14 Days Ago",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:fb968f7d8299c30f9f7af8e93a2c599f:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.5529685831ac6cb31b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "fb968f7d8299c30f9f7af8e93a2c599f",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:fb968f7d8299c30f9f7af8e93a2c599f:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.72ce2d46b54a39bb2d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "fb968f7d8299c30f9f7af8e93a2c599f",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "2f47bf5e9464f9cd3bfcbe11370a0efc",
      "title": "AI Engineer - AI, Data & Platforms",
      "employer_name": "Stage",
      "employer_slug": "stage",
      "location_text": "Gurugram",
      "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": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://www.kkr.com/careers/career-opportunities/post?gh_jid=6016119004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Engineer - AI, Data & Platforms Gurugram",
      "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": 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.0de29e22a288f926ec",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "2f47bf5e9464f9cd3bfcbe11370a0efc",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Engineer - AI, Data & Platforms Gurugram",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:2f47bf5e9464f9cd3bfcbe11370a0efc:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.437be46dea8e8e4f5d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "2f47bf5e9464f9cd3bfcbe11370a0efc",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Engineer - AI, Data & Platforms",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:2f47bf5e9464f9cd3bfcbe11370a0efc:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.a90bf788d3edde365b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "2f47bf5e9464f9cd3bfcbe11370a0efc",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Engineer - AI, Data & Platforms",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "3516c733e1efd6923d97842996a0a073",
      "title": "Principal GenAI Specialist SA",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "New York, New York, 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": 210200,
      "salary_max": 284300,
      "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": 182800,
      "base_salary_max": 272000,
      "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": "2026-03-24T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/10375124/principal-genai-specialist-sa",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal GenAI Specialist SA New York, New York, USA Application deadline: Jun 14, 2026 Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI, and Agentic AI? Are you energized by the opportunity to drive production usage of ML and AI at scale? We'd love to hear from you. ML and AI, especially Generative AI and Agentic AI, are rapidly transforming how we work and live. We're witnessing the impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is reshaping every industry. Given the computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal environment for deploying AI models, and Amazon Web Services (AWS) leads this space. We're seeking someone who is passionate about AI's potential to help customers understand how it can transform their businesses. As an AI/ML Specialist Solutions Architect (SA), you will serve as a Subject Matter Expert for designing scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Your expertise will be important in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while defining robust governance frameworks and secure AI pipelines that",
      "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": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "other",
      "employer_industry": "Industrial",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.816937f2e137cbeca2",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3516c733e1efd6923d97842996a0a073",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Principal GenAI Specialist SA New York, New York, USA Application deadline: Jun 14, 2026 Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI, and Agentic AI? Are you energized by the opportunity to drive production usage of ML and AI at scale? We'd love to hear from you. ML and AI, especially Generative AI and Agentic AI, are rapidly transforming how we work and live. We're witnessing the impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is reshaping every industry. Given the computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal environment for deploying AI models, and Amazon Web Services (AWS) leads this space. We're seeking someone who is passionate about AI's potential to help customers understand how it can transform their businesses. As an AI/ML Specialist Solutions Architect (SA), you will serve as a Subject Matter Expert for designing scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Your expertise will be important in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while defining robust governance frameworks and secure AI pipelines that",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:3516c733e1efd6923d97842996a0a073:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.6c715914a724ca147e",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3516c733e1efd6923d97842996a0a073",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Principal GenAI Specialist SA",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:3516c733e1efd6923d97842996a0a073:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.8d46d0212f8d1c4c0b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3516c733e1efd6923d97842996a0a073",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Principal GenAI Specialist SA",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "37fab5be87241c37d36c090405df7545",
      "title": "Principal Engineer, AI Security",
      "employer_name": "Lila Sciences",
      "employer_slug": "lila-sciences",
      "location_text": "Cambridge, MA USA",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 171000,
      "salary_max": 230534,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 171000,
      "base_salary_max": 230534,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-04-16T16:38:24.000Z",
      "apply_url": "https://job-boards.greenhouse.io/lilasciences/jobs/4210497009",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal Engineer, AI Security Cambridge, MA USA Your Impact at LILA As a Principal Security Engineer focused on AI Security, you will define and drive the technical strategy for securing how AI is used across Lila's enterprise. You will operate as a senior individual contributor, partnering with IT and business teams to ensure safe and compliant adoption of AI tools and platforms. While Lila builds AI-powered systems, this role is primarily focused on securing the use of third-party and internally deployed AI tools across the enterprise - ensuring sensitive data, intellectual property, and scientific workflows are protected as AI becomes deeply embedded in how work gets done. What You'll Be Building - Enterprise AI Security Strategy - Define and implement security controls and guardrails for the use of AI tools (e.g., LLM APIs, SaaS AI platforms, and internal AI services) across the organization. - AI Gateway & Agentic Gateway Security - Design and implement AI gateway controls to manage and monitor access to external and internal AI systems. Secure agentic workflows by enforcing identity, authorization, tool-use constraints, and policy controls for autonomous or semi-autonomous agents. - AI Red Teaming & Adversarial Testing - Conduct red teaming and adversarial testing focused on enterprise AI usage, including prompt injection, data exfiltration, jailbreaks, and abuse of connected tools and plugins. - Data Protection for AI Usage - Develop and enforce controls to prevent sensitive data leakage through AI systems, including input/output filtering, data classification, tokenization, and secure handling of prompts, embeddings, and outputs.",
      "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": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": null,
      "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": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.67bdd4207888cc9109",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "37fab5be87241c37d36c090405df7545",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Principal Engineer, AI Security Cambridge, MA USA Your Impact at LILA As a Principal Security Engineer focused on AI Security, you will define and drive the technical strategy for securing how AI is used across Lila's enterprise. You will operate as a senior individual contributor, partnering with IT and business teams to ensure safe and compliant adoption of AI tools and platforms. While Lila builds AI-powered systems, this role is primarily focused on securing the use of third-party and internally deployed AI tools across the enterprise - ensuring sensitive data, intellectual property, and scientific workflows are protected as AI becomes deeply embedded in how work gets done. What You'll Be Building - Enterprise AI Security Strategy - Define and implement security controls and guardrails for the use of AI tools (e.g., LLM APIs, SaaS AI platforms, and internal AI services) across the organization. - AI Gateway & Agentic Gateway Security - Design and implement AI gateway controls to manage and monitor access to external and internal AI systems. Secure agentic workflows by enforcing identity, authorization, tool-use constraints, and policy controls for autonomous or semi-autonomous agents. - AI Red Teaming & Adversarial Testing - Conduct red teaming and adversarial testing focused on enterprise AI usage, including prompt injection, data exfiltration, jailbreaks, and abuse of connected tools and plugins. - Data Protection for AI Usage - Develop and enforce controls to prevent sensitive data leakage through AI systems, including input/output filtering, data classification, tokenization, and secure handling of prompts, embeddings, and outputs.",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:37fab5be87241c37d36c090405df7545:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.5c3ef45e6545c68a38",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "37fab5be87241c37d36c090405df7545",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Principal Engineer, AI Security",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:37fab5be87241c37d36c090405df7545:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.d78ced5c7dd6f7b816",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "37fab5be87241c37d36c090405df7545",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Principal Engineer, AI Security",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "909577cefcb2570ac4636295379172b8",
      "title": "Senior AI Engineer - AI Product",
      "employer_name": "ClickUp",
      "employer_slug": "clickup",
      "location_text": "United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z"
      ],
      "posted_at": "2026-04-30T18:06:18.692Z",
      "apply_url": "https://jobs.ashbyhq.com/clickup/40010433-0765-440a-ad17-f071f3b969f9",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior AI Engineer - AI Product United States At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a skilled and innovative Senior AI Engineer - AI Product to join our ClickUp Engineering team. In this role, you will drive the development of intelligent, user-facing features that leverage the latest advancements in AI and large language models (LLMs). You will work closely with product, design, and engineering teams to deliver seamless, impactful AI-powered experiences that delight our users and differentiate ClickUp in the productivity space. This is a product-focused engineering role requiring deep expertise in AI, LLMs, and building scalable, production-ready applications. Key Responsibilities: - Lead the design, development, and deployment of AI-powered features and products that directly impact ClickUp users. - Collaborate with product managers, designers, and engineers to identify opportunities for AI-driven innovation and translate user needs into technical solutions. - Integrate and orchestrate multiple LLMs and AI models to deliver robust, context-aware, and personalized user experiences. - Prototype, test, and iterate on new AI features, leveraging user feedback and data to drive continuous improvement. - Ensure the reliability, scalability, and performance of AI-powered features in production environments. - Stay at the forefront",
      "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.844a57fc23116bfaab",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "909577cefcb2570ac4636295379172b8",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior AI Engineer - AI Product United States At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a skilled and innovative Senior AI Engineer - AI Product to join our ClickUp Engineering team. In this role, you will drive the development of intelligent, user-facing features that leverage the latest advancements in AI and large language models (LLMs). You will work closely with product, design, and engineering teams to deliver seamless, impactful AI-powered experiences that delight our users and differentiate ClickUp in the productivity space. This is a product-focused engineering role requiring deep expertise in AI, LLMs, and building scalable, production-ready applications. Key Responsibilities: - Lead the design, development, and deployment of AI-powered features and products that directly impact ClickUp users. - Collaborate with product managers, designers, and engineers to identify opportunities for AI-driven innovation and translate user needs into technical solutions. - Integrate and orchestrate multiple LLMs and AI models to deliver robust, context-aware, and personalized user experiences. - Prototype, test, and iterate on new AI features, leveraging user feedback and data to drive continuous improvement. - Ensure the reliability, scalability, and performance of AI-powered features in production environments. - Stay at the forefront",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:909577cefcb2570ac4636295379172b8:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.1c3da5c87e0c21ccf1",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "909577cefcb2570ac4636295379172b8",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior AI Engineer - AI Product",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:909577cefcb2570ac4636295379172b8:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.5191f1add9d52e113a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "909577cefcb2570ac4636295379172b8",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior AI Engineer - AI Product",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "a6bc5a42c96e2ae2258bdb8822853109",
      "title": "Staff AI Engineer - AI Product",
      "employer_name": "ClickUp",
      "employer_slug": "clickup",
      "location_text": "United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z"
      ],
      "posted_at": "2026-04-30T18:11:24.103Z",
      "apply_url": "https://jobs.ashbyhq.com/clickup/f5d084a8-254c-49a8-ab9c-d34a3acf9a00",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff AI Engineer - AI Product United States At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a highly skilled Staff AI Engineer - AI Product to join our ClickUp Engineering team. In this role, you will drive the development of intelligent, user-facing features that leverage the latest advancements in AI and large language models (LLMs). You will work closely with product, design, and engineering teams to deliver seamless, impactful AI-powered experiences that delight our users and differentiate ClickUp in the productivity space. This is a product-focused engineering role requiring deep expertise in AI, LLMs, and building scalable, production-ready applications. Key Responsibilities: - Lead the design, development, and deployment of AI-powered features and products that directly impact ClickUp users. - Collaborate with product managers, designers, and engineers to identify opportunities for AI-driven innovation and translate user needs into technical solutions. - Integrate and orchestrate multiple LLMs and AI models to deliver robust, context-aware, and personalized user experiences. - Prototype, test, and iterate on new AI features, leveraging user feedback and data to drive continuous improvement. - Ensure the reliability, scalability, and performance of AI-powered features in production environments. - Stay at the forefront of",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 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": 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.e5ad665663d062202d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "a6bc5a42c96e2ae2258bdb8822853109",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff AI Engineer - AI Product United States At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a highly skilled Staff AI Engineer - AI Product to join our ClickUp Engineering team. In this role, you will drive the development of intelligent, user-facing features that leverage the latest advancements in AI and large language models (LLMs). You will work closely with product, design, and engineering teams to deliver seamless, impactful AI-powered experiences that delight our users and differentiate ClickUp in the productivity space. This is a product-focused engineering role requiring deep expertise in AI, LLMs, and building scalable, production-ready applications. Key Responsibilities: - Lead the design, development, and deployment of AI-powered features and products that directly impact ClickUp users. - Collaborate with product managers, designers, and engineers to identify opportunities for AI-driven innovation and translate user needs into technical solutions. - Integrate and orchestrate multiple LLMs and AI models to deliver robust, context-aware, and personalized user experiences. - Prototype, test, and iterate on new AI features, leveraging user feedback and data to drive continuous improvement. - Ensure the reliability, scalability, and performance of AI-powered features in production environments. - Stay at the forefront of",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:a6bc5a42c96e2ae2258bdb8822853109:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.94d9a2cbfe7dfc08db",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "a6bc5a42c96e2ae2258bdb8822853109",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Staff AI Engineer - AI Product",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:a6bc5a42c96e2ae2258bdb8822853109:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.2f280ddedd1dea5a2d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "a6bc5a42c96e2ae2258bdb8822853109",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Staff AI Engineer - AI Product",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "207a3e4edc41e909d39e69243d041545",
      "title": "Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx",
      "employer_name": "United Parcel Service",
      "employer_slug": "united-parcel-service",
      "location_text": "CHENNAI, India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-11-04T00:00:00.000Z",
      "apply_url": "https://hcmportal.wd5.myworkdayjobs.com/Search/job/IN---TDC-1-IN110/Intermediate-AI-Engineer---Python--RAG--Agentic-AI--ADK--MCP--GCP--Vertex-AI--IBM-Watsonx_R25032388/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx CHENNAI, India Job Summary. We are seeking a highly skilled AI Engineer with 5+ years of overall experience in software development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI s...",
      "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.207135639e8828937c",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "207a3e4edc41e909d39e69243d041545",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx CHENNAI, India Job Summary. We are seeking a highly skilled AI Engineer with 5+ years of overall experience in software development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI s...",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:207a3e4edc41e909d39e69243d041545:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.8a9d5969a6c4ed684a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "207a3e4edc41e909d39e69243d041545",
          "signal_type": "query_match",
          "display_text": "Location: \"ai\"",
          "tooltip": "Location matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "CHENNAI, India",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:207a3e4edc41e909d39e69243d041545:location:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.94bb9214b4b05e4102",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "207a3e4edc41e909d39e69243d041545",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:207a3e4edc41e909d39e69243d041545:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.5bbe893373803beadc",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "207a3e4edc41e909d39e69243d041545",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "2d719020767cf68401a27a587e058927",
      "title": "AI Engineer — AI Efficiency and Economics",
      "employer_name": "Hewlett Packard Enterprise",
      "employer_slug": "hewlett-packard-enterprise",
      "location_text": "Spring, Texas, United States of America",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "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": "2026-05-29T00:00:00.000Z",
      "apply_url": "https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/Spring-Texas-United-States-of-America/AI-Engineer---AI-Efficiency-and-Economics_1207649-2/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Engineer — AI Efficiency and Economics Spring, Texas, United States of America Embrace the role of an AI Engineer specializing in AI efficiency and economics. Drive innovation by optimizing AI workflows, analyzing LLMs, and developing automation tools. Collaborate with engineering leaders to implement best practices and deliver measurable improvements. Shape the future of AI-driven solutions at Hewlett Packard Enterprise. Grow your career with us!",
      "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": 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.4096fc8757b8f181e2",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "2d719020767cf68401a27a587e058927",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Engineer — AI Efficiency and Economics Spring, Texas, United States of America Embrace the role of an AI Engineer specializing in AI efficiency and economics. Drive innovation by optimizing AI workflows, analyzing LLMs, and developing automation tools. Collaborate with engineering leaders to implement best practices and deliver measurable improvements. Shape the future of AI-driven solutions at Hewlett Packard Enterprise. Grow your career with us!",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:2d719020767cf68401a27a587e058927:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.ebec7aeac9772ef645",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "2d719020767cf68401a27a587e058927",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Engineer — AI Efficiency and Economics",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:2d719020767cf68401a27a587e058927:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.18e4bc6a1c56592f8c",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "2d719020767cf68401a27a587e058927",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Engineer — AI Efficiency and Economics",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.1f8e537e1a5764c9d5",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "2d719020767cf68401a27a587e058927",
          "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": "4f4870dbf496d8050564f2efca02009e",
      "title": "Intermediate / Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx",
      "employer_name": "United Parcel Service",
      "employer_slug": "united-parcel-service",
      "location_text": "CHENNAI, India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-01-28T00:00:00.000Z",
      "apply_url": "https://hcmportal.wd5.myworkdayjobs.com/Search/job/IN---TDC-1-IN110/Intermediate---Senior-AI-Engineer---Python--RAG--Agentic-AI--ADK--MCP--GCP--Vertex-AI--IBM-Watsonx_R26002515/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Intermediate / Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx CHENNAI, India Job Summary. We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large L...",
      "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.0b4c7f7b5ed7591ff7",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4f4870dbf496d8050564f2efca02009e",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Intermediate / Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx CHENNAI, India Job Summary. We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large L...",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:4f4870dbf496d8050564f2efca02009e:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.66519fe74c3efa501c",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4f4870dbf496d8050564f2efca02009e",
          "signal_type": "query_match",
          "display_text": "Location: \"ai\"",
          "tooltip": "Location matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "CHENNAI, India",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:4f4870dbf496d8050564f2efca02009e:location:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.334b74a475272234b3",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4f4870dbf496d8050564f2efca02009e",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Intermediate / Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:4f4870dbf496d8050564f2efca02009e:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.8b74c97886f10f0a07",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4f4870dbf496d8050564f2efca02009e",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Intermediate / Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "bb923111baae6e77496a4276778afe49",
      "title": "Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox",
      "employer_name": "United Parcel Service",
      "employer_slug": "united-parcel-service",
      "location_text": "CHENNAI, India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-10T00:00:00.000Z",
      "apply_url": "https://hcmportal.wd5.myworkdayjobs.com/Search/job/IN---TDC-1-IN110/Senior-AI-Engineer---Python--RAG--Agentic-AI--ADK--MCP--GCP--Vertex-AI--IBM-Watsox_R26007387/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox CHENNAI, India Job Summary. We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large L...",
      "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.853ee569b4fa07101e",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "bb923111baae6e77496a4276778afe49",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox CHENNAI, India Job Summary. We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large L...",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:bb923111baae6e77496a4276778afe49:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.2f8e6557294c04c3a2",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "bb923111baae6e77496a4276778afe49",
          "signal_type": "query_match",
          "display_text": "Location: \"ai\"",
          "tooltip": "Location matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "CHENNAI, India",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:bb923111baae6e77496a4276778afe49:location:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.c0bac71c83ddf5065e",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "bb923111baae6e77496a4276778afe49",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:bb923111baae6e77496a4276778afe49:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.60707cfe35efa3f749",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "bb923111baae6e77496a4276778afe49",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "e1bf9d0fce9ea1e6724bfb56fe767283",
      "title": "Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx",
      "employer_name": "United Parcel Service",
      "employer_slug": "united-parcel-service",
      "location_text": "CHENNAI, India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-09-29T00:00:00.000Z",
      "apply_url": "https://hcmportal.wd5.myworkdayjobs.com/Search/job/IN---TDC-1-IN110/Intermediate-AI-Engineer---Python--RAG--Agentic-AI--ADK--MCP--GCP--Vertex-AI--IBM-Watsonx_R25032390/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx CHENNAI, India Job Summary. We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large L...",
      "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.ba7e5fc0c71b6e2df1",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e1bf9d0fce9ea1e6724bfb56fe767283",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx CHENNAI, India Job Summary. We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large L...",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e1bf9d0fce9ea1e6724bfb56fe767283:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.35e27543cbfef1ad12",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e1bf9d0fce9ea1e6724bfb56fe767283",
          "signal_type": "query_match",
          "display_text": "Location: \"ai\"",
          "tooltip": "Location matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "CHENNAI, India",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e1bf9d0fce9ea1e6724bfb56fe767283:location:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.88180b75f543b93154",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e1bf9d0fce9ea1e6724bfb56fe767283",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e1bf9d0fce9ea1e6724bfb56fe767283:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.63683b2ed9dc8b6b88",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e1bf9d0fce9ea1e6724bfb56fe767283",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "e8b0c0f6ac76714eb625ad4e5bb049dd",
      "title": "Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox",
      "employer_name": "United Parcel Service",
      "employer_slug": "united-parcel-service",
      "location_text": "CHENNAI, India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-11-04T00:00:00.000Z",
      "apply_url": "https://hcmportal.wd5.myworkdayjobs.com/Search/job/IN---TDC-1-IN110/Senior-AI-Engineer---Python--RAG--Agentic-AI--ADK--MCP--GCP--Vertex-AI--IBM-Watsox_R25032387-1/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox CHENNAI, India Job Summary. We are seeking a highly skilled AI Engineer with 5+ years of overall experience in software development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI s...",
      "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.7bef9ad4f829648e81",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e8b0c0f6ac76714eb625ad4e5bb049dd",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox CHENNAI, India Job Summary. We are seeking a highly skilled AI Engineer with 5+ years of overall experience in software development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI s...",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e8b0c0f6ac76714eb625ad4e5bb049dd:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.2e0bf0600decaf590f",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e8b0c0f6ac76714eb625ad4e5bb049dd",
          "signal_type": "query_match",
          "display_text": "Location: \"ai\"",
          "tooltip": "Location matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "CHENNAI, India",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e8b0c0f6ac76714eb625ad4e5bb049dd:location:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.20447245d9bc45c184",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e8b0c0f6ac76714eb625ad4e5bb049dd",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e8b0c0f6ac76714eb625ad4e5bb049dd:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.63099d1ef9a9942d71",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e8b0c0f6ac76714eb625ad4e5bb049dd",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "206aa2170d86ea73a4a17301014165f0",
      "title": "Lead, AI",
      "employer_name": "Dollarama Inc.",
      "employer_slug": "dollarama-inc",
      "location_text": "Mont Royal",
      "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": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://jobs.dollarama.com/job/Mont-Royal-Lead%2C-AI-QC/603040317/",
      "apply_url_verified": false,
      "ats": "successfactors",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead, AI Mont Royal Job Summary Dollarama is seeking a strategic and hands-on AI leader to lead its AI Center of Excellence and drive the responsible adoption of artificial intelligence across the business. Reporting to the VP of IT, this role is accountable for shaping the enterprise AI vision, overseeing a portfolio of AI initiatives, and ensuring that solutions deliver measurable business value while meeting governance, ethics, privacy and risk standards. The ideal candidate combines deep expertise in AI, machine learning, data science, MLOps and AI governance with the leadership skills needed to influence senior stakeholders and scale AI capabilities across retail operations, back office, supply chain, merchandising, and corporate functions. This person will serve as the company's internal AI authority, helping translate strategy into practical, high-impact execution. Key Accountabilities Lead and develop the AI Center of Excellence as the central hub for AI strategy, standards, reusable assets and delivery practices Build and mentor a multidisciplinary team spanning data science, ML engineering, MLOps and AI governance Own the enterprise AI roadmap and prioritize initiatives based on strategic alignment, feasibility and business value Oversee end-to-end AI delivery, from opportunity identification and business case development to deployment, monitoring and adoption Advise senior leadership and the AI Steering Committee on investments, priorities, risks and emerging opportunities Establish g",
      "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": "other",
      "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.088e226b10a4e7a3a7",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "206aa2170d86ea73a4a17301014165f0",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead, AI Mont Royal Job Summary Dollarama is seeking a strategic and hands-on AI leader to lead its AI Center of Excellence and drive the responsible adoption of artificial intelligence across the business. Reporting to the VP of IT, this role is accountable for shaping the enterprise AI vision, overseeing a portfolio of AI initiatives, and ensuring that solutions deliver measurable business value while meeting governance, ethics, privacy and risk standards. The ideal candidate combines deep expertise in AI, machine learning, data science, MLOps and AI governance with the leadership skills needed to influence senior stakeholders and scale AI capabilities across retail operations, back office, supply chain, merchandising, and corporate functions. This person will serve as the company's internal AI authority, helping translate strategy into practical, high-impact execution. Key Accountabilities Lead and develop the AI Center of Excellence as the central hub for AI strategy, standards, reusable assets and delivery practices Build and mentor a multidisciplinary team spanning data science, ML engineering, MLOps and AI governance Own the enterprise AI roadmap and prioritize initiatives based on strategic alignment, feasibility and business value Oversee end-to-end AI delivery, from opportunity identification and business case development to deployment, monitoring and adoption Advise senior leadership and the AI Steering Committee on investments, priorities, risks and emerging opportunities Establish g",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:206aa2170d86ea73a4a17301014165f0:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.332b0875a5b033832b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "206aa2170d86ea73a4a17301014165f0",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Lead, AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:206aa2170d86ea73a4a17301014165f0:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.e7ea290e8b9d829d00",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "206aa2170d86ea73a4a17301014165f0",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Lead, AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "d2483a347ce49cfeb6a02556b74cdb5e",
      "title": "Chief AI Architect",
      "employer_name": "Bank of Nova Scotia",
      "employer_slug": "bank-of-nova-scotia",
      "location_text": "Toronto",
      "country": "CA",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": 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://jobs.scotiabank.com/job/Toronto-Chief-AI-Architect-ON-M5H-1H1/601649117/",
      "apply_url_verified": false,
      "ats": "successfactors",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Chief AI Architect Toronto Requisition ID: 258532 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Chief AI Architect is the most senior architecture authority in AI and Agentic Engineering and the definitive technical voice for enterprise AI solution design across Scotiabank. This role leads the Enterprise AI and Agentic Solution Architecture group, the function responsible for translating Scotiabank's enterprise AI strategy into coherent, governed, production-viable solution architectures that span business lines, platforms, and geographies. The Chief AI Architect does not build the AI platform and does not own feature delivery. They define how AI capabilities are assembled into complete business solutions, establish the architectural standards that govern all AI solution builds across the bank, and ensure that platform investments in AI and ML infrastructure are mapped to enterprise business outcomes with architectural precision. This role operates as a technical peer Head of AI and Agentic Engineering. This is the person the bank turns to when an enterprise AI architecture decision has consequences that outlast any individual program. Is this role right for you? In this role, you will: Define Scotiabank's enterprise AI solution architecture: the canonical reference architectures, solution patterns, and integration blueprints that govern how GenAI, agentic AI, and ML capabilities are assembled and deployed across business lines, customer-faci",
      "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": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "engineering",
      "employer_industry": "Finance",
      "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.b81a717c0877eb869a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d2483a347ce49cfeb6a02556b74cdb5e",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Chief AI Architect Toronto Requisition ID: 258532 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Chief AI Architect is the most senior architecture authority in AI and Agentic Engineering and the definitive technical voice for enterprise AI solution design across Scotiabank. This role leads the Enterprise AI and Agentic Solution Architecture group, the function responsible for translating Scotiabank's enterprise AI strategy into coherent, governed, production-viable solution architectures that span business lines, platforms, and geographies. The Chief AI Architect does not build the AI platform and does not own feature delivery. They define how AI capabilities are assembled into complete business solutions, establish the architectural standards that govern all AI solution builds across the bank, and ensure that platform investments in AI and ML infrastructure are mapped to enterprise business outcomes with architectural precision. This role operates as a technical peer Head of AI and Agentic Engineering. This is the person the bank turns to when an enterprise AI architecture decision has consequences that outlast any individual program. Is this role right for you? In this role, you will: Define Scotiabank's enterprise AI solution architecture: the canonical reference architectures, solution patterns, and integration blueprints that govern how GenAI, agentic AI, and ML capabilities are assembled and deployed across business lines, customer-faci",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d2483a347ce49cfeb6a02556b74cdb5e:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.262d9a986ab56e8058",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d2483a347ce49cfeb6a02556b74cdb5e",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Chief AI Architect",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d2483a347ce49cfeb6a02556b74cdb5e:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.f86a0aea5e81a478e6",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d2483a347ce49cfeb6a02556b74cdb5e",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Chief AI Architect",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "4874cbab75b0060741c64423f8deb7d4",
      "title": "Sr AI Engineer - Physical AI",
      "employer_name": "Lowe's",
      "employer_slug": "lowe-s",
      "location_text": "Charlotte, North Carolina, United States of America",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-27T00:00:00.000Z",
      "apply_url": "https://lowes.wd5.myworkdayjobs.com/LWS_External_CS/job/Lowes-Charlotte-Technology-Hub-3505/Sr-AI-Engineer---Physical-AI_JR-02519158/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sr AI Engineer - Physical AI Charlotte, North Carolina, United States of America We are looking for a Senior AI Engineer to lead the development of Physical AI systems at Lowe's. This role involves working with robotics, computer vision, and machine learning to create scalable AI solutions that enhance our stores and supply chain.",
      "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.d5137be6ae3149b0a4",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4874cbab75b0060741c64423f8deb7d4",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Sr AI Engineer - Physical AI Charlotte, North Carolina, United States of America We are looking for a Senior AI Engineer to lead the development of Physical AI systems at Lowe's. This role involves working with robotics, computer vision, and machine learning to create scalable AI solutions that enhance our stores and supply chain.",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:4874cbab75b0060741c64423f8deb7d4:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.e33ceca460ceb274e0",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4874cbab75b0060741c64423f8deb7d4",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Sr AI Engineer - Physical AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:4874cbab75b0060741c64423f8deb7d4:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.da0a6842ff4192bc98",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4874cbab75b0060741c64423f8deb7d4",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Sr AI Engineer - Physical AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "cbd8ce1d7c6db7372f85a82d7b5217fc",
      "title": "Frontier Agent Engineering Manager, Enterprise",
      "employer_name": "Scale AI",
      "employer_slug": "scale-ai",
      "location_text": "San Francisco, CA; New York, NY",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 288000,
      "salary_max": 360000,
      "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": 288000,
      "base_salary_max": 360000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cnbc_disruptor50"
      ],
      "posted_at": "2026-01-27T11:48:33.000Z",
      "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4602177005",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Frontier Agent Engineering Manager, Enterprise San Francisco, CA; New York, NY About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment - Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements - Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) - Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows - Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development - Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation - Architect",
      "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": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "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": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d5060bb50fd2bf7de3",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "cbd8ce1d7c6db7372f85a82d7b5217fc",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Frontier Agent Engineering Manager, Enterprise San Francisco, CA; New York, NY About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment - Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements - Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) - Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows - Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development - Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation - Architect",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:cbd8ce1d7c6db7372f85a82d7b5217fc:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6270776f5096b6a859",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "cbd8ce1d7c6db7372f85a82d7b5217fc",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Scale AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:cbd8ce1d7c6db7372f85a82d7b5217fc:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.4b47e2be6f1709cbff",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "cbd8ce1d7c6db7372f85a82d7b5217fc",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Scale AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "435bb24d4138df031680dc7c7407ce45",
      "title": "Agentic AI Engineer — Healthcare AI",
      "employer_name": "Deloitte",
      "employer_slug": "apply-deloitte-com",
      "location_text": "Location not specified",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://apply.deloitte.com/en_US/careers/JobDetail/Agentic-AI-Engineer-Healthcare-AI/355577",
      "apply_url_verified": false,
      "ats": "universal",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Agentic AI Engineer — Healthcare AI Location not specified",
      "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.ea7f5bb8370d5d1fa4",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "435bb24d4138df031680dc7c7407ce45",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Agentic AI Engineer — Healthcare AI Location not specified",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:435bb24d4138df031680dc7c7407ce45:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.a6ccd30e5a49e54215",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "435bb24d4138df031680dc7c7407ce45",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Agentic AI Engineer — Healthcare AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:435bb24d4138df031680dc7c7407ce45:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.a67babecacf8330d91",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "435bb24d4138df031680dc7c7407ce45",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Agentic AI Engineer — Healthcare AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "d6d54ef01b8bd2726b19e47877b72d5a",
      "title": "AI Infrastructure Engineer - AI, Data & Platforms",
      "employer_name": "Stage",
      "employer_slug": "stage",
      "location_text": "Gurugram",
      "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": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://www.kkr.com/careers/career-opportunities/post?gh_jid=6016123004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Infrastructure Engineer - AI, Data & Platforms Gurugram",
      "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": 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.92828c4c9aa36cec6c",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d6d54ef01b8bd2726b19e47877b72d5a",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Infrastructure Engineer - AI, Data & Platforms Gurugram",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d6d54ef01b8bd2726b19e47877b72d5a:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.819cc4e6616c4a914a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d6d54ef01b8bd2726b19e47877b72d5a",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Infrastructure Engineer - AI, Data & Platforms",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d6d54ef01b8bd2726b19e47877b72d5a:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.e438f959ea1f12440e",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d6d54ef01b8bd2726b19e47877b72d5a",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Infrastructure Engineer - AI, Data & Platforms",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "6cecf8d0a4372556ce1f00aa0aa9d891",
      "title": "Sr. Worldwide Partner Specialist - Agentic AI, Data & AI GTM",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "San Francisco, California, 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": 162700,
      "salary_max": 220200,
      "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": 147900,
      "base_salary_max": 200100,
      "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": "2026-04-09T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/10387288/sr-worldwide-partner-specialist-agentic-ai-data-ai-gtm",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sr. Worldwide Partner Specialist - Agentic AI, Data & AI GTM San Francisco, California, USA The AWS Data and AI Strategic Partner GTM team supports the world's most innovative partners - from breakthrough startups to Large Language Model Providers (LLMs) to global tech giants - helping them envision and build the future of autonomous AI systems. The Senior WW Partner GTM Specialist for Agentic AI will be the driving force behind AWS's partner strategy for Agentic AI. Your strategies will shape how businesses evolve in the age of AI agents, your insights will influence product directions at AWS, and your vision will help partners transform their business models for the AI era. This role sits at the intersection of breakthrough technology and business transformation. You'll pioneer new business models in the rapidly evolving AI agent space while working with the most sophisticated AI technologies and partners globally. As a key strategist, you'll shape how AWS and our partners approach autonomous AI systems, building programs that will scale Agentic AI adoption worldwide. Your thought leadership will help define one of technology's most dynamic spaces, influencing how businesses across industries implement and benefit from AI agents. If you're excited about being at the forefront of the AI revolution and want to make a lasting impact on how businesses harness autonomous AI agents, this role offers you the platform, the resources, and the opportunity to shape the future. Key job responsibilities Key Responsibilities: • Collaborate with AWS GenAI partners, helping them envision and",
      "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": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": "Industrial",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e556c8bd9631af33eb",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "6cecf8d0a4372556ce1f00aa0aa9d891",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Sr. Worldwide Partner Specialist - Agentic AI, Data & AI GTM San Francisco, California, USA The AWS Data and AI Strategic Partner GTM team supports the world's most innovative partners - from breakthrough startups to Large Language Model Providers (LLMs) to global tech giants - helping them envision and build the future of autonomous AI systems. The Senior WW Partner GTM Specialist for Agentic AI will be the driving force behind AWS's partner strategy for Agentic AI. Your strategies will shape how businesses evolve in the age of AI agents, your insights will influence product directions at AWS, and your vision will help partners transform their business models for the AI era. This role sits at the intersection of breakthrough technology and business transformation. You'll pioneer new business models in the rapidly evolving AI agent space while working with the most sophisticated AI technologies and partners globally. As a key strategist, you'll shape how AWS and our partners approach autonomous AI systems, building programs that will scale Agentic AI adoption worldwide. Your thought leadership will help define one of technology's most dynamic spaces, influencing how businesses across industries implement and benefit from AI agents. If you're excited about being at the forefront of the AI revolution and want to make a lasting impact on how businesses harness autonomous AI agents, this role offers you the platform, the resources, and the opportunity to shape the future. Key job responsibilities Key Responsibilities: • Collaborate with AWS GenAI partners, helping them envision and",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:6cecf8d0a4372556ce1f00aa0aa9d891:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.734ea9ad08c51f883d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "6cecf8d0a4372556ce1f00aa0aa9d891",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Sr. Worldwide Partner Specialist - Agentic AI, Data & AI GTM",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:6cecf8d0a4372556ce1f00aa0aa9d891:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.cd83f3ad9bb0347a21",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "6cecf8d0a4372556ce1f00aa0aa9d891",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Sr. Worldwide Partner Specialist - Agentic AI, Data & AI GTM",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "bef284e507e6064db5c568a825445a29",
      "title": "AI Solutions Architect – AI & Enterprise Engineering",
      "employer_name": "Bain & Company",
      "employer_slug": "bain",
      "location_text": "Location not specified",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://careers.bain.com/jobs/FolderDetail/Expert-Manager-Lead-Software-AI-Engineering/101920",
      "apply_url_verified": false,
      "ats": "avature",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Solutions Architect – AI & Enterprise Engineering",
      "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.879944af981ae33a7d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "bef284e507e6064db5c568a825445a29",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Solutions Architect – AI & Enterprise Engineering",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:bef284e507e6064db5c568a825445a29:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.bc7205d35d8bf87dcb",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "bef284e507e6064db5c568a825445a29",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Bain & Company",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:bef284e507e6064db5c568a825445a29:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.56fceb9209daebb566",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "bef284e507e6064db5c568a825445a29",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Solutions Architect – AI & Enterprise Engineering",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:bef284e507e6064db5c568a825445a29:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.a673f8e91050cda8a6",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "bef284e507e6064db5c568a825445a29",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Solutions Architect – AI & Enterprise Engineering",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "0a7b325224701d9b197465de4d4ecf8e",
      "title": "Applied AI, Technical Lead, Forward Deployed AI Engineer - Abu Dhabi",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "Abu Dhabi",
      "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": [
        "cbinsights_unicorn",
        "a16z",
        "generalcatalyst"
      ],
      "posted_at": "2026-05-05T15:14:14.018Z",
      "apply_url": "https://jobs.lever.co/mistral/cb2986cc-4768-40b9-9d67-e53d78b247dc",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Applied AI, Technical Lead, Forward Deployed AI Engineer - Abu Dhabi Abu Dhabi About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed across global hubs including France, the USA, the UK, Germany, and Singapore, with growing activity in Abu Dhabi and the wider MENA region. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers. About The Job: Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle-from pre-sales",
      "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": 8,
      "years_experience_max": 12,
      "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": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2603332bb1bf9513d7",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "0a7b325224701d9b197465de4d4ecf8e",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Applied AI, Technical Lead, Forward Deployed AI Engineer - Abu Dhabi Abu Dhabi About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed across global hubs including France, the USA, the UK, Germany, and Singapore, with growing activity in Abu Dhabi and the wider MENA region. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers. About The Job: Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle-from pre-sales",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:0a7b325224701d9b197465de4d4ecf8e:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.70c208093bc1043643",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "0a7b325224701d9b197465de4d4ecf8e",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:0a7b325224701d9b197465de4d4ecf8e:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.e506214e265969ebe0",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "0a7b325224701d9b197465de4d4ecf8e",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Applied AI, Technical Lead, Forward Deployed AI Engineer - Abu Dhabi",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:0a7b325224701d9b197465de4d4ecf8e:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.52c7f88f699519166c",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "0a7b325224701d9b197465de4d4ecf8e",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Applied AI, Technical Lead, Forward Deployed AI Engineer - Abu Dhabi",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "180f76c74485f033c7d3e2e9b16d9fcc",
      "title": "Applied AI, Technical Lead - Forward Deployed AI Engineer",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "New York, NY",
      "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": 6,
      "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",
        "generalcatalyst"
      ],
      "posted_at": "2025-11-30T23:41:16.498Z",
      "apply_url": "https://jobs.lever.co/mistral/ebfdc0da-13fd-4ae9-9861-bedb5ff493ea",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Applied AI, Technical Lead - Forward Deployed AI Engineer New York, NY About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job: Technical Lead, Applied AI Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle-from pre-sales",
      "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": 8,
      "years_experience_max": 12,
      "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": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.31f86c02787a8caad2",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "180f76c74485f033c7d3e2e9b16d9fcc",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Applied AI, Technical Lead - Forward Deployed AI Engineer New York, NY About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job: Technical Lead, Applied AI Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle-from pre-sales",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:180f76c74485f033c7d3e2e9b16d9fcc:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7e8462041357249ba2",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "180f76c74485f033c7d3e2e9b16d9fcc",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:180f76c74485f033c7d3e2e9b16d9fcc:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.9f17fd922e5a6a7cce",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "180f76c74485f033c7d3e2e9b16d9fcc",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Applied AI, Technical Lead - Forward Deployed AI Engineer",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:180f76c74485f033c7d3e2e9b16d9fcc:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.995b78e0ef3f214d7a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "180f76c74485f033c7d3e2e9b16d9fcc",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Applied AI, Technical Lead - Forward Deployed AI Engineer",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "356988a0a0ef760af346c2aaa3a8e5e9",
      "title": "Staff AI Engineer - AI Platform",
      "employer_name": "ClickUp",
      "employer_slug": "clickup",
      "location_text": "United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z"
      ],
      "posted_at": "2026-04-30T18:10:52.743Z",
      "apply_url": "https://jobs.ashbyhq.com/clickup/143d20ff-cc53-4dc0-bc8b-09a7c1bddf87",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff AI Engineer - AI Platform United States At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a highly skilled Staff AI Engineer - AI Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation. Key Responsibilities: - Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. - Apply LLMs and other AI technologies directly to build and enhance ClickUp's intelligent features, working closely with product and engineering teams to deliver impactful solutions. - Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp's core platform. - Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. - Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.022572eb331710e412",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "356988a0a0ef760af346c2aaa3a8e5e9",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff AI Engineer - AI Platform United States At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a highly skilled Staff AI Engineer - AI Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation. Key Responsibilities: - Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. - Apply LLMs and other AI technologies directly to build and enhance ClickUp's intelligent features, working closely with product and engineering teams to deliver impactful solutions. - Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp's core platform. - Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. - Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:356988a0a0ef760af346c2aaa3a8e5e9:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.446e280bd023330d48",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "356988a0a0ef760af346c2aaa3a8e5e9",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Staff AI Engineer - AI Platform",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:356988a0a0ef760af346c2aaa3a8e5e9:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.f95244e4ad2fd2fee0",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "356988a0a0ef760af346c2aaa3a8e5e9",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Staff AI Engineer - AI Platform",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "4ba595431096c3c54f959f39fe61cfa3",
      "title": "Senior Technical Product Manager - AI Platform, Remote",
      "employer_name": "Aledade",
      "employer_slug": "aledade",
      "location_text": "Remote, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": 4,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-03-26T21:36:31.570Z",
      "apply_url": "https://jobs.lever.co/aledade/21787819-6373-4736-8766-d49cc84fd3af",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Technical Product Manager - AI Platform, Remote Remote, United States Aledade is dedicated to transforming value-based care through innovative technology. Our AI Platform team is at the forefront of this mission, building foundational tools, services, and infrastructure that empower internal product teams to seamlessly integrate cutting-edge AI capabilities into Aledade's products and develop powerful internal AI solutions. As a Technical Product Manager on the AI Platform team, you will: Define and deliver the roadmap to drive execution and scale of the AI Platform that supports internal stakeholders and external AI products. Operate at the intersection of machine learning systems, data engineering, and applied healthcare AI. Partner closely with AI engineers, data scientists, and clinical leadership to deliver production-grade systems that support reliable inference pipelines across millions of patient records. Contribute to the improvement of quality and cost of care for over 2 million patients served by Aledade providers. Aledade is dedicated to transforming value-based care through innovative technology. Our AI Platform team is at the forefront of this mission, building foundational tools, services, and infrastructure that empower internal product teams to seamlessly integrate cutting-edge AI capabilities into Aledade's products and develop powerful internal AI solutions. As a Technical Product Manager on the AI Platform team, you will: Define and deliver the roadmap to drive execution and scale of the AI Platform that supports internal stakeholders and external AI products. Operate at the intersection of machine learning systems, data engineering, and applied healthcare AI. Partner closely with AI engineers, data",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": 21,
      "unlimited_pto": false,
      "sabbatical_eligible": true,
      "family_friendly_score": 51,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": 80,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": 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.d2c5abdb1963cb68fa",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4ba595431096c3c54f959f39fe61cfa3",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Technical Product Manager - AI Platform, Remote Remote, United States Aledade is dedicated to transforming value-based care through innovative technology. Our AI Platform team is at the forefront of this mission, building foundational tools, services, and infrastructure that empower internal product teams to seamlessly integrate cutting-edge AI capabilities into Aledade's products and develop powerful internal AI solutions. As a Technical Product Manager on the AI Platform team, you will: Define and deliver the roadmap to drive execution and scale of the AI Platform that supports internal stakeholders and external AI products. Operate at the intersection of machine learning systems, data engineering, and applied healthcare AI. Partner closely with AI engineers, data scientists, and clinical leadership to deliver production-grade systems that support reliable inference pipelines across millions of patient records. Contribute to the improvement of quality and cost of care for over 2 million patients served by Aledade providers. Aledade is dedicated to transforming value-based care through innovative technology. Our AI Platform team is at the forefront of this mission, building foundational tools, services, and infrastructure that empower internal product teams to seamlessly integrate cutting-edge AI capabilities into Aledade's products and develop powerful internal AI solutions. As a Technical Product Manager on the AI Platform team, you will: Define and deliver the roadmap to drive execution and scale of the AI Platform that supports internal stakeholders and external AI products. Operate at the intersection of machine learning systems, data engineering, and applied healthcare AI. Partner closely with AI engineers, data",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:4ba595431096c3c54f959f39fe61cfa3:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.6c95c69dd4824359ea",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4ba595431096c3c54f959f39fe61cfa3",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Technical Product Manager - AI Platform, Remote",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:4ba595431096c3c54f959f39fe61cfa3:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.07f3197f2f41c66f92",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4ba595431096c3c54f959f39fe61cfa3",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Technical Product Manager - AI Platform, Remote",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "79a201a25a3fb68df29d43a6cb47a54e",
      "title": "Senior AI Engineer - AI Platform",
      "employer_name": "ClickUp",
      "employer_slug": "clickup",
      "location_text": "United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z"
      ],
      "posted_at": "2026-04-30T18:05:29.040Z",
      "apply_url": "https://jobs.ashbyhq.com/clickup/04f5dc76-f4d1-4112-9cff-79d3c202c8a6",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior AI Engineer - AI Platform United States At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a skilled and experienced Senior AI Engineer - AI Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation. Key Responsibilities: - Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. - Apply LLMs and other AI technologies directly to build and enhance ClickUp's intelligent features, working closely with product and engineering teams to deliver impactful solutions. - Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp's core platform. - Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. - Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google)",
      "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.7223ba302e98ffdd24",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "79a201a25a3fb68df29d43a6cb47a54e",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior AI Engineer - AI Platform United States At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a skilled and experienced Senior AI Engineer - AI Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation. Key Responsibilities: - Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. - Apply LLMs and other AI technologies directly to build and enhance ClickUp's intelligent features, working closely with product and engineering teams to deliver impactful solutions. - Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp's core platform. - Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. - Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:79a201a25a3fb68df29d43a6cb47a54e:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.b881763ac8f95516dd",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "79a201a25a3fb68df29d43a6cb47a54e",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior AI Engineer - AI Platform",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:79a201a25a3fb68df29d43a6cb47a54e:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.d57a2b1a3ca98e68d9",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "79a201a25a3fb68df29d43a6cb47a54e",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior AI Engineer - AI Platform",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "91461a636df91b56f089ddfa7c407b52",
      "title": "Senior Backend Engineer - AI Platform (f/m/d)",
      "employer_name": "Contentful",
      "employer_slug": "contentful",
      "location_text": "Dublin, Dublin, Ireland",
      "country": "IE",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-04-02T19:28:14.000Z",
      "apply_url": "https://job-boards.greenhouse.io/contentful/jobs/7753183",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Backend Engineer - AI Platform (f/m/d) Dublin, Dublin, Ireland About the opportunity Join Contentful as a Senior AI Software Engineer (f/m/d) and innovate with AI Integrations At Contentful, we empower thousands of customers to manage content at scale with speed, flexibility, and precision. We are seeking talented Senior AI Software Engineers (f/m/d) to join our AI Platform team-a group dedicated to building and maintaining an internal AI platform that accelerates innovation across our organization. As a key contributor, you will help shape the internal AI ecosystem by developing scalable, high-performance AI integrations, APIs, tools and documentation that empower feature teams to efficiently test, deliver and maintain cutting-edge AI-driven products. Acting as both a support and consultancy resource, you'll collaborate closely with feature teams to enhance their development capabilities and bring AI-powered solutions to life. By building intuitive internal tooling and fostering seamless integration of AI technologies, your work will drive efficiency and innovation throughout Contentful. If you are passionate about advancing AI technology, enabling teams with powerful tools, and redefining how we build and deliver AI solutions, we'd love to have you join us. Together, we'll build systems that set new standards for AI integration and empower our teams to create smarter, more impactful content solutions. What to expect? - Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class AI-enabled features for our customers, ensuring seamless integration of AI technologies with existing systems. - Platform Development: Design, develop, and maintain scalable AI platform",
      "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": "engineering",
      "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.e4886b3db6efa0065c",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "91461a636df91b56f089ddfa7c407b52",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Backend Engineer - AI Platform (f/m/d) Dublin, Dublin, Ireland About the opportunity Join Contentful as a Senior AI Software Engineer (f/m/d) and innovate with AI Integrations At Contentful, we empower thousands of customers to manage content at scale with speed, flexibility, and precision. We are seeking talented Senior AI Software Engineers (f/m/d) to join our AI Platform team-a group dedicated to building and maintaining an internal AI platform that accelerates innovation across our organization. As a key contributor, you will help shape the internal AI ecosystem by developing scalable, high-performance AI integrations, APIs, tools and documentation that empower feature teams to efficiently test, deliver and maintain cutting-edge AI-driven products. Acting as both a support and consultancy resource, you'll collaborate closely with feature teams to enhance their development capabilities and bring AI-powered solutions to life. By building intuitive internal tooling and fostering seamless integration of AI technologies, your work will drive efficiency and innovation throughout Contentful. If you are passionate about advancing AI technology, enabling teams with powerful tools, and redefining how we build and deliver AI solutions, we'd love to have you join us. Together, we'll build systems that set new standards for AI integration and empower our teams to create smarter, more impactful content solutions. What to expect? - Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class AI-enabled features for our customers, ensuring seamless integration of AI technologies with existing systems. - Platform Development: Design, develop, and maintain scalable AI platform",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:91461a636df91b56f089ddfa7c407b52:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.103a223a858dcdeed5",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "91461a636df91b56f089ddfa7c407b52",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Backend Engineer - AI Platform (f/m/d)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:91461a636df91b56f089ddfa7c407b52:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.22cd2d9c6b11cbb7b5",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "91461a636df91b56f089ddfa7c407b52",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Backend Engineer - AI Platform (f/m/d)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "b9b08e0c1f3215c52cebb65f92a40b05",
      "title": "Applied AI, Technical Lead, Forward Deployed AI Engineer - EMEA",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "Paris",
      "country": "FR",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z",
        "generalcatalyst"
      ],
      "posted_at": "2025-10-10T16:28:06.590Z",
      "apply_url": "https://jobs.lever.co/mistral/e2cf255f-49c8-4630-afe0-7f665f51f01f",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Applied AI, Technical Lead, Forward Deployed AI Engineer - EMEA Paris About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers. About The Job: Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle-from pre-sales to post-implementation-while collaborating closely with research, product, and engineering teams to shape",
      "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": 8,
      "years_experience_max": 12,
      "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": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8a241541815991f3d8",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "b9b08e0c1f3215c52cebb65f92a40b05",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Applied AI, Technical Lead, Forward Deployed AI Engineer - EMEA Paris About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers. About The Job: Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle-from pre-sales to post-implementation-while collaborating closely with research, product, and engineering teams to shape",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:b9b08e0c1f3215c52cebb65f92a40b05:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5814361f50240d58ff",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "b9b08e0c1f3215c52cebb65f92a40b05",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:b9b08e0c1f3215c52cebb65f92a40b05:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.95f6b0e97cd3e792b6",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "b9b08e0c1f3215c52cebb65f92a40b05",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Applied AI, Technical Lead, Forward Deployed AI Engineer - EMEA",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:b9b08e0c1f3215c52cebb65f92a40b05:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.888a7b074f6ca4820b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "b9b08e0c1f3215c52cebb65f92a40b05",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Applied AI, Technical Lead, Forward Deployed AI Engineer - EMEA",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "bf54d46bb7403045451d1ab78d6768d9",
      "title": "Staff Applied AI Engineer - Pre-Sales",
      "employer_name": "Snorkel AI",
      "employer_slug": "snorkel-ai",
      "location_text": "New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote)",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 6,
      "salary_min": 190000,
      "salary_max": 300000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "ote",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-03-18T04:29:50.000Z",
      "apply_url": "https://job-boards.greenhouse.io/snorkelai/jobs/5831080004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Applied AI Engineer - Pre-Sales New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote) About Snorkel At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About Snorkel We're on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": 25,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": 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.937f8d92b022b2260d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "bf54d46bb7403045451d1ab78d6768d9",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Applied AI Engineer - Pre-Sales New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote) About Snorkel At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About Snorkel We're on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:bf54d46bb7403045451d1ab78d6768d9:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.009fc8ef72ebd375e7",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "bf54d46bb7403045451d1ab78d6768d9",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Snorkel AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:bf54d46bb7403045451d1ab78d6768d9:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.917b7d4ec544ed443c",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "bf54d46bb7403045451d1ab78d6768d9",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Staff Applied AI Engineer - Pre-Sales",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:bf54d46bb7403045451d1ab78d6768d9:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.470d3bed5dd06fa2fc",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "bf54d46bb7403045451d1ab78d6768d9",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Staff Applied AI Engineer - Pre-Sales",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "ccdb100f3a68df3c44c62e2c438c2af2",
      "title": "Applied AI, Technical Lead, Forward Deployed AI Engineer - Montreal",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "Montreal",
      "country": "CA",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z",
        "generalcatalyst"
      ],
      "posted_at": "2026-03-24T15:20:17.922Z",
      "apply_url": "https://jobs.lever.co/mistral/042d7b29-279b-48e2-a44b-c7bdc3180dab",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Applied AI, Technical Lead, Forward Deployed AI Engineer - Montreal Montreal About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers. About The Job: Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle-from pre-sales to post-implementation-while collaborating closely with research, product, and engineering teams to shape",
      "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": 8,
      "years_experience_max": 12,
      "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": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.5b5163dad25c2c6206",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "ccdb100f3a68df3c44c62e2c438c2af2",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Applied AI, Technical Lead, Forward Deployed AI Engineer - Montreal Montreal About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers. About The Job: Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle-from pre-sales to post-implementation-while collaborating closely with research, product, and engineering teams to shape",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:ccdb100f3a68df3c44c62e2c438c2af2:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b3a9d000319665d7d1",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "ccdb100f3a68df3c44c62e2c438c2af2",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:ccdb100f3a68df3c44c62e2c438c2af2:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.f6f2faa9b2a2b8a5ae",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "ccdb100f3a68df3c44c62e2c438c2af2",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Applied AI, Technical Lead, Forward Deployed AI Engineer - Montreal",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:ccdb100f3a68df3c44c62e2c438c2af2:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.654bce97185a0867ab",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "ccdb100f3a68df3c44c62e2c438c2af2",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Applied AI, Technical Lead, Forward Deployed AI Engineer - Montreal",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "d0c9f7210879574f9edda003381234af",
      "title": "Applied AI Engineer - AI Solutions",
      "employer_name": "Snorkel AI",
      "employer_slug": "snorkel-ai",
      "location_text": "New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote)",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "ote",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2025-11-15T00:12:22.000Z",
      "apply_url": "https://job-boards.greenhouse.io/snorkelai/jobs/5709067004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Applied AI Engineer - AI Solutions New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote) About Snorkel At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! The Role As an Applied AI Engineer, you'll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them. You will also help define Snorkel's Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel's next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 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": 25,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": 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.b932a6ffca45d9026d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d0c9f7210879574f9edda003381234af",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Applied AI Engineer - AI Solutions New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote) About Snorkel At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! The Role As an Applied AI Engineer, you'll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them. You will also help define Snorkel's Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel's next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d0c9f7210879574f9edda003381234af:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.974a85f4e1934f7388",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d0c9f7210879574f9edda003381234af",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Snorkel AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d0c9f7210879574f9edda003381234af:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.50a34156acbb56366b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d0c9f7210879574f9edda003381234af",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Applied AI Engineer - AI Solutions",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d0c9f7210879574f9edda003381234af:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.26beefe23415e34239",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d0c9f7210879574f9edda003381234af",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Applied AI Engineer - AI Solutions",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "f4c55fbfb6cb279169546d883791accc",
      "title": "Applied AI, Technical Lead, Forward Deployed AI Engineer - Munich",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "Munich",
      "country": "DE",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z",
        "generalcatalyst"
      ],
      "posted_at": "2026-06-03T09:08:46.556Z",
      "apply_url": "https://jobs.lever.co/mistral/45b0fae3-61ea-4cb0-8cd1-c1bc2a43a84a",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Applied AI, Technical Lead, Forward Deployed AI Engineer - Munich Munich About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers. About The Job: Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle-from pre-sales to post-implementation-while collaborating closely with research, product, and engineering teams to shape",
      "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": 8,
      "years_experience_max": 12,
      "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": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2082c16d0d830eb722",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f4c55fbfb6cb279169546d883791accc",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Applied AI, Technical Lead, Forward Deployed AI Engineer - Munich Munich About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers. About The Job: Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle-from pre-sales to post-implementation-while collaborating closely with research, product, and engineering teams to shape",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:f4c55fbfb6cb279169546d883791accc:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b732e46d6dfe8ac3cb",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f4c55fbfb6cb279169546d883791accc",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:f4c55fbfb6cb279169546d883791accc:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.d523902a12f56e9070",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f4c55fbfb6cb279169546d883791accc",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Applied AI, Technical Lead, Forward Deployed AI Engineer - Munich",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:f4c55fbfb6cb279169546d883791accc:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.be8337dd70f27d636f",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f4c55fbfb6cb279169546d883791accc",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Applied AI, Technical Lead, Forward Deployed AI Engineer - Munich",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "f43c72775769270837f2efd8fa1844aa",
      "title": "Data Scientist AI (D/F/M), DHL Data & AI",
      "employer_name": "Deutsche Post",
      "employer_slug": "deutsche-post",
      "location_text": "Bonn, Nordrhein-Westfalen, Germany",
      "country": "DE",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "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": "2026-04-15T01:00:00.000Z",
      "apply_url": "https://dhlconsulting.avature.net/careers/ApplicationMethods?jobId=583&source=DPDHL+Career+Portal",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Data Scientist AI (D/F/M), DHL Data & AI Bonn, Nordrhein-Westfalen, Germany Creating value at DHL Group through Data & AI innovation! At DHL Data & AI, our team's purpose is to unleash the power of data science, drive cross-business unit AI solutions, foster a data-driven ...",
      "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.cbbcaad5f5e22f0b0f",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f43c72775769270837f2efd8fa1844aa",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Data Scientist AI (D/F/M), DHL Data & AI Bonn, Nordrhein-Westfalen, Germany Creating value at DHL Group through Data & AI innovation! At DHL Data & AI, our team's purpose is to unleash the power of data science, drive cross-business unit AI solutions, foster a data-driven ...",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:f43c72775769270837f2efd8fa1844aa:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.dc82a3078acb5069ab",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f43c72775769270837f2efd8fa1844aa",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Data Scientist AI (D/F/M), DHL Data & AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:f43c72775769270837f2efd8fa1844aa:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.4409a10c8c4b998157",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f43c72775769270837f2efd8fa1844aa",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Data Scientist AI (D/F/M), DHL Data & AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "100d271906588d75b6ff2a6abce88b91",
      "title": "Senior Software Engineer , AI",
      "employer_name": "Forter",
      "employer_slug": "forter",
      "location_text": "Israel - Tel Aviv",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2025-12-08T08:45:07.000Z",
      "apply_url": "https://job-boards.greenhouse.io/forter/jobs/8299310002",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software Engineer , AI Israel - Tel Aviv About the role: Forter is looking for a Senior Software Engineer to join a strong and dynamic AI Engineering team . We are the focal point for AI initiatives in Forter, striving to constantly bring innovation and leverage AI capabilities across all company teams and products. Today, AI is central to how Forter operates, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company. If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position. Why should you join us? This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, we'll build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art AI and Agentic patterns. This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving Forter from the AI experimentation phase to building and leveraging AI-powered products. What you will be doing: - Design, build, and",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "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.fc1594f3414b20ea7a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "100d271906588d75b6ff2a6abce88b91",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Software Engineer , AI Israel - Tel Aviv About the role: Forter is looking for a Senior Software Engineer to join a strong and dynamic AI Engineering team . We are the focal point for AI initiatives in Forter, striving to constantly bring innovation and leverage AI capabilities across all company teams and products. Today, AI is central to how Forter operates, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company. If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position. Why should you join us? This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, we'll build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art AI and Agentic patterns. This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving Forter from the AI experimentation phase to building and leveraging AI-powered products. What you will be doing: - Design, build, and",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:100d271906588d75b6ff2a6abce88b91:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.76de14ed9d3f976989",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "100d271906588d75b6ff2a6abce88b91",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Software Engineer , AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:100d271906588d75b6ff2a6abce88b91:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.8f29d0fb5d44a9791c",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "100d271906588d75b6ff2a6abce88b91",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Software Engineer , AI",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "ec4dddbc581113cf2869ce2f55fbf397",
      "title": "Senior Software AI Engineer",
      "employer_name": "Forter",
      "employer_slug": "forter",
      "location_text": "United Kingdom - London",
      "country": "GB",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-02-10T10:56:10.000Z",
      "apply_url": "https://job-boards.greenhouse.io/forter/jobs/8415897002",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software AI Engineer United Kingdom - London About the role: Forter is looking for a Senior Software Engineer to join a strong and dynamic AI Engineering team . We are the focal point for AI initiatives in Forter, striving to constantly bring innovation and leverage AI capabilities across all company teams and products. Today, AI is central to how Forter operates, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company. If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position. Why should you join us? This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, we'll build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art AI and Agentic patterns. This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving Forter from the AI experimentation phase to building and leveraging AI-powered products. What you will be doing: - Design, build, and maintain",
      "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.3f4c473d11d6f8bc25",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "ec4dddbc581113cf2869ce2f55fbf397",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Software AI Engineer United Kingdom - London About the role: Forter is looking for a Senior Software Engineer to join a strong and dynamic AI Engineering team . We are the focal point for AI initiatives in Forter, striving to constantly bring innovation and leverage AI capabilities across all company teams and products. Today, AI is central to how Forter operates, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company. If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position. Why should you join us? This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, we'll build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art AI and Agentic patterns. This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving Forter from the AI experimentation phase to building and leveraging AI-powered products. What you will be doing: - Design, build, and maintain",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:ec4dddbc581113cf2869ce2f55fbf397:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.47f1a9990f63976c7b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "ec4dddbc581113cf2869ce2f55fbf397",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Software AI Engineer",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:ec4dddbc581113cf2869ce2f55fbf397:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.3756732264e0b8914f",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "ec4dddbc581113cf2869ce2f55fbf397",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Software AI Engineer",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "1e1db3dc89fc47096f69db3f708c814a",
      "title": "Technology Architect - EV",
      "employer_name": "Infosys Consulting",
      "employer_slug": "infosys-consulting",
      "location_text": "Location not specified",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25633&siteid=5439&PageType=JobDetails&jobid=2246576",
      "apply_url_verified": false,
      "ats": "brassring_kenexa",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Technology Architect - EV Role Overview We are looking for a visionary AI Technology Architect to lead enterprise-scale AI transformation initiatives. This role requires deep expertise in Generative AI, Agentic AI systems, AI infrastructure, and cloud-native architectures, with a strong focus on delivering scalable, high-performance AI solutions and driving business impact. This role is critical to driving AI-first enterprise strategy, enabling next-generation capabilities through Agentic AI, LLM ecosystems, and edge intelligence while delivering measurable business value. Key Responsibilities - Define and govern enterprise AI architecture including LLMs, RAG, Agentic AI, and Edge AI systems. - Establish reference architectures for cloud-native AI, GPU-based inferencing, and distributed workloads. - Architect and deploy LLM-powered solutions using RAG, embeddings, vector databases, and orchestration frameworks. - Design Agentic AI workflows leveraging tools such as LangChain, LangGraph, Azure AI, and Databricks. - Lead AI infrastructure strategy including GPU optimization and high-performance compute environments. - Build and scale AI platforms across AWS, Azure, and GCP ecosystems. - Lead development of advanced AI/ML models across NLP, computer vision, graph ML, and forecasting domains. - Architect Edge AI solutions for low-latency, distributed decision-making systems. - Establish governance for responsible AI, security, and compliance. - Mentor teams and drive innovation and capability development. Required Qualifications - 10+ years of experience in AI/ML, Data Science, or Technology Architecture. - Strong expertise in Generative AI, LLMs, RAG, and Agentic AI systems. - Proficient in Python, APIs, microservices, and data engineering frameworks. - Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies.",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": 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": 10,
      "years_experience_max": 14,
      "role_function": "engineering",
      "employer_industry": "Professional Services",
      "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": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.39741371291ce2b089",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "1e1db3dc89fc47096f69db3f708c814a",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Technology Architect - EV Role Overview We are looking for a visionary AI Technology Architect to lead enterprise-scale AI transformation initiatives. This role requires deep expertise in Generative AI, Agentic AI systems, AI infrastructure, and cloud-native architectures, with a strong focus on delivering scalable, high-performance AI solutions and driving business impact. This role is critical to driving AI-first enterprise strategy, enabling next-generation capabilities through Agentic AI, LLM ecosystems, and edge intelligence while delivering measurable business value. Key Responsibilities - Define and govern enterprise AI architecture including LLMs, RAG, Agentic AI, and Edge AI systems. - Establish reference architectures for cloud-native AI, GPU-based inferencing, and distributed workloads. - Architect and deploy LLM-powered solutions using RAG, embeddings, vector databases, and orchestration frameworks. - Design Agentic AI workflows leveraging tools such as LangChain, LangGraph, Azure AI, and Databricks. - Lead AI infrastructure strategy including GPU optimization and high-performance compute environments. - Build and scale AI platforms across AWS, Azure, and GCP ecosystems. - Lead development of advanced AI/ML models across NLP, computer vision, graph ML, and forecasting domains. - Architect Edge AI solutions for low-latency, distributed decision-making systems. - Establish governance for responsible AI, security, and compliance. - Mentor teams and drive innovation and capability development. Required Qualifications - 10+ years of experience in AI/ML, Data Science, or Technology Architecture. - Strong expertise in Generative AI, LLMs, RAG, and Agentic AI systems. - Proficient in Python, APIs, microservices, and data engineering frameworks. - Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies.",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:1e1db3dc89fc47096f69db3f708c814a:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a432e784f7d65dc905",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "1e1db3dc89fc47096f69db3f708c814a",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Technology Architect - EV Role Overview We are looking for a visionary AI Technology Architect to lead enterprise-scale AI transformation initiatives. This role requires deep expertise in Generative AI, Agentic AI systems, AI infrastructure, and cloud-native architectures, with a strong focus on delivering scalable, high-performance AI solutions and driving business impact. This role is critical to driving AI-first enterprise strategy, enabling next-generation capabilities through Agentic AI, LLM ecosystems, and edge intelligence while delivering measurable business value. Key Responsibilities - Define and govern enterprise AI architecture including LLMs, RAG, Agentic AI, and Edge AI systems. - Establish reference architectures for cloud-native AI, GPU-based inferencing, and distributed workloads. - Architect and deploy LLM-powered solutions using RAG, embeddings, vector databases, and orchestration frameworks. - Design Agentic AI workflows leveraging tools such as LangChain, LangGraph, Azure AI, and Databricks. - Lead AI infrastructure strategy including GPU optimization and high-performance compute environments. - Build and scale AI platforms across AWS, Azure, and GCP ecosystems. - Lead development of advanced AI/ML models across NLP, computer vision, graph ML, and forecasting domains. - Architect Edge AI solutions for low-latency, distributed decision-making systems. - Establish governance for responsible AI, security, and compliance. - Mentor teams and drive innovation and capability development. Required Qualifications - 10+ years of experience in AI/ML, Data Science, or Technology Architecture. - Strong expertise in Generative AI, LLMs, RAG, and Agentic AI systems. - Proficient in Python, APIs, microservices, and data engineering frameworks. - Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies.",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "3507d57a99fcd9acd9d09b3c550238b1",
      "title": "Eloquent AI Fellowship Program",
      "employer_name": "Eloquent AI",
      "employer_slug": "eloquentai",
      "location_text": "San Francisco | OnSite",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "onsite",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 5,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/eloquentai/6da20f29-5de4-4c58-9057-05d2937faca7",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Eloquent AI Fellowship Program San Francisco | OnSite MEET ELOQUENT AI At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions-transforming how work gets done in regulated, high-stakes environments. We're already powering some of the world's leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. Accelerate Your AI Career at Eloquent AI The Eloquent AI Fellowship is a high-impact, hands-on program designed for STEM PhDs, post-docs, and early-career AI researchers looking to transition into the world of applied AI. If you're eager to develop, deploy, and optimize AI agents while gaining real-world experience in enterprise AI applications, this program is for you. Through a structured, immersive experience, you'll work alongside AI engineers, product managers, and researchers, gaining exposure to AI model development, MLOps, and conversational AI systems. You'll leave the program ready to take on leadership roles in AI product development, engineering, or research. You'll also have the opportunity to collaborate with Prof. Aldo Lipani, Eloquent AI co-founder,",
      "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": "other",
      "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.9c7ada4bea4b7f2516",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3507d57a99fcd9acd9d09b3c550238b1",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Eloquent AI Fellowship Program San Francisco | OnSite MEET ELOQUENT AI At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions-transforming how work gets done in regulated, high-stakes environments. We're already powering some of the world's leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. Accelerate Your AI Career at Eloquent AI The Eloquent AI Fellowship is a high-impact, hands-on program designed for STEM PhDs, post-docs, and early-career AI researchers looking to transition into the world of applied AI. If you're eager to develop, deploy, and optimize AI agents while gaining real-world experience in enterprise AI applications, this program is for you. Through a structured, immersive experience, you'll work alongside AI engineers, product managers, and researchers, gaining exposure to AI model development, MLOps, and conversational AI systems. You'll leave the program ready to take on leadership roles in AI product development, engineering, or research. You'll also have the opportunity to collaborate with Prof. Aldo Lipani, Eloquent AI co-founder,",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:3507d57a99fcd9acd9d09b3c550238b1:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6a60f686126a5f1df2",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3507d57a99fcd9acd9d09b3c550238b1",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Eloquent AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:3507d57a99fcd9acd9d09b3c550238b1:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.90f06984dc3b0983cc",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3507d57a99fcd9acd9d09b3c550238b1",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Eloquent AI Fellowship Program",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:3507d57a99fcd9acd9d09b3c550238b1:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.431bded1a089408a52",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3507d57a99fcd9acd9d09b3c550238b1",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Eloquent AI Fellowship Program",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "612293029efd697a7a47993eaa6f8c6a",
      "title": "Data Scientist (AI Security)",
      "employer_name": "Thales",
      "employer_slug": "thales",
      "location_text": "Bangalore, Karnātaka, India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-10T00:00:00.000Z",
      "apply_url": "https://thales.wd3.myworkdayjobs.com/Careers/job/Bangalore---Indraprastha/Data-Scientist--AI-Security-_R0320681-1/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Data Scientist (AI Security) Bangalore, Karnātaka, India Exciting opportunity for a Data Scientist (AI Security) to join Thales's AI Protection team in Bangalore. Design and maintain high-quality datasets and evaluation frameworks to secure next-generation AI and generative AI platforms. Collaborate with top researchers and engineers to advance AI firewall solutions and combat emerging security threats.",
      "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.bba83cb9d723aed7ea",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "612293029efd697a7a47993eaa6f8c6a",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Data Scientist (AI Security) Bangalore, Karnātaka, India Exciting opportunity for a Data Scientist (AI Security) to join Thales's AI Protection team in Bangalore. Design and maintain high-quality datasets and evaluation frameworks to secure next-generation AI and generative AI platforms. Collaborate with top researchers and engineers to advance AI firewall solutions and combat emerging security threats.",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:612293029efd697a7a47993eaa6f8c6a:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.b945a3d7e66dc86090",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "612293029efd697a7a47993eaa6f8c6a",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Data Scientist (AI Security)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:612293029efd697a7a47993eaa6f8c6a:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.46a3a8194924a7e1da",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "612293029efd697a7a47993eaa6f8c6a",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Data Scientist (AI Security)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "0c4597558f262a84e8954fda0261be48",
      "title": "AI Solution Architect - AI Studio",
      "employer_name": "Guidehouse",
      "employer_slug": "guidehouse",
      "location_text": "IN - Chennai",
      "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": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://guidehouse.wd1.myworkdayjobs.com/External/job/IN---Chennai/AI-Solution-Architect---AI-Studio_39189",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Solution Architect - AI Studio IN - Chennai 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": "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.7cebf3100776ee33c7",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "0c4597558f262a84e8954fda0261be48",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Solution Architect - AI Studio IN - Chennai posted: Posted 30+ Days Ago",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:0c4597558f262a84e8954fda0261be48:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.701ff9a39b659b4ceb",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "0c4597558f262a84e8954fda0261be48",
          "signal_type": "query_match",
          "display_text": "Location: \"ai\"",
          "tooltip": "Location matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "IN - Chennai",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:0c4597558f262a84e8954fda0261be48:location:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.be877b5301225bc053",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "0c4597558f262a84e8954fda0261be48",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Solution Architect - AI Studio",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:0c4597558f262a84e8954fda0261be48:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.7147084398093124cc",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "0c4597558f262a84e8954fda0261be48",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Solution Architect - AI Studio",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "3034d6aa77c0ed05df90bc799fcd60ee",
      "title": "AI Architect (Agentic AI)",
      "employer_name": "Kyndryl",
      "employer_slug": "kyndryl",
      "location_text": "Madrid, Spain",
      "country": "ES",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": 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": "2026-05-29T00:00:00.000Z",
      "apply_url": "https://kyndryl.wd5.myworkdayjobs.com/KyndrylProfessionalCareers/job/Madrid-Spain/Senior-AI-Architect-Transformation_R-60811",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Architect (Agentic AI) Madrid, Spain posted: Posted 14 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.f6d193346ce9d6ce6b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3034d6aa77c0ed05df90bc799fcd60ee",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Architect (Agentic AI) Madrid, Spain posted: Posted 14 Days Ago",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:3034d6aa77c0ed05df90bc799fcd60ee:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.77aa3995a1ae4ddda0",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3034d6aa77c0ed05df90bc799fcd60ee",
          "signal_type": "query_match",
          "display_text": "Location: \"ai\"",
          "tooltip": "Location matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Madrid, Spain",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:3034d6aa77c0ed05df90bc799fcd60ee:location:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.6623f2592872ea562a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3034d6aa77c0ed05df90bc799fcd60ee",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Architect (Agentic AI)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:3034d6aa77c0ed05df90bc799fcd60ee:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.132a2aafc4e1eb6c6c",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3034d6aa77c0ed05df90bc799fcd60ee",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Architect (Agentic AI)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "d6ffdb5ee97135351f1c6225af47e7bf",
      "title": "AI Engineer / AI Developer",
      "employer_name": "NetApp, Inc.",
      "employer_slug": "netapp-inc",
      "location_text": "Bangalore, India Office (BANGALORE)",
      "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://netapp.eightfold.ai/careers/job/42181682",
      "apply_url_verified": false,
      "ats": "eightfold",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Engineer / AI Developer Bangalore, India Office (BANGALORE)",
      "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": "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.9da7c6c8767e544b78",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d6ffdb5ee97135351f1c6225af47e7bf",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Engineer / AI Developer Bangalore, India Office (BANGALORE)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d6ffdb5ee97135351f1c6225af47e7bf:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.88be6408e31cecce8d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d6ffdb5ee97135351f1c6225af47e7bf",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Engineer / AI Developer",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:d6ffdb5ee97135351f1c6225af47e7bf:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.f24cca97ccc80b1c50",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "d6ffdb5ee97135351f1c6225af47e7bf",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Engineer / AI Developer",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "312884e12aca3bed0c9ac375b31298db",
      "title": "AI Deployment Strategist - Spain",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "Madrid",
      "country": "ES",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z",
        "generalcatalyst"
      ],
      "posted_at": "2025-09-26T16:51:17.207Z",
      "apply_url": "https://jobs.lever.co/mistral/2aaf3b8e-3bee-46b7-9942-70351e63007f",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Deployment Strategist - Spain Madrid About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This",
      "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": "other",
      "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": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7f9d3e111f9b70ed06",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "312884e12aca3bed0c9ac375b31298db",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Deployment Strategist - Spain Madrid About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:312884e12aca3bed0c9ac375b31298db:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.4715c35287f9a9dbeb",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "312884e12aca3bed0c9ac375b31298db",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:312884e12aca3bed0c9ac375b31298db:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.72624ff9e11bef9d26",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "312884e12aca3bed0c9ac375b31298db",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - Spain",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:312884e12aca3bed0c9ac375b31298db:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.c57ea66ce3a2268697",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "312884e12aca3bed0c9ac375b31298db",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - Spain",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "3dde5845db845f521a3fc9b230262ff7",
      "title": "AI Deployment Strategist - Luxembourg",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "Luxembourg",
      "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": [
        "cbinsights_unicorn",
        "a16z",
        "generalcatalyst"
      ],
      "posted_at": "2025-10-06T09:41:23.087Z",
      "apply_url": "https://jobs.lever.co/mistral/bb02882b-fb2e-4d06-9d5e-bd7654eee8e7",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Deployment Strategist - Luxembourg Luxembourg About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This",
      "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": "other",
      "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.777b00021b8d3fa35a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3dde5845db845f521a3fc9b230262ff7",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Deployment Strategist - Luxembourg Luxembourg About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:3dde5845db845f521a3fc9b230262ff7:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.bb4692cadefc80dfe6",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3dde5845db845f521a3fc9b230262ff7",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:3dde5845db845f521a3fc9b230262ff7:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.b68d5884c0bc4da762",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3dde5845db845f521a3fc9b230262ff7",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - Luxembourg",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:3dde5845db845f521a3fc9b230262ff7:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.c841393c42370984fa",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "3dde5845db845f521a3fc9b230262ff7",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - Luxembourg",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "4208a6c48710403ab4fca2d021baed23",
      "title": "AI Deployment Strategist - Marseille",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "Marseille",
      "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": "EUR",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z",
        "generalcatalyst"
      ],
      "posted_at": "2025-12-12T11:55:18.063Z",
      "apply_url": "https://jobs.lever.co/mistral/0cde829a-c9b9-4ee1-827f-9bd30c1810fc",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Deployment Strategist - Marseille Marseille About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This",
      "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": "other",
      "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": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f233ac6960e074bca0",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4208a6c48710403ab4fca2d021baed23",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Deployment Strategist - Marseille Marseille About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:4208a6c48710403ab4fca2d021baed23:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ec489802103279daf5",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4208a6c48710403ab4fca2d021baed23",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:4208a6c48710403ab4fca2d021baed23:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.1bbeb8f4b4767d744d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4208a6c48710403ab4fca2d021baed23",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - Marseille",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:4208a6c48710403ab4fca2d021baed23:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.c0cecd049c71615ee2",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4208a6c48710403ab4fca2d021baed23",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - Marseille",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "47bbe01161924b61a11ded05df6770ce",
      "title": "Applied AI Engineer, Senior/Staff Fullstack Software Engineer - Singapore",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "Singapore",
      "country": "SG",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z",
        "generalcatalyst"
      ],
      "posted_at": "2026-03-09T10:50:14.715Z",
      "apply_url": "https://jobs.lever.co/mistral/5538042e-f157-4a2c-a9ee-e412de9ba761",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Applied AI Engineer, Senior/Staff Fullstack Software Engineer - Singapore Singapore About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer - Software Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. What you will do • Collaborate closely with researchers, AI engineers, and product engineers",
      "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.cfaeb3bcc10a6ea991",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "47bbe01161924b61a11ded05df6770ce",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Applied AI Engineer, Senior/Staff Fullstack Software Engineer - Singapore Singapore About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer - Software Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. What you will do • Collaborate closely with researchers, AI engineers, and product engineers",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:47bbe01161924b61a11ded05df6770ce:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.eb0f183fb529ee993b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "47bbe01161924b61a11ded05df6770ce",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:47bbe01161924b61a11ded05df6770ce:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.35b1fb1b446c7c337c",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "47bbe01161924b61a11ded05df6770ce",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Applied AI Engineer, Senior/Staff Fullstack Software Engineer - Singapore",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:47bbe01161924b61a11ded05df6770ce:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.f20b7da2beaf8209fa",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "47bbe01161924b61a11ded05df6770ce",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Applied AI Engineer, Senior/Staff Fullstack Software Engineer - Singapore",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "4d88698a0a60121e690b229b6e5f9579",
      "title": "AI Deployment Strategist - Netherlands",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "Amsterdam",
      "country": "NL",
      "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": "EUR",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z",
        "generalcatalyst"
      ],
      "posted_at": "2025-08-22T16:22:20.901Z",
      "apply_url": "https://jobs.lever.co/mistral/2aaf4e18-0943-4ebe-914d-cc9e32db8834",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Deployment Strategist - Netherlands Amsterdam About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This",
      "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": "other",
      "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.35123f1c6acf46ec1e",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4d88698a0a60121e690b229b6e5f9579",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Deployment Strategist - Netherlands Amsterdam About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:4d88698a0a60121e690b229b6e5f9579:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d4f0f6a8a9b1dbbbf3",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4d88698a0a60121e690b229b6e5f9579",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:4d88698a0a60121e690b229b6e5f9579:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.40342e019f2b800266",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4d88698a0a60121e690b229b6e5f9579",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - Netherlands",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:4d88698a0a60121e690b229b6e5f9579:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.be2666c841676c9833",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "4d88698a0a60121e690b229b6e5f9579",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - Netherlands",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "5833412e8e37bd2bb698534b3e9724bf",
      "title": "AI Consultant, Mexico",
      "employer_name": "Glia",
      "employer_slug": "glia",
      "location_text": "Mexico",
      "country": "MX",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-04-14T15:44:07.468Z",
      "apply_url": "https://jobs.ashbyhq.com/glia/e4ae2fe9-69de-4200-bfee-3abde8a3beb3",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Consultant, Mexico Mexico About Glia Glia is the leading AI customer service solution for banks and credit unions. Our platform unifies AI and human agents across every voice and digital conversation through our proprietary ChannelLess® Architecture. With AI for All™, organizations overcome the tradeoff between efficiency and experience by using AI to automate conversations and elevate service operations. Valued at over $1 billion and named a Deloitte Technology Fast 500™ company for five consecutive years, Glia powers over 700 financial institutions and maintains an industry-leading 72 NPS. We're also certified as a Great Place to Work, with 98% employee satisfaction. About the Role: Glia is revolutionizing Customer Service through AI, and we're looking for AI evangelists to join our team. This role combines AI expertise with strategic consulting to help organizations successfully integrate and maximize their AI investments. This role offers the opportunity to shape the future of AI implementation across various industries while working with cutting-edge technologies and solving complex business challenges through AI innovation. As an AI Consultant at Glia, you will have the opportunity to work with diverse clients, addressing their challenges and contributing to the success of their AI strategies. Your expertise will help shape exceptional customer experiences and foster long-lasting partnerships with Glia's clients. What You'll Do: - Drive customer adoption, usage, and renewal of Glia's AI features. - Empower and enable our customers to grow their knowledge and appreciation of AI through the development and execution of training initiatives for client teams. -",
      "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.7ad5f44ddebc033843",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "5833412e8e37bd2bb698534b3e9724bf",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Consultant, Mexico Mexico About Glia Glia is the leading AI customer service solution for banks and credit unions. Our platform unifies AI and human agents across every voice and digital conversation through our proprietary ChannelLess® Architecture. With AI for All™, organizations overcome the tradeoff between efficiency and experience by using AI to automate conversations and elevate service operations. Valued at over $1 billion and named a Deloitte Technology Fast 500™ company for five consecutive years, Glia powers over 700 financial institutions and maintains an industry-leading 72 NPS. We're also certified as a Great Place to Work, with 98% employee satisfaction. About the Role: Glia is revolutionizing Customer Service through AI, and we're looking for AI evangelists to join our team. This role combines AI expertise with strategic consulting to help organizations successfully integrate and maximize their AI investments. This role offers the opportunity to shape the future of AI implementation across various industries while working with cutting-edge technologies and solving complex business challenges through AI innovation. As an AI Consultant at Glia, you will have the opportunity to work with diverse clients, addressing their challenges and contributing to the success of their AI strategies. Your expertise will help shape exceptional customer experiences and foster long-lasting partnerships with Glia's clients. What You'll Do: - Drive customer adoption, usage, and renewal of Glia's AI features. - Empower and enable our customers to grow their knowledge and appreciation of AI through the development and execution of training initiatives for client teams. -",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:5833412e8e37bd2bb698534b3e9724bf:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.ef1538b47c064995d8",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "5833412e8e37bd2bb698534b3e9724bf",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Consultant, Mexico",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:5833412e8e37bd2bb698534b3e9724bf:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.96ed75f2d44ed79021",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "5833412e8e37bd2bb698534b3e9724bf",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Consultant, Mexico",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "8e1a8061a52d21f9267343e42a6c5ef6",
      "title": "Applied AI Engineer - Federal (TS Required)",
      "employer_name": "Snorkel AI",
      "employer_slug": "snorkel-ai",
      "location_text": "United States (Remote); Washington, D.C. (Remote)",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": 170000,
      "salary_max": 300000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "ote",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2025-11-25T04:19:46.000Z",
      "apply_url": "https://job-boards.greenhouse.io/snorkelai/jobs/5721276004",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Applied AI Engineer - Federal (TS Required) United States (Remote); Washington, D.C. (Remote) About Snorkel At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! As an Applied AI Engineer, you'll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them. You will also help define Snorkel's Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel's next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who",
      "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": 55,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": 25,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "top_secret",
      "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.535203df6856a2a30b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8e1a8061a52d21f9267343e42a6c5ef6",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Applied AI Engineer - Federal (TS Required) United States (Remote); Washington, D.C. (Remote) About Snorkel At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! As an Applied AI Engineer, you'll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them. You will also help define Snorkel's Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel's next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:8e1a8061a52d21f9267343e42a6c5ef6:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.271f2bdf4de16bd8ff",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8e1a8061a52d21f9267343e42a6c5ef6",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Snorkel AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:8e1a8061a52d21f9267343e42a6c5ef6:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.270cad0439c1316a41",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8e1a8061a52d21f9267343e42a6c5ef6",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Applied AI Engineer - Federal (TS Required)",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:8e1a8061a52d21f9267343e42a6c5ef6:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.54415382637189bcc4",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8e1a8061a52d21f9267343e42a6c5ef6",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Applied AI Engineer - Federal (TS Required)",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "8e5b86d15ad0afe08a847a1b05df2473",
      "title": "AI Deployment Strategist - Paris",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "Paris",
      "country": "FR",
      "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": "EUR",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z",
        "generalcatalyst"
      ],
      "posted_at": "2025-09-29T16:56:48.035Z",
      "apply_url": "https://jobs.lever.co/mistral/f9697798-31f8-4809-87b6-05eeb5261353",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Deployment Strategist - Paris Paris About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This",
      "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": "other",
      "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": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.79e11843424b8943f7",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8e5b86d15ad0afe08a847a1b05df2473",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Deployment Strategist - Paris Paris About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:8e5b86d15ad0afe08a847a1b05df2473:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8fa6499c1bb1f81246",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8e5b86d15ad0afe08a847a1b05df2473",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:8e5b86d15ad0afe08a847a1b05df2473:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.b5c7abd7ad28254a4b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8e5b86d15ad0afe08a847a1b05df2473",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - Paris",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:8e5b86d15ad0afe08a847a1b05df2473:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.3b524b9cee730c995a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8e5b86d15ad0afe08a847a1b05df2473",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - Paris",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "8ec503bbe123d744a73a8808c6663bb8",
      "title": "AI Data Engineer",
      "employer_name": "Apple",
      "employer_slug": "apple",
      "location_text": "Cupertino, United States of America",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 203300,
      "salary_max": 305600,
      "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": 203300,
      "base_salary_max": 305600,
      "salary_disclosed": true,
      "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": "2026-05-07T14:47:59.879Z",
      "apply_url": "https://jobs.apple.com/en-us/details/200660980/ai-data-engineer?team=CORSV",
      "apply_url_verified": false,
      "ats": "apple_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Data Engineer Cupertino, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Are you passionate about building the data pipelines that make AI systems fast, accurate, and reliable? Do you thrive on engineering clean data flows that connect enterprise systems to intelligent applications? Can you build infrastructure that's both production-grade and purpose-built for AI consumption? The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization - and every AI system is only as good as the data flowing into it. The AI Data Engineer owns the pipelines, data feeds, and integration infrastructure that ensure AI applications have the right data, in the right form, at the right time. The AI Data Engineer builds and maintains the data infrastructure that powers AI applications across Legal Operations. You will design and implement data pipelines that ingest from legal systems, transform data into AI-ready formats, load vector databases and other AI stores, and expose data services through APIs. This role is embedded within the AI team and works in close partnership with AI and data colleagues to ensure AI systems have reliable, high-quality data at every stage. • Design and implement data pipelines that ingest, transform, and deliver data from legal systems (matter management, eBilling, CLM, document management) to AI applications •",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 4,
      "years_experience_max": 8,
      "role_function": "data",
      "employer_industry": "Technology",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a425fe5a1a501bce38",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8ec503bbe123d744a73a8808c6663bb8",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Data Engineer Cupertino, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Are you passionate about building the data pipelines that make AI systems fast, accurate, and reliable? Do you thrive on engineering clean data flows that connect enterprise systems to intelligent applications? Can you build infrastructure that's both production-grade and purpose-built for AI consumption? The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization - and every AI system is only as good as the data flowing into it. The AI Data Engineer owns the pipelines, data feeds, and integration infrastructure that ensure AI applications have the right data, in the right form, at the right time. The AI Data Engineer builds and maintains the data infrastructure that powers AI applications across Legal Operations. You will design and implement data pipelines that ingest from legal systems, transform data into AI-ready formats, load vector databases and other AI stores, and expose data services through APIs. This role is embedded within the AI team and works in close partnership with AI and data colleagues to ensure AI systems have reliable, high-quality data at every stage. • Design and implement data pipelines that ingest, transform, and deliver data from legal systems (matter management, eBilling, CLM, document management) to AI applications •",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:8ec503bbe123d744a73a8808c6663bb8:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.02a2b16c8be19ba541",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8ec503bbe123d744a73a8808c6663bb8",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Data Engineer",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:8ec503bbe123d744a73a8808c6663bb8:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.c8bd05553df3845428",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8ec503bbe123d744a73a8808c6663bb8",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Data Engineer",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.649a4a2b12741200dd",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "8ec503bbe123d744a73a8808c6663bb8",
          "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": "98a50e35355af14753cb22885f27233e",
      "title": "Applied AI Engineer, Fullstack Software Engineer - EMEA",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "Paris",
      "country": "FR",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z",
        "generalcatalyst"
      ],
      "posted_at": "2025-11-24T10:52:15.652Z",
      "apply_url": "https://jobs.lever.co/mistral/aceffeba-c4e9-4b3b-adff-e7e78b986c5c",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Applied AI Engineer, Fullstack Software Engineer - EMEA Paris About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer - Software Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. What you will do • Collaborate closely with researchers, AI engineers, and product engineers on",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "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": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b1f0433210fb5eba7e",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "98a50e35355af14753cb22885f27233e",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Applied AI Engineer, Fullstack Software Engineer - EMEA Paris About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer - Software Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. What you will do • Collaborate closely with researchers, AI engineers, and product engineers on",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:98a50e35355af14753cb22885f27233e:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e77c168df34c3152cb",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "98a50e35355af14753cb22885f27233e",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:98a50e35355af14753cb22885f27233e:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.bd6a4c98f78b54c4c3",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "98a50e35355af14753cb22885f27233e",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Applied AI Engineer, Fullstack Software Engineer - EMEA",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:98a50e35355af14753cb22885f27233e:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.103f260eb89d50ab8b",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "98a50e35355af14753cb22885f27233e",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Applied AI Engineer, Fullstack Software Engineer - EMEA",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "cc9966b6be28e6d5f02aba4ab2800009",
      "title": "Associate AI Deployment Strategist",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "Paris",
      "country": "FR",
      "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": "EUR",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z",
        "generalcatalyst"
      ],
      "posted_at": "2026-02-09T13:08:36.490Z",
      "apply_url": "https://jobs.lever.co/mistral/4d689780-4995-4fe5-9b7e-e8c28a180397",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Associate AI Deployment Strategist Paris About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : Associate AI Deployment Strategist As an Associate AI Deployment Strategist, you will support the adoption and deployment of Mistral's AI solutions, working closely with customers and internal teams to bridge the gap between strategic vision and practical implementation. This role is ideal for early-career professionals eager to learn, grow, and contribute to transformative AI projects in a collaborative environment. You will assist in designing AI roadmaps, collaborating with the Solution team to deliver solutions, and ensuring smooth transitions from presales to postsales. Your work will directly contribute to customer success, helping turn AI potential into",
      "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": "other",
      "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": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c4a0ce9f3becff4276",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "cc9966b6be28e6d5f02aba4ab2800009",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Associate AI Deployment Strategist Paris About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : Associate AI Deployment Strategist As an Associate AI Deployment Strategist, you will support the adoption and deployment of Mistral's AI solutions, working closely with customers and internal teams to bridge the gap between strategic vision and practical implementation. This role is ideal for early-career professionals eager to learn, grow, and contribute to transformative AI projects in a collaborative environment. You will assist in designing AI roadmaps, collaborating with the Solution team to deliver solutions, and ensuring smooth transitions from presales to postsales. Your work will directly contribute to customer success, helping turn AI potential into",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:cc9966b6be28e6d5f02aba4ab2800009:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a9056e9abf769ab756",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "cc9966b6be28e6d5f02aba4ab2800009",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:cc9966b6be28e6d5f02aba4ab2800009:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.e3e4f0adc8209d6cee",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "cc9966b6be28e6d5f02aba4ab2800009",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Associate AI Deployment Strategist",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:cc9966b6be28e6d5f02aba4ab2800009:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.8b9b066bf99516f143",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "cc9966b6be28e6d5f02aba4ab2800009",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Associate AI Deployment Strategist",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "dd10cbd05dbfcdb5eaaad591ad259613",
      "title": "AI Deployment Strategist - Sweden",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "Stockholm",
      "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": [
        "cbinsights_unicorn",
        "a16z",
        "generalcatalyst"
      ],
      "posted_at": "2026-03-11T13:48:16.951Z",
      "apply_url": "https://jobs.lever.co/mistral/ffbb8f6c-67de-4b25-b37c-0eafd11e7b4f",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Deployment Strategist - Sweden Stockholm About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This",
      "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": "other",
      "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.a58728438bb644b127",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "dd10cbd05dbfcdb5eaaad591ad259613",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Deployment Strategist - Sweden Stockholm About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:dd10cbd05dbfcdb5eaaad591ad259613:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.715b8ef9af1c4583ac",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "dd10cbd05dbfcdb5eaaad591ad259613",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:dd10cbd05dbfcdb5eaaad591ad259613:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.50eacff2fb190940e5",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "dd10cbd05dbfcdb5eaaad591ad259613",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - Sweden",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:dd10cbd05dbfcdb5eaaad591ad259613:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.1f16d1bbccdb4cf4bb",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "dd10cbd05dbfcdb5eaaad591ad259613",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - Sweden",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "e0be9da220a7678a1156eae7a96a768a",
      "title": "AI Deployment Strategist - UK",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "London",
      "country": "GB",
      "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": "GBP",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z",
        "generalcatalyst"
      ],
      "posted_at": "2025-09-01T12:07:46.730Z",
      "apply_url": "https://jobs.lever.co/mistral/e59555e3-899d-4e1e-875f-90b825bc1e28",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Deployment Strategist - UK London About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This",
      "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": "other",
      "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": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2b2b3aa68e0c26c76a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e0be9da220a7678a1156eae7a96a768a",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Deployment Strategist - UK London About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e0be9da220a7678a1156eae7a96a768a:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b7ee62f35b81926f3a",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e0be9da220a7678a1156eae7a96a768a",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e0be9da220a7678a1156eae7a96a768a:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.b16af8c2f7ecc87ce9",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e0be9da220a7678a1156eae7a96a768a",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - UK",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e0be9da220a7678a1156eae7a96a768a:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.3511c0e80a256d8600",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e0be9da220a7678a1156eae7a96a768a",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - UK",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "e71ed74d8d89973a4f194ffea358471b",
      "title": "AI Deployment Strategist - Morocco",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "Casablanca",
      "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": [
        "cbinsights_unicorn",
        "a16z",
        "generalcatalyst"
      ],
      "posted_at": "2025-11-03T13:03:10.982Z",
      "apply_url": "https://jobs.lever.co/mistral/8f93bac1-1885-41ea-8650-cb5454be97e7",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Deployment Strategist - Morocco Casablanca About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This",
      "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": "other",
      "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.e4e3f57a9a020ae8f4",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e71ed74d8d89973a4f194ffea358471b",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Deployment Strategist - Morocco Casablanca About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e71ed74d8d89973a4f194ffea358471b:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d8006d2c9547c0877d",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e71ed74d8d89973a4f194ffea358471b",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e71ed74d8d89973a4f194ffea358471b:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.ac3672369d24247142",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e71ed74d8d89973a4f194ffea358471b",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - Morocco",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:e71ed74d8d89973a4f194ffea358471b:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.8b8e11332fa1f5c659",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "e71ed74d8d89973a4f194ffea358471b",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - Morocco",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "f557024037a0722f43b0dcfb9f190bac",
      "title": "AI Deployment Strategist, Cybersecurity - EMEA",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "Paris",
      "country": "FR",
      "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": "EUR",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z",
        "generalcatalyst"
      ],
      "posted_at": "2026-04-16T15:28:32.684Z",
      "apply_url": "https://jobs.lever.co/mistral/d9f2767e-cdab-4e07-9944-20bbc468613d",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Deployment Strategist, Cybersecurity - EMEA Paris About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution.",
      "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": "other",
      "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": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.4ca757d6afabf6b6bf",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f557024037a0722f43b0dcfb9f190bac",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Deployment Strategist, Cybersecurity - EMEA Paris About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution.",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:f557024037a0722f43b0dcfb9f190bac:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7f70bbea2e0148b031",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f557024037a0722f43b0dcfb9f190bac",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:f557024037a0722f43b0dcfb9f190bac:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.29f154f5e76dd79776",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f557024037a0722f43b0dcfb9f190bac",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Deployment Strategist, Cybersecurity - EMEA",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:f557024037a0722f43b0dcfb9f190bac:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.c6c397cf07585ab2a9",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f557024037a0722f43b0dcfb9f190bac",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Deployment Strategist, Cybersecurity - EMEA",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "f6530858b4fa9b242a0cd1e3cbe0affd",
      "title": "AI Deployment Strategist - Munich, Germany",
      "employer_name": "Mistral AI",
      "employer_slug": "mistral-ai",
      "location_text": "Munich",
      "country": "DE",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z",
        "generalcatalyst"
      ],
      "posted_at": "2024-12-16T16:40:35.065Z",
      "apply_url": "https://jobs.lever.co/mistral/1937a5af-2c9b-4a75-bb91-b06ebe714dbd",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Deployment Strategist - Munich, Germany Munich About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution.",
      "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": "other",
      "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": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.4321a549874cb44f54",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f6530858b4fa9b242a0cd1e3cbe0affd",
          "signal_type": "query_match",
          "display_text": "Description: \"ai\"",
          "tooltip": "Description matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Deployment Strategist - Munich, Germany Munich About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution.",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:f6530858b4fa9b242a0cd1e3cbe0affd:description:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1a5ce2e93426494620",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f6530858b4fa9b242a0cd1e3cbe0affd",
          "signal_type": "query_match",
          "display_text": "Employer: \"ai\"",
          "tooltip": "Employer matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Mistral AI",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:f6530858b4fa9b242a0cd1e3cbe0affd:employer:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.5fe94c6ffb6223abc0",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f6530858b4fa9b242a0cd1e3cbe0affd",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title matched \"ai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - Munich, Germany",
          "matched_input": "ai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_6846f3be6666bbf4834b:f6530858b4fa9b242a0cd1e3cbe0affd:title:ai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.bf1913817ce6d84c85",
          "query_id": "gq_6846f3be6666bbf4834b",
          "job_id": "f6530858b4fa9b242a0cd1e3cbe0affd",
          "signal_type": "query_match",
          "display_text": "Title: \"ai\"",
          "tooltip": "Title contains \"ai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Deployment Strategist - Munich, Germany",
          "matched_input": "ai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    }
  ],
  "total": 100,
  "page": 1,
  "per_page": 100,
  "applied_filters": {
    "q": "Altana AI"
  },
  "hidden_unknown_benefits_count": 0,
  "hidden_quality_floor_count": 0,
  "quality_floor": "default",
  "search_profile": {
    "profile_id": "inv382.d6.pg_textsearch_bge_small_rrf.v1",
    "bm25_extension": "pg_textsearch",
    "vector_model": "BAAI/bge-small-en-v1.5",
    "vector_model_version": "v1.5",
    "fusion_method": "rrf"
  },
  "explanation_context": {
    "non_trivial_query": true,
    "query_terms": [
      "altana",
      "ai"
    ],
    "active_filter_keys": [],
    "visible_signal_limit": 3,
    "visible_trust_limit": 2
  },
  "event_context": null
}