Director of Product Management

Director of Product Management, Generative AI Privacy & Security 

Mountain View or San Francisco, CA

Snapshot

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 & Security team plays a crucial role in ensuring these models are developed and deployed with the highest standards of privacy and security.

Role Description

We are seeking a highly experienced and innovative Product Manager to join the GDM Privacy & Security team. This role will focus on designing and implementing cutting-edge approaches to privacy and security specifically within the rapidly evolving landscape of Generative AI. Reporting to the Product Leader for the Generative AI unit, this individual will be a key driver in shaping the future of secure and privacy-preserving AI experiences. This role uniquely spans both privacy and security product management, requiring a deep understanding of both domains. 

Key Responsibilities

• Drive the development of product requirements for privacy and security technologies, incorporating input from GDM, Google product teams, and emerging industry best practices. 
• Plan, prioritize, and drive the development of cutting-edge privacy-preserving technologies to address emergent privacy and security challenges in the Generative AI era. Contextual Integrity research, private synthetic data for enhanced training, differential privacy, homomorphic encryption, and robust security protocols for agentic systems.
• Contribute to building and managing an actionable research and product roadmap for GDM Privacy & Security, coordinating timelines, goals, and objectives.
• Work closely with product managers building emergent product features, collaborating with trusted tester groups to prototype and validate future privacy and security experiences. This includes gathering user feedback, iterating on designs, and identifying key learnings to inform product strategy. This also includes potentially working with product integration teams.
• Translate learnings from prototyping efforts into actionable recommendations for central Google teams, influencing the development of new standards and policies for AI privacy and security 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 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 & Security roadmaps.

Minimum Qualifications

• At least 10 years of product management experience, including driving engagement and adoption of new products, creating, executing, and delivering product strategies, product requirements documents (PRDs), and roadmaps.
• At least 5 years of experience taking technical products from conception to launch.
• Demonstrated knowledge and deep interest in the privacy and security domains, including familiarity with relevant technologies, regulations, and best practices.
• Proven experience with stakeholder engagement and alignment at the VP level.

Preferred Qualifications

• Experience working with complex policy and legal issues related to product launches, particularly in the context of AI.
• Experience partnering effectively with cross-functional teams, including product, engineering, research science, legal, and policy teams.
• Strong working knowledge of ML/AI principles and technologies, with a focus on generative models.
• Experience working with user research methodologies and incorporating user feedback into product development.
• Experience contributing to or influencing industry standards or policy development related to privacy or security.
• Experience with on-device or edge computing, particularly in the context of privacy and security.

The US base salary range for this full-time position is between $253,000 - $379,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 12pm PST Friday 31 January 2025 

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.