GTM Engineer
GTM · San Francisco · Singapore · Hybrid · Full-time
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 $15M from top VCs and were YC W25.
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 high revenue growth. We’re scaling profitably and quickly to meet very strong demand.
Logistics
Employment: Full-time.
Location: On-site in the San Francisco Bay Area.
Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to the US.
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
Lunch and dinner when you’re in the office
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
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 recruiting@hud.so or elsewhere if we missed your application!