Senior Staff Technical Program Manager for Safety and Privacy, GeminiApp, DeepMind

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

Minimum qualifications:

• Bachelor's degree in a technical field or equivalent practical experience.
• 10 years of experience in technical program or project management.
• 7 years of experience in leadership roles with/without direct reports.

Preferred qualifications:

• Experience in evaluating or fine-tuning LLMs for specific product use cases.
• Track record in trust and safety, privacy, data governance, or cybersecurity within a high-scale consumer tech or enterprise SaaS environment.
• Deep understanding of modern data privacy frameworks (GDPR, CCPA) and complex data architecture.
• Understanding of Large Language Models (LLMs), Natural Language Processing (NLP), conversational AI principles, and model evaluation techniques.
• Strong ability to translate complex legal and ethical requirements into clear engineering specifications.

About the job

Our team, GeminiApp, is on a mission to build a universal AI assistant that will empower billions of people. We are creating a personal, proactive, and powerful life assistant that will be used multiple times a day to increase productivity and creativity by 10 to 100-fold. Our work is shaping how humanity interacts with AI at scale. As a high-velocity, startup mindset organization, we are constantly shipping and iterating.

As the Senior Staff Technical Program Manager for Safety and Privacy, you will lead the cross-functional execution, alignment, and approach required for a product that is deeply trustworthy, compliant, and secure. This role requires a unique blend of deep technical understanding, regulatory awareness, and empathetic leadership. You will drive the effort to co-design safety mitigations directly with modeling teams, ensuring all features are responsible-by-design from the base model harness to the final App UI, while synthesizing safety, privacy, and security into a unified, multi-modal monitoring flywheel.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google 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 offer diverse 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.

Responsibilities

• Lead the execution of a high-velocity virtual team to co-design safety mitigations directly with modeling teams, ensuring all features are responsible-by-design from the base model harness to the final App UI.
• Translate ambiguous, open-ended business priorities into structured and executable programs. Proactively identify and mitigate risks, implementing solutions to keep projects on velocity.
• Mechanize critical parts of the business to generate predictable outputs. Guide critical programs, driving progress from conception to delivery.
• Forge close partnerships with Product Manager, Engineering, Legal, Safety, Privacy, and other cross-functional leads on approach. Navigate and resolve complex dependencies across workstreams, functions, and organizations.
• Deliver clear, consistent updates on progress, risks, and plans to executive leadership. Guide cross-functional teams in identifying, prioritizing, and tracking tasks to meet key deadlines. Excel at managing multiple, time-sensitive projects concurrently.