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

HUD's product sells itself to the right person. Your challenge is finding and selling to them at scale.

The buyers of HUD’s data are ML engineers, AI researchers, and engineering leaders at frontier labs and enterprises. They respond not to traditional SaaS outreach, but to someone who understands what they're building, why their current eval pipeline is broken, and how HUD fixes it.

That’s why we’re looking for a GTM Engineer who can both carry technical conversations and close - and do so at scale. We’re looking for systems builders, not just salespeople.

Responsibilities

Own HUD's outbound pipeline end-to-end - targeting, enrichment, outreach, follow-up, and meeting booking
Build and maintain GTM workflows (e.g., outbound email sequencing, CRM automation, lead scoring, custom tooling, inbound lead qualification)
Use AI tools aggressively to 10x your output (e.g., vibe code scrapers, automate workflows, build internal tools)
Develop and iterate on messaging that resonates with technical buyers, including ML engineers, AI researchers, and engineering leaders
Quickly learn new prospect businesses / industries and understand their pain points, workflows, and why HUD matters to them
Track pipeline metrics and optimize conversion at every stage
Work closely with founders to develop and refine our GTM playbook as we scale

Experience

You may be a good fit if you have:

Demonstrated ability to build and run a GTM motion with real, measurable results
A strong track record of closing deals
A CS or engineering background, or you vibe-code extensively on the side
Deep familiarity with GTM tooling
Strong written communication that technical people actually respond to
Early-stage startup experience with ability to work independently in fast-paced environments

Strong candidates may also have:

Experience selling developer tools, infrastructure, or ML/AI products
History of building outbound systems using tools like Clay, Apollo, or custom automation
Familiarity with RL, e.g., you know what environments, evals, and benchmarks are
Evidence of creative, high-leverage approaches to pipeline generation

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): $105,000 - $180,000
Singapore: $100,000 - $135,000
Rest of world: $100,000 - $135,000

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!

GTM Engineer