Senior Product Manager, Service Networking, Google Cloud
Senior Product Manager, Service Networking, Google Cloud
_corporate_fare_ Google _place_ Sunnyvale, CA, USA
Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in product management or related technical role.
- 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
- 3 years of experience developing/launching products/technologies within one or more of the following: Cloud, SaaS, enterprise, internal tools, or supply chain networks.
Preferred qualifications:
- 3 years of people management experience with direct reports.
- Experience driving product goal, go-to-market strategy, and design discussions.
- Experience managing day-to-day technical and design direction.
- Experience in one or more of the following: cloud infrastructure, SaaS, big data, security and privacy, development and operations, or artificial intelligence/machine learning.
- Knowledge of multiple functional areas such as Product Management, Software Development, UX/UI, Sales, Customer Support, Finance or Marketing.
- Ability to influence multiple stakeholders without direct authority.
About the job
We are dedicated to revolutionizing service networking by providing a unified and powerful platform encompassing Cloud Load Balancers, GKE Gateway, and Cloud Service Mesh. Our products are mission-critical for our users, and are at the forefront of the latest innovations in networking including optimizing and securing AI/ML workloads, supporting cross cloud network solutions, and helping drive the growth of platforms such as GKE. Our commitment to programmability for service networking offers empowers developer autonomy; consistent policy enforcement strengthens cloud security posture, and our active contributions to the open source Kubernetes community promotes innovation.
Our team works closely with creative and prolific 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 Cloud helps employees and organizations empower their employees, serve their customers, and build what’s next for their business.
As a Google Cloud Senior Product Manager, you will drive product strategy and partner closely with cross-functional teams to define and deliver on the next phase of cloud services.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
- Drive the goal for how developers build, secure, and manage modern applications, encompassing our industry-leading Cloud Load Balancers, GKE gateway, and Cloud Service Mesh offerings. Pioneer cutting-edge networking solutions specifically designed for optimizing AI/ML services and workloads and simplify Agentic networking and its governance.
- Define and lead a cohesive product strategy that empowers Google AI/ML services through advanced programmability and ensures governance across environments. Foster a culture of innovation, leveraging deep customer insights and market trends to deliver solutions that address both current needs and future frontiers, including the unique demands of AI/ML and the emerging landscape of agentic systems.
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