Technical Program Manager, Foundation Models, DeepMind

Minimum qualifications:

• Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
• 5 years of technical program or project management experience in a software engineering or cloud environment.
• Experience managing software product launches with engineering and product teams.
  
  

Preferred qualifications:

• Experience in technical program management in AI or data-centric projects.
• Experience in handling accountability, ownership for end-to-end project life-cycle
• Familiarity with AI infrastructure and compute resources, such as TPU resource management and utilization tracking.
• Knowledge of market trends, products, and solutions (including foundational technical understanding) of Cloud, AI, and Data solutions.
• Ability to work cross-functionally with multiple teams and stakeholders.
• Excellent relationship-building, collaboration, negotiation, communication, project management and analytical skills, demonstrated track track record in technical roles with product management and engineering.
  
  

About the jobA 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 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.

As a part of the GenAI Technical Program Manager team, you will be responsible for organizing and delivering priority programs, ensuring pace and focus towards Google DeepMind’s mission of solving intelligence to advance science and benefit humanity.

You will partner with many technical teams across Google DeepMind, collaborating with Gemini leads, research scientists, engineers, product managers, and other technical program managers to manage all aspects of GenAI programs.

You will be a critical contributor to the externalization of Gemini's State-of-the-art (SOTA) models with key partners. You will collaborate with Gemini leads, research scientists, engineers, and other Technical Program Managers to plan, track, and manage all aspects of this engagement. You will be responsible for ensuring that the engagement stays on schedule, managing critical compute resources, identifying and mitigating risks, and designing tools that facilitate timely decision-making. Your role will require a foundational AI knowledge, excellent organizational and communication skills, and the ability to work effectively in a fast-paced, ambiguous environment inherent to AI research. 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 global issues 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 various 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 $218,000-$237,000 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

• Plan and execute Gemini’s model development initiatives by collaborating with key partners, developing detailed project plans, supporting the creation of technical roadmaps in collaboration with engineering stakeholders, defining milestones, tracking progress, and managing dependencies.
• Anticipate and mitigate potential issues that could impact project timelines and enable engineering teams to maintain program velocity.
• Streamline execution and implement automated tooling where applicable.
• Manage compute resources including forecasting, timely reallocations, and making prioritization recommendations to Gemini leads.
• Share knowledge, best practices, and guidance with other team members to enhance overall team performance.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .