Product Manager, New Product Incubations, Frontier AI, DeepMind

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or related technical roles.
• 2 years of experience taking technical products from conception to launch.
• Experience developing or launching products or technologies within Artificial Intelligence or Machine Learning (AI/ML).

Preferred Qualifications

• Master's degree in a technology or business related field.
• 3 years of experience in a role preparing and delivering technical presentations to executive leadership.
• 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
• 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
• 1 year of experience in technical leadership.
• Ability to rapidly convert deep AI research insights into commercial, market-ready products.

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 Product Manager at Google DeepMind, you will be responsible for shipping AI research breakthroughs into Googles 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. Your job will be to run internal impact acceleration programs with teams of dedicated engineers to convert research ideas into demos, prototypes, new platforms, products and features. This is a broadly scoped, highly entrepreneurial role requiring deep technical depth and strong product outlook and instincts at the same time.

Artificial intelligence will be one of humanitys most transformative inventions. At Google 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.
The Canada base salary range for this full-time position is CAD 170,000-174,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Please note that the compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Develop strong programmatic structures to accelerate productization of research from across the organization.
• Identify and prioritize key research opportunities which are ready to take through the acceleration process.
• Work closely with research teams as well as dedicated engineering teams to scope and execute on ambitious product sprints.
• Drive launches, graduations, partnerships, maintenance, and retirement in collaboration with other cross-functional teams and stakeholders.