Staff Product Manager, Security

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leads
160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
About Databricks

Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead all aspects of data security for the Databricks Lakehouse platform. You will drive product strategy for the controls customers need to meet privacy, confidentiality, digital sovereignty and regulatory obligations, and create simple policy models for access control. You will partner with privacy, legal, security teams and cloud providers, and report to a Senior Director of Product Management.

Requirements

  • 7+ years of product management experience with enterprise B2B or SaaS products
  • Domain expertise in data security, data privacy and encryption
  • Ability to define success metrics, summarize customer inputs into requirements and communicate value propositions
  • Experience partnering with senior engineering leadership
  • Experience driving results through influential leadership across multiple partner teams
  • Passion for designing products that simplify user experience

Responsibilities

  • Make security a market differentiator for enterprise and regulated industries
  • Build trust with CSO teams of security-sensitive customers
  • Build a vision for a network and data security policy model
  • Partner with privacy, legal and security teams to deliver anonymization, retention and residency for regulated data
  • Track evolving threats and propose innovations and best practices in data security
  • Partner with cloud providers and support confidential compute
  • Rationalize customer experience and data security technologies across Azure, AWS and Google Cloud

Benefits

  • Annual performance bonus eligibility
  • Equity