Technical Program Manager, Manufacturing Engineering, Data Centers

Google•Atlanta, GA

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. Google is revolutionizing the construction of hyperscale data centers, moving from traditional, multi-year, custom-built monoliths to a more agile approach of manufactured, modular, and just-in-time deployments. The Data Center Technology Solutions (DCTS) team is at the forefront of this transformation, driving innovation and efficiency across the design, engineering, manufacturing, and execution of these next-generation data centers. A core component of DCTS, the manufacturing function is tasked with developing the designs, robotics, processes, and systems necessary to facilitate this shift from conventional construction to a manufactured and just-in-time deployment model. This team collaborates extensively across Google Data Centers (GDC) and the broader Artificial Intelligence and Innovation (AI&I) organization. Their primary responsibility is to oversee the design and delivery of internally assembled and tested modular data centers, which will provide the essential capacity for all of Google's future needs. 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.

Requirements

Bachelor's degree in Engineering or a related technical field or equivalent practical experience.
5 years of experience in infrastructure, manufacturing or systems program management.

Nice To Haves

Advanced degree in Engineering, Electrical, Mechanical, or Industrial Engineering or a related technical field.
2 years of experience in program, project or product management or equivalent experience.
Experience in assembly manufacturing or manufacturing lines and in infrastructure projects, especially data center facility and product designs.
Ability to navigate ambiguity and succeed at a fast pace of change.
Ability to influence cross-functional team members and stakeholders.
Ability to travel data center locations as needed.

Responsibilities

Serve as the product manager for the in-house manufacturing capacity defining roadmap, manufacturing scope, translating scope to cross functional requirements across platforms, hardware operations, supply chain, data center design, construction and operations teams.
Own end-to-end technical program management and drive the manufacturing line technical scope across manufacturing line capacity and sizing, location identification, facility design, build-out execution and facility readiness.
Create manufacturing flow quality checkpoints, test plans, quality control and mitigation.
Drive technical program management of cross-functional manufacturing execution systems development across process flow transitions, work instructions, capacity management, parts ordering, testing and finished goods transactions.
Drive programmatic functions across product, manufacturing and supplier teams to drive similar efficiencies at the customer.
Drive program budgeting and purchase orders, program finance nuances, program schedule, programmatic risks/mitigations and performance of program to critical key performance indicators.