Technical Program Manager II, Data Center Infrastructure, YouTube
Salary
$138k–$197k/ annually
Application completed on Google
About This Role
MINIMUM QUALIFICATIONS:
* Bachelor's degree in a technical field, or equivalent practical experience.
* 2 years of experience in program management.
* Experience with capacity planning and management.
* Experience with Data Center Infrastructure.
PREFERRED QUALIFICATIONS:
* 2 years of experience managing cross-functional or cross-team projects.
* Experience in infrastructure capacity planning, resource allocation, and
long-range forecasting.
* Experience with Machine Learning Infrastructure.
* Experience working with data analytics tools and reporting platforms.
ABOUT THE JOB:
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: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* 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.
