Technical Program Manager, Agents Innovation, DeepMind

Minimum qualifications:

Bachelor's degree in a technical field or equivalent practical experience.

8 years of technical program management experience, managing cross-functional or cross-team projects.

Experience with the AI model development lifecycle, including pre-training, post-training, and infrastructure constraints, in agentic development.

Preferred qualifications:

Excellent leadership, communication, and collaboration skills.

Excellent thought leadership, and relationship building and management skills, with internal stakeholders and external partners.

About the job

As a Technical Program Manager for Agents Innovation at Google DeepMind, you will bring the execution excellence to de-risk research bets and bring the latest Incubations to our users. You will drive the technical execution of programs that turn breakthrough agentic capabilities into production-ready models that power Gemini and Google products.

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: $256000 - $279000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Lead complex engineering and research workstreams focused on core agentic capabilities development.

Drive development and convergence of outlook, planning, prioritization, and execution to deliver capabilities.

Manage the lifecycle of agentic innovations from early research bets to incubation and upstreaming into the Gemini models.

Build resilient pathways between DeepMind technical experts and partner product teams, ensuring a "multi-way win" where a single agentic advancement to unlock value across multiple Google surfaces.