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X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Francisco, CA, USA.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or related technical role.
• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).

Preferred qualifications:

• Experience engaging with developer ecosystems and managing API platform products.
• Deep expertise in AI/ML, specifically multimodal, real-time, and embodied AI/robotics applications.
• Proven track record establishing evaluation frameworks, benchmarks, and quality metrics for AI systems.
• Strong relationship building skills across cross-functional teams, including research, engineering, and product.
• Excellent communication and collaborative skills to align and influence stakeholders.
• Strategic thinker with a bias for action, growing in fast-paced, ambiguous environments.

About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

As a World Modeling and Interactive Media Product Manager, you'll be central to defining the goal and strategy for how our next-generation models understand and interact with the world. You will develop a strong understanding of the multimodal AI landscape with a deep focus on world modeling and interactive media and translate product opportunities and complex technical concepts into clear, actionable product plans. You will build excitement about the potential of this technology, and drive its launch and adoption across key consumer and developer products.

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 varied 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: $217000 - $236000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities

• Craft a compelling goal, define the product strategy and roadmap for world simulation and interactive media capabilities (e.g., live video editing)
• Drive data strategy to improve model performance on simulation and interactive media tasks. Define the quality bar for these capabilities and build out dedicated evaluations.
• Drive product landings and bring this goal to life, collaborating closely with engineering and research teams. Drive landings in key developer and consumer products, and enable downstream embodied AI use cases.
• Influence technical roadmaps and work alongside research and engineering teams to ensure that technical roadmaps support your product goal and priorities.
• Bring market and user signals. Define and engage with key user segments to bring back user feedback and engaged signal.