Senior GTM Engineer

CleraSingaporeOn-siteFull-timeSenior, 5–8 yearsListed 1 hour ago

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About this role

About the Role

An early-stage AI infrastructure startup is looking for a GTM Engineer to connect technical product development with revenue growth. You will build and optimize outbound systems for a platform focused on reinforcement learning environments, AI evaluation, and post-training data. Working closely with the founders, you will help establish the go-to-market approach and reach technical buyers at scale.

What You'll Do

- Own the outbound pipeline from prospect targeting and data enrichment through outreach, follow-up, and meeting booking.
- Build and maintain outbound email sequences, CRM automation, lead scoring, and custom GTM tools.
- Use AI tools, scrapers, and workflow automation to increase pipeline generation and productivity.
- Develop and refine messaging for ML engineers, AI researchers, and engineering leaders.
- Research prospect businesses and industries to understand their workflows, needs, and potential fit.
- Track pipeline metrics and improve conversion across each stage.
- Partner with founders to develop and refine the go-to-market playbook.

What We're Looking For

- At least 2 years of relevant GTM or commercial experience, with measurable results building a GTM motion and closing deals.
- A computer science or engineering background, or substantial coding and technical project experience.
- Ability to engage in technical conversations with ML engineers, AI researchers, and engineering leaders.
- Experience building outbound systems with GTM tools such as Clay or Apollo, or custom automation, including CRM workflows and lead scoring.
- Experience using AI tools to build scrapers, automations, or internal tools that improve GTM output.
- Strong written communication and experience iterating on messaging for technical buyers.
- Early-stage startup experience; experience selling developer tools, infrastructure, or ML and AI products is valuable.
- Familiarity with reinforcement learning concepts such as environments, evaluations, and benchmarks, and the AI data vendor landscape.

Compensation & Benefits

Salary range: $100,000 to $170,000 USD annually. Visa sponsorship is available.

Location

On-site in Singapore, Singapore.