Sr. Manager, Security Software Engineering

RDQ326R396 Senior Manager, Security Software Engineering -AI Red Team AI Red Team Mission: The AI Red Team at Databricks is dedicated to proactively identifying, challenging, and mitigating security, safety, and ethical risks associated with AI systems, models, and deployments. Our mission is to left-shift adversarial, attack simulation, and responsible AI practices across the entire Databricks AI lifecycle, ensuring robust and trustworthy AI for our customers and the broader ecosystem. You will be the leader for Databricks’ AI Red Team, managing adversarial testing, threat modeling, and risk assessment of AI features and products. Your scope will include, but is not limited to, attack simulations, red teaming exercises, ethical risk evaluations, exploit chain development, and post-deployment vulnerability analysis. You will also support AI incident response and coordinate defensive improvements in response to new threats. You will work with a distributed team spanning the US, and EU regions, with direct reports primarily in the EU and extensive collaboration across global counterparts as Databricks’ AI Red Team scales. The impact you will have: Lead a world-class AI Red Team, hiring expert AI security professionals and fostering team excellence. Technical mentorship to the AI security team for automations, recent exploits against AI systems, classic exploit chain and red teaming, and building Threat Models for AI use case as well as model supply chain. Mentor and develop AI Red Team engineers, offering clear feedback, career guidance, and opportunities for growth. Establish and drive high technical standards through mature adversarial testing, attack simulation frameworks, automation, and security-focused engineering excellence. Partner with engineering, product, and research leadership to ensure AI system development decisions are informed by robust adversarial and risk perspectives. Unblock and coordinate cross-functional initiatives in responsible and secure AI, collaborating across teams for maximum impact. What we look for: Deep expertise in AI/ML system threat modeling, adversarial testing, and attack simulation, with strong understanding of foundational security and responsible AI concepts. Deep expertise in traditional security and hands on exploit chain development for classic vulnerability classes. Proven ability to define and drive process improvements, efficiency gains, and skill development across diverse technical teams and legal/field. Ability to drive impact through clear priority setting, resource alignment, and goal definition (OKRs, KPIs). Advanced knowledge in at least two of the following areas: Adversarial Machine Learning, Data Integrity & Privacy in Agentic systems, Classic Red Teaming. Strong cross-team collaborative skills; works effectively with Engineering, IT, Product Management, Sales, and Customer Success teams. Typically 10+ years of experience (or advanced degree + 6 years) in security, AI/ML, or technical safety domains. 3-4 years prior management experience in technical team leadership. BS or higher in Computer Science, Artificial Intelligence, Deep Learning, or a related field. 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 onTwitter,LinkedInandFacebook.BenefitsAt 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 visithttps://www.mybenefitsnow.com/databricks. 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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