GTM Engineer

About the Role This is a founding GTM hire at an early-stage AI/ML infrastructure company building tools for reinforcement learning environments and model evaluation. You'll bridge engineering and revenue — owning the outbound pipeline end-to-end and building the systems that make it scale — working directly alongside the founding team to shape the go-to-market playbook from scratch. 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 outbound email sequencing, CRM automation, lead scoring, and custom internal tooling. Use AI tools aggressively to multiply output — automated scrapers, workflow automation, and purpose-built tooling. Develop and iterate on messaging that resonates with ML engineers, AI researchers, and engineering leaders. Learn prospect businesses and industries quickly to understand pain points, workflows, and product fit. Track pipeline metrics and optimize conversion at every stage of the funnel. Collaborate with the founding team to refine and scale the GTM playbook as the company grows. What We're Looking For Demonstrated track record of building and running a GTM motion with measurable results, including closing deals. Strong technical foundation — CS or engineering background, or extensive hands-on coding and technical project experience. Comfortable holding technical conversations with ML engineers, AI researchers, and engineering leaders. Experience building outbound systems using tools like Clay, Apollo, or custom automation. History of using AI tools aggressively to enhance GTM output and operational leverage. Experience selling developer tools, infrastructure, or ML/AI products to technical buyers. Familiarity with reinforcement learning concepts — environments, evals, and benchmarks is a strong plus. Early-stage startup experience; thrives in fast-moving, ambiguous environments without predefined playbooks. Strong written communication that technical audiences actually respond to. Compensation & Benefits Salary range: $100,000 – $150,000 USD annually. Visa sponsorship is available. Location On-site in San Francisco, CA . Candidates must be willing to work from the office.