Product Solutions Engineer

About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role This role has two core parts, both centered around working closely with the best AI labs in the world. First [... source excerpt omitted ...] om 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, da [... source excerpt omitted ...] s, 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 AP