Technical Program Manager III, Network Demand Planning, Cloud Infrastructure

Google•Sunnyvale, CA

2d•$163,000 - $236,000

About The Position

As a Technical Program Manager at Google, you will lead complex, multidisciplinary projects from start to finish. You will work with stakeholders to plan requirements, identify risks, manage schedules, and communicate with cross-functional partners, explaining analyses and recommendations to executives and discussing technical tradeoffs with engineers. The Supply Chain Planning organization enables and accelerates Google's data center infrastructure growth and delivery through AI-powered supply chain planning across Google product areas. It drives planning decisions for new technology and supply capability across data centers, networking, and machines. The Network Planning team focuses on forecasting, demand and supply planning, and execution capability and feasibility management for data center networking infrastructure products. The role leads planning for data center network hardware supporting machine learning deployments, while working with supply chain, procurement, and deployment partners to improve delivery reliability, inventory health, and operational and financial outcomes.

Requirements

Bachelor's degree in a technical field or equivalent practical experience.
5 years of experience in program management.
Experience with supply or demand planning, such as demand forecasting, inventory management, or resource allocation.
Experience with data center or networking infrastructure.

Nice To Haves

5 years of experience managing cross-functional or cross-team projects.
5 years of experience with supply/demand planning, material planning, data center infrastructure, or capital investment decision-making.
Ability to collaborate and influence across multiple organizational levels, with experience leading cross-functional process improvements.

Responsibilities

Lead the monthly S&OP process to define and publish data center network hardware requirements, ensuring global demand is met for machine learning deployments.
Use upstream signals and engineering inputs to create short- and long-term demand plans for networking infrastructure.
Optimize inventory health by balancing safety stock, costs, and product lifecycle transitions to maximize delivery reliability while minimizing excess and obsolete exposure.
Work with supply chain and procurement partners to track supply commitments, provide supply responses to upstream deployment teams, and assess business impact.
Facilitate cross-functional reviews of supply-demand scenarios and drive prioritization and allocation decisions during supply constraints to minimize business impact.
Improve forecast accuracy, inventory health, and excess and obsolete management.
Optimize material spend, cost of goods sold, and gross margins to support product success and operational efficiency.