Technical Program Manager II, Capacity Constraints Management, Cloud Infrastructure

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.

In this role, you will help the team plan the future of Google’s ML and accelerator deployments. As the Technical Program Manager, you will help with new product enablement focused on the deployability of new products and the server floor designs required to facilitate them.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

• Support the delivery of projects, managing data center constraints (e.g., power, space, cooling, operations, and network) in colocation data center deployments.
• 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 support relationships between cross-functional teams, track deployment workflows with partner teams, and raise issues to ensure on-time follow-through.
• Influence the development of new products (NPI) and colocation server floor design decisions, focused particularly on upcoming fleetwide transitions in the ML and accelerators space.
• Drive the development of new tools and decision-making frameworks for optimizing fleet life-cycle.