About the Role

This role has two core parts, both centered around working closely with the best AI labs in the world.

First, you’ll partner directly with our lab customers to integrate their models, run and deliver evals, and act as their go-to person at Arena Intelligence. You’ll plug into their research roadmap, understand where they’re headed, and help them get real value from our data. Along the way, you’ll spot gaps, surface new opportunities, and help shape what we build next.

Second, you’ll roll up your sleeves and build. You’ll take on specific customer engineering asks and ship solutions that push the frontier of what our platform can do. Some of what you build may eventually scale into our Data or Applied ML stack — but it starts with solving real, high-impact problems for cutting-edge AI teams.

You’ll

• Own 5–15 active model lab relationships as the day-to-day point of contact

• Partner directly with researchers and product teams to integrate models, run evals, and deliver high-quality results

• Drive consistent delivery across onboarding, data + product releases, co-launches, and unblock unexpected issues fast

• Be the “owner” of a key process improvement or automation (e.g., model onboarding flow, customer data insights, delivery tooling)

• Translate customer feedback and research direction into concrete product ideas and engineering work

• Work across the stack to ship pragmatic solutions that push the frontier for our customers

• Help expand strategic accounts through trust, execution, and sharp technical judgment

You’ll have

• 4+ years of software engineering experience with strong fundamentals (data structures, algorithms, system design)

• Production experience in TypeScript and modern web frameworks

• Hands-on experience integrating LLM provider APIs, including streaming responses

• Comfort moving across frontend and backend — you’re willing to dig in wherever the problem is

• Familiarity with cloud infrastructure and CI/CD workflows

• Strong problem-solving instincts and the ability to operate in ambiguity

• Clear, concise communication skills — you can explain complex technical ideas to both engineers and non-technical stakeholders

• A customer-first mindset and a genuine desire to work closely with multiple stakeholders

• A bachelor's degree and/or masters degree in computer science, engineering, mathematics, or a related field

What we offer

• We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.