Senior Manager, Product Security

Lead a team dedicated to embedding security into Databricks’ core platforms — including compute, identity, data plane, control plane, Kubernetes infrastructure, and developer frameworks. Shape company-wide security architecture by driving “secure-by-default” platforms, opinionated frameworks, and systemic guardrails. Partner closely with engineering teams to make the secure path the easiest path. Eliminate entire classes of security risk through scalable design, not manual reviews or ticket triage. Set technical direction and empower engineers to build secure systems at massive scale. The Impact You Will Have Build secure platforms: Integrate security into infrastructure and platform systems from the ground up. Create reusable security frameworks: Develop secure reference architectures and automated guardrails that simplify adoption. Reduce systemic risks: Identify patterns of architectural weaknesses and drive durable, root‑cause fixes across product areas. Influence roadmaps: Work with engineering and Red Teams to validate assumptions, improve controls, and strengthen design decisions. Scale security leadership: Grow and mentor senior security engineers, ensuring engagement happens early and proactively. Drive meaningful outcomes: Within 12 months, your team will enable security frameworks to be adopted by default, eliminate recurring vulnerability classes, and permanently reduce at least one major systemic risk. What We Look For Deep technical background in distributed systems, cloud, or platform security. Strong grasp of identity, authorization, isolation, and cryptographic trust boundaries. Comfortable influencing principal engineers and product roadmaps. Demonstrated success leading technically senior engineers with high autonomy. A mindset that focuses on failure chains, not just individual vulnerabilities. Passion for building security solutions that are scalable, elegant, and frictionless for developers. 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, LinkedIn, and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. Compliance If access to export‑controlled technology or source code is required for the performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis. #J-18808-Ljbffr Databricks Inc.