Senior Engineering Manager for Self-Serve (Learning)

<p>RDQ426R220</p> <p>At Databricks, we are passionate about enabling data teams to solve the world&39;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&39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.</p> <p> </p> <p>The Self-Serve team owns Databricks&39; 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&39;s a long game with a simple thesis — if people learn data + AI <em>on</em> Databricks, it becomes ubiquitous with the field itself, driving adoption and revenue.</p> <p> </p> <p>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&39;ll grow and lead a team of ~12 engineers (planned to roughly double) to build it.</p> <p> </p> <p><