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Mid-Level GTM Engineer

ABOUT THE ROLE

Job Full source details
Clera Singapore Source published Oct 3, 2026 Verified 2 hours ago
✓ 100% verification score · Source: Clera (ashby) · Always confirm final requirements on the original source.
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EmploymentFull-time

Overview

ABOUT THE ROLE

Full job 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.

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