Technical Program Manager Iii, Resource Management, Youtube

Google Google · Big Tech · Mountain View, CA +1

Technical Program Manager III at Google YouTube, focusing on resource management for data center infrastructure (compute, networking, storage). The role involves planning, forecasting, and optimizing global fleet resources to balance product experience with cost objectives. Responsibilities include leading complex projects, managing schedules, identifying risks, partnering with engineering and SRE teams, and driving efficiency efforts. Experience with data analytics, distributed systems, and ideally ML infrastructure is required.

What you'd actually do

  1. Lead complex projects by working with stakeholders to plan requirements, manage schedules, identify risks, and communicate with cross-functional partners. Analyze usage trends and partner with engineers to estimate and acquire resources for feature launches while adhering to financial objectives.
  2. Act as process owner for internal TPU allocations, working with executive engineering leadership to ensure our TPUs are deployed in alignment with YouTube's key priorities. Triage resource-requests to fund new launches, system migrations, and infrastructure projects while maintaining appropriate supply buffers.
  3. Become a subject-matter-expert and consultant on technical and financial trade-offs in data-center resource management.
  4. Partner with YouTube Resource Management engineering to design and build tooling to help scale the planning process.
  5. Ideate efficiency opportunities to scale resources sublinear to demand growth and efficiency opportunities/ideas to reduce growth.

Skills

Required

  • program management
  • data analytics tools
  • reporting platforms
  • building distributed systems
  • automating distributed systems
  • developing distributed systems

Nice to have

  • cross-functional project management
  • resource management process
  • resource management tools
  • data center infrastructure resource planning
  • cost of resources
  • Machine Learning infrastructure

What the JD emphasized

  • technical expertise
  • technical tradeoffs
  • technical and financial trade-offs
  • technical field