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Technical Program Manager, Network Capacity Planning

Google -
Mumbai, Maharashtra

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Job details

Full-time
4 hours ago

Qualifications

Data center experience
Program management
Data modeling
Google Cloud Platform
Network infrastructure
SQL
Bachelor's degree
Machine learning
Computer networking
Data science
AI

Full job description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Mumbai, Maharashtra, India.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience in program management.
5 years of experience designing, constructing, or managing infrastructure projects.
Experience creating infrastructure designs (e.g., telecom, electrical, mechanical), drawing sets for builds, and remodels of data center networking spaces.

Preferred qualifications:

Experience partnering with Data Science teams or directly leveraging machine learning and AI-driven methodologies to scale forecasting models, automate anomaly detection, and simulate capacity scenarios.
Experience in network capacity planning, demand forecasting, inventory optimization, or supply-demand matching.
Proficiency in data modeling, trend analysis, statistics, and data tools (e.g., SQL, spreadsheet software) to synthesize complex capacity metrics and performance loops.
Strong foundational knowledge of network infrastructure concepts, including network routing, peering, cache infrastructure (CDN), or capacity placement.
Demonstrated success driving large, high-stakes infrastructure initiatives forward in ambiguous, fast-moving environments while balancing resource efficiency with high availability.

About the job

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 Network Capacity Planner, you will ensure Google Cloud’s growth by guaranteeing network capacity is delivered efficiently and on time to support products and customers. Operating across critical planning and execution horizons, you will blend a deep understanding of network fundamentals with machine learning and AI-driven methodologies to scale forecasting, automate anomaly detection, and simulate complex capacity scenarios.

Acting as a key technical collaborator alongside Technical Account Managers, Customer Engineers, and Product Managers, you will navigate customer requirements, mitigate supply stockouts, and manage inventory buffers. Your work will directly balance resource efficiency with high availability, safeguarding infrastructure performance and driving strategic demand attainment across the global network fleet.

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.

Responsibilities

Leverage deep knowledge of network fundamentals to understand critical paths, skillfully navigate complex customer requirements, and co-develop tailored solutions alongside Technical Account Managers, Customer Engineers, and Product Managers.
Own the 3–12 month execution window, capturing large agreement requirements and navigating 12+ month network lead times.
Build forecasting models leveraging machine learning and AI to improve predictive accuracy, automate anomaly detection, and simulate capacity scenarios.
Mitigate supplies shortages, maintain optimal inventory levels, manage policy-based buffers, and plan for major peak traffic events.
Collaborate to build AI-assisted automation for ordering and resource fulfillment while designing metrics to track fleet efficiency and demand attainment.

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.

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