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Technical Program Manager, Model Launches, AI Studio, DeepMind

DeepMindMountain View, CA, USA

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.

About the job

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.

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

  • 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.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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