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Staff Product Manager Full-time

at Databricks in California (Published at 30-06-2020)


Enterprise companies need to harness their data to remain competitive and innovate. The true potential of the data can only be realized if it is made available and easily accessible to data scientists and engineers but this often comes with a set of challenges. Challenges with securing the data and ensuring least privilege, preventing exfiltration and implementing the policies at enterprise scale.

The primary mission of this role is to ensure that the Databricks Unified Analytics Platform can be used across all use cases and data classifications in the enterprise at scale, globally. To accomplish this you will own the roadmap for product security and compliance at Databricks, collaborate with customers to spec and build out required security features and work with engineering teams to ensure they are built in a way that delights the customer.


  • Deliver security features for data protection
  • Formulate and execute product strategy for databricks
  • Reduce time of pre-sales security evaluation by 70%
  • Establish a security process to ensure new features are delivered with security built in


  • Experience delivering features on public cloud environments
  • Understanding of public cloud security constructs like IAM, encryption, network security
  • Experience with building features and products for enterprise customers
  • Understanding of compliance and regulatory best practices


  • Comprehensive health coverage including medical, dental, and vision
  • 401(k) Plan
  • Equity awards
  • Flexible time off
  • Paid parental leave
  • Family Planning
  • Gym reimbursement
  • Annual personal development fund
  • Employee Assistance Program (EAP)

About Databricks

Databricks is the data and AI company. Founded by the original creators of Apache Spark?, Delta Lake and MLflow, Databricks simplifies data and AI so data teams can collaborate and innovate faster. More than five thousand organizations worldwide ?including Shell, Conde Nast and Regeneron ? rely on Databricks as a unified platform for massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics. Venture-backed and headquartered in San Francisco (with offices around the globe) Databricks is on a mission to help data teams solve the world?s toughest problems.

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