Join Google Cloud to drive the future of its network capacity planning. This role is pivotal in ensuring Google Cloud's exponential growth by guaranteeing efficient and timely delivery of network capacity to support our products and customers worldwide. You will operate across critical planning and execution horizons, blending deep network fundamentals with advanced machine learning and AI methodologies for enhanced forecasting, automated anomaly detection, and complex capacity scenario simulations. Be a key technical collaborator, working closely with Technical Account Managers, Customer Engineers, and Product Managers to navigate intricate customer requirements, proactively mitigate supply chain challenges, and strategically manage inventory buffers.

Your impact will be direct in balancing resource efficiency with unwavering high availability, safeguarding the performance of our global infrastructure, and driving strategic demand attainment across the entire network fleet. Google Cloud is at the forefront of accelerating digital transformation for organizations everywhere, providing enterprise-grade solutions powered by Google's leading technology. Empower developers to build more sustainably and partner with businesses in over 200 countries to achieve growth and solve their most critical challenges.

Leverage profound knowledge of network fundamentals to identify critical paths, expertly manage complex customer requirements, and co-create customized solutions alongside Technical Account Managers, Customer Engineers, and Product Managers. Take ownership of the execution window, accurately capturing large agreement requirements and navigating intricate network lead times. Develop and enhance forecasting models utilizing machine learning and AI to boost predictive accuracy, automate anomaly detection processes, and simulate various capacity scenarios. Proactively mitigate supply shortages, maintain optimal inventory levels, manage policy-based buffers, and meticulously plan for significant peak traffic events. Collaborate extensively to build AI-assisted automation for ordering and resource fulfillment, concurrently designing key metrics to meticulously track fleet efficiency and demand attainment across the network.

A Bachelor's degree or equivalent practical experience is required. A minimum of 5 years of experience in program management is essential, alongside 5 years of experience in designing, constructing, or managing infrastructure projects. Proven experience in creating detailed infrastructure designs, including telecom, electrical, and mechanical aspects, as well as drawing sets for builds and remodels of data center networking spaces, is necessary.

Preferred qualifications include experience partnering with Data Science teams or directly applying machine learning and AI 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 is highly advantageous. Proficiency in data modeling, trend analysis, statistics, and data tools such as SQL and spreadsheet software is expected for synthesizing complex capacity metrics and performance loops. A strong foundational understanding of network infrastructure concepts, including network routing, peering, cache infrastructure (CDN), or capacity placement, is also beneficial.