Product Manager II, Google Cloud CDN, AI Workloads

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.

Google is at the forefront of the AI revolution. As the industry shifts from human-driven web interactions to autonomous, agent-mediated operations, we are entering the next massive platform shift.

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

• Product Strategy and Roadmap: Partner with leadership to influence and drive the long-term strategic goal for the Content Delivery of intelligent APIs, dynamic web applications, and programmable edge in addition to traditional static web workloads.
• Collaboration and Execution: Partner with an exceptional team of Product Managers, Engineers and larger cross-functional team to identify use cases grounded by customer voice with monetization models, to drive differentiation and land innovations.
• Go-to-Market & Business Impact: Own the business outcomes and strategic monetization models for the portfolio. Partner deeply with global Sales, Marketing, and Partnerships leadership to define category-creating GTM motions, capture significant market share, and drive revenue outcomes.
• Partner Ecosystem: Influence Google's stance within the broader AI and developer ecosystem for edge, serverless architectures, and dynamic content delivery.

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.).
• 2 years of experience with networking, network architecture, networking protocols, and software architecture.

Preferred qualifications:

• 5 years of product management experience scaling CDN, API gateways, load balancing, or enterprise networking products.
• Experience with programmability frameworks (e.g., WebAssembly) for custom routing and cache key normalization.
• Experience integrating CDN capabilities natively with containerized orchestration and serverless platforms.
• Expertise in modern networking protocols, content delivery, and caching optimizations.
• Familiarity with securing global application traffic, WAFs, and DDoS mitigation architectures.
• Knowledge of networking and routing requirements for enterprise AI architectures (e.g., Model Context Protocol).