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Sr. Manager, Security Software Engineering
Databricks
United StatesOn Site
Original Job Summary
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. Their mission is to left-shift adversarial, attack simulation, and responsible AI practices across the entire Databricks AI lifecycle, ensuring robust and trustworthy AI for customers and the broader ecosystem.
Role Overview:
You will lead Databricks’ AI Red Team, managing adversarial testing, threat modeling, risk assessments, and defensive improvements. Responsibilities include attack simulations, red teaming exercises, ethical risk evaluations, exploit chain development, post-deployment vulnerability analysis, and AI incident response coordination.
Key Responsibilities:
- Lead and mentor a world-class AI security engineering team.
- Oversee adversarial testing, attack simulations and red team exercises.
- Drive improvements in security practices and risk management.
- Collaborate with engineering, product, and research for informed decisions.
- Manage a distributed team across US and EU regions.
What We Look For:
- Deep expertise in AI/ML threat modeling and adversarial testing.
- Proven background in traditional security and exploit chain development.
- Experience in process improvements and technical team leadership.
- Advanced knowledge in adversarial machine learning and data integrity.
- 10+ years of experience in security, AI/ML, or technical safety domains.
- 3-4 years of management experience in technical teams.
- BS or higher in Computer Science, AI, Deep Learning, or related field.
Key Skills/Competency:
- Adversarial Testing
- Threat Modeling
- Risk Assessment
- Exploit Development
- Security Engineering
- Red Teaming
- AI/ML Security
- Team Leadership
- Ethical AI
- Incident Response
How to Get Hired at Databricks
🎯 Tips for Getting Hired
- Research Databricks' culture: Study their mission, values, and innovations.
- Customize your resume: Emphasize AI security and leadership experience.
- Highlight technical skills: Detail adversarial testing and risk assessment acumen.
- Prepare for interviews: Practice case studies on threat modeling.
📝 Interview Preparation Advice
Technical Preparation
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Review adversarial ML case studies.
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Practice threat modeling scenarios.
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Study exploit chain development techniques.
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Enhance skills in risk assessment tools.
Behavioral Questions
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Describe your leadership style.
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Explain conflict resolution experiences.
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Detail cross-team collaboration efforts.
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Discuss decision-making under pressure.