Sr. Manager, Security - Detection Engineering San Francisco, California

The Detection & Response team's mission is to protect Databricks products, cloud infrastructure, endpoints and employees from security threats and modern attacks. We are a team of expert engineers combining log analysis expertise, cybersecurity skills and software development to build a mature and durable detection platform. We embrace the “Detection-as-Code” model by doing “Security for Databricks on Databricks,” using our own platform to build alerts and detections.Databricks is looking for a Senior Manager leading the Detection Engineering team to build durable and high-fidelity detections against common attacks and across a variety of different log sources and domains, including endpoint, networking, cloud and identity data. The job requires expertise in building robust engineering solutions and pipelines to perform data ingestion, curation and correlation, fully embracing Detection-as-Code principles and models.As leader of the Detection team, you’ll be responsible for managing and expanding the team; setting a clear vision, priority and strategy; advocating for resources while managing budget and costs; and establishing productive relationships and solid partnerships across the company with leaders in other organizations such as Engineering, Legal, and IT.The impact you will have:Hire great Security Software Engineers to build an outstanding team.Support Security Software Engineers in their career development by providing clear feedback and developing security leaders.Solve Detection Engineering challenges starting with the ingestion of large volumes of data across multiple clouds and complex systems and ending with precise detectors running in production.Innovate, study, and research the evolution of the threat landscape and the most recent adversarial techniques to strategize the most effective detection engineering plan, partnering with Product Security and Redteam teams.Coordinate execution and collaborate across teams to unblock cross-cutting projects.What we look for:2-4 years of prior management experience of Engineering or Security teams.Typically 12+ years of experience or an advanced degree + 8 years of experience (preferably focused on detection, incident response, and/or threat intelligence).Focused on defining and driving efficiencies and improvements within their team.Make effective priority decisions on resourcing and alignment within their team.Accountable for defining and achieving targets (e.g., OKRs, KPIs) of the team.Sufficient domain expertise to review the work of their team.Previous experience in building complex Detection Engineering on large data platforms with attention to accuracy, quality and cost tradeoffs (experience with Databricks is preferred).Solid understanding of cybersecurity fundamentals with technical expertise on common threats and attacks observed on endpoints, cloud, network, and identity.Knowledge of Machine Learning methods applied to solve Detection Engineering problems.Benefits:Medical, Dental, and Vision.401(k) Plan.FSA, HSA and Commuter Benefit Plans.Equity Awards.Flexible Time Off.Family Planning.Fitness Reimbursement.Employee Assistance Program (EAP).Business Travel Accident Insurance.Mental Wellness Resources.Pay Range Transparency:Zone 1 Pay Range: $182,900 — $323,500 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, LinkedIn, and Facebook.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 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 alone.

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