Technical Program Manager III, Infrastructure, Resource Management, YouTube

Google • Mountain View, CA

23h • $163,000 - $237,000

About The Position

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.

The YouTube Resource Management team addresses problems that have an impact across all YouTube's (YT) Engineering teams. Speed of execution and the rate of innovation in products serving systems, analysis pipelines, and other critical YT infrastructure are directly impacted by how resources are planned and provided.

In this role, you are responsible for generating capacity plans and supporting inorganic launches, and ensuring our product area is operating efficiently and within budget. You will be working with the company’s supply-chain teams to assess where machines can be built and deployed. Creating dashboards, implementing process improvements, and driving infrastructure projects.

As part of YT Resource Management, you will be a primary Point of Contact (POC) for forecasting, planning, and allocation of capacity needs across the product area, and function as a liaison between Google's Technical Infrastructure team, Global Deployment/Supply Management, Capacity Infra, and YT Engineering teams to ensure that proper financial accountability yields launches and growth for our products. This team is focused on guiding efficiencies to ensure resources are used effectively.

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.

The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google [https://careers.google.com/benefits/].

Requirements

• Bachelor's degree in a relevant field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience in infrastructure resources (e.g., compute/storage/accelerators) management from demand forecasting to distribution of those resources to manage product growth in data center environments.
• Experience in SQL and data modeling to build demand-forecasting tools and analyze infrastructure utilization.

Nice To Haves

• 5 years of experience managing cross-functional or cross-team projects.
• Experience in forecasting methodologies.
• Experience using AI technologies to improve productivity and data accuracy.
• Experience managing multiple resource management constraints at the same time.

Responsibilities

• Lead complex cross-resource forecasting, including assessing models and defining roadmaps for non-ML resources across near-term (7day) and longer-term (18-month) horizons.
• Integrate organic growth of key business drivers, known inorganic demand, and other factors seamlessly and transparently
• Act as a subject-matter expert and consultant on technical and financial tradeoffs in data center resource management.
• Align stakeholders inside and outside YouTube on forecast methodologies and results.
• Partner with Engineering and Data Science teams in and outside of YouTube to design and build tooling to scale planning processes and ideate/drive efficiency opportunities to achieve sublinear resource growth.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level