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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