Technical Program Manager, Cross-Product Execution and Model Feedback Operations, DeepMind

info_outline X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Bruno, CA, USA; San Francisco, CA, USA. Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.
• Experience in technical program management, cross-functional collaboration, and software development.
• Experience working with Artificial Intelligence or Machine Learning technologies.

Preferred qualifications:

• 8 years of experience managing cross-functional or cross-team projects.
• Experience with modern LLMs, multimodal models, and agentic systems.
• Experience with model training, evaluation design, and inference economics (latency, cost, and compute capacity).
• Experience building scalable operating models and repeatable processes across organizational boundaries.
• Experience with AI platforms, data acquisition, and Software Development Life Cycle (SDLC) management.

About the job To turn Google's product scale into a lasting advantage, DeepMind requires a strong, two-way bridge between our frontier AI research and Google's global product ecosystems. As a Technical Program Manager for Cross-Product Engagements, you will build and scale the operating model connecting DeepMind's research teams with Google's major product divisions. Stepping above day-to-day launch execution, you will focus on the broader strategic ecosystem helping product teams adopt frontier models and shared AI capabilities faster, while channeling real-world product insights and evaluation signals back into research. By connecting model advancements with long-term product roadmaps, you will ensure DeepMind and our product partners maintain a shared technical goal and seamless alignment across major company priorities. US: $192000 - $278000 (USD) 20% bonus target equity benefits Learn more about benefits at Google . Responsibilities

• Partner with executive leadership across DeepMind and Google's product divisions to align frontier research roadmaps, product strategy, and shared multi-year goals.
• Define clear rules of engagement and manage a prioritized portfolio of cross-product AI initiatives, leading executive review forums focused on strategic prioritization, resourcing trade-offs, and cross-organizational alignment.
• Partner with product and research teams to connect real-world product insights with core research, establishing scalable frameworks for outcome-based evaluations and structured product feedback that inform future model development.
• Accelerate how Google's products adopt new frontier models by driving structured model lifecycle planning and shared AI foundations across multiple surfaces.
• Synthesize model performance, infrastructure constraints, and roadmap dependencies across research and product teams to resolve cross-cutting bottlenecks and frame clear trade-offs for executive leadership.