Join an early-stage AI infrastructure team to build and scale its go-to-market motion. This role bridges engineering and revenue, helping technical buyers discover tools for developing and evaluating AI models.
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 tools, scrapers, and workflow automation to increase the reach and efficiency of GTM efforts.
Develop and refine messaging for ML engineers, AI researchers, and engineering leaders.
Learn prospects' businesses, workflows, and challenges to communicate the product's value.
Track pipeline metrics and improve conversion throughout the outbound process.
Work with company leaders to develop and refine the go-to-market playbook.
At least 2 years of relevant GTM or commercial experience, with measurable results building a go-to-market motion and closing deals.
A computer science or engineering background, or substantial coding and technical project experience.
Ability to engage credibly in technical conversations with ML engineers, AI researchers, and engineering leaders.
Experience building outbound systems and workflows, including sequencing, CRM automation, lead scoring, and custom tools. Familiarity with tools such as Clay, Apollo, or similar platforms is useful.
Experience using AI and automation to improve GTM output, and strong written communication for technical audiences.
Background selling developer tools, infrastructure, or AI/ML products, ideally in an early-stage startup.
Familiarity with reinforcement learning concepts such as environments, evaluations, and benchmarks, and awareness of AI data markets.
Base salary: $100,000 to $170,000 USD annually. Visa sponsorship is available.
On-site in Singapore, Singapore.