Group Product Manager, Architectural Advances, Frontier AI, DeepMind

Group Product Manager, Architectural Advances, Frontier AI, DeepMind Share Group Product Manager, Architectural Advances, Frontier AI, DeepMind

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corporate_fareDeepMindplaceLondon, UK; Mountain View, CA, USA

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Share Group Product Manager, Architectural Advances, Frontier AI, DeepMind

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info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Mountain View, CA, USA.

Minimum qualifications:

• Bachelor's degree in Computer Science or equivalent practical experience.
• 10 years of experience building AI products, including AI architecture and models.

Preferred qualifications:

• Understanding of the current model landscape and strengths or weaknesses of various techniques.
• Ability to stay up-to-speed on all relevant research in core model advancements.
• Ability to zoom out and predict model gaps which will need to be addressed to get us to AGI.
• Ability to build clear goals and strategies of how model advancements can be turned into incredible product features.
• Strong ability to communicate complex technical advancements with great simplicity.
• Very strong ability to collaborate in high stakes environments with multiple executive stakeholders and technical leads.

About the job As a Product Manager at DeepMind, you will be responsible for the shipping AI research breakthroughs into Google’s AI models and products. You will be working with brilliant AI researchers who are focused on making the biggest advances across new model architectures, AGI and advanced applications like Agents and Robotics. You will understand the implications of new architectures on Gemini and other models, help teams navigate the tradeoffs and build collaborations with model development teams, work with various product areas like Cloud and Search to understand customer needs and how model advancements can address those needs. In addition to shipping architectural advances directly into our models, you may sometimes also ship a new model family or work with products to ship custom models directly into products. You will also help research teams build the communication and ecosystem strategy for the model advancements so that they get the right level of adoption and awareness.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: $240000 - $333000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities

• Understand implications of new model architecture breakthroughs on Gemini and other models.
• Build collaborations with product teams and model development teams to ship model architecture advances.
• Work with Google product areas and understand customer needs which can be met much better with specific model architecture advancements.
• Build an ecosystem of tooling and infrastructure to enable new model advances to become viable alternatives to existing ones.
• Deploy entirely new models.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. 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.