Senior GTM Engineer
clera · Singapore ·
- Work mode
- Onsite
- Seniority
- Senior
- Employment
- Full time
- Category
- Sales
- Experience
- 2+ years
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.