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X The application window will be open until at least August 24, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Boulder, CO, USA; Sunnyvale, CA, USA.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or related technical role.
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
• Experience developing or launching products or technologies within Artificial Intelligence or Machine Learning (AI/ML).

Preferred qualifications:

• Master's degree in a technology or business related field.
• 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
• 5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
• 4 years of experience in a role preparing and delivering technical presentations to executive leadership.
• 3 years of experience in software development or engineering.
• 3 years of people management experience with direct reports, and in technical leadership.

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 complex 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.

Our goal is to become the leading platform for autonomous workflows by the end of the year. Historically, our focus has been to protect our customers while offering them governance and observability. Our new mission is to ensure workspace is the premier environment for hosting and governing all autonomous agents. We intend to establish our platform as the default choice for governed and intelligent agentic workflows. We need to provide the tools to allow customers to define their own controls and securely govern their agentic tasks.

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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) 20% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities

• Manage validation of market size and opportunity (e.g., user-based, strategic opportunity, business).
• Lead and harmonize processes to define, identify, collect, and track appropriate product or business metrics, both quantitative and qualitative for new or existing products or business ventures.
• Set cross-workspace Human in the Loop (HITL) standards for agentic actions across first-party, second-party, and third-party agents.
• Provide user-facing controls to enable secure and well-scoped access to their workspace data for second-party and third-party AI agents.
• Unblock workspace Command Line Interface (CLI) and Model Context Protocol (MCP) by giving users and customers control over what their AI apps can do with or without their approval by designing a compelling user confirmation and HITL platform.