Join Arena as a Full Stack Software Engineer to build and iterate on features for cutting-edge AI applications.
Posted by employer 3 days ago
First seen on Joblaze 3 days ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
Must have
Nice to have
Role intensity
70% hands-on coding
AI in the day-to-day
Engineers work closely with ML researchers to turn research services into production.
Requirements
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Benefits
Joblaze summary
The Full Stack Software Engineer at Arena is responsible for managing the entire lifecycle of features, from initial problem identification to deployment and post-launch analysis. This role requires proficiency in building user-facing web applications across various technologies, with a strong emphasis on understanding user feedback and iterating on solutions. Ideal candidates have at least three years of experience in software engineering, particularly in enterprise or developer-facing products, and possess a genuine interest in AI evaluation. Arena's collaborative environment encourages input from all team members, fostering a culture of craftsmanship and curiosity.
Joblaze insights
Quick facts
From the original posting
We're looking for a Full Stack 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
3+ years of experience in software engineering, with a focus on enterprise or developer facing 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
Familiarity 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
We offer competitive compensation and equity aligned to the markets where our team members are based. The base salary range will depend on the candidate’s permanent work location.
Standard company text repeated across Arena's postings is omitted here.