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HUD is building infrastructure for RL training data and evals for frontier AI agents, with a marketplace connecting these services to frontier labs. The company has raised $15M from top VCs, was part of YC W25, and is used by frontier labs, Fortune 500 companies, and startups.
You will own HUD's outbound pipeline end-to-end, from targeting and enrichment through outreach, follow-up, and meeting booking. This is a systems-building role that combines technical acumen with sales execution. Your responsibilities include:
- Building and maintaining GTM workflows including outbound email sequencing, CRM automation, lead scoring, custom tooling, and inbound lead qualification
- Using AI tools aggressively to scale your output (e.g., vibe code scrapers, workflow automation, internal tool building)
- Developing messaging that resonates with technical buyers: ML engineers, AI researchers, and engineering leaders at frontier labs and enterprises
- Quickly learning prospect businesses and understanding their pain points, workflows, and why HUD's solution matters
- Tracking pipeline metrics and optimizing conversion at every stage
- Working closely with founders to develop and refine the GTM playbook as the company scales
The company operates with ~25 people, mostly full-time in-person, though some remote work is available. The team includes 4 International Olympiad medalists, serial AI startup founders, and researchers with publications at top conferences. HUD has 8 figures in funding and is scaling profitably to meet strong demand.
The role is based in San Francisco or Singapore, with flexibility for remote candidates who can maintain 70-80% time zone overlap with either office. Full-time employment with visa sponsorship available for relocation to the US or Singapore.
REQUIREMENTS:
- Demonstrated ability to build and run a GTM motion with real, measurable results
- Strong track record of closing deals
- CS or engineering background, or extensive vibe-coding on the side
- Deep familiarity with GTM tooling
- Strong written communication that technical people respond to
- Early-stage startup experience with ability to work independently in fast-paced environments
STRONG ADDITIONAL QUALIFICATIONS:
- Experience selling developer tools, infrastructure, or ML/AI products
- History of building outbound systems using Clay, Apollo, or custom automation
- Familiarity with RL concepts (environments, evals, benchmarks)
- Evidence of creative, high-leverage approaches to pipeline generation
Note: The company prioritizes technical aptitude and learning potential over years of experience and encourages motivated candidates to apply even if they don't meet all criteria.
