GTM Engineer

HUD; Singapore; Hybrid; SGD 100,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

100% medical, dental, vision coverage

Lunch & dinner in office

Holiday break + PTO & holidays

Equinox membership

401k

Commuter benefits

Unlimited tokens for AI tools

Job summary

HUD is seeking a GTM Engineer who can carry technical conversations and close deals at scale. You will own the outbound pipeline end-to-end, craft messaging for technical buyers, and build GTM workflows with outreach, CRM automation, and lead scoring.

You should have a track record of building outbound systems, familiarity with tools like Clay or Apollo, and the ability to work independently in a fast-paced startup. We value learning potential and prefer candidates who understand RL AI contexts.

Qualifications

• 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.

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

Skills

GTM motion

Closing deals

Tech background

GTM tooling

Written communication

Independent worker

Education

CS or engineering background

Tools

Clay

Apollo

Custom automation

Job description

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

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 from Blue Shield of CA (US employees)
• Lunch and dinner when you’re in the office (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)
• 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 [[email removed]](mailto:[email removed]) or elsewhere if we missed your application!