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GTM Engineer

On-site
CleraSingapore, SG1 day agoWebsite
Fresh
Full-time
Engineering

Compensation

Salary undisclosed
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Description

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.

Stack

Machine LearningReinforcement Learning
Posted
Sep 19, 2026
Last seen
Sep 19, 2026
First seen
Sep 19, 2026

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