Product Manager, Distributed Cloud AI

Product Manager, Google Distributed Cloud AI

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• Bachelor's degree or equivalent practical experience.
• 3 years of experience taking technical products from conception to launch.
• 5 years of experience in product management or related technical role.

• Master's degree in a technology or business related field.
• Experience taking technical products from conception to launch, managing the end-to-end product lifecycle.
• Understanding of Artificial Intelligence and Machine Learning (GenAI, LLMs, Inference).
• Ability to influence stakeholders across multiple teams and regions without direct authority.
• Excellent problem-solving skills, with the ability to navigate technical landscapes.
• Excellent communication skills, both written and verbal, with the ability to distill concepts into clear product requirements.

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 are responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Google Distributed Cloud (GDC) is at the forefront of bringing Google's AI innovation to the edge and on‑premises environments. As a Product Manager on the GDC AI team, you will be part of a group responsible to bring Gemini, Gemini Enterprise Search and other advanced Google's AI capabilities to customer environments where data sovereignty, security, and low latency are paramount. Our mission is to empower regulated industries and global enterprises to leverage the power of Google's AI while maintaining complete control over their data.

You will work at the intersection of next‑generation hardware, high‑performance software architecture, and research to deliver Google’s AI software securely within sovereign environments.

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.

The US base salary range for this full‑time position is $156,000–$229,000 + 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.

• Shape the roadmap for GDC AI, focusing on on‑premises generative AI, optimized inference, and the expansion into Agentic AI.
• Lead the integration and deployment of Gemini models in air‑gapped and regulated environments, ensuring performance and compliance.
• Collaborate with engineering to optimize AI workloads using next‑gen hardware accelerators and high‑performance inference stack.
• Deliver the Agentic AI platform including agent development kit (ADK), agent2agent (A2A) protocols to help enterprises build autonomous,…