Group Product Manager, Google Cloud Networking, ML Infrastructure

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.

In this role, you will be focusing on the Cloud wide area network (WAN) and data transfer portfolio. You will be driving the multi-year product goal and execution, specifically targeting Artificial Intelligence/Machine Learning (AI/ML)-ready infrastructure and deployments. Responsibilities will include managing the end-to-end product lifecycle, performing market research on AI workflows, developing go-to-market strategies, and fostering cross-functional alignment. You will have product management experience, including 5 years shipping technical products like cloud or networking infrastructure, and an understanding of AI/ML-specific networking requirements.

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 $240,000-$334,000 + 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

• Define the multi-year product goals for Cloud WAN and Data Transfer, focusing on AI/ML-ready infrastructure and network deployment patterns.
• Drive end-to-end development for initiatives and translate high-level requirements into roadmaps, partnering with Engineering to deliver core networking enhancements.
• Understand customer needs in WAN and data transfer, specifically tailoring solutions for AI/ML training and inference workflows.
• Lead go-to-market (GTM) strategies, pricing, and positioning for new launches. Track key metrics to optimize product performance and business growth.
• Align Engineering, Sales, Marketing, and Capacity teams to ensure seamless product delivery. Mentor junior product managers and foster a culture of innovation.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 10 years of experience in product management or related technical role.
• 5 years of experience building and shipping technical products (e.g., cloud, networking, enterprise software).
• Experience with AI/ML infrastructure, training, or inference workloads.
• Experience developing or launching products/technologies within one or more of the following: Cloud, SaaS, enterprise, or network infrastructure.

Preferred qualifications:

• 12 years of experience in product management, in Cloud networking or related technical domains.
• Expertise in WAN, software-defined wide area network (SD-WAN), Cloud networking, data transfer, and network capacity planning and delivery.
• Understanding of AI/ML-specific networking, including training/inference patterns and LLM "whale" customer deployment requirements.
• Track record of driving product strategy and roadmaps in ambiguous environments with executive-level influence.
• Excellent communication, team-work, and leadership skills with experience delivering initiatives.