GTM Engineer (Singapore Time)

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 role is engineering-first with a strong commercial focus, fully remote and aligned to Singapore or US Pacific business hours.

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 find 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 identify bottlenecks and prioritise high-impact automation projects.
• Explore and implement AI agents where they add clear value, and make build-versus-buy decisions for the tooling stack.

Required profile

• 2+ years of professional software engineering experience.
• Hands-on experience building internal tools, automations or integrations used by other teams.
• 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.
• 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.

Required skills

• Strong Python or TypeScript, with fluent SQL.
• Data pipelines and API integrations.

What we offer

• Flexible setup: on-site in San Francisco or Singapore, or remote with Singapore or US Pacific hours.
• High-impact work in a lean team, working closely with founders.