GTM Engineer

On-site
CompanyClera
LocationSingapore
CategorySoftware Engineering
DepartmentEngineering
Seniority-
WorkplaceOn-site
Posted2026-09-26
Viaashby

Description

ABOUT THE ROLE

This is a ground-floor GTM role at an early-stage AI infrastructure startup, working directly with the founders to build and scale a go-to-market playbook from scratch. You'll bridge engineering and revenue, owning the full outbound pipeline while using AI-powered tooling to move fast and sell to a deeply technical audience of ML engineers, AI researchers, and engineering leaders.

WHAT YOU'LL DO

  • Own the end-to-end outbound pipeline, covering targeting, enrichment, 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 tools.
  • Develop and iterate on messaging that resonates with ML engineers, AI researchers, and engineering leaders.
  • Quickly learn prospect businesses to understand their pain points and workflows.
  • Track pipeline metrics and optimize conversion at every stage.
  • Collaborate with founders to refine and evolve the GTM playbook as the company scales.

WHAT WE'RE LOOKING FOR

  • At least 2 years of relevant GTM or commercial experience, with a measurable track record of building GTM motions and closing deals.
  • Strong technical foundation from a CS or engineering background, or extensive hands-on coding and technical project experience.
  • Demonstrated ability to hold technical conversations with ML engineers, AI researchers, and engineering leaders.
  • Deep familiarity with GTM tooling and experience building outbound systems using tools such as Clay, Apollo, or custom automation.
  • Experience selling developer tools, infrastructure, or ML/AI products to technical buyers.
  • Proven use of AI tools to enhance and scale GTM output.
  • Experience in an early-stage startup environment and comfort operating independently.
  • Familiarity with Reinforcement Learning concepts including environments, evals, and benchmarks is a strong plus.
  • Creative, high-leverage approaches to pipeline generation.

COMPENSATION & BENEFITS

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

LOCATION

On-site in Singapore. Candidates must be willing to work from the Singapore office.