{
  "slug": "arena",
  "canonical_name": "Arena",
  "website": "https://arena.ai",
  "ats": "ashby",
  "top_startup": true,
  "top_startup_sources": [
    "a16z"
  ],
  "total_active_jobs": 16,
  "verified_benefits": {
    "parental_leave_weeks": null,
    "non_birth_parent_leave_weeks": null,
    "source_url": null,
    "source_label": null,
    "verified_count": 0,
    "last_verified": null
  },
  "awards": null,
  "jobs": [
    {
      "id": "03ea51d0367ecabed8669f36401fe18e",
      "title": "People Operations Lead",
      "employer_name": "Arena",
      "employer_slug": "arena",
      "location_text": "Bay Area, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "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": 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,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2026-06-08T22:51:27.865Z",
      "apply_url": "https://jobs.ashbyhq.com/arena/4cbc2bd8-24e1-4100-862c-ea93651b4cb7",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "People Operations Lead Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking an experienced People Operations Lead to design and scale HR programs, including onboarding, performance, and compensation, while acting as an HR business partner to leadership. The role involves building lightweight processes, advising on org design and employee relations, driving culture initiatives,",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {},
      "seniority": "senior",
      "seniority_source": null,
      "years_experience_min": 6,
      "years_experience_max": 10,
      "role_function": "hr",
      "role_function_source": null,
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Media",
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_type": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "seniority": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "role_function": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        }
      }
    },
    {
      "id": "435974b818885590e4e4e9b0ea7b858a",
      "title": "Assistant Controller",
      "employer_name": "Arena",
      "employer_slug": "arena",
      "location_text": "Bay Area, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "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": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2026-04-28T20:17:26.018Z",
      "apply_url": "https://jobs.ashbyhq.com/arena/0a03c4de-f12b-41c4-af79-770af0fc2208",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Assistant Controller Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role As Assistant Controller, you'll build our accounting function from the ground up - the systems, controls, and infrastructure that support our next phase of growth. This is a rare opportunity to be the first dedicated accounting hire at a company whose customers include the world's top",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {},
      "seniority": "mid",
      "seniority_source": null,
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "finance",
      "role_function_source": null,
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Media",
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_type": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "seniority": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "role_function": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        }
      }
    },
    {
      "id": "d1cfacb8d2a69b70bf57455263280e8d",
      "title": "Security Engineer, Anti-Abuse",
      "employer_name": "Arena",
      "employer_slug": "arena",
      "location_text": "Bay Area, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "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": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2026-04-22T23:26:10.886Z",
      "apply_url": "https://jobs.ashbyhq.com/arena/76fcd272-2f5b-4405-ae6c-577f7b4ccd2b",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Security Engineer, Anti-Abuse Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a Security Engineer, Anti-Abuse to own platform misuse end-to-end. Arena's evaluations are only as trustworthy as the signal behind them - and that signal is under constant, creative attack. You will build the detection, enforcement, and investigation systems that keep Arena'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": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {},
      "seniority": "mid",
      "seniority_source": null,
      "years_experience_min": 6,
      "years_experience_max": 7,
      "role_function": "security",
      "role_function_source": null,
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Media",
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": true,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_type": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "seniority": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "role_function": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        }
      }
    },
    {
      "id": "e36ba052f2490e0d629594ce9b43ba20",
      "title": "Senior Software Engineer, Product",
      "employer_name": "Arena",
      "employer_slug": "arena",
      "location_text": "Bay Area, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "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": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2026-04-20T21:33:16.017Z",
      "apply_url": "https://jobs.ashbyhq.com/arena/e53c0f7f-b715-42e0-96ca-4316a703c3dc",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software Engineer, Product Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role We're looking for a Senior Software Engineer to own features end-to-end across Arena's platform - from understanding the problem, through designing and building the solution, to shipping it, measuring its impact, and iterating. This is a hands-on IC role for someone who writes code",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {},
      "seniority": "senior",
      "seniority_source": null,
      "years_experience_min": 4,
      "years_experience_max": 8,
      "role_function": "engineering",
      "role_function_source": null,
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Media",
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_type": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "seniority": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "role_function": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        }
      }
    },
    {
      "id": "c78892516e410be745ef216450361fa5",
      "title": "Data Scientist",
      "employer_name": "Arena",
      "employer_slug": "arena",
      "location_text": "Bay Area, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "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": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2026-03-19T22:54:34.342Z",
      "apply_url": "https://jobs.ashbyhq.com/arena/81faa42c-c9a3-433e-b6bc-9ad7eefb88af",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Data Scientist Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role As a Data Scientist you'll explore and reason about the data that powers millions of AI evaluations each week. You'll generate and test hypotheses, identify causal relationships, and uncover insights that help us understand how frontier models behave in the real world. You'll collaborate with ML",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {},
      "seniority": "mid",
      "seniority_source": null,
      "years_experience_min": 6,
      "years_experience_max": 10,
      "role_function": "data",
      "role_function_source": null,
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Media",
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_type": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "seniority": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "role_function": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        }
      }
    },
    {
      "id": "1bd27361a705e8983b3526f6fa56bcfc",
      "title": "Associate General Counsel, Commercial & IP",
      "employer_name": "Arena",
      "employer_slug": "arena",
      "location_text": "Bay Area, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "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": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2026-03-18T17:06:25.413Z",
      "apply_url": "https://jobs.ashbyhq.com/arena/40e6c95b-5bc5-4a85-9c5b-6beba72b57a3",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Associate General Counsel, Commercial & IP Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Come join our legal team to work on the most exciting commercial, intellectual property, and operational issues at the leading edge of AI. We're seeking a strong, business-minded lawyer with deep expertise in both commercial contracting and intellectual property law. As Associate",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {},
      "seniority": "director_plus",
      "seniority_source": null,
      "years_experience_min": 0,
      "years_experience_max": 4,
      "role_function": "legal",
      "role_function_source": null,
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Media",
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_type": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "seniority": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "role_function": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        }
      }
    },
    {
      "id": "6961f6fc3c8464cd626c3a431f94364b",
      "title": "Product Solutions Engineer",
      "employer_name": "Arena",
      "employer_slug": "arena",
      "location_text": "Bay Area, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "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": 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,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2026-02-23T22:29:10.761Z",
      "apply_url": "https://jobs.ashbyhq.com/arena/33a9584b-8f94-4478-8253-605da4bcc65c",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Product Solutions Engineer Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role This role has two core parts, both centered around working closely with the best AI labs in the world. First, you'll partner directly with our lab customers to integrate their models, run and deliver evals, and act as their go-to person at Arena Intelligence. You'll",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {},
      "seniority": "mid",
      "seniority_source": null,
      "years_experience_min": 4,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": null,
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Media",
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_type": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "seniority": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "role_function": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        }
      }
    },
    {
      "id": "0e3a70cf320c45e5a1a57c24ede88744",
      "title": "Data Engineer",
      "employer_name": "Arena",
      "employer_slug": "arena",
      "location_text": "Bay Area, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "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": 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,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2026-02-03T19:42:12.849Z",
      "apply_url": "https://jobs.ashbyhq.com/arena/ea176c3c-2fb8-4928-b59e-d7aadf500481",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Data Engineer Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking an experienced Data Engineer to own the data foundations that power real-world AI evaluation. In this role, you will design and build the analytics-layer data models, pipelines, and metrics that turn raw user activity and votes into trusted insights for the public,",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {},
      "seniority": "mid",
      "seniority_source": null,
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": null,
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Media",
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_type": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "seniority": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "role_function": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        }
      }
    },
    {
      "id": "8cd9a50fa5bed04211e7efa921cb0034",
      "title": "Technical Recruiter",
      "employer_name": "Arena",
      "employer_slug": "arena",
      "location_text": "Bay Area, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "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": 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,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2025-12-18T09:53:45.310Z",
      "apply_url": "https://jobs.ashbyhq.com/arena/44726c2d-4a54-43da-9e32-73bcb7522c38",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Technical Recruiter Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is hiring a highly collaborative Technical Recruiter to help scale a world-class team. You'll serve as a trusted advisor to candidates and hiring leaders, build repeatable recruiting practices, advance inclusive hiring, support employer brand efforts, and deliver an outstanding candidate experience. This role is",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {},
      "seniority": "mid",
      "seniority_source": null,
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "hr",
      "role_function_source": null,
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Media",
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_type": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "seniority": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "role_function": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        }
      }
    },
    {
      "id": "ecb1254a59b8f151cd77a214bf20d8a6",
      "title": "Senior Software Engineer, ML Infrastructure",
      "employer_name": "Arena",
      "employer_slug": "arena",
      "location_text": "Bay Area, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "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": 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,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2025-12-18T09:46:50.063Z",
      "apply_url": "https://jobs.ashbyhq.com/arena/8a52db07-5ba9-4d64-a08f-1b1f6cd88c5a",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software Engineer, ML Infrastructure Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a Senior Software Engineer (ML Infrastructure) to lead the design and development of scalable, high-performance real-time data and API infrastructure. In this role, you'll architect systems that capture and process large volumes of serving requests in real time, powering",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {},
      "seniority": "senior",
      "seniority_source": null,
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "role_function_source": null,
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Media",
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_type": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "seniority": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "role_function": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        }
      }
    },
    {
      "id": "5fb35febf677302d043d1096c2c5acbe",
      "title": "Staff Software Engineer, Product",
      "employer_name": "Arena",
      "employer_slug": "arena",
      "location_text": "Bay Area, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "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": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2025-12-18T09:40:22.841Z",
      "apply_url": "https://jobs.ashbyhq.com/arena/7354e079-fd69-4c1a-b9ce-ce99dcf30482",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Software Engineer, Product Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role We're looking for a Staff Software Engineer to own entire product areas at Arena - identifying what to build, designing and shipping the solution, driving it to measurable outcomes, and raising the bar for the team along the way. This is a hands-on IC",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {},
      "seniority": "staff_plus",
      "seniority_source": null,
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "engineering",
      "role_function_source": null,
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Media",
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_type": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "seniority": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "role_function": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        }
      }
    },
    {
      "id": "4fcf51583faec055d3c7128016c7f797",
      "title": "Senior Software Engineer, Data Infrastructure",
      "employer_name": "Arena",
      "employer_slug": "arena",
      "location_text": "Bay Area, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "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": 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,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2025-12-18T09:26:33.645Z",
      "apply_url": "https://jobs.ashbyhq.com/arena/0f4ce213-8537-4a9b-af4f-25139df1b705",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software Engineer, Data Infrastructure Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a Software Engineer to join our team and build the data pipelines and infrastructure that powers real-world AI evaluation. You'll play a crucial role in designing and building the data pipelines that process and analyze tens of millions user",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {},
      "seniority": "senior",
      "seniority_source": null,
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "role_function_source": null,
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Media",
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_type": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "seniority": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "role_function": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        }
      }
    },
    {
      "id": "501f2366a4c9958d336e31a377db18d0",
      "title": "Founding Product Security Engineer",
      "employer_name": "Arena",
      "employer_slug": "arena",
      "location_text": "Bay Area, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "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": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2025-12-18T09:20:59.639Z",
      "apply_url": "https://jobs.ashbyhq.com/arena/d1c71ccd-8fbf-42cb-82b5-06694e1b79f3",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Founding Product Security Engineer Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a Founding Product Security Engineer to lead the strategy, design, and hands-on implementation of the systems that protect Arena from attackers and keep our platform trustworthy as we scale. You'll work across product, infrastructure, and data pipelines to proactively identify",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {},
      "seniority": "staff_plus",
      "seniority_source": null,
      "years_experience_min": 6,
      "years_experience_max": 10,
      "role_function": "security",
      "role_function_source": null,
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Media",
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_type": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "seniority": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "role_function": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        }
      }
    },
    {
      "id": "f8ab257c85928a6cde5745e5fa218065",
      "title": "Machine Learning Scientist - Open Source Lead",
      "employer_name": "Arena",
      "employer_slug": "arena",
      "location_text": "Bay Area, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "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": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2025-12-18T08:51:39.305Z",
      "apply_url": "https://jobs.ashbyhq.com/arena/62014e2d-6225-4310-96d3-c0a2c3df27f0",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Machine Learning Scientist - Open Source Lead Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is looking for a Machine Learning Scientist to lead our open-source research, including open data set and code releases, advancing how the world evaluates and understands AI models in the open. You'll design, run, and share new methods 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,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {},
      "seniority": "senior",
      "seniority_source": null,
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": null,
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Media",
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_type": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "seniority": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "role_function": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        }
      }
    },
    {
      "id": "35e2be290fcf2f5954876b4e94c6ac66",
      "title": "Machine Learning Scientist",
      "employer_name": "Arena",
      "employer_slug": "arena",
      "location_text": "Bay Area, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "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": 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,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2025-12-18T08:49:07.018Z",
      "apply_url": "https://jobs.ashbyhq.com/arena/38c21c97-1852-4cd1-b618-2f5fe0492202",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Machine Learning Scientist Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models. You'll help design and analyse experiments that uncover what makes models useful, trustworthy and capable through human preference signals. Your work will 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": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {},
      "seniority": "mid",
      "seniority_source": null,
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": null,
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Media",
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_type": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "seniority": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "role_function": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        }
      }
    },
    {
      "id": "78315604d123257de6a462223d8f5766",
      "title": "Machine Learning Engineer",
      "employer_name": "Arena",
      "employer_slug": "arena",
      "location_text": "Bay Area, California, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "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": 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,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2025-12-18T08:42:21.907Z",
      "apply_url": "https://jobs.ashbyhq.com/arena/eaeb1f28-cca9-468d-abcf-5ff412ad75de",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Machine Learning Engineer Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a Senior Machine Learning Engineer to help scale and strengthen the core infrastructure that powers real-world AI evaluation. You'll play a foundational role in shaping how we build, deploy, and improve our model benchmarking systems, working across data pipelines, inference APIs,",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {},
      "seniority": "mid",
      "seniority_source": null,
      "years_experience_min": 4,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": null,
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Media",
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [],
      "parental_leave_source_label": null,
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_type": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "seniority": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "role_function": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        }
      }
    }
  ],
  "json_ld": [
    {
      "@context": "https://schema.org",
      "@type": "Organization",
      "name": "Arena",
      "url": "https://arena.ai",
      "sameAs": []
    },
    {
      "@context": "https://schema.org",
      "@type": "ItemList",
      "name": "Arena open jobs",
      "itemListElement": [
        {
          "@type": "ListItem",
          "position": 1,
          "url": "https://fewerjobs.com/jobs/arena/people-operations-lead-03ea51d0",
          "item": {
            "@context": "https://schema.org",
            "@type": "JobPosting",
            "title": "People Operations Lead",
            "description": "<p>People Operations Lead at Arena - Bay Area, California, United States - People Operations Lead Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley&#39;s SkyLab, we&#39;re on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We&#39;re a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We&#39;re building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking an experienced People Operations Lead to design and scale HR programs, including onboarding, performance, and compensation, while acting as an HR business partner to leadership. The role involves building lightweight processes, advising on org design and employee relations, driving culture initiatives,</p>",
            "datePosted": "2026-06-08T22:51:27.865Z",
            "employmentType": "OTHER",
            "identifier": {
              "@type": "PropertyValue",
              "name": "Arena",
              "value": "03ea51d0367ecabed8669f36401fe18e"
            },
            "hiringOrganization": {
              "@type": "Organization",
              "name": "Arena"
            },
            "jobLocation": {
              "@type": "Place",
              "address": {
                "@type": "PostalAddress",
                "addressCountry": "US",
                "addressLocality": "Bay Area"
              }
            },
            "directApply": false,
            "incentiveCompensation": "Equity (Options)",
            "experienceRequirements": {
              "@type": "OccupationalExperienceRequirements",
              "monthsOfExperience": 72
            },
            "educationRequirements": "no requirements",
            "url": "https://fewerjobs.com/jobs/arena/people-operations-lead-03ea51d0"
          }
        },
        {
          "@type": "ListItem",
          "position": 2,
          "url": "https://fewerjobs.com/jobs/arena/assistant-controller-435974b8",
          "item": {
            "@context": "https://schema.org",
            "@type": "JobPosting",
            "title": "Assistant Controller",
            "description": "<p>Assistant Controller at Arena - Bay Area, California, United States - Assistant Controller Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley&#39;s SkyLab, we&#39;re on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We&#39;re a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We&#39;re building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role As Assistant Controller, you&#39;ll build our accounting function from the ground up - the systems, controls, and infrastructure that support our next phase of growth. This is a rare opportunity to be the first dedicated accounting hire at a company whose customers include the world&#39;s top</p>",
            "datePosted": "2026-04-28T20:17:26.018Z",
            "employmentType": "OTHER",
            "identifier": {
              "@type": "PropertyValue",
              "name": "Arena",
              "value": "435974b818885590e4e4e9b0ea7b858a"
            },
            "hiringOrganization": {
              "@type": "Organization",
              "name": "Arena"
            },
            "jobLocation": {
              "@type": "Place",
              "address": {
                "@type": "PostalAddress",
                "addressCountry": "US",
                "addressLocality": "Bay Area"
              }
            },
            "directApply": false,
            "incentiveCompensation": "Equity (Options); Bonus",
            "experienceRequirements": {
              "@type": "OccupationalExperienceRequirements",
              "monthsOfExperience": 36
            },
            "educationRequirements": "no requirements",
            "url": "https://fewerjobs.com/jobs/arena/assistant-controller-435974b8"
          }
        },
        {
          "@type": "ListItem",
          "position": 3,
          "url": "https://fewerjobs.com/jobs/arena/security-engineer-anti-abuse-d1cfacb8",
          "item": {
            "@context": "https://schema.org",
            "@type": "JobPosting",
            "title": "Security Engineer, Anti-Abuse",
            "description": "<p>Security Engineer, Anti-Abuse at Arena - Bay Area, California, United States - Security Engineer, Anti-Abuse Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley&#39;s SkyLab, we&#39;re on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We&#39;re a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We&#39;re building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a Security Engineer, Anti-Abuse to own platform misuse end-to-end. Arena&#39;s evaluations are only as trustworthy as the signal behind them - and that signal is under constant, creative attack. You will build the detection, enforcement, and investigation systems that keep Arena&#39;s</p>",
            "datePosted": "2026-04-22T23:26:10.886Z",
            "employmentType": "OTHER",
            "identifier": {
              "@type": "PropertyValue",
              "name": "Arena",
              "value": "d1cfacb8d2a69b70bf57455263280e8d"
            },
            "hiringOrganization": {
              "@type": "Organization",
              "name": "Arena"
            },
            "jobLocation": {
              "@type": "Place",
              "address": {
                "@type": "PostalAddress",
                "addressCountry": "US",
                "addressLocality": "Bay Area"
              }
            },
            "directApply": false,
            "incentiveCompensation": "Equity (Options); Bonus",
            "experienceRequirements": {
              "@type": "OccupationalExperienceRequirements",
              "monthsOfExperience": 72
            },
            "educationRequirements": "no requirements",
            "url": "https://fewerjobs.com/jobs/arena/security-engineer-anti-abuse-d1cfacb8"
          }
        },
        {
          "@type": "ListItem",
          "position": 4,
          "url": "https://fewerjobs.com/jobs/arena/senior-software-engineer-product-e36ba052",
          "item": {
            "@context": "https://schema.org",
            "@type": "JobPosting",
            "title": "Senior Software Engineer, Product",
            "description": "<p>Senior Software Engineer, Product at Arena - Bay Area, California, United States - Senior Software Engineer, Product Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley&#39;s SkyLab, we&#39;re on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We&#39;re a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We&#39;re building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role We&#39;re looking for a Senior Software Engineer to own features end-to-end across Arena&#39;s platform - from understanding the problem, through designing and building the solution, to shipping it, measuring its impact, and iterating. This is a hands-on IC role for someone who writes code</p>",
            "datePosted": "2026-04-20T21:33:16.017Z",
            "employmentType": "OTHER",
            "identifier": {
              "@type": "PropertyValue",
              "name": "Arena",
              "value": "e36ba052f2490e0d629594ce9b43ba20"
            },
            "hiringOrganization": {
              "@type": "Organization",
              "name": "Arena"
            },
            "jobLocation": {
              "@type": "Place",
              "address": {
                "@type": "PostalAddress",
                "addressCountry": "US",
                "addressLocality": "Bay Area"
              }
            },
            "directApply": false,
            "incentiveCompensation": "Equity (Options); Bonus",
            "experienceRequirements": {
              "@type": "OccupationalExperienceRequirements",
              "monthsOfExperience": 48
            },
            "educationRequirements": "no requirements",
            "url": "https://fewerjobs.com/jobs/arena/senior-software-engineer-product-e36ba052"
          }
        },
        {
          "@type": "ListItem",
          "position": 5,
          "url": "https://fewerjobs.com/jobs/arena/data-scientist-c7889251",
          "item": {
            "@context": "https://schema.org",
            "@type": "JobPosting",
            "title": "Data Scientist",
            "description": "<p>Data Scientist at Arena - Bay Area, California, United States - Data Scientist Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley&#39;s SkyLab, we&#39;re on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We&#39;re a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We&#39;re building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role As a Data Scientist you&#39;ll explore and reason about the data that powers millions of AI evaluations each week. You&#39;ll generate and test hypotheses, identify causal relationships, and uncover insights that help us understand how frontier models behave in the real world. You&#39;ll collaborate with ML</p>",
            "datePosted": "2026-03-19T22:54:34.342Z",
            "employmentType": "OTHER",
            "identifier": {
              "@type": "PropertyValue",
              "name": "Arena",
              "value": "c78892516e410be745ef216450361fa5"
            },
            "hiringOrganization": {
              "@type": "Organization",
              "name": "Arena"
            },
            "jobLocation": {
              "@type": "Place",
              "address": {
                "@type": "PostalAddress",
                "addressCountry": "US",
                "addressLocality": "Bay Area"
              }
            },
            "directApply": false,
            "incentiveCompensation": "Equity (Options); Bonus",
            "experienceRequirements": {
              "@type": "OccupationalExperienceRequirements",
              "monthsOfExperience": 72
            },
            "educationRequirements": "no requirements",
            "url": "https://fewerjobs.com/jobs/arena/data-scientist-c7889251"
          }
        },
        {
          "@type": "ListItem",
          "position": 6,
          "url": "https://fewerjobs.com/jobs/arena/associate-general-counsel-commercial-and-ip-1bd27361",
          "item": {
            "@context": "https://schema.org",
            "@type": "JobPosting",
            "title": "Associate General Counsel, Commercial & IP",
            "description": "<p>Associate General Counsel, Commercial &amp; IP at Arena - Bay Area, California, United States - Associate General Counsel, Commercial &amp; IP Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley&#39;s SkyLab, we&#39;re on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We&#39;re a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We&#39;re building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Come join our legal team to work on the most exciting commercial, intellectual property, and operational issues at the leading edge of AI. We&#39;re seeking a strong, business-minded lawyer with deep expertise in both commercial contracting and intellectual property law. As Associate</p>",
            "datePosted": "2026-03-18T17:06:25.413Z",
            "employmentType": "OTHER",
            "identifier": {
              "@type": "PropertyValue",
              "name": "Arena",
              "value": "1bd27361a705e8983b3526f6fa56bcfc"
            },
            "hiringOrganization": {
              "@type": "Organization",
              "name": "Arena"
            },
            "jobLocation": {
              "@type": "Place",
              "address": {
                "@type": "PostalAddress",
                "addressCountry": "US",
                "addressLocality": "Bay Area"
              }
            },
            "directApply": false,
            "incentiveCompensation": "Equity (Options); Bonus",
            "educationRequirements": "Masters",
            "url": "https://fewerjobs.com/jobs/arena/associate-general-counsel-commercial-and-ip-1bd27361"
          }
        },
        {
          "@type": "ListItem",
          "position": 7,
          "url": "https://fewerjobs.com/jobs/arena/product-solutions-engineer-6961f6fc",
          "item": {
            "@context": "https://schema.org",
            "@type": "JobPosting",
            "title": "Product Solutions Engineer",
            "description": "<p>Product Solutions Engineer at Arena - Bay Area, California, United States - Product Solutions Engineer Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley&#39;s SkyLab, we&#39;re on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We&#39;re a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We&#39;re building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role This role has two core parts, both centered around working closely with the best AI labs in the world. First, you&#39;ll partner directly with our lab customers to integrate their models, run and deliver evals, and act as their go-to person at Arena Intelligence. You&#39;ll</p>",
            "datePosted": "2026-02-23T22:29:10.761Z",
            "employmentType": "OTHER",
            "identifier": {
              "@type": "PropertyValue",
              "name": "Arena",
              "value": "6961f6fc3c8464cd626c3a431f94364b"
            },
            "hiringOrganization": {
              "@type": "Organization",
              "name": "Arena"
            },
            "jobLocation": {
              "@type": "Place",
              "address": {
                "@type": "PostalAddress",
                "addressCountry": "US",
                "addressLocality": "Bay Area"
              }
            },
            "directApply": false,
            "incentiveCompensation": "Equity (Options)",
            "experienceRequirements": {
              "@type": "OccupationalExperienceRequirements",
              "monthsOfExperience": 48
            },
            "educationRequirements": "no requirements",
            "url": "https://fewerjobs.com/jobs/arena/product-solutions-engineer-6961f6fc"
          }
        },
        {
          "@type": "ListItem",
          "position": 8,
          "url": "https://fewerjobs.com/jobs/arena/data-engineer-0e3a70cf",
          "item": {
            "@context": "https://schema.org",
            "@type": "JobPosting",
            "title": "Data Engineer",
            "description": "<p>Data Engineer at Arena - Bay Area, California, United States - Data Engineer Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley&#39;s SkyLab, we&#39;re on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We&#39;re a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We&#39;re building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking an experienced Data Engineer to own the data foundations that power real-world AI evaluation. In this role, you will design and build the analytics-layer data models, pipelines, and metrics that turn raw user activity and votes into trusted insights for the public,</p>",
            "datePosted": "2026-02-03T19:42:12.849Z",
            "employmentType": "OTHER",
            "identifier": {
              "@type": "PropertyValue",
              "name": "Arena",
              "value": "0e3a70cf320c45e5a1a57c24ede88744"
            },
            "hiringOrganization": {
              "@type": "Organization",
              "name": "Arena"
            },
            "jobLocation": {
              "@type": "Place",
              "address": {
                "@type": "PostalAddress",
                "addressCountry": "US",
                "addressLocality": "Bay Area"
              }
            },
            "directApply": false,
            "incentiveCompensation": "Equity (Options)",
            "experienceRequirements": {
              "@type": "OccupationalExperienceRequirements",
              "monthsOfExperience": 36
            },
            "educationRequirements": "no requirements",
            "url": "https://fewerjobs.com/jobs/arena/data-engineer-0e3a70cf"
          }
        },
        {
          "@type": "ListItem",
          "position": 9,
          "url": "https://fewerjobs.com/jobs/arena/technical-recruiter-8cd9a50f",
          "item": {
            "@context": "https://schema.org",
            "@type": "JobPosting",
            "title": "Technical Recruiter",
            "description": "<p>Technical Recruiter at Arena - Bay Area, California, United States - Technical Recruiter Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley&#39;s SkyLab, we&#39;re on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We&#39;re a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We&#39;re building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is hiring a highly collaborative Technical Recruiter to help scale a world-class team. You&#39;ll serve as a trusted advisor to candidates and hiring leaders, build repeatable recruiting practices, advance inclusive hiring, support employer brand efforts, and deliver an outstanding candidate experience. This role is</p>",
            "datePosted": "2025-12-18T09:53:45.310Z",
            "employmentType": "OTHER",
            "identifier": {
              "@type": "PropertyValue",
              "name": "Arena",
              "value": "8cd9a50fa5bed04211e7efa921cb0034"
            },
            "hiringOrganization": {
              "@type": "Organization",
              "name": "Arena"
            },
            "jobLocation": {
              "@type": "Place",
              "address": {
                "@type": "PostalAddress",
                "addressCountry": "US",
                "addressLocality": "Bay Area"
              }
            },
            "directApply": false,
            "incentiveCompensation": "Equity (Options)",
            "experienceRequirements": {
              "@type": "OccupationalExperienceRequirements",
              "monthsOfExperience": 36
            },
            "educationRequirements": "no requirements",
            "url": "https://fewerjobs.com/jobs/arena/technical-recruiter-8cd9a50f"
          }
        },
        {
          "@type": "ListItem",
          "position": 10,
          "url": "https://fewerjobs.com/jobs/arena/senior-software-engineer-ml-infrastructure-ecb1254a",
          "item": {
            "@context": "https://schema.org",
            "@type": "JobPosting",
            "title": "Senior Software Engineer, ML Infrastructure",
            "description": "<p>Senior Software Engineer, ML Infrastructure at Arena - Bay Area, California, United States - Senior Software Engineer, ML Infrastructure Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley&#39;s SkyLab, we&#39;re on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We&#39;re a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We&#39;re building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a Senior Software Engineer (ML Infrastructure) to lead the design and development of scalable, high-performance real-time data and API infrastructure. In this role, you&#39;ll architect systems that capture and process large volumes of serving requests in real time, powering</p>",
            "datePosted": "2025-12-18T09:46:50.063Z",
            "employmentType": "OTHER",
            "identifier": {
              "@type": "PropertyValue",
              "name": "Arena",
              "value": "ecb1254a59b8f151cd77a214bf20d8a6"
            },
            "hiringOrganization": {
              "@type": "Organization",
              "name": "Arena"
            },
            "jobLocation": {
              "@type": "Place",
              "address": {
                "@type": "PostalAddress",
                "addressCountry": "US",
                "addressLocality": "Bay Area"
              }
            },
            "directApply": false,
            "incentiveCompensation": "Equity (Options)",
            "experienceRequirements": {
              "@type": "OccupationalExperienceRequirements",
              "monthsOfExperience": 60
            },
            "educationRequirements": "no requirements",
            "url": "https://fewerjobs.com/jobs/arena/senior-software-engineer-ml-infrastructure-ecb1254a"
          }
        },
        {
          "@type": "ListItem",
          "position": 11,
          "url": "https://fewerjobs.com/jobs/arena/staff-software-engineer-product-5fb35feb",
          "item": {
            "@context": "https://schema.org",
            "@type": "JobPosting",
            "title": "Staff Software Engineer, Product",
            "description": "<p>Staff Software Engineer, Product at Arena - Bay Area, California, United States - Staff Software Engineer, Product Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley&#39;s SkyLab, we&#39;re on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We&#39;re a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We&#39;re building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role We&#39;re looking for a Staff Software Engineer to own entire product areas at Arena - identifying what to build, designing and shipping the solution, driving it to measurable outcomes, and raising the bar for the team along the way. This is a hands-on IC</p>",
            "datePosted": "2025-12-18T09:40:22.841Z",
            "employmentType": "OTHER",
            "identifier": {
              "@type": "PropertyValue",
              "name": "Arena",
              "value": "5fb35febf677302d043d1096c2c5acbe"
            },
            "hiringOrganization": {
              "@type": "Organization",
              "name": "Arena"
            },
            "jobLocation": {
              "@type": "Place",
              "address": {
                "@type": "PostalAddress",
                "addressCountry": "US",
                "addressLocality": "Bay Area"
              }
            },
            "directApply": false,
            "incentiveCompensation": "Equity (Options); Bonus",
            "experienceRequirements": {
              "@type": "OccupationalExperienceRequirements",
              "monthsOfExperience": 96
            },
            "educationRequirements": "no requirements",
            "url": "https://fewerjobs.com/jobs/arena/staff-software-engineer-product-5fb35feb"
          }
        },
        {
          "@type": "ListItem",
          "position": 12,
          "url": "https://fewerjobs.com/jobs/arena/senior-software-engineer-data-infrastructure-4fcf5158",
          "item": {
            "@context": "https://schema.org",
            "@type": "JobPosting",
            "title": "Senior Software Engineer, Data Infrastructure",
            "description": "<p>Senior Software Engineer, Data Infrastructure at Arena - Bay Area, California, United States - Senior Software Engineer, Data Infrastructure Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley&#39;s SkyLab, we&#39;re on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We&#39;re a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We&#39;re building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a Software Engineer to join our team and build the data pipelines and infrastructure that powers real-world AI evaluation. You&#39;ll play a crucial role in designing and building the data pipelines that process and analyze tens of millions user</p>",
            "datePosted": "2025-12-18T09:26:33.645Z",
            "employmentType": "OTHER",
            "identifier": {
              "@type": "PropertyValue",
              "name": "Arena",
              "value": "4fcf51583faec055d3c7128016c7f797"
            },
            "hiringOrganization": {
              "@type": "Organization",
              "name": "Arena"
            },
            "jobLocation": {
              "@type": "Place",
              "address": {
                "@type": "PostalAddress",
                "addressCountry": "US",
                "addressLocality": "Bay Area"
              }
            },
            "directApply": false,
            "incentiveCompensation": "Equity (Options)",
            "experienceRequirements": {
              "@type": "OccupationalExperienceRequirements",
              "monthsOfExperience": 60
            },
            "educationRequirements": "no requirements",
            "url": "https://fewerjobs.com/jobs/arena/senior-software-engineer-data-infrastructure-4fcf5158"
          }
        },
        {
          "@type": "ListItem",
          "position": 13,
          "url": "https://fewerjobs.com/jobs/arena/founding-product-security-engineer-501f2366",
          "item": {
            "@context": "https://schema.org",
            "@type": "JobPosting",
            "title": "Founding Product Security Engineer",
            "description": "<p>Founding Product Security Engineer at Arena - Bay Area, California, United States - Founding Product Security Engineer Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley&#39;s SkyLab, we&#39;re on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We&#39;re a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We&#39;re building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a Founding Product Security Engineer to lead the strategy, design, and hands-on implementation of the systems that protect Arena from attackers and keep our platform trustworthy as we scale. You&#39;ll work across product, infrastructure, and data pipelines to proactively identify</p>",
            "datePosted": "2025-12-18T09:20:59.639Z",
            "employmentType": "OTHER",
            "identifier": {
              "@type": "PropertyValue",
              "name": "Arena",
              "value": "501f2366a4c9958d336e31a377db18d0"
            },
            "hiringOrganization": {
              "@type": "Organization",
              "name": "Arena"
            },
            "jobLocation": {
              "@type": "Place",
              "address": {
                "@type": "PostalAddress",
                "addressCountry": "US",
                "addressLocality": "Bay Area"
              }
            },
            "directApply": false,
            "incentiveCompensation": "Equity (Options); Bonus",
            "experienceRequirements": {
              "@type": "OccupationalExperienceRequirements",
              "monthsOfExperience": 72
            },
            "educationRequirements": "no requirements",
            "url": "https://fewerjobs.com/jobs/arena/founding-product-security-engineer-501f2366"
          }
        },
        {
          "@type": "ListItem",
          "position": 14,
          "url": "https://fewerjobs.com/jobs/arena/machine-learning-scientist-open-source-lead-f8ab257c",
          "item": {
            "@context": "https://schema.org",
            "@type": "JobPosting",
            "title": "Machine Learning Scientist - Open Source Lead",
            "description": "<p>Machine Learning Scientist - Open Source Lead at Arena - Bay Area, California, United States - Machine Learning Scientist - Open Source Lead Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley&#39;s SkyLab, we&#39;re on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We&#39;re a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We&#39;re building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is looking for a Machine Learning Scientist to lead our open-source research, including open data set and code releases, advancing how the world evaluates and understands AI models in the open. You&#39;ll design, run, and share new methods and</p>",
            "datePosted": "2025-12-18T08:51:39.305Z",
            "employmentType": "OTHER",
            "identifier": {
              "@type": "PropertyValue",
              "name": "Arena",
              "value": "f8ab257c85928a6cde5745e5fa218065"
            },
            "hiringOrganization": {
              "@type": "Organization",
              "name": "Arena"
            },
            "jobLocation": {
              "@type": "Place",
              "address": {
                "@type": "PostalAddress",
                "addressCountry": "US",
                "addressLocality": "Bay Area"
              }
            },
            "directApply": false,
            "incentiveCompensation": "Equity (Options); Bonus",
            "experienceRequirements": {
              "@type": "OccupationalExperienceRequirements",
              "monthsOfExperience": 60
            },
            "educationRequirements": "Doctorate",
            "url": "https://fewerjobs.com/jobs/arena/machine-learning-scientist-open-source-lead-f8ab257c"
          }
        },
        {
          "@type": "ListItem",
          "position": 15,
          "url": "https://fewerjobs.com/jobs/arena/machine-learning-scientist-35e2be29",
          "item": {
            "@context": "https://schema.org",
            "@type": "JobPosting",
            "title": "Machine Learning Scientist",
            "description": "<p>Machine Learning Scientist at Arena - Bay Area, California, United States - Machine Learning Scientist Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley&#39;s SkyLab, we&#39;re on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We&#39;re a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We&#39;re building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models. You&#39;ll help design and analyse experiments that uncover what makes models useful, trustworthy and capable through human preference signals. Your work will contribute to the</p>",
            "datePosted": "2025-12-18T08:49:07.018Z",
            "employmentType": "OTHER",
            "identifier": {
              "@type": "PropertyValue",
              "name": "Arena",
              "value": "35e2be290fcf2f5954876b4e94c6ac66"
            },
            "hiringOrganization": {
              "@type": "Organization",
              "name": "Arena"
            },
            "jobLocation": {
              "@type": "Place",
              "address": {
                "@type": "PostalAddress",
                "addressCountry": "US",
                "addressLocality": "Bay Area"
              }
            },
            "directApply": false,
            "incentiveCompensation": "Equity (Options)",
            "experienceRequirements": {
              "@type": "OccupationalExperienceRequirements",
              "monthsOfExperience": 36
            },
            "educationRequirements": "Doctorate",
            "url": "https://fewerjobs.com/jobs/arena/machine-learning-scientist-35e2be29"
          }
        },
        {
          "@type": "ListItem",
          "position": 16,
          "url": "https://fewerjobs.com/jobs/arena/machine-learning-engineer-78315604",
          "item": {
            "@context": "https://schema.org",
            "@type": "JobPosting",
            "title": "Machine Learning Engineer",
            "description": "<p>Machine Learning Engineer at Arena - Bay Area, California, United States - Machine Learning Engineer Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley&#39;s SkyLab, we&#39;re on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We&#39;re a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We&#39;re building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a Senior Machine Learning Engineer to help scale and strengthen the core infrastructure that powers real-world AI evaluation. You&#39;ll play a foundational role in shaping how we build, deploy, and improve our model benchmarking systems, working across data pipelines, inference APIs,</p>",
            "datePosted": "2025-12-18T08:42:21.907Z",
            "employmentType": "OTHER",
            "identifier": {
              "@type": "PropertyValue",
              "name": "Arena",
              "value": "78315604d123257de6a462223d8f5766"
            },
            "hiringOrganization": {
              "@type": "Organization",
              "name": "Arena"
            },
            "jobLocation": {
              "@type": "Place",
              "address": {
                "@type": "PostalAddress",
                "addressCountry": "US",
                "addressLocality": "Bay Area"
              }
            },
            "directApply": false,
            "incentiveCompensation": "Equity (Options)",
            "experienceRequirements": {
              "@type": "OccupationalExperienceRequirements",
              "monthsOfExperience": 48
            },
            "educationRequirements": "no requirements",
            "url": "https://fewerjobs.com/jobs/arena/machine-learning-engineer-78315604"
          }
        }
      ]
    }
  ]
}