About HUD

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 role

We’re looking a Product Manager to own product work for our data marketplace. You’ll make it easier for data vendors to create high-quality RL environments and training data using HUD’s tools. You’ll work closely with engineering, research, and GTM to turn technical and operational needs into product decisions.

Responsibilities

• Own 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

Experience

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 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 (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

• Other perks including an Equinox membership, 401k, 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

Compensation

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!