
Software Engineer, Full Stack
Arena Intelligence, Inc.2 months ago
San Francisco, CA, USAMid Level
Responsibilities
- Own features from technical scoping through deployment, measurement, and post-launch iteration.
- Design and extend schemas, APIs, and business logic for new product capabilities.
- Ship high-quality product code across the stack.
- Use data, direct user contact, and product judgment to improve shipped features.
- Work with ML researchers to bring research services into production for product development.
- Collaborate with design, product, and engineering to determine what to build.
- Advocate for improvements to development, testing, and deployment practices.
Requirements
- At least 3 years of software engineering experience, focused on enterprise or developer-facing product development.
- Experience building user-facing web applications across frontend, backend/API, and database layers.
- Ability to explain technical decisions clearly and proactively share context.
- Evidence of owning, shipping, and iterating on features through the full product lifecycle.
- A product engineering mindset focused on whether software works for users.
- Genuine interest in AI evaluation and Arena's mission.
- Bonus: familiarity with NextJS, React, TypeScript, Tailwind, ShadCN, HonoJS, Postgres, and Vitest.
- Bonus: experience with Supabase or Vercel's AI SDK.
- Bonus: experience determining what to build through user conversations or data without PM or design support.
Benefits
- Competitive compensation and equity aligned to the markets where team members are based, with base salary dependent on permanent work location.
- Comprehensive medical, dental, vision, and additional health and wellness support programs.
- Opportunity to work on cutting-edge AI with a small, mission-driven team.
- Culture emphasizing transparency, trust, and community impact.
Tech Stack
Categories
About Arena Intelligence, Inc.
Created by researchers from UC Berkeley, Arena (formerly LMArena) is a community-powered platform to measure and advance the frontier of AI for real-world use. Tens of millions of builders, researchers, and creative professionals come to Arena to use frontier models and give feedback on their responses, shaping a public leaderboard grounded in real-world use.