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GTM Engineer

Clera Singapore ; Singapore (whole country)
Full-time On-site work

Publication date: 01/11/2026

About the Role

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.

Compensation & Benefits

Base salary: $100,000 to $170,000 USD annually. Visa sponsorship is available.

Location

On-site in Singapore, Singapore.

Responsibilities

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.

Requirements

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.
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