Campus Planning Manager, Global Network Solutions

The application window will be open until at least October 29, 2025. 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; Atlanta, GA, USA; Austin, TX, USA; Thornton, CO, USA.Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.
• 5 years of experience in leadership role with direct reports.
• Experience defining system or process requirements, building, integrating, or delivering layer 1, layer 2, or layer 3 network systems.
  
  

Preferred qualifications:

• 8 years of experience managing cross-functional/team projects.
• Experience in coding languages such as SQL, R, Go, and Python.
• Knowledge of the technical and process issues associated with network planning.
• Ability to manage multiple priorities in an ambiguous and busy operations environment, and deliver results in a timely manner.
• Excellent organizational, multitasking, and prioritization skills, with attention to detail.
  
  

About The Job

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams.

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.

The US base salary range for this full-time position is $183,000-$271,000 + 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

• Lead a team of people who are collectively responsible for the generation of all plans for Google’s Core production network.
• Evolve the business processes governing the generation of plans, throughout their lifecycle (input gathering, generation, validation, publication, handoff), specifically including the definition of the business policies that govern them (architectural/topology, hardware lifecycle, capacity/utilization goal, failure policy).
• Drive the software roadmap of all automatable tasks performed by the team, substantially reducing cycle time and improving quality and consistency.
• Define and instrument key business metrics for the team, continuously analyze them to derive insights and improvements initiatives.
  
  
  

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 .