GTM Engineer

About the Role

This is a founding GTM role at an early-stage AI infrastructure company building the platform for reinforcement learning environments and post-training data. You will sit at the intersection of engineering and revenue, owning the full outbound pipeline while collaborating directly with the founders to define and scale the go-to-market playbook from scratch.

What You'll Do

Own the end-to-end outbound pipeline, 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 through 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 pain points, workflows, and relevant value propositions. Track pipeline metrics and optimize conversion at every stage.

Collaborate with founders to develop and refine the GTM playbook as the company scales.

What We're Looking For

At least 2 years of relevant GTM or commercial experience, with a demonstrated track record of building outbound motions and closing deals. Strong technical foundation from a computer science or engineering background, or extensive hands-on coding and technical project experience. Deep familiarity with GTM tooling such as Clay, Apollo, or equivalent outbound automation platforms.

Experience building and running outbound systems, not just executing manual plays. Proven ability to engage in technical conversations with ML engineers, AI researchers, and engineering leaders. Experience selling developer tools, infrastructure, or ML/AI products to technical buyers.

Familiarity with reinforcement learning concepts including environments, evals, and benchmarks. Strong written and verbal communication skills that land with technical audiences. Early-stage startup experience with comfort operating independently in fast-moving environments.

Creative, high-leverage approaches to pipeline generation backed by measurable results. Compensation & Benefits Salary range: $100,000 to $150,000 USD annually. Visa sponsorship is available.

Location On-site in Singapore . This role requires in-person presence and is not remote.

ABOUT THE ROLE

This is a founding GTM role at an early-stage AI infrastructure company building the platform for reinforcement learning environments and post-training data. You will sit at the intersection of engineering and revenue, owning the full outbound pipeline while collaborating directly with the founders to define and scale the go-to-market playbook from scratch.

WHAT YOU'LL DO

• Own the end-to-end outbound pipeline, 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 through 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 pain points, workflows, and relevant value propositions.
• Track pipeline metrics and optimize conversion at every stage.
• Collaborate with founders to develop and refine the GTM playbook as the company scales.

WHAT WE'RE LOOKING FOR

• At least 2 years of relevant GTM or commercial experience, with a demonstrated track record of building outbound motions and closing deals.
• Strong technical foundation from a computer science or engineering background, or extensive hands-on coding and technical project experience.
• Deep familiarity with GTM tooling such as Clay, Apollo, or equivalent outbound automation platforms.
• Experience building and running outbound systems, not just executing manual plays.
• Proven ability to engage in technical conversations with ML engineers, AI researchers, and engineering leaders.
• Experience selling developer tools, infrastructure, or ML/AI products to technical buyers.
• Familiarity with reinforcement learning concepts including environments, evals, and benchmarks.
• Strong written and verbal communication skills that land with technical audiences.
• Early-stage startup experience with comfort operating independently in fast-moving environments.
• Creative, high-leverage approaches to pipeline generation backed by measurable results. COMPENSATION & BENEFITS Salary range: $100,000 to $150,000 USD annually. Visa sponsorship is available. LOCATION On-site in Singapore. This role requires in-person presence and is not remote.