GTM Engineer

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.

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.

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  Own HUD's outbound pipeline end-to-end - targeting, enrichment, outreach, follow-up, and meeting booking

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  Build and maintain GTM workflows (e.g., outbound email sequencing, CRM automation, lead scoring, custom tooling, inbound lead qualification)

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  Use AI tools aggressively to 10x your output (e.g., vibe code scrapers, automate workflows, build internal tools)

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  Develop and iterate on messaging that resonates with technical buyers, including ML engineers, AI researchers, and engineering leaders

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  Quickly learn new prospect businesses / industries and understand their pain points, workflows, and why HUD matters to them

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  Track pipeline metrics and optimize conversion at every stage

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  Work closely with founders to develop and refine our GTM playbook as we scale

• 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

• Startup experience in early-stage technology companies with ability to work independently in fast-paced environments

• Experience selling developer tools, infrastructure, or ML/AI products

• History of building outbound systems using tools like Clay, Apollo, or custom automation

• Familiarity with the AI/ML ecosystem, e.g., you know what evals are, what RL is, and why researchers care

• 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 Size: ~15 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.

• 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 1-week work trial.