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&39; 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&39;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&39;ll help build the intelligence and application layers of that platform: Genie-powered analytics agents, LLM-driven workflows (feedback analysis, "what&39;s new" enablement, BRD-to-plan automation), and the Databricks Apps and Lakebase services that serve them. You&39;ll work alongside senior engineers, and you&39;ll be expected to lean on AI coding tools heavily and thoughtfully from day one. This is a hig