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Google

Engineering Analyst Manager, YouTube Trust and Safety

Google

Published 16 May 2026
San Bruno, CA, USA
189K - 274K USD Annual
Full Time
27500 - 275000 people

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Role Highlights

Languages used

SQL
Python

Key skills

Data Analysis
Data Mining
Data Science
Problem Solving
Trust & Safety
LLMs
Statistics
Quantitative
Modelling
DataSets
Automation
Malware

Tools, Libraries and Frameworks

Description

The role involves formulating strategies and implementing solutions to drive anti-abuse analytics and detection at scale. The manager leads a team of analysts to perform deep investigations and apply statistical methods to large, complex datasets. Responsibilities include creating and deploying classification solutions for abusive accounts, content, and behavior. The position requires collaborating with cross-functional partners in engineering, product, policy, and legal to address various abuse issues. Additionally, the role entails identifying abuse trends early and developing countermeasures to protect users.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. A minimum of 7 years of experience in data analysis and project management is required. Preferred qualifications include 2 years of management experience and expertise in classification systems, LLMs, and statistical modeling. Proficiency in translating quantitative insights into business strategies is also expected.

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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