Senior GTM Engineer

ABOUT THE ROLE An early-stage AI infrastructure startup is looking for a GTM Engineer to connect technical product development with revenue growth. You will build and optimize outbound systems for a platform focused on reinforcement learning environments, AI evaluation, and post-training data. Working closely with the founders, you will help establish the go-to-market approach and reach technical buyers at scale. WHAT YOU'LL DO - Own the outbound pipeline from prospect targeting and data enrichment through outreach, follow-up, and meeting booking. - Build and maintain outbound email sequences, CRM automation, lead scoring, and custom GTM tools. - Use AI tools, scrapers, and workflow automation to increase pipeline generation and productivity. - Develop and refine messaging for ML engineers, AI researchers, and engineering leaders. - Research prospect businesses and industries to understand their workflows, needs, and potential fit. - Track pipeline metrics and improve conversion across each stage. - Partner with founders to develop and refine the go-to-market playbook. WHAT WE'RE LOOKING FOR - At least 2 years of relevant GTM or commercial experience, with measurable results building a GTM motion and closing deals. - A computer science or engineering background, or substantial coding and technical project experience. - Ability to engage in technical conversations with ML engineers, AI researchers, and engineering leaders. - Experience building outbound systems with GTM tools such as Clay or Apollo, or custom automation, including CRM workflows and lead scoring. - Experience using AI tools to build scrapers, automations, or internal tools that improve GTM output. - Strong written communication and experience iterating on messaging for technical buyers. - Early-stage startup experience; experience selling developer tools, infrastructure, or ML and AI products is valuable. - Familiarity with reinforcement learning concepts such as environments, evaluations, and benchmarks, and the AI data vendor landscape. COMPENSATION & BENEFITS Salary range: $100,000 to $170,000 USD annually. Visa sponsorship is available. LOCATION On-site in Singapore, Singapore.