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

Google
San Bruno, USA
Manager · 8+ years experience
Onsite
USD 192000-278000 / year
Discovered 1 weeks ago

Full Job Posting

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.

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.

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