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Google

Technical Program Manager III, Tooling and Automation, Cloud Networking

Google

Published 14 May 2026
Austin, TX, USA
163K - 237K USD Annual
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Java
C++
Python
JavaScript
GO

Key skills

Prompt Engineering
API
Product Development
Program Management
Automation
Cloud
Data
SRE
Architecture
Infrastructure

Tools, Libraries and Frameworks

Description

The role involves leading complex, multi-disciplinary projects related to data center network rollouts from inception to completion. The individual acts as a bridge between physical delivery teams and software engineering or site reliability engineering teams. Responsibilities include architecting technical logic, validation rules, and automated workflows for capacity tracking and fiber design. The position requires direct involvement in coding and co-development with engineering teams to ensure precise implementation. Additionally, the role focuses on defining technical requirements and business logic for internal tool ecosystems to support network delivery.

Required Qualifications and Skills

Candidates must possess a bachelor's degree in a technical field or equivalent practical experience. A minimum of five years of experience in program management is required. Proficiency in at least one general-purpose programming language and experience with GenAI and prompting techniques for automation are necessary. Preferred qualifications include five years of experience managing cross-functional projects and familiarity with data center network engineering and automation tools.

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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