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Senior Engineering Manager for Self-Serve (Learning)

Databricks· Engineering
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Mountain View, CA$222k - $300kFull-timePosted 2mo ago

About the role

Senior Engineering Manager leading the Learning-focused Self-Serve portfolio, spanning self-paced learning, hands-on labs, and enterprise-managed learning. You will lead a ~12-engineer team (with plans to roughly double) to build scalable, AI-enhanced learning experiences that enable product-led growth and widespread adoption of Databricks.

Responsibilities

  • Define and drive the technical and product strategy for Learning, and tie it into the broader self-serve growth motion.
  • Own the roadmap, execution, and delivery — taking a 0→1 product from early signal to millions of learners at high quality.
  • Establish team best practices — design reviews, code quality, testing, and performance for high-scale, interactive systems.
  • Partner across R&D, Learning & Enablement, Marketing (university and online channels), and Field Engineering to align the product with learner adoption.

Qualifications

  • 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).
  • Technical depth with full-stack experience (including back-end, not purely front-end/UI); comfortable leading a mix of front-end and full-stack engineers.
  • Proven experience scaling engineering teams from 10 to 30+ engineers.
  • Track record building and scaling consumer-facing products, ideally taking early-stage products from 0→1 through scale.
  • Genuine excitement for product-led growth and applying AI in a real product.
  • Experience designing scalable, distributed, customer-facing systems, ideally in a SaaS environment.
  • Strong collaboration skills to align technical strategy with company growth objectives across product, engineering, and go-to-market partners.

Skills

Required:Software engineeringEngineering managementFull-stack developmentScaling teams

Benefits

  • Benefits details available via regional link: benefits page linked in the description.
Last updated Sep 10, 2026. Interested? Apply on the company site.

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Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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