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.
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 required to be in office 3 days per week.
Partner with hiring managers to clarify role outcomes, success profiles, and interview plans; prioritize reqs against business goals.
Run full-cycle recruiting: kickoff → JD refinement → sourcing → assessment → debriefs → offer → close.
Build pipelines via targeted sourcing (passive outreach, talent communities, events, referrals, and thoughtful job posts).
Maintain a structured, fair process: define competencies, calibrate rubrics, and uphold a consistent candidate experience.
Hold a relentless drive for excellence in every stage—calibrating rubrics, tightening loops, and continuously improving the funnel.
Track and improve funnel health (speed, quality, diversity signals); report weekly and quarterly progress with clear narrative and metrics.
Drive offer strategy and negotiations aligned to leveling, compensation bands, and market insights.
Nurture long-term networks of high-potential talent; keep a mapped bench for critical and future roles.
Partner on employer brand moments (events, content, communities) that attract deep-tech talent.
Coach hiring managers and interviewers on best practices and candidate excellence.
10+ years of full-cycle technical recruiting in deep-tech environments.
Proven strength sourcing and closing passive candidates for high-bar roles; skilled at narrative selling and objection handling.
Demonstrated ability to translate business needs into clear hiring plans, profiles, and processes.
Experience collaborating across functions and influencing stakeholders at pace.
Expertise at hiring across Machine Learning and Research
Fluency with structured interviewing, competency rubrics, and recruiting analytics
Commitment to inclusive hiring and candidate experience.
A relentless drive for excellence—raising the bar on candidate quality, process rigor, and stakeholder experience.
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\nABOUT THE ROLE\n\nArena 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 required to be in office 3 days per week. \n\n\n\n\nYOU’LL\n\n - Partner with hiring managers to clarify role outcomes, success profiles, and interview plans; prioritize reqs against business goals.\n\n - Run full-cycle recruiting: kickoff → JD refinement → sourcing → assessment → debriefs → offer → close.\n\n - Build pipelines via targeted sourcing (passive outreach, talent communities, events, referrals, and thoughtful job posts).\n\n - Maintain a structured, fair process: define competencies, calibrate rubrics, and uphold a consistent candidate experience.\n\n - Hold a relentless drive for excellence in every stage—calibrating rubrics, tightening loops, and continuously improving the funnel.\n\n - Track and improve funnel health (speed, quality, diversity signals); report weekly and quarterly progress with clear narrative and metrics.\n\n - Drive offer strategy and negotiations aligned to leveling, compensation bands, and market insights.\n\n - Nurture long-term networks of high-potential talent; keep a mapped bench for critical and future roles.\n\n - Partner on employer brand moments (events, content, communities) that attract deep-tech talent.\n\n - Coach hiring managers and interviewers on best practices and candidate excellence.\n\n\n\n\nYOU’LL HAVE\n\n - 10+ years of full-cycle technical recruiting in deep-tech environments.\n\n - Proven strength sourcing and closing passive candidates for high-bar roles; skilled at narrative selling and objection handling.\n\n - Demonstrated ability to translate business needs into clear hiring plans, profiles, and processes.\n\n - Experience collaborating across functions and influencing stakeholders at pace.\n\n - Expertise at hiring across Machine Learning and Research \n\n - Fluency with structured interviewing, competency rubrics, and recruiting analytics\n\n - Commitment to inclusive hiring and candidate experience.\n\n - A relentless drive for excellence—raising the bar on candidate quality, process rigor, and stakeholder experience.\n\n\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":"$150K – $260K","scrapeableCompensationSalarySummary":"$150K - $260K","compensationTiers":[{"id":"7fcdf70f-aee6-4af6-aecf-09dcbc46ebf6","tierSummary":"$150K – $260K","title":null,"additionalInformation":null,"components":[{"id":"7d10df73-c1bc-4f27-b01c-7bc129e01231","summary":"$150K – $260K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":260000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":260000}]}},{"id":"d1c71ccd-8fbf-42cb-82b5-06694e1b79f3","title":"Software Engineer - Product Security","department":"Security","team":"Security","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2025-12-18T09:20:59.639+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/d1c71ccd-8fbf-42cb-82b5-06694e1b79f3","applyUrl":"https://jobs.ashbyhq.com/arena/d1c71ccd-8fbf-42cb-82b5-06694e1b79f3/application","descriptionHtml":"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.
This is an engineering role. The work is in the product code: the authorization and identity layer, the API surfaces our users and partners depend on, and the libraries and patterns other engineers build on top of. You will design systems, write production code, and ship on the same cadence as the rest of engineering.
Tens of millions of people use Arena every month to compare frontier models side by side. That makes our product surface an unusual one to defend: consumer scale, high-value partner data, frontier model integrations, and a user population that probes it constantly.
You would define how product security works here, including the patterns, primitives, and defaults other engineers inherit.
You'll work closely with product, infrastructure, and platform engineers. The work is zero-to-one in places and scale-it-up in others. We move fast and stay rigorous.
Own authorization and identity in the product. Design and ship the authentication, authorization, and multi-tenant isolation code across our platform, along with the account, session, device, and credential lifecycle that other systems are built on: issuance, binding, expiry, and revocation. This is code you write, not findings you route.
Solve AI security problems the industry has not settled. Untrusted model output crossing trust boundaries, tool-use and agentic surfaces including sandboxed code execution, isolation between model providers, and the authorization and handling controls around evaluation data. There is little prior art here and no off-the-shelf playbook. You will help write ours.
Build privacy-preserving systems, and implement the data lifecycle in code. Pseudonymous identifiers, secret-backed derivation, and controlled re-identification, with the judgment to tell real pseudonymization from the appearance of it. Retention, deletion, and minimization as working product behavior across every store and pipeline that holds user data, including proving that what should be gone is actually gone.
Make the product explain itself after the fact. Security-relevant events, including authentication, account changes, and privileged actions, need to be emitted from product code as durable, queryable records. You design what gets written, and you write it.
Ship security-sensitive changes end to end. Request paths, partner integrations, data models, telemetry pipelines, and rollout controls that let you turn a change off without a deploy. That includes production migrations and backfills for sensitive data, throttled, resumable, observable, and reversible. It also includes the product integrations for third-party security and trust services, where you design the call paths and define conservative failure behavior.
Own application security across the product, its APIs, and the browser. Content Security Policy and its reporting path, security headers, cookie and origin policy, and the third-party JavaScript running alongside user content. Ship the libraries, middleware, tests, and platform patterns engineers adopt because they are the easiest path. Lead threat modeling early enough to change a design, and own the fix in the codebase rather than the ticket.
We care most about two things: recent hands-on production engineering, and code-level application security judgment.
Production code you have personally written recently that you can walk through in depth: the architecture, how it changed over time, and which parts were yours. We hire software engineers for this role, and the engineering bar is the same as the rest of the team.
Application and API security: you apply it at the code level, not the checklist level. Authorization models, session and token handling, and multi-tenant isolation, with a specific problem you found or fixed that you can explain down to the mechanism.
6+ years of software or security engineering experience, with meaningful time building and shipping production systems at scale.
Strong proficiency in a modern backend language, and the judgment to design interfaces other engineers will live with for years.
Solid data fundamentals. You're comfortable modeling and querying Postgres, you know where security decisions belong in a data layer, and you have run migrations against production data without breaking it.
Working fluency with cryptographic application primitives: HMACs, secure random generation, key and secret rotation, and the ways sensitive data leaks through logs, traces, and stored payloads.
Exposure to securing AI, agentic, or LLM-backed systems in production, or the appetite to go deep on it quickly. This is where the newest and least-solved work sits.
Multi-tenant systems experience where isolation is a hard requirement, and the tenants have competing interests.
Offensive instincts. You can find the flaw yourself, and you would rather build the thing that finds all of them.
Threat modeling and secure architecture design on systems you did not build. You can read an unfamiliar codebase, identify the security-critical design assumptions, and change the design before it ships.
A product-oriented mindset. You think about the developer experience of what you build, and about what a security control costs the people who use it. You ask \"why\" before \"how.\"
The ability to turn legal and policy requirements into working systems. Retention, deletion, user rights, and partner obligations arrive as constraints, and you translate them into data models and product behavior that hold up under scrutiny.
Clear communication. You routinely build alignment across engineering, product, legal, and leadership.
Comfort with ambiguity. We're a startup. Scope is fluid, context shifts, and you'll wear many hats.
TypeScript
Go
Python
Postgres
Hono
Next.js + React
Terraform + Spacelift
Vitest
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\nABOUT THE ROLE\n\nThis is an engineering role. The work is in the product code: the authorization and identity layer, the API surfaces our users and partners depend on, and the libraries and patterns other engineers build on top of. You will design systems, write production code, and ship on the same cadence as the rest of engineering.\n\nTens of millions of people use Arena every month to compare frontier models side by side. That makes our product surface an unusual one to defend: consumer scale, high-value partner data, frontier model integrations, and a user population that probes it constantly.\n\nYou would define how product security works here, including the patterns, primitives, and defaults other engineers inherit.\n\nYou'll work closely with product, infrastructure, and platform engineers. The work is zero-to-one in places and scale-it-up in others. We move fast and stay rigorous.\n\n\n\n\nWHAT YOU'LL DO\n\nOwn authorization and identity in the product. Design and ship the authentication, authorization, and multi-tenant isolation code across our platform, along with the account, session, device, and credential lifecycle that other systems are built on: issuance, binding, expiry, and revocation. This is code you write, not findings you route.\n\nSolve AI security problems the industry has not settled. Untrusted model output crossing trust boundaries, tool-use and agentic surfaces including sandboxed code execution, isolation between model providers, and the authorization and handling controls around evaluation data. There is little prior art here and no off-the-shelf playbook. You will help write ours.\n\nBuild privacy-preserving systems, and implement the data lifecycle in code. Pseudonymous identifiers, secret-backed derivation, and controlled re-identification, with the judgment to tell real pseudonymization from the appearance of it. Retention, deletion, and minimization as working product behavior across every store and pipeline that holds user data, including proving that what should be gone is actually gone.\n\nMake the product explain itself after the fact. Security-relevant events, including authentication, account changes, and privileged actions, need to be emitted from product code as durable, queryable records. You design what gets written, and you write it.\n\nShip security-sensitive changes end to end. Request paths, partner integrations, data models, telemetry pipelines, and rollout controls that let you turn a change off without a deploy. That includes production migrations and backfills for sensitive data, throttled, resumable, observable, and reversible. It also includes the product integrations for third-party security and trust services, where you design the call paths and define conservative failure behavior.\n\nOwn application security across the product, its APIs, and the browser. Content Security Policy and its reporting path, security headers, cookie and origin policy, and the third-party JavaScript running alongside user content. Ship the libraries, middleware, tests, and platform patterns engineers adopt because they are the easiest path. Lead threat modeling early enough to change a design, and own the fix in the codebase rather than the ticket.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\nWe care most about two things: recent hands-on production engineering, and code-level application security judgment.\n\n 1. Production code you have personally written recently that you can walk through in depth: the architecture, how it changed over time, and which parts were yours. We hire software engineers for this role, and the engineering bar is the same as the rest of the team.\n\n 2. Application and API security: you apply it at the code level, not the checklist level. Authorization models, session and token handling, and multi-tenant isolation, with a specific problem you found or fixed that you can explain down to the mechanism.\n\n - 6+ years of software or security engineering experience, with meaningful time building and shipping production systems at scale.\n\n - Strong proficiency in a modern backend language, and the judgment to design interfaces other engineers will live with for years.\n\n - Solid data fundamentals. You're comfortable modeling and querying Postgres, you know where security decisions belong in a data layer, and you have run migrations against production data without breaking it.\n\n - Working fluency with cryptographic application primitives: HMACs, secure random generation, key and secret rotation, and the ways sensitive data leaks through logs, traces, and stored payloads.\n\n - Exposure to securing AI, agentic, or LLM-backed systems in production, or the appetite to go deep on it quickly. This is where the newest and least-solved work sits.\n\n - Multi-tenant systems experience where isolation is a hard requirement, and the tenants have competing interests.\n\n - Offensive instincts. You can find the flaw yourself, and you would rather build the thing that finds all of them.\n\n - Threat modeling and secure architecture design on systems you did not build. You can read an unfamiliar codebase, identify the security-critical design assumptions, and change the design before it ships.\n\n - A product-oriented mindset. You think about the developer experience of what you build, and about what a security control costs the people who use it. You ask \"why\" before \"how.\"\n\n - The ability to turn legal and policy requirements into working systems. Retention, deletion, user rights, and partner obligations arrive as constraints, and you translate them into data models and product behavior that hold up under scrutiny.\n\n - Clear communication. You routinely build alignment across engineering, product, legal, and leadership.\n\n - Comfort with ambiguity. We're a startup. Scope is fluid, context shifts, and you'll wear many hats.\n\n\n\n\nOUR TECH STACK\n\n - TypeScript\n\n - Go\n\n - Python\n\n - Postgres\n\n - Hono\n\n - Next.js + React\n\n - Terraform + Spacelift\n\n - Vitest\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":"$150K – $350K","scrapeableCompensationSalarySummary":"$150K - $350K","compensationTiers":[{"id":"168f3792-bf75-4190-98b4-e08d337f7d3f","tierSummary":"$150K – $350K","title":null,"additionalInformation":null,"components":[{"id":"a1a6bb49-a8b9-477f-8a7e-5282427b0707","summary":"$150K – $350K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":350000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":350000}]}},{"id":"8a52db07-5ba9-4d64-a08f-1b1f6cd88c5a","title":"Software Engineer - ML Infrastructure","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2025-12-18T09:46:50.063+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/8a52db07-5ba9-4d64-a08f-1b1f6cd88c5a","applyUrl":"https://jobs.ashbyhq.com/arena/8a52db07-5ba9-4d64-a08f-1b1f6cd88c5a/application","descriptionHtml":"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.
Arena Intelligence is seeking an ML Infrastructure Software Engineer to lead the design and development of scalable, low-latency model inference infrastructure, high-performance post-training infrastructure for reinforcement learning (RL), distributed ML training job execution, and comprehensive model evaluation frameworks. In this role, you’ll architect systems that execute complex training, inference, and evaluation workloads at scale, powering the insights that help researchers and developers build the world’s most advanced AI models. Working in close partnership with ML researchers, your contributions will be foundational to surfacing trustworthy, transparent, and timely evaluation and training signals across the platform. This role is ideal for someone who thrives in fast-moving environments, cares deeply about performance and reliability, and wants to build systems that advance state-of-the-art AI capabilities.
Architect, scale, and optimize LLM post-training infrastructure tailored for reinforcement learning (RL) alongside with low-latency model inference services
Design and maintain robust job execution systems for large-scale distributed ML training and fine-tuning workloads
Build comprehensive, automated model evaluation frameworks to deliver rapid, reliable feedback signals to ML researchers
Ensure high availability, low latency, and fault tolerance across GPU clusters and distributed event streams
Collaborate cross-functionally with AI researchers, product leaders, and infrastructure teams to support evolving training and evaluation needs
5+ years of experience in software engineering, with a focused background in ML infrastructure, distributed systems, or large-scale data platform engineering
Hands-on experience with PyTorch, model serving engines, and distributed training frameworks
Solid background in reinforcement learning (RL) post-training infrastructure, RLHF, or automated model evaluation pipelines
Proven ability to design and operate low-latency, high-throughput, and fault-tolerant distributed services at scale
Strong foundation in systems design, GPU cluster utilization, and performance tuning
Thrive in a fast-paced, high-ownership environment working closely with ML researchers
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\nABOUT THE ROLE\n\nArena Intelligence is seeking an ML Infrastructure Software Engineer to lead the design and development of scalable, low-latency model inference infrastructure, high-performance post-training infrastructure for reinforcement learning (RL), distributed ML training job execution, and comprehensive model evaluation frameworks. In this role, you’ll architect systems that execute complex training, inference, and evaluation workloads at scale, powering the insights that help researchers and developers build the world’s most advanced AI models. Working in close partnership with ML researchers, your contributions will be foundational to surfacing trustworthy, transparent, and timely evaluation and training signals across the platform. This role is ideal for someone who thrives in fast-moving environments, cares deeply about performance and reliability, and wants to build systems that advance state-of-the-art AI capabilities.\n\n\n\n\nYOU’LL\n\n - Architect, scale, and optimize LLM post-training infrastructure tailored for reinforcement learning (RL) alongside with low-latency model inference services\n\n - Design and maintain robust job execution systems for large-scale distributed ML training and fine-tuning workloads\n\n - Build comprehensive, automated model evaluation frameworks to deliver rapid, reliable feedback signals to ML researchers\n\n - Ensure high availability, low latency, and fault tolerance across GPU clusters and distributed event streams\n\n - Collaborate cross-functionally with AI researchers, product leaders, and infrastructure teams to support evolving training and evaluation needs\n\n\nYOU’LL HAVE\n\n - 5+ years of experience in software engineering, with a focused background in ML infrastructure, distributed systems, or large-scale data platform engineering\n\n - Hands-on experience with PyTorch, model serving engines, and distributed training frameworks\n\n - Solid background in reinforcement learning (RL) post-training infrastructure, RLHF, or automated model evaluation pipelines\n\n - Proven ability to design and operate low-latency, high-throughput, and fault-tolerant distributed services at scale\n\n - Strong foundation in systems design, GPU cluster utilization, and performance tuning\n\n - Thrive in a fast-paced, high-ownership environment working closely with ML researchers\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":"$150K – $350K","scrapeableCompensationSalarySummary":"$150K - $350K","compensationTiers":[{"id":"796e49e4-2fec-47ed-a342-5f98c4311f07","tierSummary":"$150K – $350K","title":null,"additionalInformation":null,"components":[{"id":"13500c31-db8a-4326-87b4-1f5e2c1d8939","summary":"$150K – $350K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":350000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":350000}]}},{"id":"0f4ce213-8537-4a9b-af4f-25139df1b705","title":"Software Engineer - Data Infrastructure","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2025-12-18T09:26:33.645+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/0f4ce213-8537-4a9b-af4f-25139df1b705","applyUrl":"https://jobs.ashbyhq.com/arena/0f4ce213-8537-4a9b-af4f-25139df1b705/application","descriptionHtml":"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.
Arena Intelligence is seeking a Data Infrastructure 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 vote data, directly impacting how we understand and evaluate AI model performance. This role is ideal for someone who thrives in fast-moving environments and interested in building products to ensure accurate and fair evaluation of human preferences across different models, which will shape the direction of future AI development.
As an early member of our data engineering team, you'll partner closely with researchers, engineers, and product leadership to retrieve valuable data and insights from human votes and feedback. You'll help us move fast while staying rigorous, improving data quality, scaling our infrastructure to new levels, and deepening our ability to compare frontier models and predict human preferences.
Design and build robust data pipelines to ingest, process, and transform user vote data to features essential for model performance evaluation.
Collaborate with researchers and product leadership to understand product goals and necessary data.
Design and implement solutions to generate result dashboards and reports, providing useful information for the public, model providers, and researchers.
Ensure the integrity, data quality, and reliability of the pipelines.
Scale our data infrastructure to accommodate increasing data volumes and evolving analytical needs.
5+ years of experience in software engineering, with a dedicated focus on data engineering and big data technologies
Proficiency in SQL and at least one programming language commonly used for data analysis (Python (preferred), Scala, R).
Hands-on experience with data processing and pipeline frameworks (Apache Spark, Ray Data, etc.) and at least one popular big data analytics platform (Databricks, Snowflake).
Demonstrated experience in designing, implementing, optimizing, and debugging production data pipelines.
Prior work in data analytics or datalake platforms.
Experience in advanced data analysis tools, such as Delta lake, streaming tables.
Exposure to machine learning is a plus.
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\n\n\nABOUT THE ROLE\n\nArena Intelligence is seeking a Data Infrastructure 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 vote data, directly impacting how we understand and evaluate AI model performance. This role is ideal for someone who thrives in fast-moving environments and interested in building products to ensure accurate and fair evaluation of human preferences across different models, which will shape the direction of future AI development.\n\nAs an early member of our data engineering team, you'll partner closely with researchers, engineers, and product leadership to retrieve valuable data and insights from human votes and feedback. You'll help us move fast while staying rigorous, improving data quality, scaling our infrastructure to new levels, and deepening our ability to compare frontier models and predict human preferences.\n\n\n\n\nYOU’LL\n\n - Design and build robust data pipelines to ingest, process, and transform user vote data to features essential for model performance evaluation.\n\n - Collaborate with researchers and product leadership to understand product goals and necessary data.\n\n - Design and implement solutions to generate result dashboards and reports, providing useful information for the public, model providers, and researchers.\n\n - Ensure the integrity, data quality, and reliability of the pipelines.\n\n - Scale our data infrastructure to accommodate increasing data volumes and evolving analytical needs.\n\n\n\n\nYOU’LL HAVE\n\n - 5+ years of experience in software engineering, with a dedicated focus on data engineering and big data technologies\n\n - Proficiency in SQL and at least one programming language commonly used for data analysis (Python (preferred), Scala, R).\n\n - Hands-on experience with data processing and pipeline frameworks (Apache Spark, Ray Data, etc.) and at least one popular big data analytics platform (Databricks, Snowflake).\n\n - Demonstrated experience in designing, implementing, optimizing, and debugging production data pipelines.\n\n\nBONUS POINTS\n\n - Prior work in data analytics or datalake platforms.\n\n - Experience in advanced data analysis tools, such as Delta lake, streaming tables.\n\n - Exposure to machine learning is a plus.\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":"$150K – $350K","scrapeableCompensationSalarySummary":"$150K - $350K","compensationTiers":[{"id":"36aa40cd-cba5-441c-9ded-f8b6e5a094fb","tierSummary":"$150K – $350K","title":null,"additionalInformation":null,"components":[{"id":"e1879d10-d533-41f5-a34d-0608ca199c03","summary":"$150K – $350K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":350000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":350000}]}},{"id":"38c21c97-1852-4cd1-b618-2f5fe0492202","title":"Machine Learning Scientist - ML Research","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2025-12-18T08:49:07.018+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/38c21c97-1852-4cd1-b618-2f5fe0492202","applyUrl":"https://jobs.ashbyhq.com/arena/38c21c97-1852-4cd1-b618-2f5fe0492202/application","descriptionHtml":"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.
Arena Intelligence is seeking a variety of machine learning scientists 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 scientific foundations of understanding AI at scale.
This role is deeply interdisciplinary. You’ll work closely with engineers, product teams, marketing and the broader research community to develop new methods for comparing models, analyzing preference data, and disentangling performance factors like style, reasoning, and robustness. Your work will inform both the public leaderboard and the tools we provide to model developers.
If you’re excited by open-ended questions, rigorous evaluation, and research that’s grounded in real-world impact, you’ll find a meaningful home here. We’re looking for:
Hands-on experience training large-scale models, including reward models, preference models, and fine-tuning LLMs with methods like RLHF, DPO, and contrastive learning.
Strong foundation in ML and statistics, with a track record of designing novel training objectives, evaluation schemes, or statistical frameworks to improve model reliability and alignment.
Fluent in the full experimental stack, from dataset design and large-batch training to rigorous evaluation and ablation, with an eye for what scales to production.
Deeply collaborative mindset, working closely with engineers to productionize research insights and iterating with product teams to align modeling goals with user needs.
Design and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensions
Develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks
Analyze large-scale human voting and interaction data to uncover insights into model performance and user preferences
Collaborate with engineers to implement and scale research findings into production systems
Prototype and test research ideas rapidly, balancing rigor with iteration speed
Author internal reports and external publications that contribute to the broader ML research community
Partner with model providers to shape evaluation questions and support responsible model testing
Contribute to the scientific integrity and transparency of the Arena Intelligence leaderboard and tools
PhD or equivalent research experience in Machine Learning, Natural Language Processing, Statistics, or a related field
Strong understanding of LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback)
Proficiency in Python and ML research libraries such as PyTorch, JAX, or TensorFlow
Demonstrated ability to design and analyze experiments with statistical rigor
Experience publishing research or working on open-source projects in ML, NLP, or AI evaluation
Comfortable working with real-world usage data and designing metrics beyond standard benchmarks
Ability to translate research questions into practical systems and collaborate across engineering and product teams
Passion for open science, reproducibility, and community-driven research.
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\nABOUT THE ROLE\n\nArena Intelligence is seeking a variety of machine learning scientists 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 scientific foundations of understanding AI at scale. \n\nThis role is deeply interdisciplinary. You’ll work closely with engineers, product teams, marketing and the broader research community to develop new methods for comparing models, analyzing preference data, and disentangling performance factors like style, reasoning, and robustness. Your work will inform both the public leaderboard and the tools we provide to model developers.\n\nIf you’re excited by open-ended questions, rigorous evaluation, and research that’s grounded in real-world impact, you’ll find a meaningful home here. We’re looking for:\n\n - Hands-on experience training large-scale models, including reward models, preference models, and fine-tuning LLMs with methods like RLHF, DPO, and contrastive learning.\n\n - Strong foundation in ML and statistics, with a track record of designing novel training objectives, evaluation schemes, or statistical frameworks to improve model reliability and alignment.\n\n - Fluent in the full experimental stack, from dataset design and large-batch training to rigorous evaluation and ablation, with an eye for what scales to production.\n\n - Deeply collaborative mindset, working closely with engineers to productionize research insights and iterating with product teams to align modeling goals with user needs.\n\n\n\n\nYOU’LL\n\n - Design and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensions\n\n - Develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks\n\n - Analyze large-scale human voting and interaction data to uncover insights into model performance and user preferences\n\n - Collaborate with engineers to implement and scale research findings into production systems\n\n - Prototype and test research ideas rapidly, balancing rigor with iteration speed\n\n - Author internal reports and external publications that contribute to the broader ML research community\n\n - Partner with model providers to shape evaluation questions and support responsible model testing\n\n - Contribute to the scientific integrity and transparency of the Arena Intelligence leaderboard and tools\n\n\n\n\nYOU’LL HAVE\n\n - PhD or equivalent research experience in Machine Learning, Natural Language Processing, Statistics, or a related field\n\n - Strong understanding of LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback)\n Proficiency in Python and ML research libraries such as PyTorch, JAX, or TensorFlow\n\n - Demonstrated ability to design and analyze experiments with statistical rigor\n\n - Experience publishing research or working on open-source projects in ML, NLP, or AI evaluation\n\n - Comfortable working with real-world usage data and designing metrics beyond standard benchmarks\n\n - Ability to translate research questions into practical systems and collaborate across engineering and product teams\n\n - Passion for open science, reproducibility, and community-driven research.\n\n\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"f6a27633-8be9-4973-955a-69dc3c14f713","title":"Software Engineer - Full Stack","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-16T22:51:29.585+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/f6a27633-8be9-4973-955a-69dc3c14f713","applyUrl":"https://jobs.ashbyhq.com/arena/f6a27633-8be9-4973-955a-69dc3c14f713/application","descriptionHtml":"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.
We're looking for a Full Stack 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 every day, cares deeply about what happens after launch, and is excited to shape how people interact with cutting-edge AI.
Own features from technical scoping through deployment and post-launch iteration — not just build them, but make sure they work
Design and extend schemas, APIs, and business logic to support new product capabilities
Ship high-quality product code across the stack
Incorporate real user feedback — from data, direct user contact, or your own product instincts — to improve what you've shipped
Work closely with ML researchers to turn research services to production, making them consumable for product development
Collaborate across design, product, and engineering to figure out what to build, not just how
Identify and advocate for improvements to development, testing, and deployment practices
3+ years of experience in software engineering, with a focus on enterprise or developer-facing product development
Experience building user-facing web applications spanning frontend, backend/API, and database — in any stack. You understand the request lifecycle across layers
Clear, concise communication — you explain technical decisions well, distinguish your work from the team's, and proactively share context
Evidence of shipping and iterating — you can describe the full arc of a feature you owned: problem, solution, code, what happened after launch, and what you'd change now
A product engineering identity — you care about whether the thing you built actually worked for users, not just whether the code was clean
Genuine curiosity about AI evaluation and Arena's mission — you've looked at the product and can articulate why this domain matters to you
Familiarity with our stack: NextJS, React, TypeScript, Tailwind, ShadCN, HonoJS, Postgres, Vitest
Experience with Supabase or Vercel's AI SDK
You've shipped without PM or design support — determined what to build by talking to users or looking at data
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\nABOUT THE ROLE\n\nWe're looking for a Full Stack 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 every day, cares deeply about what happens after launch, and is excited to shape how people interact with cutting-edge AI.\n\n \n\n\nYOU’LL\n\n - Own features from technical scoping through deployment and post-launch iteration — not just build them, but make sure they work\n\n - Design and extend schemas, APIs, and business logic to support new product capabilities\n\n - Ship high-quality product code across the stack\n\n - Incorporate real user feedback — from data, direct user contact, or your own product instincts — to improve what you've shipped\n\n - Work closely with ML researchers to turn research services to production, making them consumable for product development\n\n - Collaborate across design, product, and engineering to figure out what to build, not just how\n\n - Identify and advocate for improvements to development, testing, and deployment practices\n\n\nYOU’LL HAVE\n\n - 3+ years of experience in software engineering, with a focus on enterprise or developer-facing product development\n\n - Experience building user-facing web applications spanning frontend, backend/API, and database — in any stack. You understand the request lifecycle across layers\n\n - Clear, concise communication — you explain technical decisions well, distinguish your work from the team's, and proactively share context\n\n - Evidence of shipping and iterating — you can describe the full arc of a feature you owned: problem, solution, code, what happened after launch, and what you'd change now\n\n - A product engineering identity — you care about whether the thing you built actually worked for users, not just whether the code was clean\n\n - Genuine curiosity about AI evaluation and Arena's mission — you've looked at the product and can articulate why this domain matters to you\n\n\nBONUS POINTS\n\n - Familiarity with our stack: NextJS, React, TypeScript, Tailwind, ShadCN, HonoJS, Postgres, Vitest\n\n - Experience with Supabase or Vercel's AI SDK\n\n - You've shipped without PM or design support — determined what to build by talking to users or looking at data\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"33a9584b-8f94-4478-8253-605da4bcc65c","title":"Product Solutions Engineer ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-02-23T22:29:10.761+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/33a9584b-8f94-4478-8253-605da4bcc65c","applyUrl":"https://jobs.ashbyhq.com/arena/33a9584b-8f94-4478-8253-605da4bcc65c/application","descriptionHtml":"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.
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 plug into their research roadmap, understand where they’re headed, and help them get real value from our data. Along the way, you’ll spot gaps, surface new opportunities, and help shape what we build next.
Second, you’ll roll up your sleeves and build. You’ll take on specific customer engineering asks and ship solutions that push the frontier of what our platform can do. Some of what you build may eventually scale into our Data or Applied ML stack — but it starts with solving real, high-impact problems for cutting-edge AI teams.
Own 5–15 active model lab relationships as the day-to-day point of contact
Partner directly with researchers and product teams to integrate models, run evals, and deliver high-quality results
Drive consistent delivery across onboarding, data + product releases, co-launches, and unblock unexpected issues fast
Be the “owner” of a key process improvement or automation (e.g., model onboarding flow, customer data insights, delivery tooling)
Translate customer feedback and research direction into concrete product ideas and engineering work
Work across the stack to ship pragmatic solutions that push the frontier for our customers
Help expand strategic accounts through trust, execution, and sharp technical judgment
4+ years of software engineering experience with strong fundamentals (data structures, algorithms, system design)
Production experience in TypeScript and modern web frameworks
Hands-on experience integrating LLM provider APIs, including streaming responses
Comfort moving across frontend and backend — you’re willing to dig in wherever the problem is
Familiarity with cloud infrastructure and CI/CD workflows
Strong problem-solving instincts and the ability to operate in ambiguity
Clear, concise communication skills — you can explain complex technical ideas to both engineers and non-technical stakeholders
A customer-first mindset and a genuine desire to work closely with multiple stakeholders
A bachelor's degree and/or masters degree in computer science, engineering, mathematics, or a related field
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\nABOUT THE ROLE\n\nThis role has two core parts, both centered around working closely with the best AI labs in the world.\n\nFirst, 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 plug into their research roadmap, understand where they’re headed, and help them get real value from our data. Along the way, you’ll spot gaps, surface new opportunities, and help shape what we build next.\n\nSecond, you’ll roll up your sleeves and build. You’ll take on specific customer engineering asks and ship solutions that push the frontier of what our platform can do. Some of what you build may eventually scale into our Data or Applied ML stack — but it starts with solving real, high-impact problems for cutting-edge AI teams.\n\n\n\n\nYOU’LL\n\n - Own 5–15 active model lab relationships as the day-to-day point of contact\n\n - Partner directly with researchers and product teams to integrate models, run evals, and deliver high-quality results\n\n - Drive consistent delivery across onboarding, data + product releases, co-launches, and unblock unexpected issues fast\n\n - Be the “owner” of a key process improvement or automation (e.g., model onboarding flow, customer data insights, delivery tooling)\n\n - Translate customer feedback and research direction into concrete product ideas and engineering work\n\n - Work across the stack to ship pragmatic solutions that push the frontier for our customers\n\n - Help expand strategic accounts through trust, execution, and sharp technical judgment\n\n\nYOU’LL HAVE\n\n - 4+ years of software engineering experience with strong fundamentals (data structures, algorithms, system design)\n\n - Production experience in TypeScript and modern web frameworks\n\n - Hands-on experience integrating LLM provider APIs, including streaming responses\n\n - Comfort moving across frontend and backend — you’re willing to dig in wherever the problem is\n\n - Familiarity with cloud infrastructure and CI/CD workflows\n\n - Strong problem-solving instincts and the ability to operate in ambiguity\n\n - Clear, concise communication skills — you can explain complex technical ideas to both engineers and non-technical stakeholders\n\n - A customer-first mindset and a genuine desire to work closely with multiple stakeholders\n\n - A bachelor's degree and/or masters degree in computer science, engineering, mathematics, or a related field\n\n\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":"$150K – $250K","scrapeableCompensationSalarySummary":"$150K - $250K","compensationTiers":[{"id":"a4a0eb08-e5b3-4b3b-9564-1e3c39d1a070","tierSummary":"$150K – $250K","title":null,"additionalInformation":null,"components":[{"id":"8a34cf1e-0b10-47b3-9f15-b2145f97ed66","summary":"$150K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":250000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":250000}]}},{"id":"119355e2-857d-431e-bc95-5e2c525b16e9","title":"GTM Strategy & Ops Lead","department":"Finance & Accounting","team":"Finance & Accounting","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-08-12T14:43:01.645+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/119355e2-857d-431e-bc95-5e2c525b16e9","applyUrl":"https://jobs.ashbyhq.com/arena/119355e2-857d-431e-bc95-5e2c525b16e9/application","descriptionHtml":"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 builds the evaluation layer for AI, and our customers are the labs and enterprises building at the frontier. We're seeking a GTM Strategy and Operations Lead to help shape where we grow and to own the commercial foundation that supports it.
You'll work with the founders, go-to-market leadership, and finance on the decisions that set our trajectory: how we run pipeline and forecast, how we support the sales team, how we price and package, which markets to pursue. You'll also own the infrastructure underneath them, from the reporting that sales and finance both work from through deal structuring and quote-to-cash.
Reporting to the Head of Finance, you'll join a small team where most of this is still being built. We're looking for someone comfortable moving between a strategy recommendation and the data model behind what an account actually consumed, and who finds that combination interesting rather than daunting.
You'll
Run the go-to-market operating cadence, including pipeline reviews, forecast discipline, and the business reviews that give sales leadership a clear read on performance.
Define and build the pipeline and usage reporting that GTM and finance both work from.
Be the operational partner to the sales team, owning the analysis, account-level visibility, and process support they need.
Set pricing and packaging strategy and carry it through to execution, covering rate card design, discount guardrails, and how new products get monetized before they ship.
Develop the go-to-market approach for new segments, from sizing the opportunity and building the investment case through the coverage model, packaging, and process needed to sell into them.
Run the deal desk, structuring and pressure-testing large commercial agreements alongside the go-to-market team, and turning what gets signed into repeatable process.
Own quote-to-cash from order form through metering, consumption tracking, and billing accuracy, in partnership with accounting.
Partner with product and engineering so new SKUs launch instrumented, billable, and correctly represented in systems.
You'll have
6+ years of experience across GTM strategy, revenue operations, sales strategy, deal desk, or management consulting, including time at a high-growth technology company selling to enterprises.
Experience running go-to-market operating rhythms (pipeline reviews, forecasting, and performance reporting) as the operational partner a sales team relies on.
Direct experience with pricing and packaging decisions, and fluency in consumption or usage-based revenue models.
A track record of structuring ambiguous commercial problems, including large non-standard agreements, and staying with them through implementation into systems and process.
Working knowledge of quote-to-cash mechanics, including where the handoffs between CRM, billing, and accounting usually break.
Comfort pulling your own data using SQL or a BI tool.
Fluent with AI and vibe coding in your daily workflow, with the judgment to know when the answer requires doing the work yourself.
Strong written and verbal communication, with the ability to hold a position with sales leadership and executives.
High ownership and sound instincts about when a process is worth building.
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\n\nAbout the Role\n\nArena Intelligence builds the evaluation layer for AI, and our customers are the labs and enterprises building at the frontier. We're seeking a GTM Strategy and Operations Lead to help shape where we grow and to own the commercial foundation that supports it.\n\nYou'll work with the founders, go-to-market leadership, and finance on the decisions that set our trajectory: how we run pipeline and forecast, how we support the sales team, how we price and package, which markets to pursue. You'll also own the infrastructure underneath them, from the reporting that sales and finance both work from through deal structuring and quote-to-cash.\n\nReporting to the Head of Finance, you'll join a small team where most of this is still being built. We're looking for someone comfortable moving between a strategy recommendation and the data model behind what an account actually consumed, and who finds that combination interesting rather than daunting.\n\n\n\nYou'll\n\n - Run the go-to-market operating cadence, including pipeline reviews, forecast discipline, and the business reviews that give sales leadership a clear read on performance.\n\n - Define and build the pipeline and usage reporting that GTM and finance both work from.\n\n - Be the operational partner to the sales team, owning the analysis, account-level visibility, and process support they need.\n\n - Set pricing and packaging strategy and carry it through to execution, covering rate card design, discount guardrails, and how new products get monetized before they ship.\n\n - Develop the go-to-market approach for new segments, from sizing the opportunity and building the investment case through the coverage model, packaging, and process needed to sell into them.\n\n - Run the deal desk, structuring and pressure-testing large commercial agreements alongside the go-to-market team, and turning what gets signed into repeatable process.\n\n - Own quote-to-cash from order form through metering, consumption tracking, and billing accuracy, in partnership with accounting.\n\n - Partner with product and engineering so new SKUs launch instrumented, billable, and correctly represented in systems.\n \n \n\nYou'll have\n\n - 6+ years of experience across GTM strategy, revenue operations, sales strategy, deal desk, or management consulting, including time at a high-growth technology company selling to enterprises.\n\n - Experience running go-to-market operating rhythms (pipeline reviews, forecasting, and performance reporting) as the operational partner a sales team relies on.\n\n - Direct experience with pricing and packaging decisions, and fluency in consumption or usage-based revenue models.\n\n - A track record of structuring ambiguous commercial problems, including large non-standard agreements, and staying with them through implementation into systems and process.\n\n - Working knowledge of quote-to-cash mechanics, including where the handoffs between CRM, billing, and accounting usually break.\n\n - Comfort pulling your own data using SQL or a BI tool.\n\n - Fluent with AI and vibe coding in your daily workflow, with the judgment to know when the answer requires doing the work yourself.\n\n - Strong written and verbal communication, with the ability to hold a position with sales leadership and executives.\n\n - High ownership and sound instincts about when a process is worth building.\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"6805896b-c5ff-412d-9490-0f0f0c6fd149","title":"Associate General Counsel - AI Product & Privacy","department":"Legal","team":"Legal","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-07-14T01:49:31.228+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/6805896b-c5ff-412d-9490-0f0f0c6fd149","applyUrl":"https://jobs.ashbyhq.com/arena/6805896b-c5ff-412d-9490-0f0f0c6fd149/application","descriptionHtml":"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.
• Counsel Product & Engineering: Serve as the embedded legal partner to product and engineering teams, advising on privacy regulation, intellectual property, enterprise use cases, consumer protection, and more from concept through launch.
• Lead Privacy Compliance: Own Arena's global privacy program, including compliance with GDPR, CCPA/CPRA, and the broader international privacy landscape with an emphasis on privacy-by-design and product architecture.
• Drive AI Governance: Advise on the responsible development of AI products and emerging regulations related to AI model, agent, and tool development and deployment. Help shape how the company navigates novel questions at the intersection of privacy, AI, and human evaluation.
• Support Commercial Transactions: Design and maintain the contractual and operational frameworks governing the company’s data flows. Negotiate privacy provisions and agreements with customers, partners, and vendors.
• Process & Technology Optimization: Build and scale our privacy and product legal processes, creating playbooks, and implementing systems to support a high-growth organization. Build agents and internal software to support our operations, and procure cutting-edge legal tech tools that allow us to integrate home-grown and vendor-built software with ease.
• Experience: 8+ years of legal experience in privacy and product counseling at a top-tier law firm and/or in-house legal department, ideally with experience counseling on consumer products.
• Education: JD and active membership in at least one U.S. state bar (California preferred) in good standing.
• Privacy Expertise: A proven track record of independently building and running a global privacy program, with deep, hands-on familiarity with GDPR, CCPA/CPRA, and cross-border data transfer mechanisms.
• Product Counseling: Demonstrated ability to advise product and engineering teams in real time, translating legal requirements into practical, build-ready guidance without slowing the team down.
• Strategic Thinking: Ability to think strategically at a high level and from deep in the details to drive complex problem-solving and develop creative, business-forward solutions.
• Risk Calibration: Ability to calibrate risk, distinguish business from legal risk, and communicate it clearly to executive, product, and technical audiences.
• Collaboration: Roll-up-your-sleeves attitude to tackle projects large and small with a low-ego, collaborative approach across the organization.
• Agility and Organization: Ability to think quickly in a fast-paced environment with excellent organizational and communication skills, particularly under launch and regulatory deadlines.
• Technical Fluency: Deep interest in artificial intelligence, generative AI, and machine learning technology, with the ability to engage effectively with technical teams on data architecture and evaluation issues.
• Vibe Coding Experience: Ability to build and iterate on your own tools and a creative problem solving approach to building human-in-the-loop workflows that allow us to scale legal advice and work product. Experience working with tools like Cursor, Claude Code, Replit, Loveable, and/or Retool.
Bonus Points
• Experience advising on consumer products or multi-sided marketplaces and building global privacy programs focused on controller responsibility.
• Experience advising on de-identification and anonymization data pipelines.
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\nYOU'LL\n\n• Counsel Product & Engineering: Serve as the embedded legal partner to product and engineering teams, advising on privacy regulation, intellectual property, enterprise use cases, consumer protection, and more from concept through launch.\n\n• Lead Privacy Compliance: Own Arena's global privacy program, including compliance with GDPR, CCPA/CPRA, and the broader international privacy landscape with an emphasis on privacy-by-design and product architecture.\n\n• Drive AI Governance: Advise on the responsible development of AI products and emerging regulations related to AI model, agent, and tool development and deployment. Help shape how the company navigates novel questions at the intersection of privacy, AI, and human evaluation.\n\n• Support Commercial Transactions: Design and maintain the contractual and operational frameworks governing the company’s data flows. Negotiate privacy provisions and agreements with customers, partners, and vendors.\n\n• Process & Technology Optimization: Build and scale our privacy and product legal processes, creating playbooks, and implementing systems to support a high-growth organization. Build agents and internal software to support our operations, and procure cutting-edge legal tech tools that allow us to integrate home-grown and vendor-built software with ease.\n\n\nYOU'LL HAVE\n\n• Experience: 8+ years of legal experience in privacy and product counseling at a top-tier law firm and/or in-house legal department, ideally with experience counseling on consumer products.\n\n• Education: JD and active membership in at least one U.S. state bar (California preferred) in good standing.\n\n• Privacy Expertise: A proven track record of independently building and running a global privacy program, with deep, hands-on familiarity with GDPR, CCPA/CPRA, and cross-border data transfer mechanisms.\n\n• Product Counseling: Demonstrated ability to advise product and engineering teams in real time, translating legal requirements into practical, build-ready guidance without slowing the team down.\n\n• Strategic Thinking: Ability to think strategically at a high level and from deep in the details to drive complex problem-solving and develop creative, business-forward solutions.\n\n• Risk Calibration: Ability to calibrate risk, distinguish business from legal risk, and communicate it clearly to executive, product, and technical audiences.\n\n• Collaboration: Roll-up-your-sleeves attitude to tackle projects large and small with a low-ego, collaborative approach across the organization.\n\n• Agility and Organization: Ability to think quickly in a fast-paced environment with excellent organizational and communication skills, particularly under launch and regulatory deadlines.\n\n• Technical Fluency: Deep interest in artificial intelligence, generative AI, and machine learning technology, with the ability to engage effectively with technical teams on data architecture and evaluation issues.\n\n• Vibe Coding Experience: Ability to build and iterate on your own tools and a creative problem solving approach to building human-in-the-loop workflows that allow us to scale legal advice and work product. Experience working with tools like Cursor, Claude Code, Replit, Loveable, and/or Retool.\n\nBonus Points\n\n• Experience advising on consumer products or multi-sided marketplaces and building global privacy programs focused on controller responsibility.\n\n• Experience advising on de-identification and anonymization data pipelines.\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"577240cb-96fd-424f-a178-147ff5413ab1","title":"Software Engineer - Marketing & Web","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-08-27T20:40:31.313+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/577240cb-96fd-424f-a178-147ff5413ab1","applyUrl":"https://jobs.ashbyhq.com/arena/577240cb-96fd-424f-a178-147ff5413ab1/application","descriptionHtml":"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.
We're looking for a frontend-specialized Software Engineer to own Arena's public web surfaces: the blog, marketing pages, and the leaderboard UI that millions of people use to judge how AI models perform.
Own the Arena blog end-to-end
Build and maintain marketing pages (product, features, resources, careers, campaign pages) in the same design system as the product
Improve the public leaderboard frontend: tables, charts, filters, and the UX that makes evaluation data accessible
Keep these surfaces fast, accessible, and indexable
Build CMS models and internal publishing tools so marketing and content can ship without waiting on engineering
6+ years of software engineering, with most of that time on production frontend
A portfolio or shipped work that shows high-craft public pages: marketing sites, content sites, or data-dense product UI
Deep skill in React, TypeScript, Next.js, and CSS — you can implement complex layouts, motion, and responsive design
Enough full-stack skill to work in a product codebase. You can read an API, extend a route, and follow the request lifecycle
Clear communication with designers, marketers, and engineers — you can defend a tradeoff and explain it to a non-engineer
Evidence of shipping and iterating. You can describe a page or surface you owned, what happened after launch, and what you changed
Genuine curiosity about AI evaluation and Arena's mission. You have looked at arena.ai and can say why this public surface matters
Experience with a headless CMS (Sanity, Contentful, or similar): content modeling, structured data, and the operational side of a live site
Leaderboards, data tables, or visualization work (charts, ranking UIs, dense filterable tables)
SEO, Core Web Vitals, structured data / JSON-LD
Animation (Motion, GSAP, or CSS) used with restraint
You've shipped without a dedicated PM — took a brief from marketing or design and drove it to production
Next.js
React + TypeScript
Tailwind + ShadCN
Sanity CMS (blog and marketing pages)
HonoJS
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a frontend-specialized Software Engineer to own Arena's public web surfaces: the blog, marketing pages, and the leaderboard UI that millions of people use to judge how AI models perform.\n\n\nYOU'LL\n\n - Own the Arena blog end-to-end\n\n - Build and maintain marketing pages (product, features, resources, careers, campaign pages) in the same design system as the product\n\n - Improve the public leaderboard frontend: tables, charts, filters, and the UX that makes evaluation data accessible\n\n - Keep these surfaces fast, accessible, and indexable\n\n - Build CMS models and internal publishing tools so marketing and content can ship without waiting on engineering\n\n\nYOU'LL HAVE\n\n - 6+ years of software engineering, with most of that time on production frontend\n\n - A portfolio or shipped work that shows high-craft public pages: marketing sites, content sites, or data-dense product UI\n\n - Deep skill in React, TypeScript, Next.js, and CSS — you can implement complex layouts, motion, and responsive design\n\n - Enough full-stack skill to work in a product codebase. You can read an API, extend a route, and follow the request lifecycle\n\n - Clear communication with designers, marketers, and engineers — you can defend a tradeoff and explain it to a non-engineer\n\n - Evidence of shipping and iterating. You can describe a page or surface you owned, what happened after launch, and what you changed\n\n - Genuine curiosity about AI evaluation and Arena's mission. You have looked at arena.ai http://arena.ai and can say why this public surface matters\n\n\nBONUS\n\n - Experience with a headless CMS (Sanity, Contentful, or similar): content modeling, structured data, and the operational side of a live site\n\n - Leaderboards, data tables, or visualization work (charts, ranking UIs, dense filterable tables)\n\n - SEO, Core Web Vitals, structured data / JSON-LD\n\n - Animation (Motion, GSAP, or CSS) used with restraint\n\n - You've shipped without a dedicated PM — took a brief from marketing or design and drove it to production\n\n\nOUR TECH STACK\n\n - Next.js\n\n - React + TypeScript\n\n - Tailwind + ShadCN\n\n - Sanity CMS (blog and marketing pages)\n\n - HonoJS\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"2ae7eb71-a8d7-4923-8d06-8830ef12d429","title":"Member of Security Staff, Privacy & Trust Ops Lead","department":"Security","team":"Security","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-04T20:12:47.827+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/2ae7eb71-a8d7-4923-8d06-8830ef12d429","applyUrl":"https://jobs.ashbyhq.com/arena/2ae7eb71-a8d7-4923-8d06-8830ef12d429/application","descriptionHtml":"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.
We're hiring the first dedicated owner of privacy, compliance, and trust operations at Arena. This is a build-from-here role. You'll be hands-on from day one, maturing core parts of the program as you go, and you'll decide what to prioritize first.
You'll partner closely with Engineering, driving privacy and trust engineering initiatives, like de-identification, pseudonymous identifiers, and data lifecycle controls, from requirements through to what actually ships in the product.
You'll also work closely with our Legal Team, who own the legal determinations. You own the operations underneath them: the programs that make those decisions real, evidenced, and repeatable.
This role is onsite in our San Francisco office. It works directly with our leadership team, and being in the room is part of the job.
Privacy operations and the commercial data path. The privacy program end-to-end: records of processing, data subject rights, retention, breach notification, and the privacy notices that face millions of users. This also covers the compliance work behind how Arena's data products are packaged and shared externally.
Compliance, risk, and third-party management. The control framework portfolio (SOC 2, ISO 27001, NIST CSF, NIST AI RMF), our continuous compliance monitoring program, and a risk register with accountable business owners. You'll also own third-party risk management end-to-end, and privacy for the API and gateway, including the sub-processor register behind our enterprise customer terms.
Model-provider compliance. Arena's relationships with frontier labs are each their own compliance surface: data processing terms, acceptable-use obligations, provider provenance and screening, and trust operations when something escalates in either direction. This barely exists as a named job anywhere else.
Trust and safety governance. Mandated reporting and the clocks attached to it, evidence preservation, oversight of whether moderation actually works, and the enforcement policy underneath it.
A gate on vendor and provider onboarding: your review has to close before onboarding proceeds
A named escalation path to the Executive Team when a proposed risk treatment is refused
A voice in major product and commercial decisions that touch trust, privacy, or data
Sign-off on compliance representations: nothing goes to a customer, provider, auditor, or regulator claiming a control we don't have
A track record of building a privacy or compliance program somewhere it didn't exist
Enough technical fluency to work directly with engineers on privacy and trust systems, reading a schema, reasoning about a data flow, and driving initiatives like de-identification and data lifecycle controls from requirements through to what ships
Real depth in GDPR and US state privacy regimes: you can run a DPIA yourself and reason about controller/processor boundaries in a genuinely ambiguous relationship
Audit experience from the inside: SOC 2 and ideally ISO 27001, owning evidence and control narratives rather than coordinating someone else who did
Experience owning an external party relationship where the obligations were contractual and the follow-through was on you
Experience on the commercial side of privacy, where the program gates revenue, not just protects data
An obligation you've owned with a real clock on it: mandated reporting, breach notification, regulatory disclosure
Judgment about what's actually risky, and the willingness to say plainly when something is theater
Comfort reasoning from principles on questions that don't have settled regulatory answers yet
Experience working with or inside AI labs, model providers, or platforms with similar provider relationships
NIST AI RMF, ISO 42001, or comparable AI governance work
Trust and safety experience, especially mandated reporting regimes or platform integrity at consumer scale
Privacy engineering background
It is not a policy-writing seat. Policy is an output, not the job.
It is not a checkbox compliance seat. If your instinct is to close a finding by writing a
document that says it is closed, this will not be a good fit.
It is not a product engineering role. If Arena builds new products in this space, they'd sit
with their own dedicated team. This seat sets the governance and boundaries, not the roadmap.
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\nWe're hiring the first dedicated owner of privacy, compliance, and trust operations at Arena. This is a build-from-here role. You'll be hands-on from day one, maturing core parts of the program as you go, and you'll decide what to prioritize first.\n\nYou'll partner closely with Engineering, driving privacy and trust engineering initiatives, like de-identification, pseudonymous identifiers, and data lifecycle controls, from requirements through to what actually ships in the product.\n\nYou'll also work closely with our Legal Team, who own the legal determinations. You own the operations underneath them: the programs that make those decisions real, evidenced, and repeatable.\n\nThis role is onsite in our San Francisco office. It works directly with our leadership team, and being in the room is part of the job.\n\n\n\n\nWHAT YOU'LL OWN\n\nPrivacy operations and the commercial data path. The privacy program end-to-end: records of processing, data subject rights, retention, breach notification, and the privacy notices that face millions of users. This also covers the compliance work behind how Arena's data products are packaged and shared externally.\n\nCompliance, risk, and third-party management. The control framework portfolio (SOC 2, ISO 27001, NIST CSF, NIST AI RMF), our continuous compliance monitoring program, and a risk register with accountable business owners. You'll also own third-party risk management end-to-end, and privacy for the API and gateway, including the sub-processor register behind our enterprise customer terms.\n\nModel-provider compliance. Arena's relationships with frontier labs are each their own compliance surface: data processing terms, acceptable-use obligations, provider provenance and screening, and trust operations when something escalates in either direction. This barely exists as a named job anywhere else.\n\nTrust and safety governance. Mandated reporting and the clocks attached to it, evidence preservation, oversight of whether moderation actually works, and the enforcement policy underneath it.\n\n\n\n\nTHE AUTHORITY THAT COMES WITH IT\n\n - A gate on vendor and provider onboarding: your review has to close before onboarding proceeds\n\n - A named escalation path to the Executive Team when a proposed risk treatment is refused\n\n - A voice in major product and commercial decisions that touch trust, privacy, or data\n\n - Sign-off on compliance representations: nothing goes to a customer, provider, auditor, or regulator claiming a control we don't have\n\n\n\n\nYOU'LL HAVE\n\n - A track record of building a privacy or compliance program somewhere it didn't exist\n\n - Enough technical fluency to work directly with engineers on privacy and trust systems, reading a schema, reasoning about a data flow, and driving initiatives like de-identification and data lifecycle controls from requirements through to what ships\n\n - Real depth in GDPR and US state privacy regimes: you can run a DPIA yourself and reason about controller/processor boundaries in a genuinely ambiguous relationship\n\n - Audit experience from the inside: SOC 2 and ideally ISO 27001, owning evidence and control narratives rather than coordinating someone else who did\n\n - Experience owning an external party relationship where the obligations were contractual and the follow-through was on you\n\n - Experience on the commercial side of privacy, where the program gates revenue, not just protects data\n\n - An obligation you've owned with a real clock on it: mandated reporting, breach notification, regulatory disclosure\n\n - Judgment about what's actually risky, and the willingness to say plainly when something is theater\n\n - Comfort reasoning from principles on questions that don't have settled regulatory answers yet\n\n\n\n\nBONUS POINTS\n\n - Experience working with or inside AI labs, model providers, or platforms with similar provider relationships\n\n - NIST AI RMF, ISO 42001, or comparable AI governance work\n\n - Trust and safety experience, especially mandated reporting regimes or platform integrity at consumer scale\n\n - Privacy engineering background\n\n\n\n\nWHAT THIS ROLE IS NOT\n\n - It is not a policy-writing seat. Policy is an output, not the job.\n\n - It is not a checkbox compliance seat. If your instinct is to close a finding by writing a\n document that says it is closed, this will not be a good fit.\n\n - It is not a product engineering role. If Arena builds new products in this space, they'd sit\n with their own dedicated team. This seat sets the governance and boundaries, not the roadmap.\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"d82adca7-5bd5-4c54-b201-3d027968764d","title":"Applied AI Engineer ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-10T22:19:27.965+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/d82adca7-5bd5-4c54-b201-3d027968764d","applyUrl":"https://jobs.ashbyhq.com/arena/d82adca7-5bd5-4c54-b201-3d027968764d/application","descriptionHtml":"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.
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 plug into their research roadmap, understand where they’re headed, and help them get real value from our data. Along the way, you’ll spot gaps, surface new opportunities, and help shape what we build next.
Second, you’ll roll up your sleeves and build. You’ll take on specific customer engineering asks and ship solutions that push the frontier of what our platform can do. Some of what you build may eventually scale into our Data or Applied ML stack — but it starts with solving real, high-impact problems for cutting-edge AI teams.
Own 5–15 active model lab relationships as the day-to-day point of contact
Partner directly with researchers and product teams to integrate models, run evals, and deliver high-quality results
Drive consistent delivery across onboarding, data + product releases, co-launches, and unblock unexpected issues fast
Be the “owner” of a key process improvement or automation (e.g., model onboarding flow, customer data insights, delivery tooling)
Translate customer feedback and research direction into concrete product ideas and engineering work
Work across the stack to ship pragmatic solutions that push the frontier for our customers
Help expand strategic accounts through trust, execution, and sharp technical judgment
4+ years of software engineering experience with strong fundamentals (data structures, algorithms, system design)
Production experience in TypeScript and modern web frameworks
Hands-on experience integrating LLM provider APIs, including streaming responses
Comfort moving across frontend and backend — you’re willing to dig in wherever the problem is
Familiarity with cloud infrastructure and CI/CD workflows
Strong problem-solving instincts and the ability to operate in ambiguity
Clear, concise communication skills — you can explain complex technical ideas to both engineers and non-technical stakeholders
A customer-first mindset and a genuine desire to work closely with multiple stakeholders
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\nABOUT THE ROLE\n\nThis role has two core parts, both centered around working closely with the best AI labs in the world.\n\nFirst, 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 plug into their research roadmap, understand where they’re headed, and help them get real value from our data. Along the way, you’ll spot gaps, surface new opportunities, and help shape what we build next.\n\nSecond, you’ll roll up your sleeves and build. You’ll take on specific customer engineering asks and ship solutions that push the frontier of what our platform can do. Some of what you build may eventually scale into our Data or Applied ML stack — but it starts with solving real, high-impact problems for cutting-edge AI teams.\n\n\n\n\nYOU’LL\n\n - Own 5–15 active model lab relationships as the day-to-day point of contact\n\n - Partner directly with researchers and product teams to integrate models, run evals, and deliver high-quality results\n\n - Drive consistent delivery across onboarding, data + product releases, co-launches, and unblock unexpected issues fast\n\n - Be the “owner” of a key process improvement or automation (e.g., model onboarding flow, customer data insights, delivery tooling)\n\n - Translate customer feedback and research direction into concrete product ideas and engineering work\n\n - Work across the stack to ship pragmatic solutions that push the frontier for our customers\n\n - Help expand strategic accounts through trust, execution, and sharp technical judgment\n\n\nYOU’LL HAVE\n\n - 4+ years of software engineering experience with strong fundamentals (data structures, algorithms, system design)\n\n - Production experience in TypeScript and modern web frameworks\n\n - Hands-on experience integrating LLM provider APIs, including streaming responses\n\n - Comfort moving across frontend and backend — you’re willing to dig in wherever the problem is\n\n - Familiarity with cloud infrastructure and CI/CD workflows\n\n - Strong problem-solving instincts and the ability to operate in ambiguity\n\n - Clear, concise communication skills — you can explain complex technical ideas to both engineers and non-technical stakeholders\n\n - A customer-first mindset and a genuine desire to work closely with multiple stakeholders\n\n\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":"$150K – $250K","scrapeableCompensationSalarySummary":"$150K - $250K","compensationTiers":[{"id":"10359ea2-eebd-47c3-bc86-bbe09e214174","tierSummary":"$150K – $250K","title":null,"additionalInformation":null,"components":[{"id":"fa8b2755-a39a-4dfe-bda7-0716b3af6ed3","summary":"$150K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":250000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":250000}]}},{"id":"ff1d3a91-273a-44a5-a24d-6caf3e1cb505","title":"Member of Design Staff - Product","department":"Design","team":"Design","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-18T00:11:15.771+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/ff1d3a91-273a-44a5-a24d-6caf3e1cb505","applyUrl":"https://jobs.ashbyhq.com/arena/ff1d3a91-273a-44a5-a24d-6caf3e1cb505/application","descriptionHtml":"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.
Arena is seeking an experienced Product Designer to help craft beautiful, intuitive product experiences for our growing community of users. In this role you will own the end-to-end design of new products and features that are on the bleeding-edge of AI innovation. You will partner closely with engineering, product and ML research to explore, prototype, iterate, test and ship products and features. This role is ideal for someone who is comfortable with ambiguity, has a track record of simplifying complexity, enjoys building products 0-1 and wants to shape the future of how people interact with and evaluate AI.
Lead the end-to-end design process of new features and products.
This means everything from prototyping new ideas, to writing proposals and specs, to working with engineering on scope and implementation, to tracking feedback and data, to iterating post-launch.
Deeply understand our HXC (High Expectation Customer), why they love our product and how they use it.
Understand business goals and user needs with a strong point of view on how we can meaningfully make their experience better and grow our business.
Stay up to date on user feedback and analytics, spot trends and use insights to prioritize work and improve the product.
Help develop and expand our design system to ensure consistency and quality across all product surfaces.
Influence the culture and processes of the design team and drive product vision.
At least 5 years of Product Design experience working on a consumer or developer facing application with a portfolio showcasing:
Visual Design - a very high level of visual design craft, attention to detail and ability to surprise and delight users.
Product Experience - history of shipping features for consumer-facing products, ideally building 0-1 products or working at or with early stage startups.
Impact - track record of making informed, thoughtful design decisions that had a measurable impact on the product’s success.
Ability to make appropriate tradeoffs between short term and long term goals, informed by business and/or user needs.
Strong interaction, visual and design system skillset:
Very strong proficiency in Figma (obviously)
Prototyping tool of your choice, doesn't matter what it is as long as you use it well.
Prototype-first mindset. You build prototypes and test them to inform your design decisions.
Must be comfortable with ambiguity and simplifying complex ideas.
Strong writing skills. You feel comfortable writing a PRD or making edits/changes to one. You have strong visual, verbal and written storytelling skills.
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\nTHE ROLE:\n\nArena is seeking an experienced Product Designer to help craft beautiful, intuitive product experiences for our growing community of users. In this role you will own the end-to-end design of new products and features that are on the bleeding-edge of AI innovation. You will partner closely with engineering, product and ML research to explore, prototype, iterate, test and ship products and features. This role is ideal for someone who is comfortable with ambiguity, has a track record of simplifying complexity, enjoys building products 0-1 and wants to shape the future of how people interact with and evaluate AI.\n\n\n\n\nRESPONSIBILITIES:\n\n - Lead the end-to-end design process of new features and products.\n \n - This means everything from prototyping new ideas, to writing proposals and specs, to working with engineering on scope and implementation, to tracking feedback and data, to iterating post-launch.\n\n - Deeply understand our HXC (High Expectation Customer), why they love our product and how they use it.\n\n - Understand business goals and user needs with a strong point of view on how we can meaningfully make their experience better and grow our business.\n\n - Stay up to date on user feedback and analytics, spot trends and use insights to prioritize work and improve the product.\n\n - Help develop and expand our design system to ensure consistency and quality across all product surfaces.\n\n - Influence the culture and processes of the design team and drive product vision.\n\n\nREQUIREMENTS:\n\n - At least 5 years of Product Design experience working on a consumer or developer facing application with a portfolio showcasing:\n \n - Visual Design - a very high level of visual design craft, attention to detail and ability to surprise and delight users.\n \n - Product Experience - history of shipping features for consumer-facing products, ideally building 0-1 products or working at or with early stage startups.\n \n - Impact - track record of making informed, thoughtful design decisions that had a measurable impact on the product’s success.\n\n - Ability to make appropriate tradeoffs between short term and long term goals, informed by business and/or user needs.\n\n - Strong interaction, visual and design system skillset:\n \n - Very strong proficiency in Figma (obviously)\n \n - Prototyping tool of your choice, doesn't matter what it is as long as you use it well.\n\n - Prototype-first mindset. You build prototypes and test them to inform your design decisions.\n\n - Must be comfortable with ambiguity and simplifying complex ideas.\n\n - Strong writing skills. You feel comfortable writing a PRD or making edits/changes to one. You have strong visual, verbal and written storytelling skills.\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"b06f12c2-5b4d-4dd2-b0f1-f4a97f878284","title":"Software Engineer - Platform","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-24T06:43:29.163+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/b06f12c2-5b4d-4dd2-b0f1-f4a97f878284","applyUrl":"https://jobs.ashbyhq.com/arena/b06f12c2-5b4d-4dd2-b0f1-f4a97f878284/application","descriptionHtml":"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.
Arena Intelligence is looking for a Software Engineer - Platform to build the core infrastructure that sits beneath our online evaluation systems — the AI gateways, automated arena runtimes, and serving layers that make real-world model evaluation possible at scale.
This is a critical part of the Arena Service. Arenas are live, online systems: they route traffic across frontier models from many providers, handle bursty and unpredictable load, need to fail gracefully when upstream models do, and have to remain fair and consistent under all of it. We exist to build foundational infrastructure for our users that scales, is reliable, and makes the complexities of operating this infrastructure at scale disappear. We need a practitioner who's shipped this kind of infrastructure before and knows where the sharp edges are.
Our AI gateway is currently in private, gated launch with individual developers as our primary users today; enterprise use cases will follow later. Next month we're shipping direct model access and new infrastructure features, and Arena may begin collecting usage traces and building leaderboards shared with lab partners — so there's a lot of near-term, zero-to-one work ahead.
You'll be an early member of our infrastructure team, working closely with researchers, engineers, and product leadership. The work is zero-to-one in places and scale-it-up in others. We move fast and stay rigorous.
This is a hands-on individual contributor role — we're not hiring for a tech lead or SRE function right now; everyone on the team is heads-down building.
Build API-based products from the ground up. Design and implement low-latency, high-reliability APIs for leaderboards, models, and arenas.
Solve hard streaming problems. Handle SSE/streaming responses across heterogeneous providers, including partial failure recovery, mid-stream fallback, and consistent response normalization.
Ship enterprise-grade infrastructure. Build the systems enterprise customers will eventually expect — rate limiting, authentication, usage metering, cost attribution, audit logging, and SOC 2 compliance — as we grow beyond our current individual-developer user base.
Build deep observability. Instrument infrastructure with distributed tracing, latency breakdowns, token-level usage tracking, and real-time dashboards so customers (and we) can see exactly what's happening.
Build AI-centered products. Integrate with our core evaluation platform, Arena data, and customer-specific benchmarks. Collaborate with the research team to turn novel ideas into full-featured products. (This role does not involve data labeling or third-party data-verification work.)
Flex across the stack. Contribute to the backend of our Leaderboards and Evals platforms when needed, helping unify our public and private data architectures.
~5+ years of backend engineering experience, with meaningful time spent on distributed systems, infrastructure, or developer-facing platforms.
Senior: proven delivery on meaningful backend work.
Staff: extensive, deep experience owning backend systems end to end.
Strong proficiency in Go — this is our primary backend language and a must-have for the role.
Experience with LLM provider APIs (OpenAI, Anthropic, Google, etc.) and a working understanding of the challenges: streaming, token management, rate limits, model-specific quirks.
A product-oriented mindset. You think about the developer experience of your APIs, not just the implementation. You ask \"why\" before \"how.\"
Comfort with ambiguity. We're a startup. Scope is fluid, context shifts, and you'll wear many hats. That should sound exciting, not stressful.
Cloud infrastructure experience (AWS, GCP, or Azure), Kubernetes, Terraform, and database systems like Postgres and Redis — helpful, but not a hard filter.
Experience building API gateways, proxies, or developer tools (Bifrost, Kong, Envoy, Tyk, or custom).
Background in AI/ML infrastructure, model serving, inference, or evaluation frameworks.
Experience building enterprise-ready features: SSO, RBAC, audit logs, multi-tenancy.
Experience building billing infrastructure around systems like Stripe, Metronome, and Orb.
Familiarity with the modern AI infra stack (vLLM, LiteLLM, LangChain, etc.).
This role is based in San Francisco, with a minimum of 3 days/week onsite. Fully remote candidates will only be considered with a very strong endorsement.
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\nABOUT THE ROLE\n\nArena Intelligence is looking for a Software Engineer - Platform to build the core infrastructure that sits beneath our online evaluation systems — the AI gateways, automated arena runtimes, and serving layers that make real-world model evaluation possible at scale.\n\nThis is a critical part of the Arena Service. Arenas are live, online systems: they route traffic across frontier models from many providers, handle bursty and unpredictable load, need to fail gracefully when upstream models do, and have to remain fair and consistent under all of it. We exist to build foundational infrastructure for our users that scales, is reliable, and makes the complexities of operating this infrastructure at scale disappear. We need a practitioner who's shipped this kind of infrastructure before and knows where the sharp edges are.\n\nOur AI gateway is currently in private, gated launch with individual developers as our primary users today; enterprise use cases will follow later. Next month we're shipping direct model access and new infrastructure features, and Arena may begin collecting usage traces and building leaderboards shared with lab partners — so there's a lot of near-term, zero-to-one work ahead.\n\nYou'll be an early member of our infrastructure team, working closely with researchers, engineers, and product leadership. The work is zero-to-one in places and scale-it-up in others. We move fast and stay rigorous.\n\nThis is a hands-on individual contributor role — we're not hiring for a tech lead or SRE function right now; everyone on the team is heads-down building.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build API-based products from the ground up. Design and implement low-latency, high-reliability APIs for leaderboards, models, and arenas.\n\n - Solve hard streaming problems. Handle SSE/streaming responses across heterogeneous providers, including partial failure recovery, mid-stream fallback, and consistent response normalization.\n\n - Ship enterprise-grade infrastructure. Build the systems enterprise customers will eventually expect — rate limiting, authentication, usage metering, cost attribution, audit logging, and SOC 2 compliance — as we grow beyond our current individual-developer user base.\n\n - Build deep observability. Instrument infrastructure with distributed tracing, latency breakdowns, token-level usage tracking, and real-time dashboards so customers (and we) can see exactly what's happening.\n\n - Build AI-centered products. Integrate with our core evaluation platform, Arena data, and customer-specific benchmarks. Collaborate with the research team to turn novel ideas into full-featured products. (This role does not involve data labeling or third-party data-verification work.)\n\n - Flex across the stack. Contribute to the backend of our Leaderboards and Evals platforms when needed, helping unify our public and private data architectures.\n\n\nYOU’LL HAVE\n\n - ~5+ years of backend engineering experience, with meaningful time spent on distributed systems, infrastructure, or developer-facing platforms.\n \n - Senior: proven delivery on meaningful backend work.\n \n - Staff: extensive, deep experience owning backend systems end to end.\n\n - Strong proficiency in Go — this is our primary backend language and a must-have for the role.\n\n - Experience with LLM provider APIs (OpenAI, Anthropic, Google, etc.) and a working understanding of the challenges: streaming, token management, rate limits, model-specific quirks.\n\n - A product-oriented mindset. You think about the developer experience of your APIs, not just the implementation. You ask \"why\" before \"how.\"\n\n - Comfort with ambiguity. We're a startup. Scope is fluid, context shifts, and you'll wear many hats. That should sound exciting, not stressful.\n\n\nNICE TO HAVE\n\n - Cloud infrastructure experience (AWS, GCP, or Azure), Kubernetes, Terraform, and database systems like Postgres and Redis — helpful, but not a hard filter.\n\n - Experience building API gateways, proxies, or developer tools (Bifrost, Kong, Envoy, Tyk, or custom).\n\n - Background in AI/ML infrastructure, model serving, inference, or evaluation frameworks.\n\n - Experience building enterprise-ready features: SSO, RBAC, audit logs, multi-tenancy.\n\n - Experience building billing infrastructure around systems like Stripe, Metronome, and Orb.\n\n - Familiarity with the modern AI infra stack (vLLM, LiteLLM, LangChain, etc.).\n\n\nLOCATION\n\nThis role is based in San Francisco, with a minimum of 3 days/week onsite. Fully remote candidates will only be considered with a very strong endorsement.\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"c8cff644-28be-4909-950d-ace262f4218a","title":"Recruiting Coordinator (Founding Talent Operations)","department":"People","team":"People","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-24T18:04:44.400+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/c8cff644-28be-4909-950d-ace262f4218a","applyUrl":"https://jobs.ashbyhq.com/arena/c8cff644-28be-4909-950d-ace262f4218a/application","descriptionHtml":"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.
We are hiring our first Recruiting Coordinator to serve as the operational engine of Arena’s Talent team.
This is not a traditional, passive scheduling job. At Arena, talent acquisition is a core competitive advantage. You will be the orchestrator of our candidate pipeline, the architect of a white-glove candidate experience, and a foundational builder of our recruiting operations.
You will work shoulder-to-shoulder with our Founders, Head of Talent, and executive leadership to attract and convert elite AI researchers, software engineers, and business leaders. If you are an exceptionally high-agency operator who thrives in fast-paced environments, loves solving complex operational puzzles, and is excited to build scalable talent systems from the ground up, we want to talk to you. This role is based in San Francisco and is in-office. Interviews and on-sites happen here, and you will be the person making them run.
Orchestrate High-Stakes Logistics: Own end-to-end interview coordination across complex, multi-stage pipelines (technical challenges, deep-dive research panels, founder/executive interviews, and debriefs) with absolute precision.
Deliver an Elite Candidate Experience: Serve as the primary, high-touch liaison for candidates. You’ll ensure world-class researchers and engineers experience a seamless, transparent, and memorable interview process.
Interface with Executive Leadership: Partner directly with Arena’s founders and executive team to optimize their hiring bandwidth, protect their calendars, and hold hiring teams accountable to rapid feedback loops.
Build Founding Talent Operations: Help design, automate, and scale our talent tech stack (e.g., ATS workflows in Ashby/Greenhouse, scheduling automation, candidate communications, and pipeline analytics).
High-Agency Problem Solving: Intervene in real-time when schedules break or urgent priorities collide. You’ll operate with sound judgment, finding immediate solutions without waiting for step-by-step instructions.
Maintain Operational Rigor: Champion data integrity across all recruiting systems, tracking key pipeline metrics (conversion rates, time-to-schedule, candidate velocity) to uncover bottlenecks.
Unapologetically High-Agency: You don't wait for playbooks; you write them. You take extreme ownership of outcomes and proactively solve problems before they escalate.
Executive Presence & Crisp Communication: You write and communicate clearly, concisely, and with high polish. You are comfortable challenging and aligning senior leaders to keep hiring velocity high.
Systems & Operations Minded: You see scheduling not just as a set of calendar invites, but as a workflow optimization problem. You look for ways to eliminate friction and automate manual steps.
Obsessed with Detail & Precision: You have an allergic reaction to typos, mismatched time zones, broken links, and dropped handoffs.
1–3+ years of experience in recruiting coordination, executive administration, or talent operations within a fast-paced technology company, high-growth startup, or top-tier search firm.
Tech-Savvy: Highly proficient in modern tool stacks (e.g., Ashby / Greenhouse, Google Workspace, Slack, Notion, Prelude).
Bonus Points If You:
Have prior experience at an early-stage / Series A–B venture-backed startup.
Have a keen interest in Artificial Intelligence, Machine Learning, and enterprise autonomy.
Have experience building or iterating on interview rubrics, onboarding workflows, or talent analytics dashboards.
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\nABOUT THE ROLE\n\nWe are hiring our first Recruiting Coordinator to serve as the operational engine of Arena’s Talent team.\n\nThis is not a traditional, passive scheduling job. At Arena, talent acquisition is a core competitive advantage. You will be the orchestrator of our candidate pipeline, the architect of a white-glove candidate experience, and a foundational builder of our recruiting operations.\n\nYou will work shoulder-to-shoulder with our Founders, Head of Talent, and executive leadership to attract and convert elite AI researchers, software engineers, and business leaders. If you are an exceptionally high-agency operator who thrives in fast-paced environments, loves solving complex operational puzzles, and is excited to build scalable talent systems from the ground up, we want to talk to you. This role is based in San Francisco and is in-office. Interviews and on-sites happen here, and you will be the person making them run.\n\n\n\n\nYOU’LL\n\n - Orchestrate High-Stakes Logistics: Own end-to-end interview coordination across complex, multi-stage pipelines (technical challenges, deep-dive research panels, founder/executive interviews, and debriefs) with absolute precision.\n\n - Deliver an Elite Candidate Experience: Serve as the primary, high-touch liaison for candidates. You’ll ensure world-class researchers and engineers experience a seamless, transparent, and memorable interview process.\n\n - Interface with Executive Leadership: Partner directly with Arena’s founders and executive team to optimize their hiring bandwidth, protect their calendars, and hold hiring teams accountable to rapid feedback loops.\n\n - Build Founding Talent Operations: Help design, automate, and scale our talent tech stack (e.g., ATS workflows in Ashby/Greenhouse, scheduling automation, candidate communications, and pipeline analytics).\n\n - High-Agency Problem Solving: Intervene in real-time when schedules break or urgent priorities collide. You’ll operate with sound judgment, finding immediate solutions without waiting for step-by-step instructions.\n\n - Maintain Operational Rigor: Champion data integrity across all recruiting systems, tracking key pipeline metrics (conversion rates, time-to-schedule, candidate velocity) to uncover bottlenecks.\n\n\n\n\nYOU’LL HAVE\n\n - Unapologetically High-Agency: You don't wait for playbooks; you write them. You take extreme ownership of outcomes and proactively solve problems before they escalate.\n\n - Executive Presence & Crisp Communication: You write and communicate clearly, concisely, and with high polish. You are comfortable challenging and aligning senior leaders to keep hiring velocity high.\n\n - Systems & Operations Minded: You see scheduling not just as a set of calendar invites, but as a workflow optimization problem. You look for ways to eliminate friction and automate manual steps.\n\n - Obsessed with Detail & Precision: You have an allergic reaction to typos, mismatched time zones, broken links, and dropped handoffs.\n\n - 1–3+ years of experience in recruiting coordination, executive administration, or talent operations within a fast-paced technology company, high-growth startup, or top-tier search firm.\n\n - Tech-Savvy: Highly proficient in modern tool stacks (e.g., Ashby / Greenhouse, Google Workspace, Slack, Notion, Prelude).\n\n\n\nBonus Points If You:\n\n - Have prior experience at an early-stage / Series A–B venture-backed startup.\n\n - Have a keen interest in Artificial Intelligence, Machine Learning, and enterprise autonomy.\n\n - Have experience building or iterating on interview rubrics, onboarding workflows, or talent analytics dashboards.\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"0968aee5-93ed-4d11-b898-399a6bc648ce","title":"Member of Product Staff","department":"Product","team":"Product","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-25T14:31:33.261+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/0968aee5-93ed-4d11-b898-399a6bc648ce","applyUrl":"https://jobs.ashbyhq.com/arena/0968aee5-93ed-4d11-b898-399a6bc648ce/application","descriptionHtml":"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.
We're looking for a Member of Product Staff to be the GM and owner of a product pillar, identifying what to build, building conviction, shipping with engineering and research, and driving it to measurable outcomes. This is a highly cross functional role, and you are close to users, close to the data, and close to the code. You write the PRDs, you query the tables yourself, and you stay with the product after launch until it works.
Arena is small, and the product surface is unusually broad: a consumer product used by tens of millions of people each month, an API and enterprise offering that leading AI labs and enterprises rely on, and the evaluation methodology and leaderboard that sit underneath all of it. Depending on your background, you'll focus on one of the following areas:
Enterprise & API. The API and enterprise product surface that labs, enterprises, and independent researchers build on. You'll partner directly with customers to integrate models, run evals, and deliver high-quality results; translate their feedback into product and engineering initiatives; and own packaging and monetization so that every new product ships instrumented, billable, and correctly represented in our systems.
Evaluation. The products that turn human preference into trustworthy evaluation. This is the leaderboard, the methodology, and the tools model developers use. You'll partner with research to develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks, disentangle performance factors like style, reasoning, and robustness, and protect the scientific integrity and transparency of the Arena leaderboard.
Growth. How tens of millions of people discover, use, and come back to Arena. You’ll run experiments, and partner with design and marketing engineering to turn what we learn about our highest-expectation users into a product they can't stop using.
Own product areas end to end, from identifying opportunities that aren't on anyone's roadmap, to building conviction, shipping, and driving to measurable outcomes
Ship and iterate, You measure, course-correct, and drive to sustained impact against the companies north star goals.
Work with ML researchers to turn research into product, creating new methods, models, and data consumable for the people who need them
Develop a deep understanding of our highest-expectation users, consumers, labs, enterprises, researchers and how they actually use Arena
Monitor user feedback, usage data, and analytics to identify trends, prioritize initiatives, and refine what we've shipped
Write the PRDs, specs, and narratives that align engineering, design, research, and leadership, and create clarity out of ambiguity when needed
Make high-stakes product decisions under uncertainty, and be accountable for the outcomes
Raise the product quality bar on the team and introduce practices others adopt, unblock teammates, and hold the line on craft
5-10+ years of product management experience on consumer, developer, or enterprise products, ideally including 0-to-1 work at an early-stage company
A track record of repeated, attributable impact, multiple projects across different roles or companies where you can quantify outcomes (revenue, engagement, efficiency) and the impact sustained after you moved on
Product judgment, taste and autonomous ownership. You've identified opportunities, validated them with evidence, built buy-in, shipped, and the bet paid off.
You’ve killed important projects in your career for the betterment of the product.
Clear, persuasive communication. You build buy-in across engineering, research, design, and leadership. You create clarity for others, not just yourself
Technical depth to work directly with engineers and researchers
Genuine conviction about AI evaluation and Arena's mission — you can articulate why this domain matters and where the product should go
Comfort with ambiguity. We're a startup. Scope is fluid, context shifts, and you'll wear many hats
Production experience with AI/LLM systems — inference pipelines, evaluation workflows, model integration, or AI-powered product features
Experience with developer- or enterprise-facing products, and fluency in consumption or usage-based revenue models
Comfort working with real-world usage data and designing metrics beyond standard benchmarks, including experiments run with statistical rigor
Experience growing a consumer or developer product at scale, with hands-on ownership of experimentation and analytics
You've raised the bar on a team with measurable before/after — introduced practices, tools, or standards that others adopted
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Member of Product Staff to be the GM and owner of a product pillar, identifying what to build, building conviction, shipping with engineering and research, and driving it to measurable outcomes. This is a highly cross functional role, and you are close to users, close to the data, and close to the code. You write the PRDs, you query the tables yourself, and you stay with the product after launch until it works.\n\n\n\nArena is small, and the product surface is unusually broad: a consumer product used by tens of millions of people each month, an API and enterprise offering that leading AI labs and enterprises rely on, and the evaluation methodology and leaderboard that sit underneath all of it. Depending on your background, you'll focus on one of the following areas:\n\n\n\n - Enterprise & API. The API and enterprise product surface that labs, enterprises, and independent researchers build on. You'll partner directly with customers to integrate models, run evals, and deliver high-quality results; translate their feedback into product and engineering initiatives; and own packaging and monetization so that every new product ships instrumented, billable, and correctly represented in our systems.\n\n\n\n - Evaluation. The products that turn human preference into trustworthy evaluation. This is the leaderboard, the methodology, and the tools model developers use. You'll partner with research to develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks, disentangle performance factors like style, reasoning, and robustness, and protect the scientific integrity and transparency of the Arena leaderboard.\n\n\n\n - Growth. How tens of millions of people discover, use, and come back to Arena. You’ll run experiments, and partner with design and marketing engineering to turn what we learn about our highest-expectation users into a product they can't stop using.\n \n \n\n\nYOU'LL\n\n - Own product areas end to end, from identifying opportunities that aren't on anyone's roadmap, to building conviction, shipping, and driving to measurable outcomes\n\n - Ship and iterate, You measure, course-correct, and drive to sustained impact against the companies north star goals.\n\n - Work with ML researchers to turn research into product, creating new methods, models, and data consumable for the people who need them\n\n - Develop a deep understanding of our highest-expectation users, consumers, labs, enterprises, researchers and how they actually use Arena\n\n - Monitor user feedback, usage data, and analytics to identify trends, prioritize initiatives, and refine what we've shipped\n\n - Write the PRDs, specs, and narratives that align engineering, design, research, and leadership, and create clarity out of ambiguity when needed\n\n - Make high-stakes product decisions under uncertainty, and be accountable for the outcomes\n\n - Raise the product quality bar on the team and introduce practices others adopt, unblock teammates, and hold the line on craft\n \n \n\n\nYOU'LL HAVE\n\n - 5-10+ years of product management experience on consumer, developer, or enterprise products, ideally including 0-to-1 work at an early-stage company\n\n - A track record of repeated, attributable impact, multiple projects across different roles or companies where you can quantify outcomes (revenue, engagement, efficiency) and the impact sustained after you moved on\n\n - Product judgment, taste and autonomous ownership. You've identified opportunities, validated them with evidence, built buy-in, shipped, and the bet paid off.\n\n - You’ve killed important projects in your career for the betterment of the product.\n\n - Clear, persuasive communication. You build buy-in across engineering, research, design, and leadership. You create clarity for others, not just yourself\n\n - Technical depth to work directly with engineers and researchers\n\n - Genuine conviction about AI evaluation and Arena's mission — you can articulate why this domain matters and where the product should go\n\n - Comfort with ambiguity. We're a startup. Scope is fluid, context shifts, and you'll wear many hats\n \n \n\n\nBONUS POINTS\n\n - Production experience with AI/LLM systems — inference pipelines, evaluation workflows, model integration, or AI-powered product features\n\n - Experience with developer- or enterprise-facing products, and fluency in consumption or usage-based revenue models\n\n - Comfort working with real-world usage data and designing metrics beyond standard benchmarks, including experiments run with statistical rigor\n\n - Experience growing a consumer or developer product at scale, with hands-on ownership of experimentation and analytics\n\n - You've raised the bar on a team with measurable before/after — introduced practices, tools, or standards that others adopted\n \n \n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"b62b5178-081e-4ac8-a642-c9784c74f0f6","title":"Member of Marketing Staff - Growth","department":"Marketing & Communications","team":"Marketing & Communications","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[{"location":"Remote, New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States"}}}],"publishedAt":"2026-09-28T21:37:16.982+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/b62b5178-081e-4ac8-a642-c9784c74f0f6","applyUrl":"https://jobs.ashbyhq.com/arena/b62b5178-081e-4ac8-a642-c9784c74f0f6/application","descriptionHtml":"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.
Arena is looking for a senior growth marketer to help define and drive how we grow our products and lines of business. This is a high-ownership role for someone who combines strong growth and product strategy, analytical rigor, and hands-on execution, with a proven track record of building and scaling growth programs that drive meaningful business outcomes.
You’ll identify Arena’s highest-leverage growth opportunities, quantify their potential, develop strategies to capture them, and own programs from hypothesis through execution, measurement, and iteration. You’ll work across the full growth funnel — from acquisition and activation through engagement, retention, conversion, and monetization — using channels and levers including SEO/AEO, paid acquisition, email, web, programmatic growth, PLG, launches, and emerging AI-native distribution.
This role goes beyond managing individual channels or campaigns. You’ll own growth problems and KPIs, use data to determine which levers are most likely to move them, build the strategy and experimentation roadmap, and partner closely with Product, Design, Engineering, Data, and Marketing to turn opportunities into shipped experiences and scalable growth systems.
We’re looking for someone who has already built and scaled meaningful growth programs, is comfortable being accountable for business outcomes, and can move fluidly between setting strategy, analyzing data, influencing product decisions, and doing the hands-on work required to bring ideas to life.
Identify, build, and scale growth programs that drive acquisition, activation, engagement, conversion, and revenue across Arena’s products and lines of business
Apply data-driven thinking and experimental design to understand growth drivers, quantify impact, and inform where we invest and scale
Own growth initiatives end-to-end: identify the opportunity, define the KPI and strategy, develop hypotheses, execute campaigns and experiments, analyze results, and determine what to scale or change
Build and manage growth strategies across channels including SEO/AEO, email, paid acquisition, web, programmatic growth, launches, PLG, and emerging AI-native distribution
Own campaign and growth KPIs and establish clear measurement frameworks for understanding incremental impact and business outcomes
Partner closely with Product, Design, Engineering, Data, and Marketing to turn growth opportunities into shipped experiences, campaigns, and scalable systems
Develop strategies for reaching Arena’s distinct audiences, including consumers, developers, researchers, AI labs, and enterprise customers
Translate product and company priorities into integrated growth strategies across channels rather than treating each channel independently
Build repeatable growth systems and processes that allow successful experiments and campaigns to scale
Communicate growth strategy, performance, insights, and recommendations clearly to cross-functional partners and senior leadership
Bring strong strategic judgment while remaining close enough to execution to write, analyze, build, QA, launch, and iterate when needed
8+ years of experience in growth marketing, product growth, performance marketing, or a similarly analytical and execution-oriented growth role
Proven track record of owning growth goals and driving measurable improvements in acquisition, activation, engagement, conversion, retention, or revenue
Demonstrated experience taking growth initiatives from opportunity identification and strategy through execution, experimentation, measurement, and scaling
Strong understanding of LTV, retention, monetization, and unit economics and how they inform growth strategy and investment
Experience owning KPIs and being accountable for campaign, channel, funnel, or business outcomes
Experience building and scaling multiple growth channels, with deep expertise in at least one area such as SEO/AEO, paid acquisition, email, web, PLG, or programmatic growth
Strong experimentation mindset with experience designing tests, defining success metrics, interpreting results, and translating learnings into subsequent decisions
Strong analytical judgment and comfort using data to diagnose growth problems, prioritize opportunities, and make decisions
Ability to move fluidly between strategy and hands-on execution; you’re comfortable defining the growth strategy and getting into the details required to ship it
Comfortable operating in ambiguity, identifying opportunities independently, making decisions with imperfect information, and taking accountability for results
Experience growing developer, research, technical, enterprise, or AI-native products
Growth experience at a high-growth startup or building a growth function or major channel from an early stage
Familiarity with the AI/ML landscape and strong curiosity about models, agents, benchmarks, and evaluations
Experience building product-led and/or self-serve growth motions
Experience developing new or unconventional acquisition channels rather than only optimizing established ones
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\nABOUT THE ROLE\n\nArena is looking for a senior growth marketer to help define and drive how we grow our products and lines of business. This is a high-ownership role for someone who combines strong growth and product strategy, analytical rigor, and hands-on execution, with a proven track record of building and scaling growth programs that drive meaningful business outcomes.\n\nYou’ll identify Arena’s highest-leverage growth opportunities, quantify their potential, develop strategies to capture them, and own programs from hypothesis through execution, measurement, and iteration. You’ll work across the full growth funnel — from acquisition and activation through engagement, retention, conversion, and monetization — using channels and levers including SEO/AEO, paid acquisition, email, web, programmatic growth, PLG, launches, and emerging AI-native distribution.\n\nThis role goes beyond managing individual channels or campaigns. You’ll own growth problems and KPIs, use data to determine which levers are most likely to move them, build the strategy and experimentation roadmap, and partner closely with Product, Design, Engineering, Data, and Marketing to turn opportunities into shipped experiences and scalable growth systems.\n\nWe’re looking for someone who has already built and scaled meaningful growth programs, is comfortable being accountable for business outcomes, and can move fluidly between setting strategy, analyzing data, influencing product decisions, and doing the hands-on work required to bring ideas to life.\n\n\n\n\nCORE RESPONSIBILITIES\n\n - Identify, build, and scale growth programs that drive acquisition, activation, engagement, conversion, and revenue across Arena’s products and lines of business\n\n - Apply data-driven thinking and experimental design to understand growth drivers, quantify impact, and inform where we invest and scale\n\n - Own growth initiatives end-to-end: identify the opportunity, define the KPI and strategy, develop hypotheses, execute campaigns and experiments, analyze results, and determine what to scale or change\n\n - Build and manage growth strategies across channels including SEO/AEO, email, paid acquisition, web, programmatic growth, launches, PLG, and emerging AI-native distribution\n\n - Own campaign and growth KPIs and establish clear measurement frameworks for understanding incremental impact and business outcomes\n\n - Partner closely with Product, Design, Engineering, Data, and Marketing to turn growth opportunities into shipped experiences, campaigns, and scalable systems\n\n - Develop strategies for reaching Arena’s distinct audiences, including consumers, developers, researchers, AI labs, and enterprise customers\n\n - Translate product and company priorities into integrated growth strategies across channels rather than treating each channel independently\n\n - Build repeatable growth systems and processes that allow successful experiments and campaigns to scale\n\n - Communicate growth strategy, performance, insights, and recommendations clearly to cross-functional partners and senior leadership\n\n - Bring strong strategic judgment while remaining close enough to execution to write, analyze, build, QA, launch, and iterate when needed\n\n\nREQUIREMENTS\n\n - 8+ years of experience in growth marketing, product growth, performance marketing, or a similarly analytical and execution-oriented growth role\n\n - Proven track record of owning growth goals and driving measurable improvements in acquisition, activation, engagement, conversion, retention, or revenue\n\n - Demonstrated experience taking growth initiatives from opportunity identification and strategy through execution, experimentation, measurement, and scaling\n\n - Strong understanding of LTV, retention, monetization, and unit economics and how they inform growth strategy and investment\n\n - Experience owning KPIs and being accountable for campaign, channel, funnel, or business outcomes\n\n - Experience building and scaling multiple growth channels, with deep expertise in at least one area such as SEO/AEO, paid acquisition, email, web, PLG, or programmatic growth\n\n - Strong experimentation mindset with experience designing tests, defining success metrics, interpreting results, and translating learnings into subsequent decisions\n\n - Strong analytical judgment and comfort using data to diagnose growth problems, prioritize opportunities, and make decisions\n\n - Ability to move fluidly between strategy and hands-on execution; you’re comfortable defining the growth strategy and getting into the details required to ship it\n\n - Comfortable operating in ambiguity, identifying opportunities independently, making decisions with imperfect information, and taking accountability for results\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience growing developer, research, technical, enterprise, or AI-native products\n\n - Growth experience at a high-growth startup or building a growth function or major channel from an early stage\n\n - Familiarity with the AI/ML landscape and strong curiosity about models, agents, benchmarks, and evaluations\n\n - Experience building product-led and/or self-serve growth motions\n\n - Experience developing new or unconventional acquisition channels rather than only optimizing established ones\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"06ed8fe1-9254-4129-9349-07f21ee5ea30","title":"Member of Growth Staff","department":"Marketing & Communications","team":"Marketing & Communications","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[{"location":"Remote, New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States"}}}],"publishedAt":"2026-10-06T19:52:37.259+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/06ed8fe1-9254-4129-9349-07f21ee5ea30","applyUrl":"https://jobs.ashbyhq.com/arena/06ed8fe1-9254-4129-9349-07f21ee5ea30/application","descriptionHtml":"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.
Arena is looking for a senior growth marketer to help define and drive how we grow our products and lines of business. This is a high-ownership role for someone who combines strong growth and product strategy, analytical rigor, and hands-on execution, with a proven track record of building and scaling growth programs that drive meaningful business outcomes.
You’ll identify Arena’s highest-leverage growth opportunities, quantify their potential, develop strategies to capture them, and own programs from hypothesis through execution, measurement, and iteration. You’ll work across the full growth funnel — from acquisition and activation through engagement, retention, conversion, and monetization — using channels and levers including SEO/AEO, paid acquisition, email, web, programmatic growth, PLG, launches, and emerging AI-native distribution.
This role goes beyond managing individual channels or campaigns. You’ll own growth problems and KPIs, use data to determine which levers are most likely to move them, build the strategy and experimentation roadmap, and partner closely with Product, Design, Engineering, Data, and Marketing to turn opportunities into shipped experiences and scalable growth systems.
We’re looking for someone who has already built and scaled meaningful growth programs, is comfortable being accountable for business outcomes, and can move fluidly between setting strategy, analyzing data, influencing product decisions, and doing the hands-on work required to bring ideas to life.
Identify, build, and scale growth programs that drive acquisition, activation, engagement, conversion, and revenue across Arena’s products and lines of business
Apply data-driven thinking and experimental design to understand growth drivers, quantify impact, and inform where we invest and scale
Own growth initiatives end-to-end: identify the opportunity, define the KPI and strategy, develop hypotheses, execute campaigns and experiments, analyze results, and determine what to scale or change
Build and manage growth strategies across channels including SEO/AEO, email, paid acquisition, web, programmatic growth, launches, PLG, and emerging AI-native distribution
Own campaign and growth KPIs and establish clear measurement frameworks for understanding incremental impact and business outcomes
Partner closely with Product, Design, Engineering, Data, and Marketing to turn growth opportunities into shipped experiences, campaigns, and scalable systems
Develop strategies for reaching Arena’s distinct audiences, including consumers, developers, researchers, AI labs, and enterprise customers
Translate product and company priorities into integrated growth strategies across channels rather than treating each channel independently
Build repeatable growth systems and processes that allow successful experiments and campaigns to scale
Communicate growth strategy, performance, insights, and recommendations clearly to cross-functional partners and senior leadership
Bring strong strategic judgment while remaining close enough to execution to write, analyze, build, QA, launch, and iterate when needed
8+ years of experience in growth marketing, product growth, performance marketing, or a similarly analytical and execution-oriented growth role
Proven track record of owning growth goals and driving measurable improvements in acquisition, activation, engagement, conversion, retention, or revenue
Demonstrated experience taking growth initiatives from opportunity identification and strategy through execution, experimentation, measurement, and scaling
Strong understanding of LTV, retention, monetization, and unit economics and how they inform growth strategy and investment
Experience owning KPIs and being accountable for campaign, channel, funnel, or business outcomes
Experience building and scaling multiple growth channels, with deep expertise in at least one area such as SEO/AEO, paid acquisition, email, web, PLG, or programmatic growth
Strong experimentation mindset with experience designing tests, defining success metrics, interpreting results, and translating learnings into subsequent decisions
Strong analytical judgment and comfort using data to diagnose growth problems, prioritize opportunities, and make decisions
Ability to move fluidly between strategy and hands-on execution; you’re comfortable defining the growth strategy and getting into the details required to ship it
Comfortable operating in ambiguity, identifying opportunities independently, making decisions with imperfect information, and taking accountability for results
Experience growing developer, research, technical, enterprise, or AI-native products
Growth experience at a high-growth startup or building a growth function or major channel from an early stage
Familiarity with the AI/ML landscape and strong curiosity about models, agents, benchmarks, and evaluations
Experience building product-led and/or self-serve growth motions
Experience developing new or unconventional acquisition channels rather than only optimizing established ones
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\nABOUT THE ROLE\n\nArena is looking for a senior growth marketer to help define and drive how we grow our products and lines of business. This is a high-ownership role for someone who combines strong growth and product strategy, analytical rigor, and hands-on execution, with a proven track record of building and scaling growth programs that drive meaningful business outcomes.\n\nYou’ll identify Arena’s highest-leverage growth opportunities, quantify their potential, develop strategies to capture them, and own programs from hypothesis through execution, measurement, and iteration. You’ll work across the full growth funnel — from acquisition and activation through engagement, retention, conversion, and monetization — using channels and levers including SEO/AEO, paid acquisition, email, web, programmatic growth, PLG, launches, and emerging AI-native distribution.\n\nThis role goes beyond managing individual channels or campaigns. You’ll own growth problems and KPIs, use data to determine which levers are most likely to move them, build the strategy and experimentation roadmap, and partner closely with Product, Design, Engineering, Data, and Marketing to turn opportunities into shipped experiences and scalable growth systems.\n\nWe’re looking for someone who has already built and scaled meaningful growth programs, is comfortable being accountable for business outcomes, and can move fluidly between setting strategy, analyzing data, influencing product decisions, and doing the hands-on work required to bring ideas to life.\n\n \n\n\nCORE RESPONSIBILITIES\n\n - Identify, build, and scale growth programs that drive acquisition, activation, engagement, conversion, and revenue across Arena’s products and lines of business\n\n - Apply data-driven thinking and experimental design to understand growth drivers, quantify impact, and inform where we invest and scale\n\n - Own growth initiatives end-to-end: identify the opportunity, define the KPI and strategy, develop hypotheses, execute campaigns and experiments, analyze results, and determine what to scale or change\n\n - Build and manage growth strategies across channels including SEO/AEO, email, paid acquisition, web, programmatic growth, launches, PLG, and emerging AI-native distribution\n\n - Own campaign and growth KPIs and establish clear measurement frameworks for understanding incremental impact and business outcomes\n\n - Partner closely with Product, Design, Engineering, Data, and Marketing to turn growth opportunities into shipped experiences, campaigns, and scalable systems\n\n - Develop strategies for reaching Arena’s distinct audiences, including consumers, developers, researchers, AI labs, and enterprise customers\n\n - Translate product and company priorities into integrated growth strategies across channels rather than treating each channel independently\n\n - Build repeatable growth systems and processes that allow successful experiments and campaigns to scale\n\n - Communicate growth strategy, performance, insights, and recommendations clearly to cross-functional partners and senior leadership\n\n - Bring strong strategic judgment while remaining close enough to execution to write, analyze, build, QA, launch, and iterate when needed\n\n\nREQUIREMENTS\n\n - 8+ years of experience in growth marketing, product growth, performance marketing, or a similarly analytical and execution-oriented growth role\n\n - Proven track record of owning growth goals and driving measurable improvements in acquisition, activation, engagement, conversion, retention, or revenue\n\n - Demonstrated experience taking growth initiatives from opportunity identification and strategy through execution, experimentation, measurement, and scaling\n\n - Strong understanding of LTV, retention, monetization, and unit economics and how they inform growth strategy and investment\n\n - Experience owning KPIs and being accountable for campaign, channel, funnel, or business outcomes\n\n - Experience building and scaling multiple growth channels, with deep expertise in at least one area such as SEO/AEO, paid acquisition, email, web, PLG, or programmatic growth\n\n - Strong experimentation mindset with experience designing tests, defining success metrics, interpreting results, and translating learnings into subsequent decisions\n\n - Strong analytical judgment and comfort using data to diagnose growth problems, prioritize opportunities, and make decisions\n\n - Ability to move fluidly between strategy and hands-on execution; you’re comfortable defining the growth strategy and getting into the details required to ship it\n\n - Comfortable operating in ambiguity, identifying opportunities independently, making decisions with imperfect information, and taking accountability for results\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience growing developer, research, technical, enterprise, or AI-native products\n\n - Growth experience at a high-growth startup or building a growth function or major channel from an early stage\n\n - Familiarity with the AI/ML landscape and strong curiosity about models, agents, benchmarks, and evaluations\n\n - Experience building product-led and/or self-serve growth motions\n\n - Experience developing new or unconventional acquisition channels rather than only optimizing established ones\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"3bcc68c5-9bf7-4568-ab1e-05e166a0d02e","title":"Member of Security Staff, IT Engineer","department":"Security","team":"Security","employmentType":"FullTime","location":"SF Bay Area","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-09T22:53:12.628+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Bay Area"}},"jobUrl":"https://jobs.ashbyhq.com/arena/3bcc68c5-9bf7-4568-ab1e-05e166a0d02e","applyUrl":"https://jobs.ashbyhq.com/arena/3bcc68c5-9bf7-4568-ab1e-05e166a0d02e/application","descriptionHtml":"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.
We are looking for a senior IT and security engineer to own that function's technical
direction. You will set how identity, endpoints, and access actually work here, decide what gets automated rather than done by hand, and be the person the team defers to on the hard calls.
This is a hands-on seat. You will do the work, not direct it from a distance.
You are not starting from zero. Identity is centralized with automated provisioning, the fleet is managed and enrolled with endpoint protection deployed, and remote access runs through a zero-trust layer. The foundations work. We need someone to deepen them, extend the model to areas it doesn't reach yet, and document what currently lives in people's heads.
The scope goes past enterprise systems. Our engineers build on source control, cloud data and analytics platforms, hosting, and managed infrastructure, and access to those carries
consequences that a wiki or a calendar does not. You will own how entitlement works there too.
This role is onsite in our San Francisco office.
Design the identity and access model, not just administer it. Okta is the center of gravity: SSO and SCIM, group and role design, lifecycle automation for joiners, movers, and leavers, and access reviews that produce evidence an auditor accepts. You decide what determines group membership and what the source of truth is.
Own endpoint strategy across a heavily Apple fleet. Intune, Apple Business Manager, and CrowdStrike Falcon: enrollment, compliance baselines, patching, and the full lifecycle from procurement to retirement.
Set the posture across enterprise and production systems. Enterprise platforms plus the developer and production systems our engineers depend on: source control, cloud data and analytics, hosting, and managed infrastructure. One standard applied across all of it, third-party application access, and a real answer for what an application can reach once authorized.
Extend the access model to production. Entitlement to developer and data platforms is a harder problem than enterprise SaaS: the blast radius is larger, the roles are less uniform, and the review evidence is what auditors scrutinize most. You own how that works.
Decide what stops being manual. Much of the current request queue is automatable, and nobody has had time. Okta Workflows, Google APIs, Python, PowerShell, or Bash- whatever fits.
Deepen operational readiness. An on-call rotation exists. Runbooks, escalation paths, and documentation are thinner than they should be, and much of the environment is still undocumented. You write it so a colleague can do the work without you.
Own onboarding and offboarding end to end, including the evidence trail compliance depends on.
Partner with the security function on device trust, conditional access, and privileged
access. This seat sits inside security rather than next to it.
Deep, current, hands-on experience. You can describe what you built or configured in the last three months at keyboard level.
You have owned a function, not just a queue. You have made architectural calls about how identity and endpoint management should work somewhere, defended them, and lived with what they cost. You can name one you got wrong and changed.
Real identity depth. Okta or comparable. You can explain what determines group membership, what happens to a mover rather than only a joiner and leaver, and how your model holds up as a company grows quickly.
Automation instinct. You can name a category of work that no longer exists because you eliminated it, and say what you deliberately left manual.
Endpoint management at scale across mixed platforms. Intune, Jamf, or equivalent, plus an endpoint security agent fleet.
Security depth for this domain. Least privilege, conditional access, device trust,
privileged access, and what an auditor will ask for.
Judgment about production and developer access, where over-granting is quietly expensive and under-granting stops engineers working. You have held that line somewhere.
Hands-on with AI tooling in your own work. You use AI to build, script, and troubleshoot, and you know where it belongs in an enterprise environment and where it doesn't.
Comfort inheriting something partly built and partly undocumented, and improving it rather than rebuilding it.
Calm under competing demands. You will support engineers, researchers, and executives, and need to tell a real emergency from a loud one.
Compliance evidence work: SOC 2 or ISO 27001 access reviews, asset inventory, offboarding records
Experience supporting a company through a period of rapid headcount growth
Zero-trust or conditional-access architecture
Governing AI tool adoption across a workforce: access, data handling, and sanctioned versus shadow usage
Cloudflare One administration and policy configuration
Hardware-key MFA rollouts (YubiKey, FIDO2)
AV, networking, or office buildout experience
Linux and cloud platforms (GCP, AWS, Azure)
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
","descriptionPlain":"ABOUT ARENA INTELLIGENCE\n\nArena 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.\n\n\nTens 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.\n\n\nWe'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.\n\n\nABOUT THE ROLE\n\nWe are looking for a senior IT and security engineer to own that function's technical\ndirection. You will set how identity, endpoints, and access actually work here, decide what gets automated rather than done by hand, and be the person the team defers to on the hard calls.\n\nThis is a hands-on seat. You will do the work, not direct it from a distance.\n\nYou are not starting from zero. Identity is centralized with automated provisioning, the fleet is managed and enrolled with endpoint protection deployed, and remote access runs through a zero-trust layer. The foundations work. We need someone to deepen them, extend the model to areas it doesn't reach yet, and document what currently lives in people's heads.\n\nThe scope goes past enterprise systems. Our engineers build on source control, cloud data and analytics platforms, hosting, and managed infrastructure, and access to those carries\nconsequences that a wiki or a calendar does not. You will own how entitlement works there too.\n\n\n\nThis role is onsite in our San Francisco office.\n\n\n\n\nYOU'LL\n\n - Design the identity and access model, not just administer it. Okta is the center of gravity: SSO and SCIM, group and role design, lifecycle automation for joiners, movers, and leavers, and access reviews that produce evidence an auditor accepts. You decide what determines group membership and what the source of truth is.\n\n - Own endpoint strategy across a heavily Apple fleet. Intune, Apple Business Manager, and CrowdStrike Falcon: enrollment, compliance baselines, patching, and the full lifecycle from procurement to retirement.\n\n - Set the posture across enterprise and production systems. Enterprise platforms plus the developer and production systems our engineers depend on: source control, cloud data and analytics, hosting, and managed infrastructure. One standard applied across all of it, third-party application access, and a real answer for what an application can reach once authorized.\n\n - Extend the access model to production. Entitlement to developer and data platforms is a harder problem than enterprise SaaS: the blast radius is larger, the roles are less uniform, and the review evidence is what auditors scrutinize most. You own how that works.\n\n - Decide what stops being manual. Much of the current request queue is automatable, and nobody has had time. Okta Workflows, Google APIs, Python, PowerShell, or Bash- whatever fits.\n\n - Deepen operational readiness. An on-call rotation exists. Runbooks, escalation paths, and documentation are thinner than they should be, and much of the environment is still undocumented. You write it so a colleague can do the work without you.\n\n - Own onboarding and offboarding end to end, including the evidence trail compliance depends on.\n\n - Partner with the security function on device trust, conditional access, and privileged\n access. This seat sits inside security rather than next to it.\n\n\nYOU'LL HAVE\n\n - Deep, current, hands-on experience. You can describe what you built or configured in the last three months at keyboard level.\n\n - You have owned a function, not just a queue. You have made architectural calls about how identity and endpoint management should work somewhere, defended them, and lived with what they cost. You can name one you got wrong and changed.\n\n - Real identity depth. Okta or comparable. You can explain what determines group membership, what happens to a mover rather than only a joiner and leaver, and how your model holds up as a company grows quickly.\n\n - Automation instinct. You can name a category of work that no longer exists because you eliminated it, and say what you deliberately left manual.\n\n - Endpoint management at scale across mixed platforms. Intune, Jamf, or equivalent, plus an endpoint security agent fleet.\n\n - Security depth for this domain. Least privilege, conditional access, device trust,\n privileged access, and what an auditor will ask for.\n\n - Judgment about production and developer access, where over-granting is quietly expensive and under-granting stops engineers working. You have held that line somewhere.\n\n - Hands-on with AI tooling in your own work. You use AI to build, script, and troubleshoot, and you know where it belongs in an enterprise environment and where it doesn't.\n\n - Comfort inheriting something partly built and partly undocumented, and improving it rather than rebuilding it.\n\n - Calm under competing demands. You will support engineers, researchers, and executives, and need to tell a real emergency from a loud one.\n\n\nBONUS POINTS\n\n - Compliance evidence work: SOC 2 or ISO 27001 access reviews, asset inventory, offboarding records\n\n - Experience supporting a company through a period of rapid headcount growth\n\n - Zero-trust or conditional-access architecture\n\n - Governing AI tool adoption across a workforce: access, data handling, and sanctioned versus shadow usage\n\n - Cloudflare One administration and policy configuration\n\n - Hardware-key MFA rollouts (YubiKey, FIDO2)\n\n - AV, networking, or office buildout experience\n\n - Linux and cloud platforms (GCP, AWS, Azure)\n\n\nWHAT WE OFFER\n\n - We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.\n\n - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.\n\n - The opportunity to work on cutting-edge AI with a small, mission-driven team\n\n - A culture that values transparency, trust, and community impact\n\n\n\nCome help build the space where anyone can explore and help shape the future of AI.\n\n\n\nArena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}}],"apiVersion":"1"}