This listing pays about $162,500 a year. Across 39 open product engineer listings that state pay, the middle half runs $177,500 to $262,000 and the median is $210,000. That is 23% below the median, below the middle half of those listings.

Listed pay is what employers advertise, not what people are paid.

Product Engineer salaries by state · Check your own pay

How AI is used in this kind of work

AI use among mechanical engineers is little observed so far. Measured exposure for mechanical engineers: 8% (little observed).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

About the job

ABOUT HUD

HUD https://www.hud.ai/'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.

- 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

- 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

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!