GTM Engineer
AI Summary
Builds and scales the go-to-market playbook for an early-stage AI infrastructure startup, owning the full outbound pipeline and using AI-powered tooling to sell developer tools to ML engineers and AI researchers.
About this role
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.
Skills
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