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Mid-Level GTM Engineer

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

Compensation

Salary undisclosed
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Description

About the Role

This role sits at the intersection of engineering and revenue at an early-stage AI infrastructure company. You will build and improve the outbound systems and messaging needed to reach technical buyers, working closely with the founding team to shape the go-to-market approach.

What You'll Do

  • Own the outbound pipeline from prospect targeting and enrichment through outreach, follow-up, and meeting booking.

  • Build and maintain GTM workflows for email sequencing, CRM automation, lead scoring, and custom tooling.

  • Use AI-assisted scrapers, workflow automation, and internal tools to increase pipeline-generation capacity.

  • Develop and test messaging for ML engineers, AI researchers, and engineering leaders.

  • Learn prospect workflows and business needs, then connect them to relevant solutions.

  • Track pipeline metrics and improve conversion throughout the funnel.

  • Collaborate with the founding team to refine the GTM playbook as the company grows.

What We're Looking For

  • At least 2 years of relevant GTM or commercial experience, with measurable results building a sales motion and closing deals.

  • A computer science or engineering background, or substantial hands-on coding and technical project experience.

  • Strong written communication and the ability to engage in technical conversations with ML and engineering audiences.

  • Experience selling developer tools, infrastructure, or AI/ML products, ideally in an early-stage startup.

  • Hands-on experience with GTM systems such as outbound sequencing, CRM automation, lead scoring, and tools like Clay or Apollo.

  • Comfort using AI tools and custom automation to build high-leverage prospecting workflows.

  • Familiarity with reinforcement learning concepts, including environments, evaluations, and benchmarks, and the AI data landscape.

Compensation & Benefits

Salary: USD 100,000 to USD 150,000 annually. Visa sponsorship is available.

Location

On-site in Singapore, Singapore.

Stack

Machine LearningReinforcement Learning
Posted
Oct 3, 2026
Last seen
Oct 3, 2026
First seen
Oct 3, 2026

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