Senior Engineering Manager for Self-Serve (Learning)

RDQ426R220 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. The Self-Serve team owns Databricks' product-led growth motion — the experience that takes someone from "I just heard about Databricks" to succeeding on the platform entirely on their own. Our most ambitious bet is Learning: making Databricks the place where anyone interested in data + AI comes to learn, and building the largest community of active, capable learners in the world. It's a long game with a simple thesis — if people learn data + AI on Databricks, it becomes ubiquitous with the field itself, driving adoption and revenue. As a Senior Engineering Manager on the Self-Serve team, you will lead the Learning bet end to end across two sides: self-paced learning — a place to learn any Databricks skill, hands-on labs that spin up inside a real workspace, and a durable skill profile a learner carries across jobs — and enterprise-managed learning, giving admins the tools to assign, track, and grow learning inside their orgs. AI is central to both: a content-generation agent that scales the catalog far past what we could author by hand, and an AI tutor that guides learners hands-on inside the product. This is a genuine 0→1 product with real systems depth — on-demand provisioning, identity, sandboxing, and an interactive learning engine that must scale to millions of learners — and you'll grow and lead a team of ~12 engineers (planned to roughly double) to build it. The impact you will have: • St…