Senior Product Manager, AI & Google Workspace Access

Capital One

McLean (VA)

On-site

USD 201,000 - 229,000

Full time

6 days ago
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Job summary

Capital One is seeking a Senior Manager of Product Management for Google MCP & Agent Access to lead strategy and development for secure, governed access by third-party AI agents into Google Workspace. You will shape how agents read and write Workspace data, enabling live data collaboration across tens of thousands of associates.

The role targets a collaborative, technically curious product manager who thrives in ambiguity and can drive adoption, governance, and risk-managed AI integration across

Qualifications

  • Five key areas of Capital One Product Framework: Human Centered, Business Focused, Technology Driven, Integrated Problem Solving, Transformational Leadership.
  • Bachelor's or Master's Degree in a quantitative field or Business/Marketing, or 4 years PM experience with a Bachelor's.

Responsibilities

  • Define the GWS Agent Access Strategy roadmap for read/write access over time.
  • Build the API & MCP Broker Layer to enable agentic tools.
  • Drive adoption toward live data usage and reduce manual data downloads.
  • Define safe and efficient usage patterns with guardrails for agent use.
  • Drive security and compliance with Risk and Cyber teams.

Skills

Human Centered
Business Focused
Technology Driven
Integrated Problem Solving
Transformational Leadership

Education

Bachelor's or Master's Degree in a quantitative field
Bachelor's degree in any field + 4 years of Product Management experience

Job description

Capital One is seeking a Senior Manager of Product Management for Google MCP & Agent Access to lead strategy and development for secure, governed access by third-party AI agents into Google Workspace. You will shape how agents read and write Workspace data, enabling live data collaboration across tens of thousands of associates.

The role targets a collaborative, technically curious product manager who thrives in ambiguity and can drive adoption, governance, and risk-managed AI integration across

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