Senior Director, Engineering, Safeguards, Cloud AI

• Define and execute the technical strategy for the Cloud AI Safeguards engineering organization, ensuring alignment with broader Cloud AI products.
• Setting a vision in AI, products, and safety systems, while navigating changes to model capability, usage across many products, and determined adversaries. Innovation is a key need to stay on the frontier of safety.
• Maintain high standards for code quality, system reliability, and operational metrics in a fast-paced environment. Drive clarity via goals, roles, and responsibilities for your team and partner teams.
• Oversee the architecture and deployment of secure, resilient, and multi-tenant cloud systems designed to sustain demanding AI workloads.
• Recruit, retain, and develop a team of engineering leaders and technical contributors, establishing clear pathways for career growth and accountability. Set a culture of continuous improvement via feedback and self reflection within your team. 

Minimum qualifications:

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 20 years of professional experience in engineering leadership or related technical roles.
• 10 years of experience in AI and machine learning, with a focus on developing and deploying AI-powered Safety systems.
• Experience managing an engineering organization across multiple geographies and product portfolios.

Preferred qualifications:

• Master's degree in Computer Science or related field.
• Experience building teams with excellent culture and developing leaders who have independently delivered impact.
• Strong understanding of complex products, build threat models, and building system level safety.
• Demonstrated ability to make risk based trade-offs.
• Proven track record of successfully building defenses for complex platforms.

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 20 years of professional experience in engineering leadership or related technical roles.
• 10 years of experience in AI and machine learning, with a focus on developing and deploying AI-powered Safety systems.
• Experience managing an engineering organization across multiple geographies and product portfolios.