Product Manager, Marketplace for RL Training Data and Environments

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 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

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• 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.
  
  

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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 removed]](mailto:[email removed]) or elsewhere if we missed your application!