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Google

Technical Program Manager II, Tooling and Automation, Cloud Networking

Google

Published 16 May 2026
Austin, TX, USA
138K - 198K 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 start to finish. The individual will act as a bridge between physical delivery teams and software engineering teams to ensure the delivery ecosystem is technically sound and operationally efficient. Responsibilities include defining technical requirements, architecting technical logic, and creating automated workflows for capacity tracking and fiber design. The position requires direct involvement in coding and co-development with engineering teams to implement new features. Additionally, the role focuses on translating network engineering constraints into functional specifications and maintaining the stability of delivery tools.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree in a technical field or equivalent practical experience. The role requires at least two years of experience in program management and proficiency in one or more general-purpose programming languages. Applicants must have experience with GenAI and prompting techniques for automation. Preferred qualifications include two years of experience managing cross-functional projects and familiarity with data center network engineering.

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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