GTM Engineer - Early-Stage AI Infrastructure

About the role

An early-stage AI infrastructure team is looking for a GTM Engineer to build its go-to-market motion from the ground up. The role connects engineering and revenue, creating scalable systems to reach technical buyers and grow adoption of tools for building and evaluating AI models. The position is on-site in Singapore.

Key responsibilities

• Own the outbound pipeline, from prospect targeting and enrichment through outreach, follow-up and meeting booking.
• Build and maintain outbound sequences, CRM automations, lead scoring and custom GTM tooling.
• Use AI tools, scrapers and workflow automation to increase the reach and efficiency of GTM work.
• Develop and refine messaging for ML engineers, AI researchers and engineering leaders, based on their businesses, workflows and pain points.
• Track pipeline metrics and optimise conversion across the outbound process.
• Partner with the founding team to shape and improve the go-to-market playbook.

Required profile

• At least 2 years of relevant GTM or commercial experience, with a track record of building a measurable GTM motion and closing deals.
• Computer science or engineering background, or substantial experience with coding and technical projects.
• Experience building and running end-to-end outbound pipelines, including targeting, enrichment, outreach and conversion measurement.
• Hands-on familiarity with GTM systems such as Clay, Apollo, CRM automation, sequencing, lead scoring and custom tooling.
• Ability to hold technical conversations with ML engineers, AI researchers and engineering leaders.
• Early-stage startup experience; experience selling developer tools, infrastructure or AI/ML products is valuable.
• Familiarity with reinforcement learning concepts such as environments, evaluations and benchmarks is beneficial.

What we offer

• Base salary of $100,000 to $170,000 USD annually.
• Visa sponsorship available.