Product Engineer

Posted Yesterday
18 Locations
In-Office or Remote
Entry level
Artificial Intelligence • Information Technology • Software
The Role
Build and improve HUD’s platform and marketplace for RL training data and evaluations. The Product Engineer will identify user friction, define priorities, design prototypes, and ship full-stack product experiences. Responsibilities include improving agent-run and evaluation workflows, building frontend and backend functionality for onboarding and environment submission, and using user feedback and product signals to iterate. The role requires close collaboration with product, design, engineering, research, and go-to-market teams.
Summary Generated by Built In
About HUD

HUD is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs, Fortune 500 companies, and startups. We’ve raised $16M from top VCs and were YC W25.

About the role

We’re looking for a Product Engineer to turn important, cross-cutting product problems into shipped experiences across HUD’s platform and marketplace. You’ll work with our product, design, engineering, research, and GTM teams to understand where environment creators and research teams get stuck, decide what to improve, and build the solution.

This role combines product judgment, interaction design, and full-stack engineering. You’ll move from user conversations and early prototypes to production software, making technically dense workflows clear and useful without losing the detail users need.

Responsibilities
  • Talk with users and internal teams to find friction in creating, testing, evaluating, and discovering RL environments; shape those findings into clear product priorities

  • Design, prototype, and ship product improvements across HUD’s platform and marketplace, owning work from problem definition through launch and iteration

  • Make agent runs, evaluation results, reward signals, and quality feedback easier to understand and act on through thoughtful interfaces and workflows

  • Build the frontend and backend pieces needed to improve vendor onboarding, environment submission, review, and discovery for research teams

  • Use user feedback and product signals to assess what works, refine the experience, and help product, design, and engineering make tradeoffs

Experience

You may be a good fit if you have:

  • A record of shipping software products end-to-end, from understanding the user problem through implementation and iteration

  • Strong product judgment: you can identify the problem behind a request, set a useful scope, and make sound tradeoffs with incomplete information

  • Interaction design skills and a high bar for clarity and usability in complex, technical workflows

  • Full-stack engineering ability, including building polished web interfaces and the backend services or APIs that support them

  • Comfort talking directly with users and using qualitative feedback and product data to improve what you ship

  • Clear communication and the ability to work closely with product managers, designers, engineers, researchers, and other partners

Strong candidates may also have:

  • Experience with developer tools, data-rich products, marketplaces, or products serving distinct groups of users

  • Familiarity with AI agents, evaluations, reinforcement learning, or training data

  • Experience designing workflows for review, debugging, quality feedback, or other complex operational work

  • Experience finding and owning product gaps in a growing, cross-functional team

We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.

Team & company details
  • Team Size: ~25 people currently, mostly full-time in-person, but some remote.

  • Our team: Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.

  • Company stage: We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.

Logistics
  • Employment: Full-time.

  • Location: We have offices in San Francisco or Singapore but are open to remote candidates who can work hours that 70-80% overlap with either San Francisco or Singapore time zones.

  • Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.

  • Timeline: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.

What we offer
  • Competitive compensation

  • 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)

  • Lunch and dinner when you’re in the office (in-office employees)

  • Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays

  • Other perks including an Equinox membership, 401k, and commuter benefits (US employees)

  • Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.

Due to high volume, we may not actively respond to every application, but feel free to contact us at [email protected] or elsewhere if we missed your application!

Skills Required

  • Record of shipping software products end-to-end, from understanding user problems through implementation and iteration
  • Strong product judgment and ability to identify problems, scope work, and make tradeoffs with incomplete information
  • Interaction design skills and a high standard for clarity and usability in complex technical workflows
  • Full-stack engineering ability, including polished web interfaces and backend services or APIs
  • Comfort communicating directly with users and using qualitative feedback and product data to improve products
  • Clear communication and ability to collaborate with product managers, designers, engineers, researchers, and other partners
  • Experience with developer tools, data-rich products, marketplaces, or products serving distinct user groups
  • Familiarity with AI agents, evaluations, reinforcement learning, or training data
  • Experience designing workflows for review, debugging, quality feedback, or complex operational work
  • Experience identifying and owning product gaps in a growing cross-functional team
Am I A Good Fit?
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The Company
HQ: Auckland
10 Employees
Year Founded: 2025

What We Do

The all-in-one platform for evaluations on computer use and browser use AI agents.

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