Product Solutions Engineer

arena

United States

On-site

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation & equity
Health, dental, vision benefits
Cutting-edge AI projects

Job summary

Arena Intelligence is seeking a software engineer to partner with AI labs, integrating models, running evaluations, and delivering high-quality results for clients. You will also tackle customer engineering asks, shipping practical solutions and contributing to our ML stack.

Ideal candidates have 4+ years in software engineering, strong TypeScript skills, and hands-on experience with LLM APIs and streaming responses, across frontend and backend.

Qualifications

  • 4+ years of software engineering experience with strong fundamentals.
  • Experience with TypeScript and modern web frameworks.
  • Hands-on experience integrating LLM provider APIs and streaming responses.
  • Comfort moving across frontend and backend.

Responsibilities

  • Collaborate with lab customers to integrate models and run evals.
  • Deliver high-quality results and surface opportunities from data.
  • Ship pragmatic solutions across onboarding and releases.
  • Own process improvements or automation in onboarding or data insights.
  • Translate feedback into concrete product ideas for engineering.
  • Work across the stack to push customer value.

Skills

TypeScript
Frontend & Backend
Cloud Infrastructure
CI/CD
Communication

Tools

LLM APIs
Streaming APIs
Web Frameworks

Job description

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
What 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.
  • Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
  • The opportunity to work on cutting‑edge AI with a small, mission‑driven team
  • A culture that values transparency, trust, and community impact

Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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