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Databricks

Builds cloud software for data analysis and AI

Staff Product Manager - Security

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 7 years of product management experience with enterprise business-to-business or software-as-a-service products, including experience delivering successful customer-facing products or features.
  • Domain expertise in data security, data privacy, and encryption.
  • Ability to define and deliver success metrics, translate customer input into actionable requirements, and communicate product value propositions to customers and sales teams.
  • Experience partnering with senior engineering leadership and deep-diving into complex technical concepts.
  • Experience driving business results through influential leadership across engineering, sales, marketing, solution architecture, and customer success partner teams.
  • Ability to design products that simplify the user experience of technically complex products.

Responsibilities

  • Lead all aspects of data security for the Databricks Lakehouse platform.
  • Drive product strategy to identify, prioritize, and deliver external and internal controls that help customers meet privacy, confidentiality, digital sovereignty, and other regulatory obligations.
  • Create simple policy models that enable customers to control access to important assets.
  • Make security a market differentiator for success in enterprise and regulated industries.
  • Help build trust with security-sensitive customer security teams and qualify the Lakehouse platform for all data classes within customer organizations.
  • Build a vision for a network and data security policy model that provides secure access to customer workloads and data while minimizing unauthorized access and data-loss risk.
  • Partner with privacy, legal, and security teams to deliver anonymization, retention, and residency capabilities for regulated data and sensitive assets such as AI models.
  • Deepen understanding of evolving threats and data security technologies; use customer input to recommend innovations and industry best practices.
  • Partner with cloud providers and support confidential computing.
  • Rationalize and refine customer experience and data security technologies across Azure, AWS, and Google Cloud.

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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