Technical Program Manager III, Network Deployment Optimization, Cloud Networking

The application window will be open until at least November 25, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Note

By applying to this position you will have an opportunity to share your preferred working location from the following: Addison, TX, USA; Austin, TX, USA; Thornton, CO, USA.### Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience with data center or networking deployments.
• Experience working with data analytics tools and reporting platforms.

Preferred qualifications:

• 5 years of experience managing cross-functional or cross-team projects.
• Co-location and Large Scale Data Center operational experience.
• Familiarity with network planning and engineering, including data center network engineering in complex environments.
• Strong foundational knowledge in data networking architectures and physical network components.

About the job

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A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish.

You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

As a DCNet Delivery Technical Program Manager, you will be responsible for overseeing major deployment programs while working with partner groups to create and achieve strategic business goals.

Your objective will be to organize the overall team, establish clear roles and responsibilities, and global management of capacity deliverables, plan of records and schedules across the global network delivery organization to meet Google’s needs.

In this role, you will have technical backgrounds with an engineering mindset, while being expert communicators and leaders. You will be comfortable with ambiguity, and work to increase maturity in process and technology. You will advocate about improving program efficiency and finding ways to scale the team of PMs they work with.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.

From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.Responsibilities

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• Understand partner team dependencies, constraints, designs and forecasting mechanisms that impact the business by engaging early and often, collaborating on process improvements.
• Manage global management of capacity deliverables, plan of records, and schedules across Global Network Delivery.
• Work with planning to understand plan of record, ensure dependent projects are kicked off in time to support schedule of downstream dependencies.
• Review key metrics pertaining to a program, monitor potential metric deviations, and define corrective actions for critical deviations.
• Drive root cause corrective actions and make recommendations to the business to prevent known issues from recurring and constraining capacity.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.