Privacy Engineering Lead, Generative AI Privacy & Security

DeepMind•San Francisco, CA

About The Position

Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. GDM’s mission is to “build AI responsibly to benefit humanity.” Within GDM, the Gemini team is dedicated to developing the world's most advanced and useful generative AI models. The GDM Privacy & Technical Compliance team plays a crucial role in ensuring these models, systems and underlying infrastructure are developed and deployed with the highest standards of privacy. Role Description We are seeking a highly experienced and innovative Privacy Engineering Leader to join the GDM Privacy & Technical Compliance team. This role will focus on designing and implementing cutting-edge approaches to privacy, specifically within the rapidly evolving landscape of Generative AI. Reporting to the Engineering Leader for the Privacy & Technical Compliance team, this individual will be a key driver in shaping the future of privacy-preserving AI experiences. This role will have a deep and broad impact on privacy matters both within Google DeepMind and across Google, requiring a leader with a deft hand in navigating intricate cross organizational and cross functional demands.

Requirements

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.

Nice To Haves

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

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.