About the job

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.

This role sits at the unique intersection of traditional network monitoring and emerging disruptive AI/ML infrastructure deployments. This is an opportunity to guide a product from concept to launch, connecting technical complexity with business value at a scale unique to Google.

In this role, you will drive the evolution of Network Observability into emerging runtime environments and AI training/inference deployments. You will use your experience in cloud networking and apply it to an emerging, disruptive, technology area (AI/ML) with a focus on helping our customers deploy and scale their cross-cloud networking deployment.

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

• Analyze the Cloud Networking portfolio and customer deployment journeys to identify and solve critical connectivity and performance challenges.

• Define observability requirements for large-scale, network-intensive AI/ML workloads to support evolving hardware and software infrastructure.

• Partner with Compute, GKE, and Cloud Run teams to deliver a unified network observability outlook across emerging cloud platforms.

• Conduct competitive analysis of network observability products to differentiate Google Cloud solutions in modern runtime environments.

• Collaborate with Engineering, Marketing, and UX to build multi-year roadmaps that align customer needs with long-term AI/ML trends.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 5 years of experience in product management or a 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 with networking, network architecture, networking protocols, and software architecture.

Preferred qualifications

• Experience in network observability, or network performance management, or application performance management.

• Experience working cross-functionally to drive growth with a compelling GTM strategy.

• Understanding of AI/ML Infrastructure requirements: CPU/ GPU/ TPU roadmaps, cloud networking CUJs in AI training/inference deployments.

• Excellent innovative thinking and collaboration skills, and the ability to be comfortable sorting through ambiguity to solve complex problems.

• Excellent problem-solving mindset, and the ability to get to the big picture to drive prioritization.

• Excellent communication and presentation skills (e.g., writing strategy docs, writing and delivering presentations to leadership).