About HUD

HUD's mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.

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 brings together five International Olympiad medalists across IOI, ILO and IPhO, researchers published at NeurIPS and ICLR, and engineers and researchers from Google DeepMind, Amazon, AWS, Meta, Qwen, GLM, and Mercor. It also includes operators from BCG and Uber, the first security hire at one of the largest crypto exchanges, serial AI startup founders, former quant researchers, artists and the former #1 ranked Catan player in the world.

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 (US and Singapore employees)

Lunch and dinner for in-office employees

Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays