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San Francisco, California, United States
Onsite
HUD's mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.
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.
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
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 Size: ~25 people currently, mostly full-time in-person, but some remote.
Our team: Our team brings together five International Olympiad medalists across IOI, ILO and IPhO, researchers published at NeurIPS and ICLR, and engineers and researchers from Google DeepMind, Amazon, AWS, Meta, Qwen, GLM, and Mercor. It also includes operators from BCG and Uber, the first security hire at one of the largest crypto exchanges, serial AI startup founders, former quant researchers, artists and the former #1 ranked Catan player in the world.
Company stage: We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.
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.
Competitive compensation
100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)
Lunch and dinner for in-office employees
Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays
401k with a 4% match
Other perks including an Equinox membership and commuter benefits (US employees) and a health/wellness stipend (Singapore 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.
Two top-floor offices in San Francisco’s Union Square and Singapore’s Raffles Place
Annual travel budget to visit either office
Actual offers are adjusted for experience and location, but our base salary bands are
San Francisco (and other major US cities): $130,000 - $225,000
Singapore: $100,000 - $170,000
Rest of world: $100,000 - $170,000
Due to high volume, we may not actively respond to every application, but feel free to contact us at recruiting@hud.so or elsewhere if we missed your application!
