Technical Program Manager I, Data Center Infrastructure, YouTube

Lead complex, multi-disciplinary projects from start to finish. Working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company.Triage resource requests submitted by service owners to fund new launches, system migrations, and infrastructure projects while ensuring YouTube holds appropriate supply buffers to maintain system health. Develop and support process and system improvements for better planning accuracy, with a focus on automation.Ideate efficiency opportunities to scale resources sublinear to demand growth as well Technical Program Manager (TPgM) efficiency opportunities/ideas to reduce resource growth.Partner with Google Technology Infrastructure and Data Center Deployment teams on a variety of data center planning activities ranging from long range data center footprint planning and power planning to near term machine and network build planning.Minimum qualifications:Bachelor's degree in a technical field, or equivalent practical experience. 1 year of experience in program management.Experience with Machine Learning Infrastructure.Experience managing programs and processes across distributed systems.Preferred qualifications:5 years of experience in program management.Experience in infrastructure capacity planning, resource allocation, and long-range forecasting.Experience working with data analytics tools and reporting platforms.Ability to be an influential member of a highly integrated team composed of both technical and non-technical members.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. Our space is highly complex and the YouTube Resource Management team addresses problems that have a tremendous impact across all YouTube engineering teams. Speed of execution and the rate of innovation in products serving systems, analysis pipelines, and other critical YouTube infrastructure are directly impacted by how resources are planned and provided. This role is responsible for generating capacity plans and supporting inorganic launches, and ensuring our product area is operating efficiently and within budget.In this role, you will be working with the company’s supply-chain teams to assess where machines can be built and deployed. In addition, you will be closely working with all engineering teams within the product area to assess and finalize the canonical growth plan. Creating dashboards, implementing process improvements, driving infrastructure projects, and maintaining footprint health are all within scope of this role. This is a full-time position based out of our Mountain View office.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $116000 - $165000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree in a technical field, or equivalent practical experience. 1 year of experience in program management.Experience with Machine Learning Infrastructure.Experience managing programs and processes across distributed systems.