NPI Data Center Program Lead

Google; Lithia Springs (GA); On-site; USD 138,000 - 197,000; Full time

Job summary

Google is seeking a Technical Program Manager to lead complex, multi-disciplinary data‑center hardware deployment programs. You will coordinate cross‑functional teams, plan requirements, identify risks, and communicate clearly with executives and engineers to ensure on‑time delivery.

This role focuses on aligning product and infrastructure roadmaps to enable fast, scalable ML and accelerator deployments across Google’s data-center portfolio, with emphasis on power, space, cooling, and network

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.
• Experiencing managing the hardware New Product Introduction (NPI) life-cycle.

Responsibilities

• Manage project delivery while addressing data center constraints (e.g., power, space, cooling, operations, and network) in colocation data center deployments.
• Design and manage physical layouts, standards, and tooling requirements including assessment of deployment impact and feasibility of NPIs for planning and delivery.
• Build 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.

Skills

Program management

Data center infrastructure

Hardware NPI lifecycle

Education

Bachelor's degree in a technical field

Job description

Google is seeking a Technical Program Manager to lead complex, multi-disciplinary data‑center hardware deployment programs. You will coordinate cross‑functional teams, plan requirements, identify risks, and communicate clearly with executives and engineers to ensure on‑time delivery.

This role focuses on aligning product and infrastructure roadmaps to enable fast, scalable ML and accelerator deployments across Google’s data-center portfolio, with emphasis on power, space, cooling, and network