Databricks is looking to proactively identify, challenge, and mitigate security, safety, and ethical risks associated with AI systems, models, and deployments by establishing and leading an AI Red Team.
Requirements
- 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.
- Advanced knowledge in at least two of the following areas: Adversarial Machine Learning, Data Integrity & Privacy in Agentic systems, Classic Red Teaming.
Responsibilities
- managing adversarial testing, threat modeling, and risk assessment of AI features and products.
- attack simulations, red teaming exercises, ethical risk evaluations, exploit chain development, and post-deployment vulnerability analysis.
- support AI incident response and coordinate defensive improvements in response to new threats.
- 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.
- 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.
Other
- You will be the leader for Databricks’ AI Red Team
- 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.
- Mentor and develop AI Red Team engineers, offering clear feedback, career guidance, and opportunities for growth.
- Unblock and coordinate cross-functional initiatives in responsible and secure AI, collaborating across teams for maximum impact.
- 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).
- Strong cross-team collaborative skills; works effectively with Engineering, IT, Product Management, Sales, and Customer Success teams.
