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

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.

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.

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.

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.

• 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.