Senior Product Manager, Robotics Security, DeepMind at Google

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

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or a related technical role.
• 5 years of experience taking technical products from initial concept to launch.

Preferred qualifications:

• Experience defining novel metrics and quantitative goals for large-scale, technically complex problems.
• Experience leading large, complex, cross-functional initiatives in highly ambiguous, zero-to-one domains.
• Technical expertise in AI/ML, Cybersecurity, and Secure Systems/Platform Architecture.
• Ability to manage a portfolio of complex, multi-year strategic bets, from research to large-scale product commercialization.
• Excellent executive communication skills, and ability to simplify complex technical, security, and infrastructure concepts for executive leadership.

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.

In this role, you will be the single-threaded product owner responsible for the strategy that addresses the full spectrum of threats against intelligent platforms, including command/instruction injection, model extraction and anti-distillation, and novel adversarial threats targeting autonomous reasoning engines. Your scope will also include defining the product roadmap for secure execution environments, end-to-end System Integrity, and developing the foundations for long-term scalable autonomy control.

Artificial intelligence will be one of humanity’s most transformative inventions. At Deep Mind, 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 learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

The US base salary range for this full-time position is $256,000-$278,000 + 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Define and own the multi-year goal, strategy, and roadmap for a portfolio of Robotics Security and Platform initiatives.
• Lead the product definition to build secure execution foundations and defend against a wide range of threats, including input manipulation/command injection, anti-distillation, and adversarial misuse of autonomous behavior.
• Define the product roadmap for long-term, scalable control over autonomous physical systems, in partnership with Google’s foremost research and safety teams.
• Own the entire product lifecycle for these core platform and security initiatives, from navigating ambiguous early-stage research to driving execution on large-scale strategic bets.
• Drive strategic alignment and secure buy-in from executive leadership (Director, VP, and SVP) across Deep Mind and Google.