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Group Product Manager, One MCP

Google
On-site
Sunnyvale, California, United States
$227,000 - $320,000 USD yearly
Product Manager

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in product management or related technical role.
  • 5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
  • Experience in the DevOps space.

Preferred qualifications:

  • Master's degree in a technology or business related field.
  • 7 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
  • Experience navigating ambiguity and shaping product direction in a rapidly evolving "0-to-1" product space within organization.
  • Familiarity with AI/ML platforms, agent frameworks, or associated platform infrastructure.
  • Understanding of open interfaces and best practices in hybrid and multi-cloud environments.


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 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 contribute to the One MCP initiative within the Cloud Foundations Charter by building a unified and secure platform for Google's first-party services. You will leverage and extend the One Platform stack to create a seamless ecosystem that enables AI agents and applications to discover, interact with, and manage capabilities including protocol translation, integration, AI protection policies, tool discovery support, life-cycle management, governance, and observability.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $227,000-$320,000 + 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

  • Own Product Requirements Document (PRDs) by facilitating collaboration with partner teams (e.g., engineers, PgMs, UX) during product design
  • Define the product strategy and roadmap for key components of One MCP such as Tooling and Integration, Governance and Security, Developer Experience, Ecosystem Growth, ensuring alignment with Google Cloud’s broader Agentic AI strategy and the recently announced Google Cloud MCP Servers.
  • Drive cross-functional alignment and secure buy-in from executive stakeholders across Core, GCP, and AI/ML organizations to ensure One MCP meets various needs and fosters a unified ecosystem.
  • Translate requirements (e.g., API transcoding, AI protection via Model Armor, agentic identity, governance controls) into clear product specifications and compelling value propositions.
  • Identify market opportunities, user needs, and landscape for MCP tools, encompassing first-party Google services, Google Cloud Platform (GCP) customer services, and third-party integrations.