Arena Intelligence
Software Engineer, Full Stack
About this role
Arena Intelligence seeks a full stack engineer to own features end-to-end on its AI evaluation platform, from design through deployment and iteration. You'll build across modern web technologies while collaborating with ML researchers and product teams to ship high-quality features that directly impact millions of users.
What you'll do
- Own full feature lifecycle from technical scoping through deployment and post-launch refinement
- Design and extend APIs, database schemas, and business logic for new product capabilities
- Build high-quality code across frontend, backend, and database layers
- Incorporate user feedback and data insights to iterate on shipped features
- Collaborate with ML researchers to productionize research services
- Advocate for improvements to development, testing, and deployment practices
What they're looking for
- Full stack web development (frontend, backend, database)
- TypeScript and React
- API and database design
- NextJS and Node.js or similar backend frameworks
- SQL and relational databases
- Product engineering mindset and user-focused development
- Clear technical communication
- Familiarity with modern tooling (Tailwind, ShadCN, testing frameworks)
Benefits
- Competitive base salary and equity compensation
- Comprehensive health, dental, and vision coverage
- Opportunity to work on cutting-edge AI evaluation technology
- Mission-driven, small team culture with transparency and trust
- Collaborative environment spanning research, design, product, and engineering
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Arena Intelligence
Arena Intelligence builds a platform for evaluating AI model performance through real-world testing and human preference data, powering insights for AI labs and enterprises. The company is hiring data engineers, security engineers, machine learning scientists, and customer-facing technical roles to scale its evaluation infrastructure, protect against misuse, and deliver custom solutions to customers.
View all jobs at Arena IntelligenceLikely interview questions
- Walk us through a feature you owned end-to-end—what was the problem, how did you build it, and what did you learn after launch?
- Tell us about a time you shipped something without PM or design support. How did you decide what to build?