GTM Engineer (Singapore Time, Fully Remote)

About the role

A fast-growing AI company building infrastructure for AI training data is hiring a GTM Engineer through Pragmatike. The company's marketplace connects data providers with AI companies, and as it scales, it is building the systems and infrastructure to run its commercial operations. The GTM Engineer owns the technical infrastructure behind the commercial team, building data pipelines, automations, integrations and internal tools that help a lean team source, qualify and close opportunities at scale. The role is engineering-first with a strong commercial focus, fully remote with Singapore time zone.

Key responsibilities

• Own the GTM tooling stack end to end: select, configure, integrate and maintain the tools used by the commercial team.
• Build scalable sourcing systems, including scrapers and data enrichment pipelines, to identify data providers and opportunities.
• Develop and maintain the data infrastructure that connects CRM, marketplace and product data into a single source of truth for pipeline, listings and revenue.
• Build internal tools for provider research, listing quality checks, pipeline management and sales forecasting.
• Automate repetitive workflows across sourcing, qualification, lead routing and reporting.
• Work with founders and the commercial team to find bottlenecks and prioritise high-impact automation projects.
• Explore and implement AI agents where they offer clear advantages over traditional automation.
• Make build-versus-buy decisions for GTM tooling.

Required profile

• 2+ years of professional software engineering experience.
• Experience building internal tools, automations or integrations used by other teams.
• Hands-on experience developing data pipelines and API integrations between business systems.
• Commercial awareness and interest in revenue operations; able to understand sales workflows.
• Clear written communication and the ability to take ownership in fast-moving environments.

Required skills

• Strong programming in Python or TypeScript, with fluent SQL.
• Nice to have: RevOps, growth engineering or sales engineering experience; hands-on experience with LLMs or AI agents in production; early-stage startup or founder experience; familiarity with AI training data, RL environments, evaluations and benchmarks.

Working hours align with either Singapore or US Pacific business hours, depending on location. Candidates who do not meet every requirement are welcome.