Product Manager, AI Agent Platform for Drive

Google LLC

New York (NY)

On-site

USD 192,000 - 278,000

Full time

11 days ago

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Job summary

Google Drive is hiring a Product Manager to own the Next Billion Agents initiative in the Agent Platform and Governance area. You will guide products from conception to launch, bridge technical and business worlds, and work with model builders and leaders to impact billions of users.

This role emphasizes owning outcomes, solving ambiguity, and coordinating across engineering, UX, security, and data science to scale agent-based workflows, with compensation including base pay, bonus targets,

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in product management or a related technical role.
  • 3 years taking technical products from conception to launch.
  • Experience in AI/ML products.
  • Experience building developer platforms, APIs/SDKs or MCP, or cloud storage/file-system primitives.

Responsibilities

  • Drive Agent Platform primitives, including MCP server and semantic retrieval.
  • Lead Agent Governance, Trust and Safety capabilities with approvals and DLP.
  • Deliver first-class agent artifacts and multiplayer UX across Markdown/HTML outputs.
  • Partner with Engineering, UX, Data Science, Security and cross-Workspace teams to grow activity.

Skills

AI/ML experience
APIs/SDKs development
Cloud storage primitives
LLM agent architectures familiarity
Executive presentations to leadership
Security, identity, OAuth scoping

Education

Bachelor's degree or equivalent practical experience

Tools

Model Context Protocol (MCP)

Job description

Google Drive is hiring a Product Manager to own the Next Billion Agents initiative in the Agent Platform and Governance area. You will guide products from conception to launch, bridge technical and business worlds, and work with model builders and leaders to impact billions of users.

This role emphasizes owning outcomes, solving ambiguity, and coordinating across engineering, UX, security, and data science to scale agent-based workflows, with compensation including base pay, bonus targets,

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