About the role
About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus.
About
the Role Arena Intelligence is looking for a backend engineer to build the products and platforms that sit on top of our evaluation systems - the APIs, services, and data systems that turn Arena’s evals into products that enterprises depend on. This is the application layer of the Arena Service. Where our infrastructure teams builds the gateways and runtimes beneath - you will work closely with them to build the backends that customers will touch directly. This will include the APIs that expose Arena and enterprise data and the systems that manage usage, billing and multi tenant access. This work spans product surfaces of varying maturity and the data pipelines behind them - zero to one in places and scale-it up in others. You'll be an early member of our enterprise team, working closely with infrastructure engineers, researchers, and product leadership. We move fast and stay rigorous.