Senior Technical Program Manager, GeminiApp

Reposted 12 Days Ago
Be an Early Applicant
2 Locations
In-Office
183K-271K Annually
Expert/Leader
Artificial Intelligence
The Role
Lead and drive critical feature launches for the Gemini App, managing cross-functional dependencies and collaborating with engineering and product teams. Oversee project execution, communication, risk management, and process improvements while fostering an innovative team culture.
Summary Generated by Built In

Snapshot

This is an exciting opportunity to join Google DeepMind and play a key role in shaping the future of the Gemini App!  As a Technical Program Manager, you'll drive the strategy and execution of high-impact Gemini launches across web, mobile, and iOS platforms. You'll be working directly with our Engineering, Product and UX teams and other GDM units on cutting-edge language models to deliver groundbreaking solutions to a massive user base. This role offers hands-on project leadership, the opportunity to build innovative features, and make a real difference in how people interact with AI. Join our dynamic, fast-paced, and startup-like environment where you'll be constantly pushing the boundaries of what's possible with AI.


About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

This is a unique opportunity to join the GeminiApp team and contribute to shaping the future of the Gemini App. This role will require the following skills:

  • Lead and drive progress on critical feature launches across the Gemini App ecosystem.
  • Identify and manage cross-functional dependencies across teams and organizations.
  • Partner with engineering and product leads to shape product direction and ensure successful execution.
  • Drive engineering teams to identify, prioritize, and track tasks towards completion.
  • Proactively identify risks, develop mitigation plans, and implement solutions.
  • Communicate progress, risks, and plans to leadership regularly.
  • Identify and implement process improvements to enhance team efficiency.
  • Manage multiple time-sensitive projects concurrently.
  • Foster a collaborative and inclusive team culture that values innovation and excellence.
  • Advocate for the team's needs and ensure they have the resources and support to succeed.

About You

In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:

  • Strong technical background with demonstrated expertise in machine learning and generative AI.
  • Excellent program management and strategic planning skills to effectively drive projects forward.
  • Exceptional communication and influencing skills, with the ability to build strong relationships and drive alignment among diverse stakeholders

In addition, the following would be an advantage: 

  • Master’s degree in Computer Science or a related field, or equivalent practical experience
  • 10+ years of experience in technical program management, with a proven track record of leading complex, cross-functional programs from inception to launch
  • Experience working in a fast-paced, dynamic environment (e.g., startup) with a bias toward action
  • Proven experience shipping successful products or features to consumers, showcasing a deep understanding of user needs and the ability to translate them into tangible results

The US base salary range for this full-time position is between $183,000 USD - 271,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 12pm GMT Friday 27th February 2026

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Skills Required

  • Strong technical background with expertise in machine learning and generative AI
  • 10+ years of experience in technical program management
  • Master's degree in Computer Science or equivalent practical experience
  • Experience in fast-paced, dynamic environments like startups
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The Company
1,218 Employees
Year Founded: 2010

What We Do

We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.

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