Engineering Full-time

AI GTM Engineer

apartment WizCommerce
📍 Unknown
schedule Posted 8/10/2026

About the Role

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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