Join Google Cloud as a Technical Program Manager, specializing in Network Capacity Planning. This role is pivotal in ensuring Google Cloud's infrastructure can efficiently support its rapid growth.

You will leverage your deep understanding of network fundamentals alongside advanced methodologies like machine learning and AI. The goal is to scale forecasting, automate anomaly detection, and simulate complex capacity scenarios.

This is an opportunity to make a significant impact by blending technical expertise with strategic planning, ensuring high availability and resource efficiency across our global network. You'll work on products that empower businesses worldwide.

Lead complex, multi-disciplinary projects from conception to completion, collaborating with diverse stakeholders to define requirements and manage schedules.

Develop and refine forecasting models using machine learning and AI to enhance predictive accuracy, automate anomaly detection, and simulate various capacity scenarios effectively.

Address supply chain challenges by mitigating shortages, maintaining optimal inventory levels, and planning for significant peak traffic events.

Contribute to building AI-assisted automation for ordering and resource fulfillment processes, while also establishing key metrics to monitor fleet efficiency and demand attainment.

A Bachelor’s degree or equivalent practical experience is required, alongside a minimum of 5 years in program management.

Possess 5 years of experience in designing, constructing, or managing infrastructure projects, with a focus on creating infrastructure designs for data center networking spaces.

Demonstrate proficiency in network capacity planning, demand forecasting, and inventory optimization. Strong foundational knowledge of network infrastructure concepts, including routing, peering, CDN, and capacity placement is essential.

Experience with data modeling, trend analysis, statistics, and tools such as SQL and spreadsheet software is highly beneficial for synthesizing complex capacity metrics.