GTM Engineer

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 Own the outbound pipeline end-to-end — from targeting and enrichment to outreach, follow-up, and meeting booking. Build and maintain GTM workflows including email sequencing, CRM automation, lead scoring, and custom internal tooling. Use AI tools aggressively to multiply your output: automated scrapers, workflow automation, and bespoke tooling. Develop and iterate on messaging that resonates with ML engineers, AI researchers, and engineering leaders. Quickly learn prospect businesses and industries to understand their pain points, workflows, and use cases. Track pipeline metrics and optimize conversion at every stage of the funnel. Collaborate with founders to continuously refine and scale the GTM playbook as the company grows. What We're Looking For Required Demonstrated ability to build and run a GTM motion with real, measurable results — and a track record of closing deals. Strong technical foundation, whether from a CS/engineering background or hands-on side projects and vibe-coding experience. Deep familiarity with GTM tooling and a history of building outbound systems using tools like Clay, Apollo, or custom automation. Experience selling developer tools, infrastructure, or ML/AI products to technical buyers. Strong written communication skills — the kind that technical people actually respond to. Early-stage startup experience and the ability to thrive independently in fast-paced, ambiguous environments. Evidence of creative, high-leverage approaches to pipeline generation. Nice to Have Familiarity with reinforcement learning concepts, including environments, evals, and benchmarks. Prior experience as an engineer-to-GTM hybrid or similar crossover role. Compensation & Benefits Salary: $100,000 – $150,000 per year 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.