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Google

Technical Program Manager III, NetInfra, Technical Infrastructure Program Management Office

Google

Published 16 May 2026
Sunnyvale, CA, USA
192K - 278K USD Annual
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Key skills

Machine Learning
Integrations
Product Development
Project Management
Distributed Systems
Software Systems
Program Management
Infrastructure
Deployment
Data
Switching
Reliability
Cloud
Operations
Research

Tools, Libraries and Frameworks

Vertex AI
GCP
TPU
GPUs

Description

The role involves leading complex, multi-disciplinary projects from inception to completion. Responsibilities include planning requirements, identifying risks, managing project schedules, and communicating with cross-functional partners. The individual will orchestrate the lifecycle of critical networking infrastructure, including accelerator and machine learning networks, switching architectures, and SmartNIC technologies. The position requires managing hardware, software, and networking deployments across various stakeholders. Additionally, the role involves defining strategies to address significant challenges and measuring success through business impact.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree in a technical field or equivalent practical experience. A minimum of 8 years of experience in program management is required. Applicants need expertise in network fabric solutions and launching data center solutions. The role also requires the ability to manage complex, multi-disciplinary projects and influence stakeholders.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

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