Group Product Manager, Gemini App Privacy and AI Data Governance, DeepMind

MINIMUM QUALIFICATIONS

• Bachelor's degree in a technical field, Computer Science, Human-Computer

Interaction, Psychology, or equivalent practical experience.

• 12 years of experience in product management or a related role, leading

consumer or platform products or data protection initiatives.

• 6 years of experience in privacy, data governance, or data protection.
• Experience building data governance or regulatory compliance products in a

consumer-facing context.

PREFERRED QUALIFICATIONS

• Master's degree or PhD in a technology, computer science, law/policy, or a

business-related field.

• Expertise in AI-specific privacy and data governance, including training and

• post-training (RLHF) data lineage, user consent and controls, PII
• anonymization/redaction, differential privacy, and global privacy regulatory
• compliance frameworks.

• Proven track record of translating complex, ambiguous global regulatory

• frameworks (e.g., GDPR, EU AI Act, CCPA/CPRA, DMA, and global data
• sovereignty mandates) into scalable, automated product architectures and
• intuitive user controls.

ABOUT THE JOB

• As the Gemini App continues to evolve into a deeply personal, multimodal, and
• agentic AI assistant for billions of people worldwide, protecting user privacy
• and governing how data flows across consumer experiences and frontier model
• training is a critical priority. As the Principal Product Manager for Gemini App
• Privacy and AI Data Governance, you will own the overarching direction, product
• strategy, and road map for the features, user controls, and underlying data
• governance platforms that protect Gemini App users' data and keep Gemini
• compliant with rapidly evolving global privacy and AI regulations.

• In this role, you will operate at the nexus of consumer trust, frontier AI
• research, and global regulatory strategy. You will lead end-to-end product
• experiences, including transparent user data controls, privacy settings, and
• training data opt-outs, while architecting the back-end AI data governance
• pipelines that enforce those promises across the AI product lifecycle.
• Partnering directly with Privacy and Data Governance Engineering teams, Legal,
• Regulatory Affairs and partner Product teams, your work will set the standard
• for privacy-preserving consumer AI.

• Artificial intelligence will be one of humanity’s most transformative
• inventions. At DeepMind, we are a pioneering AI lab with exceptional
• interdisciplinary teams focused on advancing AI development to solve complex
• global challenges and accelerate high-quality product innovation for billions of
• users. We use our technologies for widespread public benefit and scientific
• discovery, ensuring safety and ethics are always our highest priority.

• We are pushing the boundaries across multiple domains. Our global teams offers
• learning opportunities and varied career pathways for those driven to achieve
• exceptional results through collective effort.
• Individual pay is determined by factors including job-related skills,
• experience, and relevant education or training.

US: $300000 - $333000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES

• Define and drive the strategic roadmap for user-facing privacy controls and

AI data governance infrastructure across the Gemini App ecosystem.

• Design and ship consumer privacy features, including granular controls over

• conversation history, connected app permissions, data deletion lifecycles,
• and clear transparency into user data usage.

• Partner with engineering and data platform teams to build scalable consent

• enforcement, PII scrubbing, and access-control systems that ensure data
• handling honors user settings and applicable law.

• Partner with Legal, Policy, and Engineering leadership to navigate global

• regulatory ambiguity (including GDPR, the EU AI Act, and state/international
• laws), translating legal obligations into automated compliance platforms that
• mitigate risk while preserving product velocity.

• Serve as primary product manager on Gemini App privacy for DeepMind and

• Google executive leadership, aligning teams across Core Privacy, Security,
• and Trust & Safety.