Snapshot
- Technical Program Manager (TPM) on Google DeepMind's Gemini App team.
- This open role is for the personalization team, where we aim to build and launch personalized features across the Gemini App surfaces including web, mobile, and Live
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
As a TPM for the Gemini App Personalization team, you'll lead the development of the next generation personal AI assistant on top of Google’s state-of-the-art Gemini models. Personalization is a top priority for the company, and we aim to build and launch personalized features across the Gemini App surfaces including web, mobile, and Live. We also plan to develop new personalization-related capabilities, including understanding and contextualizing relevant personal information, and using it appropriately in responses and tool invocations. The work encompasses a diverse set of tasks, including model post-training, evaluation, data retrieval and summarization, benchmark creation, data collection & synthesis, model serving, and production deployment.
We're looking for someone who is:
- Action-oriented and driven to work on a top Google priority.
- Excited by a startup mindset, fast-paced environment, and an entrepreneurial drive.
- Passionate about the intersection of applied machine learning, infrastructure, and language problems.
- Able to thrive in ambiguity and complex cross-team/cross-site collaborations.
- Ready to advance Google’s generative AI capabilities and be at the forefront of Large Language Models.
Key responsibilities
- Spearhead critical Gemini feature launches, driving progress from conception to delivery.
- Forge close partnerships with PM and Engineering leads to define product strategy and ensure precise execution.
- Navigate and resolve complex dependencies across diverse workstreams, functions, and organizations.
- Guide engineering teams in identifying, prioritizing, and tracking tasks to meet key deadlines.
- Proactively identify and mitigate risks, implementing solutions to keep projects on velocity.
- Deliver clear, consistent updates on progress, risks, and plans to senior leadership.
- Excel at managing multiple, time-sensitive projects concurrently.
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:
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
- 10+ years of experience leading cross-functional programs
- Experience working with Machine Learning and Large Language Models and/or ML Ops
- Experience working in a fast moving team environment
- Demonstrated experience of working on large scale product development
- Proven track record of collaborating with and influencing stakeholders across various functions and sites, especially in situations with little authority and considerable ambiguity
Requirements:
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
- 5+ years of experience leading cross-functional programs
- Experience working with Machine Learning and Large Language Models and/or ML Ops
- Experience working in a fast moving team environment
- Demonstrated experience of working on large scale product development
- Proven track record of collaborating with and influencing stakeholders across various functions with little authority and considerable ambiguity
The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: Friday Oct 17th, 2025
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 opportunities 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.
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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.
