Technical Program Manager

• Bring clarity to ambiguity by partnering with researchers and engineers to steer goal-setting processes and turn open research questions into clear milestones and actionable plans.
• Oversee the end-to-end model lifecycle, including post-launch monitoring and model deprecations, while scaling the team by building the tools and processes needed to support a rapidly expanding model portfolio.
• Track, report, and drive the most critical project dependencies, maintaining a strong awareness of downstream impacts.
• Partner closely with Developer Relations (DevRel) and AI Studio API Product Managers (PMs) to coordinate early access programs.
• Build and maintain relationships with senior stakeholders, ensuring smooth information flow across the program and adapting your approach to share critical information and influence positive outcomes.

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in technical program management, driving program delivery from concept to completion.
• Experience in the Artificial Intelligence (AI) or Machine Learning (ML) field.

Preferred qualifications:

• Experience partnering with senior engineering and research leadership to deliver straightforward solutions to complex and technical spaces.
• Demonstrated ability to navigate ambiguity, prioritize, and adapt plans and strategies as project conditions change in a fast-paced environment.
• Ability to quickly learn new technical domains to understand challenges and risks while balancing broad trade-offs and opportunities.
• Excellent communication skills with the ability to develop meaningful relationships with key partners to influence action and outcomes.
• Passion for advancing AI technologies with an AI-native mindset and a desire to contribute to critical technical challenges.

The role of the Technical Program Management Team is to organize and enable our research teams to be the best at what they do and to make fast-paced progress towards our mission. We continually pursue scalable and sustainable ways to optimize research, striving to ensure we cultivate an environment where people can be both highly collaborative and deeply creative, making responsible and pioneering research progress at pace. We build strong relationships with teams, bringing clarity to ambiguity and providing stability during change.

Our program management skills help us address even the most complicated projects. By working hand-in-hand with researchers and engineers, we are constantly deepening our technical skills and making sure our work is always moving us closer to our mission.

As the Technical Program Manager for Model Launches, you will play a critical role in bridging research and products to ensure new models are deployed quickly and with minimal confusion. You will partner closely with DevRel and AI Studio API Program Managers to coordinate early access programs, while overseeing the end-to-end model lifecycle including post-launch monitoring and model deprecations. Additionally, you will focus on scaling the team by building the necessary tools and processes to support our rapidly expanding model portfolio.

Artificial intelligence will be one of humanity’s most transformative inventions. At 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.

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.

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in technical program management, driving program delivery from concept to completion.
• Experience in the Artificial Intelligence (AI) or Machine Learning (ML) field.