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.
About the roleWe’re looking a Product Manager to own product work for our data marketplace. You’ll make it easier for data vendors to bring high-quality RL environments and training data to HUD, and for research teams to discover, evaluate, and use them. You’ll work closely with engineering, research, and GTM to turn technical and operational needs into product decisions.
ResponsibilitiesOwn the marketplace product lifecycle, from understanding vendor and buyer needs through prioritization, launch, and iteration
Improve how vendors onboard, submit work, understand quality feedback, and manage their offerings on HUD
Improve how research teams discover, assess, and access environments and training data that meet their needs
Work with engineering, research, GTM, and operations to turn complex requirements and manual processes into reliable platform workflows
Define and track measures of marketplace health, product adoption, and user experience; use feedback and product data to decide what to build next
You may be a good fit if you have:
Experience owning a live software product from discovery through launch and iteration
Strong product judgment and the ability to simplify technically complex workflows for users
Experience talking directly with users, identifying the problem behind a request, and turning what you learn into clear priorities
Ability to balance user needs, business impact, and engineering constraints when making product decisions
Comfort using qualitative feedback and quantitative signals to assess whether a product change worked
Clear written communication and the ability to bring engineers and other partners together around decisions in an ambiguous environment
Strong candidates may also have:
Experience with marketplaces or products serving two distinct groups of users
Familiarity with AI training data, evaluations, and RL environments
Experience building a product function or establishing product practices on a growing team
Early-stage startup experience and strong communication skills for collaboration across teams and time zones
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 detailsTeam 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 [email protected] or elsewhere if we missed your application!
