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Google

Software Engineering Manager II, YouTube

Google

Published 14 May 2026
Mountain View, CA, USA
207K - 300K USD Annual
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Python
C++
Java
JavaScript

Key skills

AI
NLP
Information Retrieval
Computer Science
UI
System Design
Technical Leadership
PhD
Search
Security
Data
Deployment
Infrastructure

Tools, Libraries and Frameworks

Mountain View

Description

The role involves providing technical leadership for major projects while managing a team of engineers. Responsibilities include setting team priorities, aligning strategy, and overseeing the development of technical roadmaps. The manager designs and vets system architectures while contributing to product strategy. Additionally, the role requires reviewing code to ensure adherence to best practices and providing coaching to team members. The position entails managing project goals and overseeing the deployment of large-scale projects across multiple international sites.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience, with a Master's degree or PhD preferred. The role requires at least 8 years of software development experience, 3 years in a technical leadership role, and 2 years in people management. Applicants should demonstrate expertise in owning outcomes, solving ambiguous problems, and influencing stakeholders. Additionally, 3 years of experience working in a complex, matrixed organization is preferred.

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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