About the Role
This is a founding GTM hire at an early-stage AI infrastructure company building the leading platform for reinforcement learning (RL) environments, evaluation, and post-training data. The platform is used by ML engineers, AI researchers, and engineering leaders — and it resonates deeply with that audience. Now it's time to find and sell to them at scale.
As a GTM Engineer, you'll sit at the intersection of engineering and revenue. You'll own the outbound pipeline end-to-end, build automated workflows using AI tooling, and craft messaging that technical buyers actually respond to. You'll work directly with the founding team to define and scale the go-to-market playbook from the ground up — this is a high-ownership, high-impact role for someone who builds, not just executes.
What You'll Do
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Own the outbound pipeline end-to-end — from targeting and enrichment to outreach, follow-up, and meeting booking.
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Build and maintain GTM workflows including email sequencing, CRM automation, lead scoring, and custom internal tooling.
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Use AI tools aggressively to multiply your output: automated scrapers, workflow automation, and bespoke tooling.
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Develop and iterate on messaging that resonates with ML engineers, AI researchers, and engineering leaders.
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Quickly learn prospect businesses and industries to understand their pain points, workflows, and use cases.
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Track pipeline metrics and optimize conversion at every stage of the funnel.
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Collaborate with founders to continuously refine and scale the GTM playbook as the company grows.
What We're Looking For
Required
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Demonstrated ability to build and run a GTM motion with real, measurable results — and a track record of closing deals.
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Strong technical foundation, whether from a CS/engineering background or hands-on side projects and vibe-coding experience.
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Deep familiarity with GTM tooling and a history of building outbound systems using tools like Clay, Apollo, or custom automation.
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Experience selling developer tools, infrastructure, or ML/AI products to technical buyers.
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Strong written communication skills — the kind that technical people actually respond to.
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Early-stage startup experience and the ability to thrive independently in fast-paced, ambiguous environments.
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Evidence of creative, high-leverage approaches to pipeline generation.
Nice to Have
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Familiarity with reinforcement learning concepts, including environments, evals, and benchmarks.
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Prior experience as an engineer-to-GTM hybrid or similar crossover role.
Compensation & Benefits
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Salary: $100,000 – $150,000 per year
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Visa sponsorship: Available
Location
This role is on-site in San Francisco, CA. Candidates should be based in or willing to relocate to the San Francisco Bay Area.
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