GTM Data Engineer

This is a hands-on, high-leverage role. You'll set the technical and analytical bar for the team. You'll own the GTM data models and pipelines that matter, build a trustworthy semantic layer reps and leadership can build from, and use that foundation to answer the hard questions about what's driving pipeline, conversion, and retention. You'll define how GTM interacts with data in an AI-first way, work with the GTM Apps team and RevOps to keep tooling consistent, and partner with the product Data and Enterprise Engineering teams to get the data you need.

Responsibilities:

• Own the GTM data models and pipelines that power analysis - building and maintaining them, setting high quality standards, and creating a safe and consistent semantic layer GTM can build on.
• Run deep-dive analyses on what's driving (and blocking) revenue: funnel conversion, segment performance, customer success, and rep productivity.
• Optimize the forecasting, quota, and capacity models leadership plans against, and pressure-test the assumptions behind them.
• Define how GTM interacts with data in an AI-first way,what's self-serve via Cursor and what's prebuilt into governed dashboards and applications.
• Partner with the product Data and Enterprise Engineering teams to ensure GTM has the data it needs and uses consistent pipelines, definitions, and models wherever possible.

Requirements:

• Exceptional SQL skills (non-negotiable).
• Experience building and maintaining production data pipelines and models.
• Strong analytical judgment and ability to move between the big picture and details.
• Direct experience with GTM, revenue, or sales analytics is preferred.
• Ability to operationalize metrics and tooling for non-technical stakeholders.
• High ownership and comfort pushing back on senior leaders.
• Bias towards durable systems over one-off decks.