AI GTM Engineer

Job type: Full Time · Department: Engineering · Work type: On-Site

Bengaluru, Karnataka, India

The core responsibilities for the job include the following:

GTM systems and automation:

  • Design and build the workflows that connect enrichment, qualification, routing, and outreach into one system that runs at scale.

  • Replace manual, repetitive GTM processes with reliable automation.

  • Build, run, and own automated campaign pipelines end to end.

  • Establish guardrails and monitoring so automated workflows stay accurate as volume grows.

AI agents and tooling:

  • Build and configure AI agents for prospecting, enrichment, and personalization.

  • Build internal tools so sales and marketing can self-serve on the systems you create.

  • Bring AI into the GTM motion in a way that strengthens human judgment rather than replacing it.

Pipeline data and measurement:

  • Own and maintain the GTM measurement layer: keep pipeline and funnel data accurate, current, and trustworthy.

  • Instrument the funnel end to end and build reporting that connects activity to pipeline and revenue.

Cross-functional partnership:

  • Work directly with sales, marketing, and leadership to turn GTM strategy into running systems.

  • Translate what the commercial team needs into technical infrastructure they can rely on.

Requirements:

  • 2+ years of direct, hands-on experience as a GTM engineer, building and running go-to-market systems.

  • Hands-on command of a modern GTM stack: Clay, ZoomInfo, Sales Navigator, Smartlead, HubSpot, or similar tools.

  • Full-stack development experience, especially with FastAPI, Next.js, and Node.js .

  • API fluency (REST) and the ability to automate against the tools in the GTM stack.

  • SQL and data-modeling skills for funnel and pipeline work.

  • Strong problem-solving instinct: thinks through edge cases, handles errors gracefully, and builds systems that are maintainable, not brittle.

  • Comfortable operating independently and taking full ownership in a fast-moving, ambiguous environment.

  • Ideal profile: Someone who bridges the commercial and the technical, the kind of operator who can read a data schema and write the code to work against it in the same afternoon.

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