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Engineering Analyst Manager, YouTube Trust and Safety

Job in San Bruno, San Mateo County, California, 94066, USA
Listing for: Google LLC
Full Time position
Listed on 2026-03-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Security
Salary/Wage Range or Industry Benchmark: 147000 - 216000 USD Yearly USD 147000.00 216000.00 YEAR
Job Description & How to Apply Below
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Minimum qualifications:

* Bachelor's degree or equivalent practical experience.

* 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

* 5 years of experience managing projects and defining project scope, goals, and deliverables.

Preferred qualifications:

* 2 years of experience in management.

* Experience with classification and ranking systems, LLMs, statistical modeling, data mining, and analyzing disparate datasets.

* Experience translating investigative insights into actionable business strategies and automation.

* Ability to persuade stakeholders across levels and lead innovation within multi-functional, international teams through product and policy knowledge.

* Excellent consultative, experiment design, and metrics analysis skills to drive projects to completion.

About the job

Fast-paced, dynamic, and proactive, You Tube's Trust and Safety team is dedicated to making You Tube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust and Safety team is on the front lines of enhancing the You Tube experience, building internet safety, and protecting free speech in our ever-evolving digital world.

As an Engineering Analyst Manager for You Tube Trust and Safety, you will be responsible for formulating strategies and implementing solutions to drive anti-abuse analytics and detection at scale within You Tube. You will work cross-functionally, engaging with stakeholders from policy, legal, engineering, data science, ranking, and product teams across a wide variety of abuse issues.

At You Tube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world.

We explore new ideas, solve real problems, and have fun - and we do it all together.

The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

* Lead a team of Engineering Analysts to perform investigations and apply advanced statistical methods to data sets spanning billions of events and thousands of features from data sources across the organization.

* Create and deploy solutions for classification of abusive accounts, content, and behavior using a variety of tools, features, and functions, including SQL, Python, and Large Language Models (LLMs).

* Collaborate closely with stakeholders and partners in engineering, product, policy, and legal to drive anti-abuse solutions involving and impacting various cross-functional areas.

* Formulate a practical, long-term strategy and goal; lead a small dedicated analyst team to cover a wide variety of business generation abuse vectors.

* Identify abuse trends and techniques early and develop and deploy anti-abuse countermeasures on a tight schedule, dealing with abuse at scale.
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