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 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.

Responsibilities

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

Experience

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 & 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.