Product Manager II, Google Distributed Cloud Edge, AI Engines

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.

As a Product Manager on the Google Distributed Cloud (GDC) Connected Infrastructure team, you will be responsible for defining, building, and launching differentiated capabilities for customers to build, deploy, and manage their AI and agentic workloads at the edge. Your focus will be on making GDC Connected the platform of choice for deploying and running AI and agentic applications in low latency and sovereign environments.

You will own the product goal, strategy, and roadmap for the end-to-end DevOps user journey on GDC Connected Infrastructure, considering the unique requirements of edge and hybrid environments, including agent and AI application deployment, performance monitoring and overall lifecycle management. You will work closely with customers, engineering, solutions teams and various Google AI teams to deliver the best product experience for AI DevOps users.

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 $163,000-$237,000 + 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

• Drive the product goal and roadmap for GDC Connected, enabling customers to build and manage edge-native agentic workloads.
• Prioritize features for enterprise applications requiring edge deployment due to low latency or regulatory constraints in local and hybrid environments.
• Collaborate with engineering to build solutions for OSS model serving via GDC AI Gateway, edge-specific MLOps, hardware acceleration, and data pipelines.
• Partner with UX teams to ensure a premier developer and operator experience for AI and agentic applications on GDC Connected.
• Work with Go-to-Market teams to drive product adoption while staying at the forefront of edge computing and AI trends.

Minimum qualifications:

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

Preferred qualifications:

• 5 years of experience in Product Management, with a focus on enterprise software, cloud computing, or infrastructure.
• Proven experience defining and launching products, systems, or processes related to commercial operations or revenue lifecycle.
• Knowledge of Kubernetes Engine.
• Demonstrated ability to develop product strategy, define roadmaps, and drive execution in a cross-functional environment.
• Proven ability to influence and collaborate effectively with a wide range of teams and stakeholders, including senior leadership.
• Excellent analytical, problem-solving, strategic thinking, and communication skills.