Startups · AI

Senior Engineering Manager for Self-Serve (Learning)

Databricks · Mountain View, California · On-site

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About Databricks

Backed by Battery, Insight and Kleiner Perkins.

About the role

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. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Strategy & Vision: Define and drive the technical and product strategy for Learning, and tie it into the broader self-serve growth motion
  • Execution Ownership: Own the roadmap, execution, and delivery — taking a 0→1 product from early signal to millions of learners at the highest standards of quality
  • Engineering Excellence: Establish team best practices — design reviews, code quality, testing, and performance for high-scale, interactive systems
  • 15+ years of software engineering experience with a strong track record of technical leadership and impact
  • 5+ years of engineering management experience, including 2+ years managing other managers (or clear readiness to)
More about this role

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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...

Read the full posting on Databricks's site ↗

Engineering

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