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Databricks

Builds cloud software for data analysis and AI

Developer Advocate Manager - Open Source

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 8 years of combined experience in developer relations or developer advocacy and in a hands-on technical role such as software engineering, data engineering, or solutions architecture.
  • At least 2 years of experience managing and growing a developer relations team, including hiring, leveling, and promoting advocates.
  • Experience personally writing technical posts, building demos, giving talks, filing issues, and participating in forums.
  • A substantial, verifiable open source track record, including sustained contribution and experience with project governance, release processes, and community norms.
  • Established relationships within the Apache Software Foundation and Linux Foundation ecosystems, and an understanding of how to engage with them.
  • Deep knowledge of the Open Lakehouse stack, including Apache Spark, Delta Lake, Unity Catalog, Apache Iceberg, and MLflow, plus a working understanding of the agentic open source landscape, including Omnigent.
  • Subject matter knowledge of solving data engineering, data science, or data analytics problems at scale.
  • Active participation and recognized leadership in open source community forums, chats, and meetups.
  • A track record of nurturing developer communities, organizing user groups, and facilitating global meetups.
  • Ability to articulate complex concepts through writing, teaching, video, and public speaking.
  • Experience using AI to scale a team's output while maintaining technical depth.
  • Experience collaborating with cross-functional stakeholders to align community initiatives with product objectives.

Responsibilities

  • Own developer relations for the open source portfolio end-to-end, set the strategy, define success, and be accountable for outcomes.
  • Hire, level, and grow a team of Developer Advocates, set clear expectations, provide feedback, and own their career development.
  • Strengthen Databricks' standing as a trusted, vendor-neutral participant in Apache and Linux Foundation ecosystems, with success measured by benefits to the projects as well as to Databricks.
  • Establish repeatable advocacy approaches, including content flywheels, contribution guides, and event playbooks, that can be adopted by the wider Developer Relations team.
  • Grow external, non-Databricks adoption and contributions across open source projects, and help develop future maintainers.
  • Drive awareness and adoption of the Open Lakehouse and Omnigent through speaking at industry events and conferences and securing appropriate speaking opportunities for the team.
  • Guide creation of technical educational content, including videos, sample notebooks, datasets, tutorials, courseware, and blog posts.
  • Expand and nurture communities by growing meetups and user groups and supporting practitioners in online communities, mailing lists, and issue trackers.
  • Represent the community within R&D and turn contributor friction into documented, prioritized roadmap changes.
  • Apply AI-assisted workflows to increase the team's leverage while maintaining technical depth and originality.
  • Define and defend meaningful success metrics for the open source Developer Relations team and explain them to executives.
  • Deliver 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 align community needs with product development.
  • Collaborate with Developer Relations managers across Databricks, App Dev, and Developer Relations Programs to create a cohesive open source strategy.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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