Senior Engineering Manager for Self-Serve (Learning)

Databricks
Mountain View
Workplace: OnsiteFull timeUSD 222,000 - 300,000 annuallyFunction: Education & TrainingExperience: 15+ yearsSkills: ["Technical leadership","Roadmap execution","Engineering excellence","Cross-functional collaboration","Strategy alignment"]

Lead the end-to-end Learning bet within the Self-Serve product-led growth motion. You’ll own strategy and delivery for self-paced learning and enterprise-managed learning, including AI-powered tutoring and content-generation systems. Grow and lead a team (~12 engineers, planned to double) to build scalable, interactive, customer-facing platforms—covering identity, provisioning, sandboxing, and an interactive learning engine—while partnering across engineering, learning, marketing, and field teams.

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FursaFursa
Databricks
Databricks
2 days ago

Senior Engineering Manager for Self-Serve (Learning)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Lead the end-to-end Learning bet within the Self-Serve product-led growth motion. You’ll own strategy and delivery for self-paced learning and enterprise-managed learning, including AI-powered tutoring and content-generation systems. Grow and lead a team (~12 engineers, planned to double) to build scalable, interactive, customer-facing platforms—covering identity, provisioning, sandboxing, and an interactive learning engine—while partnering across engineering, learning, marketing, and field teams.
Location: Mountain View
Workplace: Onsite
Employment Type: Full time
Job Function: Education & Training
Seniority: Manager level

Key Responsibilities

  • •Define and drive the technical and product strategy for Learning and align it with the self-serve growth motion.
  • •Own the roadmap, execution, and delivery of a 0→1 product through scaling to millions of learners with high quality standards.
  • •Establish engineering best practices including design reviews, code quality, testing, and performance for high-scale interactive systems.
  • •Collaborate closely across R&D, Learning & Enablement, Marketing, and Field Engineering to match how learners reach and adopt Databricks.
  • •Grow and lead a team of ~12 engineers (planned to roughly double) to build the learning platform and its AI-driven experiences.

Pay and Benefits

Salary: USD 222,000 - 300,000 annually

Key Requirements

  • •15+ years of software engineering experience with strong technical leadership and impact.
  • •5+ years of engineering management experience, including 2+ years managing other managers (or clear readiness).
  • •Staff engineer caliber IC background before pivoting to management, with full-stack experience (including back-end).
  • •Proven experience scaling engineering teams from 10 to 30+ engineers.
  • •Experience designing scalable, distributed, customer-facing systems in a SaaS environment, with a track record building and scaling consumer-facing products.
Experience:15+ yearsSaaSProduct-led growthConsumer-facing productsDistributed systemsData + AI
Skills:Technical leadershipRoadmap executionEngineering excellenceCross-functional collaborationStrategy alignment
Languages:English

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn