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Product Solutions Engineer

Arena Intelligence, Inc.

Company websitearena.ai (Arena Intelligence, Inc., opens in new tab)

Base salary $150K  to $250K

Employer-published annual base salary, USD. Advertised base range in California

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  • LocationCalifornia
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since

About this job

About Arena Intelligence

Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it.


Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do.


We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus.

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.

  • 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

Come help build the space where anyone can explore and help shape the future of AI.

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.

Source: Arena Intelligence, Inc. on Ashby · View original posting (opens in new tab)

This range next to 5 other live Arena Intelligence, Inc. roles with the nearest advertised base floor
Chart as a table
This range next to 5 other live Arena Intelligence, Inc. roles with the nearest advertised base floor
RolePublished base
Product Solutions Engineer (this listing)$150K - $250K
Applied AI Engineer$150K - $250K
Software Engineer - ML Infrastructure$150K - $350K
Software Engineer - Data Infrastructure$150K - $350K
Technical Recruiter$150K - $260K
Software Engineer - Product Security$150K - $350K

Same $100K to $400K scale as every card. All Arena Intelligence, Inc. roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-02-23
Where this pay comes from

Location as the employer wrote it: SF Bay Area

USD 150,000 – 250,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.