Google DeepMind · 5 hours ago
Privacy Engineering Lead, Generative AI Privacy & Security
Mountain View, CA
Full-time
Hybrid
Lead/Staff
$294K/yr - $414K/yr
10+ years expGoogle DeepMind is a team dedicated to advancing artificial intelligence for public benefit and scientific discovery. They are seeking a Privacy Engineering Lead to design and implement privacy strategies within the Generative AI landscape, ensuring compliance with privacy commitments and collaborating with various teams to influence AI privacy standards.
Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning
Responsibilities
Drive the strategy for ensuring strong and uniform adherence to our privacy commitments in the development of Google DeepMind’s AI models and systems, incorporating input from GDM Legal, Policy, and Google wide privacy working groups
Partner closely with Legal and Policy teams to interpret emerging global regulations and translate them into actionable technical standards and engineering principles for GDM
Lead high-stakes Privacy Design Reviews for emergent product features and model capabilities, acting as the technical authority on privacy preserving data handling, processing, minimization, and retention strategies
Translate learnings from internal privacy reviews into actionable recommendations for central Google teams, influencing the development of new standards and policies for AI privacy across the company. This includes actively participating in relevant cross-functional initiatives and contributing externally to thought leadership in the field
Work cross-functionally to steer the architectural alignment of GDM and Google product teams, ensuring that privacy controls are scalable, auditable, and technically sound
Contribute to and influence the development of cutting-edge privacy-preserving technologies to address emergent privacy and security challenges in the Agentic AI era
Contribute to building an actionable research and product roadmap for GDM Privacy, coordinating timelines, goals, and objectives
Translate learnings from prototyping efforts into actionable recommendations for central Google teams, influencing the development of new standards and policies for AI privacy across the company
Work cross-functionally to steer adoption of prototype solutions products and technologies by GDM and Google product teams
Effectively influence GDM and Google leadership on the strategic direction of AI Privacy roadmaps, quantifying privacy risk and advocating for necessary architectural investments at the VP level
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Law, or a related field, or equivalent practical experience
At least 10 years of progressive privacy engineering experience in large scale, complex product and engineering environments with a track record of impactful landings
At least 5 years of experience working with AI products
Significant experience working with complex policy and legal issues related to product launches, particularly in the context of AI
Track record of partnering with and influencing effectively cross-functional teams, including product, engineering, research science, legal, and policy teams
Demonstrated knowledge and deep interest in the privacy and regulatory domains, including familiarity with relevant technologies, standards, regulations and best practices
Proven experience with stakeholder engagement and alignment at the VP level
Preferred
Master's or PhD in Computer Science, Privacy Law, or related technical field, or equivalent practical experience
Experience working with complex policy and legal issues related to product launches, particularly in the context of Large Language Models (LLMs) or Generative AI
Experience partnering effectively with cross-functional teams, including research scientists, product counsel, and policy regulators
Strong working knowledge of AI/ML principles
Experience contributing to or influencing industry standards or policy development (e.g., NIST, ISO) related to privacy
Experience designing privacy architectures for on-device or edge computing environments
Benefits
Bonus
Equity
Benefits
Company
Google DeepMind
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2014-01-26Acquired
2011-02-01Series A
Leadership Team
Demis Hassabis
Co-Founder & CEO
Aaron Saunders
VP of Hardware Engineering, Robotics
Recent News
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