Sr. Manager, Developer Relations - Databricks

RDQ427R539

At Databricks, we are passionate about enabling data teams to solve the worlds most challenging problems — from making the next mode of transportation a reality to accelerating medical breakthroughs

We do this by building and running the worlds best data and AI platform, enabling our customers to use deep data insights to improve their businesses Our ability to execute this mission depends on building trust and recognition within an ever-growing community of data engineers, analysts, scientists, machine learning practitioners, and AI practitioners.

Databricks’ Developer Relations team is looking for a leader to manage our Developer Advocates, shape how we bring the Data + AI Platform to life, and lead technical content and experiences that drive product adoption

This role is ideal for someone who thrives in the spotlight, brings deep Databricks expertise, and gets even more satisfaction from helping other advocates grow into it.

As the Developer Advocate Manager for Databricks, youll lead the team that advocates for our commercial platform and serve as a crucial link between our engineering teams and the broad community of data professionals building their careers on Databricks

Your teams remit spans the full arc of what practitioners actually do on the platform: ingesting and moving data with Lakeflow, building and governing pipelines and tables with Unity Catalog and Delta Lake, warehousing and analytics with Databricks Lakehouse and AI/BI, and building agents and AI applications with Genie Agent, Genie Code, Lakebase, and Databricks Apps

Youll be as comfortable talking to a data engineer debugging a pipeline as to an analyst building their first AI/BI dashboard and Genie One.

This role will leverage your expertise in building and scaling a developer relations team to educate, inspire, and support a rapidly growing user base Youll translate product roadmaps into developer-ready content and community programs, and coach your team on building a content flywheel — where a single demo, video, or talk becomes the source of truth for a dozen derivative assets rather than a one-off deliverable

Youll also help the team apply AI thoughtfully as a force multiplier across their workflows, raising output without ever lowering the technical bar.

Your responsibilities

will encompass both team leadership and a wide range of knowledge-sharing activities. Youll lead by example: delivering engaging talks, hosting panels and meetups, creating blogs and video content, developing courseware, answering questions in community forums, and meeting one-on-one with influential data engineers, analysts, and scientists.

Community engagement will be at the heart of your role. Youll work closely with the Databricks community and with product and engineering teams, ensuring that user needs and product development align seamlessly. Report