GTM Engineer
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
About HUD
About the role
HUDs product sells itself to the right person. Your challenge is finding and selling to them at scale.
The buyers of HUDs 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 theyre building why their current eval pipeline is broken and how HUD fixes it.
Thats why were looking for a GTM engineer who can both carry technical conversations and close - and do so at scale. Were looking for systems builders not just salespeople.
Responsibilities
Own HUDs 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
Startup experience in early-stage technology companies 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 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 dont meet all criteria.
Team & company details
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. Were 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 1-week 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 youre in the office
Company-wide holiday break (Christmas Eve to New Years 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 or elsewhere if we missed your application!
Required Experience:
IC
