AI Engineer — GTM Analytics

<p data-pm-slice="1 1 []"><span style="font-family: helvetica, arial, sans-serif;">SLSQ327R637</span></p> <p><span style="font-family: helvetica, arial, sans-serif;">At Databricks, we are passionate about enabling GTM Analytics Engineering builds the internal data and AI platform that Databricks' own go-to-market organization runs on — used by <strong>6,000+ field users</strong> across sales, strategy, and operations. We own the number one Databricks App, the Genie agents, which are powered through the lakehouse (Unity Catalog bronze/silver/gold) beneath them. We are "Customer Zero" for Databricks: we adopt the newest Databricks and AI tooling first, in production, and pave the path for the rest of the company.</span></p> <p><span style="font-family: helvetica, arial, sans-serif;">We're in the middle of a step-change — moving the app from AI/BI and Genie experience to an <strong>AI-native, genie-centric platform</strong> that delivers <em>prescriptive</em> recommendations (not just descriptive reports), built to scale for the next 3–5 years. We build with AI in the loop end to end, and a large and growing share of our code is AI-generated and human-reviewed.</span></p> <h2><span style="font-family: helvetica, arial, sans-serif;">The role</span></h2> <p><span style="font-family: helvetica, arial, sans-serif;">As an AI Engineer you'll help build the intelligence and application layers of that platform: Genie-powered analytics agents, LLM-driven workflows (feedback analysis, "what's new" enablement, BRD-to-plan automation), and the Databricks Apps and Lakebase services that serve them. You'll work alongside senior engineers, and you'll be expected to lean on AI coding tools heavily and thoughtfully from day one. This is a high-ownership, fast-shipping team where early-career engineers get real surface area.</span></p> <h2><span style="font-family: helvetica, arial, sans-serif;">What you'll do</span></h2> <ul> <li style="font-family: helvetica, arial, sans-serif;"><span