About the role
About Arena Intelligence Arena Intelligence is the open platform for evaluating how AI models perform in the real world. Created by researchers from UC Berkeley’s SkyLab, our mission is to measure and advance the frontier of AI for real-world use. Millions of people use Arena Intelligence each month to explore how frontier systems perform — and we use our community’s feedback to build transparent, rigorous, and human-centered model evaluations. Leading enterprises and AI labs rely on our evaluations to understand real-world reliability, alignment, and impact. Our leaderboards are the gold standard for AI performance — trusted by leaders across the AI community and shaping the global conversation on model reliability and progress. We’re a team of researchers, engineers, academics, and builders from places like UC Berkeley, Google, Stanford, DeepMind, and Discord. 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. Everyone on our team is a deep expert in their field — our office radiates excellence, energy, and focus.
About
the Role This role has two core parts, both centered around working closely with the best AI labs in the world. First, you’ll partner directly with our lab customers to integrate their models, run and deliver evals, and act as their go-to person at Arena. 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. You’ll 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 You’ll have 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 What we offer We offer competitive