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 international, emerging, or regulated markets (e.g., sovereign, data-residency, public sector, or financial services).
• Experience with cloud, AI/ML, or infrastructure/platform businesses.
• Experience building agentic technologies.

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 with capacity planning or management in a large-scale cloud environment.
• Experience with generative-AI model serving and its economics (e.g., utilization, unit cost, provisioned throughput).

About the job

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.

In this role, you will own the Gemini Enterprise Agent Platform business in Google's sovereign/data-residency markets end-to-end from strategy to sovereign-fleet return on investment. You will set the multi-year goal for how Google wins sovereign AI, then run the operational engine that makes it real: matching multi-year capacity investments to in-country demand, driving utilization and business generation, and orchestrating model and product launches across GE, GECX, the Gemini API, and the model teams. You will build consensus across infrastructure/capacity, model, product, field, finance, and legal/compliance leadership, and the judgment to make irreversible trade-offs under ambiguity. Your work determines whether regulated customers get the frontier of AI without ever leaving their jurisdiction and whether the capacity we have committed to becomes a productive, profitable, and defensible franchise.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge 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: $240000 - $333000 (USD) 25% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities

• Own the product goal, strategy, and roadmap for the sovereign-AI/data residency business across all Cloud AI pillars (APIs, Applications, Agents).
• Drive the demand-to-capacity plan to maximize capacity return on investment, including in-country fleet utilization and provisioned throughput sell-through.
• Orchestrate the launch of Gemini model variants in specific regions while serving as the single point of coordination across product and model teams.
• Engage directly with regulated enterprise and government customers and regional teams to qualify demand and drive business generation.
• Partner with Legal, Compliance, and Trust to uphold data-residency guarantees and ensure compliance across new regions.