---
title: 'Member of Product Staff at Arena Intelligence, Inc.'
canonical: 'https://feeny.ai/job/member-of-product-staff-arena-intelligence-inc-san-francisco-5pkrqmnysht7'
type: 'job'
last_seen: '2026-09-26'
---

# Member of Product Staff at Arena Intelligence, Inc.

- **Company:** Arena Intelligence, Inc.
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-25
- **Last confirmed live:** 2026-09-26
- **Apply:** https://jobs.ashbyhq.com/arena/0968aee5-93ed-4d11-b898-399a6bc648ce

## Job description

## About Arena Intelligence

Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it.

Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do.

We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus.

## ABOUT THE ROLE

We're looking for a 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.

## YOU'LL

- 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

## YOU'LL HAVE

- 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

## BONUS POINTS

- 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

## What we offer

- We offer competitive compensation and equity aligned to the markets where our team members are based. The base salary range will depend on the candidate’s permanent 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.

## About Arena Intelligence, Inc.

## Company Overview
- **One-liner**: Arena Intelligence, Inc. (formerly LMArena/Chatbot Arena) operates a public, community-driven platform for evaluating large language models through anonymous head-to-head comparisons and voting.
- **Entity Type**: Private (Series A, total $250M funding)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2025 (company incorporation; platform launched April 2023)
- **Founders**: Wei-Lin Chiang, Anastasios N. Angelopoulos, Ion Stoica

## Core Business
- **Primary industry**: AI evaluation and research infrastructure
- **Target customers**: AI labs (OpenAI, Google DeepMind, Anthropic, DeepSeek), enterprises, researchers, and the general AI community (B2B and B2C)
- **Mission**: Fuel the world’s most trusted AI evaluation platform, using real-world community votes to benchmark model performance

## Products & Services
- **LMArena Platform**: Public web-based platform where users enter prompts for two anonymous models, vote on the better response, and then see the models’ identities. Supports text, vision, web dev, search, video, and image modalities. Over 50 million votes collected.
- **Max (Model Router)**: An intelligent orchestrator that routes each user prompt to the most capable model for that specific prompt, powered by 5+ million real-world votes.
- **Enterprise Evaluation Product**: Launched September 2025, provides rigorous, reproducible evaluations for AI labs and enterprises, generating actionable feedback on model performance.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: $100M annualized revenue run rate as of June 2026 (achieved within 8 months of enterprise offering launch)
- **Total Funding**: $250M (Seed $100M led by Andreessen Horowitz and UC Investments in June 2025; Series A $150M led by Felicis and UC Investments in January 2026)
- **Notable Investors/Partners**: Felicis, UC Investments, Andreessen Horowitz, The House Fund, LDVP, Kleiner Perkins, Lightspeed Venture Partners, Laude Ventures
- **Growth Signals**: Community grew 25x in one year; 50 million votes, 400+ model evaluations, 145k open-source battle data points; operates in 5 countries (US, Germany, UK, UAE, Canada); headcount of 49 with +10.5% monthly growth

## Competitive Advantages
- **Community-driven data**: Trusted by major AI labs for real-world, reproducible evaluations; 10M+ community members contribute diverse prompts and votes
- **First-mover & brand**: The de facto public leaderboard for LLM comparison; used for pre-release model testing (e.g., DeepSeek R1, GPT-5 "summit", Gemini 2.5 Flash Image "Nano Banana")
- **Open science**: Academic partnerships program funding independent research on AI evaluation methodology
- **Revenue velocity**: Achieved $100M ARR in under a year from enterprise launch, indicating strong product-market fit

## Strategic Focus
- Scale the platform with new features and modalities (video, search, web dev)
- Deepen enterprise offerings and model routing capabilities (Max)
- Expand academic partnerships to advance the science of AI evaluation
- Continue to serve as the gold standard for real-world model performance benchmarking

## Why Work Here
- **Culture**: Fast-moving, research-driven startup with roots at UC Berkeley; emphasis on community, open source, and rigorous science
- **Team**: 49 employees, 41% technical (Data Engineers, ML Scientists, ML Engineers, Software Engineers), with talent from top AI labs and universities (Berkeley RISE Lab, Google, Apple)
- **Growth**: High-growth environment (revenue run rate doubled rapidly, headcount growing ~10% monthly)
- **Location**: Headquarters in San Francisco (2261 Market St., Ste 85064); offices also in SF (two additional locations). Likely hybrid/office-based given SF HQ and local employee concentration.
- **Perks**: Not explicitly listed, but typical for VC-backed startup (equity, competitive comp, impact on foundational AI infrastructure)

## Sources
1. [arena.ai](https://arena.ai/)
2. [arena.ai/blog/series-a](https://arena.ai/blog/series-a/)
3. [linkedin.com/company/arenaai](https://www.linkedin.com/company/arenaai)
4. [jobs.ashbyhq.com/arena](https://jobs.ashbyhq.com/arena)

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