Job Description

Minimum qualifications:

• Bachelor's degree in a technical field or equivalent practical experience.
• 5 years of experience in technical program management.

Preferred qualifications:

• Ability to self-start and self-direct work in an unstructured environment.
• Ability to influence and engage with cross-functional teams and senior stakeholders, driving alignment and achieving results.
• Comfortable dealing with ambiguity and a desire to attack large, complex problems.

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Artificial intelligence will be one 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.
The US base salary range for this full-time position is $256,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at GoogleWe 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.
The US base salary range for this full-time position is $256,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google

Responsibilities

• Scope, plan, and deliver complex technical programs that bridge core AI research with product integration, driving teams towards successful launches on timelines.
• Lead collaborations across DeepMind and partner product areas (Search, Workspace, Gemini app, etc.) to develop and integrate new agentic features and underlying APIs.
• Identify and manage complex cross-functional dependencies, compute constraints, and launch risks, implementing timely solutions.
• Evaluate API designs, model routing, and agentic workflows, helping to unblock technical bottlenecks in dynamic environments.
• Pivot across different mission-critical domains (e.g., complex information retrieval tasks, personalization, or agentic tool-use infrastructure) as organizational priorities evolve.