Group Product Manager, AI Agent Security & Access

Google; San Jose (CA); On-site; USD 240,000 - 333,000; Full time

Job summary

Google in the United States seeks a proven Product Manager to define and drive its Agentic AI Authorization Strategy, collaborating across AI Research, Cloud, Productivity, and Core Infrastructure.

You will lead zero-trust guardrails for autonomous agents, advance secure token-based access, and partner with engineering leaders to deliver scalable security features in a fast-moving environment.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of product management experience in security, cloud infrastructure, IAM, enterprise platforms, or AI/ML systems.
• 5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1).
• Experience in enterprise security architecture, including zero-trust models, OAuth, service mesh authorization (RPC/HTTP), and capability-based tokens (e.g., Macaroons).
• Experience designing secure AI agent systems, including tool-calling, prompt safety, and exfiltration prevention.
• Experience leading distributed engineering organizations.

Responsibilities

• Define and progress the strategic plans for Google's agent authorization model, balancing high operational velocity with zero-trust security controls across all development and production environments.
• Influence holistic and long-term strategy for agent access control, partnering with identity platform PMs and token specification owners to define how Google restricts agent access using cryptographic tokens and scopes across all services.
• Solve challenges in authorization across service meshes, designing original approaches for routing and inspecting agent-initiated credentials.
• Serve as the domain expert for agentic access security, advising executive directors and Vice President's across AI Research, Cloud, Productivity, and Core Infrastructure on secure agent architectures.
• Drive innovation in security models by replacing manual compliance exceptions with policy frameworks and standardized agent integration software development kits (SDKs), empowering product teams to innovate at AI speed while maintaining company-level security commitments.

Skills

Product management (security)

Security architecture

IAM / zero-trust

AI/ML systems

End-to-end product lifecycle

Distributed engineering leadership

Education

Bachelor's degree or equivalent practical experience

Master's degree in technology or business

Tools

SQL

Distributed databases

Job description

Google in the United States seeks a proven Product Manager to define and drive its Agentic AI Authorization Strategy, collaborating across AI Research, Cloud, Productivity, and Core Infrastructure.

You will lead zero-trust guardrails for autonomous agents, advance secure token-based access, and partner with engineering leaders to deliver scalable security features in a fast-moving environment.