GTM Engineer

About the Role

Our client builds AI-powered safety infrastructure for schools, hospitals, hotels, and retailers — combining cloud software (emergency response, mass communications, AI-driven threat detection) with hardware (gunshot sensors, panic buttons) to modernize how organizations protect their people. They have raised $20M, are coming out of stealth, and are now hiring a GTM Engineer to own and scale the revenue infrastructure behind that growth. Reporting to the Head of Business, you will be the technical backbone of the GTM team. This is a pure systems ownership role — no copywriting, no campaign management. You will inherit a working foundation (data warehouse, signals, integrations) from an existing GTME consultant and take it to the next level as the company scales across a complex, multi-channel market: direct sales, channel integrators, MSPs, and legislative stakeholders. You will build the data infrastructure and tooling that lets SDRs, AEs, and leadership operate with precision — and join as a founding hire with a clear path from IC to function owner.

What You'll Own

• Own and scale the data warehouse — from ingestion and enrichment pipelines to query performance across complex, multi-location facility ownership data

• Build and maintain push/pull signal systems that surface intent and engagement signals to the sales team in real time

• Ship front-end dashboards and internal tooling that empowers SDRs, AEs, and leadership to self-serve without an engineering dependency

• Manage the full GTM tech stack: third-party API integrations, enrichment providers, and CRM connectivity

• Deploy and iterate on AI agents for high-value GTM use cases — the company already has agents in production across multiple workflows

• Work cross-functionally with SDR, AE, software engineering, and leadership to prioritize infrastructure investments and reduce GTM bottlenecks

What We're Looking For

• 5+ years of GTM engineering or RevOps engineering experience — you have built systems, not just administered them

• Proven track record building or scaling a GTM tech stack from early stage — not just inheriting and maintaining one someone else built

• Deep technical fluency across data warehousing, push/pull signal systems, front-end tooling, and third-party API integrations

• Experience shipping dashboards or internal tools that non-technical teammates actually depend on daily

• Hands-on AI agent deployment experience — you have built and shipped agents that drive measurable business outcomes (required, not optional)

• Comfortable making autonomous, high-quality decisions about where to focus engineering effort with minimal oversight

• Excited to join as a founding hire: high ownership, high ceiling, direct line to leadership

Tech Stack

Data Warehouse, AI Agents, Signal Systems, GTM Engineering, RevOps, API Integrations, Python, Front-End Tooling, CRM Integration