Tech Program Manager - ML & Cloud Networking

Google; Thornton (CO); On-site; USD 163,000 - 236,000; Full time

Job summary

Google is seeking a Technical Program Manager to lead network delivery for a Machine Learning portfolio within Google Cloud. You will own programs from planning through execution, coordinating with engineering, product, and operations to meet capacity and reliability goals.

You will drive cross-functional collaboration, manage NPIs in a fast-paced environment, and translate strategic capacity plans into timely, measurable deployments across global data centers.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of program management experience.
• Experience managing network delivery for ML product portfolios or global infra platforms.
• Experience with data center networking/infrastructure or NPIs.

Responsibilities

• Drive the day-to-day execution of the network delivery schedule, focusing on high-priority business objectives and critical capacity needs.
• Identify and resolve strategic execution blockers including materials, priority shifts, and resource constraints.
• Create high-signal status reports for GGI leadership and executive stakeholders, summarizing program status and the clear machine or cluster impact of anticipated delays.
• Identify workflow inefficiencies within the network delivery process and implement process improvements that increase delivery speed and predictability.
• Ensure high fidelity of network delivery data across systems.

Skills

Data center networking

New Product Introduction

Network delivery management

ML product portfolios

Global infrastructure

Education

Bachelor's degree in a technical field

Job description

Google is seeking a Technical Program Manager to lead network delivery for a Machine Learning portfolio within Google Cloud. You will own programs from planning through execution, coordinating with engineering, product, and operations to meet capacity and reliability goals.

You will drive cross-functional collaboration, manage NPIs in a fast-paced environment, and translate strategic capacity plans into timely, measurable deployments across global data centers.