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Manager, Developer Relations - Open SourceDatabricks · Seattle, Washington
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Databricks

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Manager, Developer Relations - Open Source

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🗓️ Posted 2026-08-18 Seattle, Washington Hybrid ICT
💰 Salary Not shared 📊 Market ₹14,000–₹22,000/mo

About the Company

Databricks is a leader in data and AI, building the world's best data and AI platform that empowers customers to solve complex problems through deep data insights. The company focuses on open source projects such as Apache Spark, Delta Lake, Unity Catalog, Apache Iceberg, and MLflow, and fosters a community of data engineers, analysts, scientists, and AI practitioners. Its culture emphasizes trust, recognition, and collaboration across a growing global community.

Role & Responsibilities

  • ● Lead the team that advocates for Databricks' open source projects, serving as a key link between engineering teams and the global community of practitioners building careers on those projects.
  • ● Coach the team on building a content flywheel where a single demo, video, or talk becomes the source of truth for numerous derivative assets.
  • ● Apply artificial intelligence as a force multiplier without lowering the technical bar.
  • ● Deliver engaging talks, host panels and meetups, create blogs and video content, develop courseware, answer questions in community forums, and meet one on one with influential contributors and maintainers.
  • ● Work closely with open source communities and product and engineering teams to ensure that community needs and product development align seamlessly.
  • ● Collaborate with fellow Developer Relations managers across Databricks, App Development, and DevRel Programs to create a cohesive and impactful open source strategy.

Requirements

  • ● Proven experience building and scaling a developer relations or community team.
  • ● Strong standing within open source communities, with active relationships to the Apache Software Foundation, Linux Foundation, and project maintainers or committers.
  • ● Demonstrated commitment to open source, including projects that do not directly benefit Databricks.
  • ● Deep passion for data and AI.
  • ● Genuine empathy for developers' needs.
  • ● Experience or familiarity with the Open Lakehouse stack, including Apache Spark, Delta Lake, Unity Catalog, Apache Iceberg, MLflow, and Omnigent.