Technical Program Manager, ML Fleet Systems

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 8 years of experience in program management.
  
• 8 years of experience in project management, change management, stakeholder alignment, and execution.
• Experience working within an Engineering organization's Software Development Life Cycle (SDLC) and with Agile methodologies.

Preferred qualifications:

• MBA or Master's degree in a technical field.
• 8 years of experience managing cross-functional or cross-team projects.
• 5 years of experience in resource management for hardware infrastructure, particularly for compute, storage, networking, or specialized accelerators.
• Experience with Agile sprint process management, engineering backlog ownership, and translating technical problems into clear, executable program plans.
• Ability to understand the intricacies of technical systems, specifically within the ML Fleet or systems landscape.
• Excellent verbal and written communication skills, with the ability to synthesize technical data for technical, non-technical and executive consumption.

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.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities

• Guide and optimize programs that often reach beyond the immediate organization of driving consistency, efficiency, and economies of scale in the ML Fleet ecosystem.
• Serve as the technical authority and liaison for the ML Fleet landscape (e.g, TPUs, GPUs, compute, storage, networking), driving collaboration with Onefleet, Spatial Flex, ODS, and others to build engineered solutions, and translating technical progress into clear customer expectations.
• Work with Technical Leads (TLs) for Demand Planning and Capacity Management, conduct in-depth analysis of the ML Fleet landscape, and report on the progress and readiness of systems being built to support these critical functions.
• Collaborate with leadership to forecast headcount needs and strategically adjust resource allocation according to changing engineering requirements.
• Work in close partnership with the Planning and Capacity Management team to ensure a smooth delivery of systems and automation.