As a Gemini Product Manager, specializing in Data, you will be at the forefront of advancing the most capable general multimodal large language model. You'll be integral to the core Data team, driving the strategy and execution for leveraging cutting-edge data techniques. This role is key to evolving Gemini at scale, ensuring high-quality data fuels its capabilities across diverse use cases for consumers, enterprise, developers, and internal Google products, representing a significant opportunity to influence the future of Gemini.

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.

Product managers at Google DeepMind identify and deliver on opportunities to apply cutting-edge research to products and infrastructure across Google and Alphabet, and that are used by millions of people. Working at Alphabet scale gives us a unique set of opportunities, allowing us to apply our research beyond the lab towards global and complex problems.

• Define the product strategy and vision for data within Gemini, deeply understanding product, business, and user needs and translating them into a roadmap.
• Influence the model development roadmap and strategy by providing expertise and guidance on how data can unlock new capabilities and address current challenges in building advanced AI.
• Lead the planning and execution for generating the necessary volume, types, and quality of data aligned with Gemini's priority capabilities and overall product direction.
• Establish robust quality assurance processes and build sustainable, effective infrastructure and pipelines to ensure the reliability and efficacy of data at scale.
• Collaborate closely with world-class research scientists and engineers on the Data team and across Gemini to integrate data generation techniques and evaluate their impact on model performance.
• Identify and champion new opportunities for leveraging data, exploring both experimental and established ideas to expand its application and enhance Gemini's evolution.

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

• Bachelor's degree.
• 5 years of experience in product management, consulting, co-founder or related role.
• 2 years of experience building and shipping technical products.

In addition, the following would be helpful (but not required): 

• Track record of driving launches through complex stakeholder management.
• Previous experience working on ML/AI products.
• Graduate degree in Computer Science / Computer Engineering / Data Science / Machine Learning

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

Application deadline: May 23, 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.