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 Fleet Infrastructure Team (FLINT) is focused on optimizing the value (as a function of cost, resiliency, sustainability, and agility) deliverable from Alphabet’s server floor footprint across all data center envelopes. This team shapes deployment design, testbed, and operations automation requirements to enable the cost-effective and reliable curation of the data centers, from concept through decom. We enable planning, piloting, orderability, and ramp of new technology (aka "NPIs"), ensuring alignment between future server hall design and the future fleet mix. We also drive transition strategy, planning, and execution at scale, across the entire lifecycle.

Within FLINT, the CAMP team is focused on aligning new products and technical infrastructure interface roadmaps to enable fast, predictable, and optimized deployment of heterogeneous machines for all product areas. This scope encompasses both Google’s own Data Centers and its presence in third-party colocation facilities. The team's goal is that every machine technology is optimally deployable across the entire fleet, including colocation sites, with touchless space, power, network, and cooling planning.

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are an upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

Responsibilities

• Support the delivery of large, complex projects, managing data center constraints (power, space, cooling, operations and network) in colocation data center deployments. This role in particular will have a focus on colocation NPI deployments, particularly for high-performance computing initiatives.

• Create and manage physical layouts and standards, including the deployment impact and feasibility of NPIs. Define and manage tooling requirements for planning and delivery.

• Own and nurture relationships between cross-functional teams. Track deployment workflows with partner teams and raise issues proactively to ensure on-time follow-through.

• Influence the development of NPI and colocation server floor design decisions, focused on upcoming fleetwide transitions in the ML and accelerator space. Build plans to help transition between successive product generations.

• Define standards and policies to simplify deployability of new ML and accelerator products, spanning TPU, GPU, and other product families.

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.

• 2 years of experience in program management.

• Experience with data center infrastructure like power, networking, and cooling.

• Experience with AutoCAD or Revit.

Preferred qualifications

• Bachelor's, Master's or PhD degree in Electrical, Civil, Architectural, or Mechanical Engineering.

• Experience managing data center constraints and knowledge of colocation data center physical layouts, infrastructure, and standards (power, space, cooling, operations and network).

• Experience with data center, networking and machine deployments, including understanding of deployment process and the ability to drive tools and automation for continuous process improvement.

• Experience with colocation capacity planning, including the use and automation of planning and optimization tools.

• Familiarity with new product introduction (NPI) process and Product Life Cycle (PLC), particularly as related to hardware products for machine learning and high-performance computing.