Technical Program Manager, Spatial Flex, Program Management Office

Google Google · Big Tech · Sunnyvale, CA +1

Technical Program Manager for Google's AI and Infrastructure team, focusing on leading complex engineering programs related to AI/ML infrastructure, compute, storage, and ML hardware/software resource efficiency. The role involves managing project schedules, identifying risks, and communicating with stakeholders, with a preference for candidates with experience in machine learning platforms and systems.

What you'd actually do

  1. Lead large cross-cutting programs within infrastructure products and services.
  2. Develop strong partnerships with engineering and the Google product area, and deliver software products and services.
  3. Drive the delivery of software products while understanding reliability and efficiency tradeoffs, and customer adoption at scale.
  4. Scale the engineering program management function for the Compute infrastructure and Spatial Flex Program Management Office (PMO) team to address the highest priority needs of the business.

Skills

Required

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 10 years of experience in program management.
  • 7 years of experience in leadership roles with/without direct reports.

Nice to have

  • 10 years of experience managing cross-functional/team projects.
  • Experience in machine learning platforms and systems with knowledge of design and deployment of these systems.
  • Understanding of the software stack.
  • Excellent engineering program management skills, with the ability to successfully drive and land complex cross-functional programs in infrastructure efficiency in the area of compute, storage, and ML hardware/software resource efficiency programs for the data center.
  • Excellent communication and presentation skills with the ability to interact with both technical and non-technical audiences.

What the JD emphasized

  • extensive technical and leadership expertise
  • AI and Infrastructure team
  • AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity
  • cutting-edge AI models
  • essential platforms that enable developers to build the future
  • TPUs, Vertex AI for Google Cloud
  • infrastructure efficiency
  • ML hardware/software resource efficiency programs for the data center
  • machine learning platforms and systems
  • design and deployment of these systems
  • infrastructure efficiency in the area of compute, storage, and ML hardware/software resource efficiency programs for the data center