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Group Product Manager, Agent Security

Google DeepMind Mountain View, California, US; New York City, New York, US; San Francisco, California, US Full-time GenAI Posted May 4, 2026
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What it’s like to work at Google DeepMind

AI Research Lab · London, UK

4.2
Employee Rating
4
Work-Life Balance
70
Open Roles
deep-worklearningeng-drivendiverseethical-aiequityflex-hours

What employees love

  • World-class AI research environment with brilliant, collaborative colleagues
  • Google-level compensation and benefits with genuine work-life balance

What could be better

  • Google-scale bureaucracy — slow decision-making compared to startups
  • Large org means less individual ownership and impact on direction
View full Google DeepMind culture profile →

About the Role

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At 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.

The Role

As AI agents become more capable and autonomous, they introduce an entirely new frontier of security challenges. This role is about setting the multi-year vision for the fundamental security paradigms required to ensure agents remain safe, aligned, and resilient against attack as they advance toward AGI.

You will be the single-threaded product owner responsible for the strategy that addresses the full spectrum of agent-related threats, including Prompt Injection, Anti-Distillation, and other novel Threats against AI. Your scope will also include defining the product roadmap for ensuring System Integrity and developing the foundations for long-term AGI Control.

The "product" is the end-to-end security posture and resilience of our agentic systems. You will own and navigate the complex trade-offs between agent capability, research velocity, and security, influencing and aligning senior leadership across Google to chart our path for deploying trustworthy agents.

Key responsibilities:

About You

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

In addition, the following would be an advantage:

The US base salary range for this full-time position is between $240,000 - $334,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: April 8, 2026

At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity 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, maternity 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.

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Frequently Asked Questions

What is the work-life balance like at Google DeepMind?
Google DeepMind has a work-life balance score of 4/5 based on employee reviews. This is above average, suggesting the company genuinely respects work-life boundaries.
What is Google DeepMind’s culture like?
Google DeepMind is characterized by these culture values: deep-work, learning, eng-driven, diverse, ethical-ai, equity, flex-hours. Based on employee reviews, the company has an overall rating of 4.2/5. World-class AI research environment with brilliant, collaborative colleagues
How many open roles does Google DeepMind have?
Google DeepMind currently has 70 open roles across departments including engineering, product, sales, and more. Roles are refreshed daily from their careers page.
Is this role remote-friendly?
This role is located in Mountain View, California, US; New York City, New York, US; San Francisco, California, US. Check the job description above for specific location and remote work details.
Apply for this role at Google DeepMind →