Senior Software Engineer, Product
Quick Summary
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.
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
~1 min readWe're looking for a Senior 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
4+ years of experience in software engineering, with a focus on 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
Nice to Have
~1 min readFamiliarity 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
NextJS
React + TypeScript
Tailwind + ShadCN
HonoJS
Postgres
Vitest
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- April 20, 2026
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 21%
- Scored at
- May 6, 2026
Signal breakdown
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