Startups · AI

Senior Director, Engineering, Safeguards, Cloud AI

Google · United States · On-site

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About Google

Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.

About the role

As the Senior Director of Cloud AI Safeguards Engineering you will lead the strategic direction, design, development, and operational execution of Safeguards for Cloud AI product portfolio. This role requires a technical leader who bridges complex AI engineering, state of the art Safeguards systems with disciplined business execution. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 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
More about this role
  • 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.
  • 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...

Read the full posting on Google's site ↗

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