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 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.

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 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.

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