Product Manager, Security

Overview

At Databricks, we are passionate about helping data teams solve the world's toughest problems — from enabling advanced transportation to accelerating medical breakthroughs. We build and run a data and AI infrastructure platform that helps customers use deep data insights to improve their business, while simplifying complex data management projects and protecting data with the highest security standards. In this role, you will lead all aspects of data security for the Databricks Lakehouse platform and drive the product strategy to deliver controls that help customers meet privacy, confidentiality, digital sovereignty, and other regulatory obligations.

You will create policy models that enable customers to control access to their assets, helping IT and security administrators feel confident with increased Databricks usage. You will report to a Senior Director of Product Management.

The Impact You Will Have

• Make security a market differentiator that enables Databricks to succeed in enterprise and regulated industries.
• Help Databricks gain the trust of CSO teams of security-sensitive customers and qualify the Lakehouse platform for all data classes in the customer organization.
• Build a vision for a best-in-class network and data security policy model that provides secure access to customer workloads and data while minimizing exposure to unauthorized access and risk of data loss.
• Partner with privacy, legal, and security teams to deliver anonymization, retention, and residency for regulated data and sensitive assets such as AI models.
• Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to propose new innovations or best practices from the industry.
• Partner with cloud providers and support confidential compute.
• Rationalize and refine the differences in customer experience and data security technologies across multiple clouds including Azure, AWS and Google Cloud.

What We Look For

• 7+ years of product management experience with enterprise B2B or SaaS products, with experience delivering successful customer-facing products/features.
• Domain expertise in data security, data privacy, and encryption.
• An accomplished senior product manager who can define and deliver on success metrics, summarize customer inputs into actionable requirements, and crisply communicate product value propositions to customers and sales teams.
• Experience partnering with senior engineering leadership with an ability to deep-dive into complex technical concepts.
• Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success.
• Passion for designing products that simplify user experience of technically complex products.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$129,000—$228,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.

To learn more, follow Databricks on Twitter, Linked In and Facebook.

Benefits

At…