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Enforcement Detection Analyst

Google

Mountain View, CAJob$159–230K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$159–230K/yr
Location
Mountain View, CA
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Job overview

The Enforcement Detection Analyst joins YouTube’s Trust & Safety team to identify and remove disruptive content and users at scale. The role develops abuse-prevention strategies, responds to incidents, and works with engineering, product, and policy partners. It also uses large language models to improve abusive-content detection and classification. The work may involve exposure to graphic, controversial, or offensive video content during team escalations.

Skills & qualifications

RequiredNice to have

Skills

Data Analysis, requiredSQL, requiredR, requiredPython, requiredC++, requiredProject Management, requiredStakeholder Management, requiredLarge Language Models, requiredMachine Learning Systems, nice to haveTrust and Safety Abuse Detection, nice to haveGenerative AI, nice to haveProblem Solving, nice to haveAnalytical Ability, nice to havePrompt Engineering, nice to haveData Labeling, nice to haveIncident Response, nice to have

Qualifications

5 Years Data Analysis Experience, required5 Years SQL, R, Python, or C++ Experience, required5 Years Project Management Experience, requiredBachelor's Degree or Equivalent Practical Experience, requiredMaster's in Related Technical Field or Equivalent, nice to have5 Years Machine Learning Familiarity, nice to have5 Years Trust and Safety Abuse Detection Familiarity, nice to haveEnglish Proficiency, required

Full job description

Enforcement Detection Analyst

Share Enforcement Detection Analyst

corporate_fare Google place San Bruno, CA, USA; Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Enforcement Detection Analyst

info_outline

XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; Mountain View, CA, USA .

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 with one or more of the following languages: SQL, R, Python, or C++.

  • 5 years of experience managing and leading projects, defining project scope, goals, and deliverables, and working with multiple stakeholders.

  • Experience using Large Language Models (LLMs) to automate the detection and mitigation of platform abuse, including spam, phishing, or violative content.

Preferred qualifications:

  • Master's degree in Engineering, Computer Science, Mathematics, Statistics, a related technical field, or equivalent practical experience.

  • 5 years of experience or familiarity with machine learning systems.

  • 5 years of experience or familiarity with Trust and Safety scaled abuse detection.

  • Demonstrated track record of leveraging LLMs and generative AI technologies to solve business problems.

  • Developed problem-solving and analytical abilities with a proven history of going above and beyond to make operational improvements and solve complex problems.

About the job

Fast-paced, dynamic, and proactive, YouTube’s Trust & Safety team is dedicated to making YouTube 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 & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world.

As an Enforcement Detection Analyst on the YouTube Trust and Safety team, you will be directly responsible for ensuring that we effectively identify and remove disruptive content and users as quickly as possible, in an environment where hundreds of hours of new content is uploaded every minute, globally. You may also be exposed to graphic, controversial, and sometimes offensive video content during team escalations in line with YouTube’s Community Guidelines.

At YouTube, 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

  • Develop, implement, and lead strategies to enforce YouTube policies at scale, providing data-driven insights for effective abuse prevention using machine learning.

  • Collaborate closely with stakeholders and partners in engineering, product and policy to drive complex anti-abuse solutions.

  • Provide rapid incident response for abuse problems by operating independently, analyzing root causes, and implementing effective mitigation steps.

  • Master complex technical concepts and systems to deliver impactful results, communicating technical findings clearly to various audiences.

  • Design and refine prompts for Large Language Models (LLMs) to improve their accuracy in identifying and classifying abusive content through prompt engineering and data labeling.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

How this job compares

Set against the 5,076 open Data Analyst jobs on Olive Jobs, counted November 14, 2026.

Pay
  • This posting$159–230K/yr
  • California median$104–175K/yr271 salary ranges
  • US median$85–130K/yr3,432 salary ranges

This range's midpoint, $195K, is 41% above the California median midpoint ($138K) — in the top quarter of Data Analyst salary ranges in California.

Openings
Olive Jobs lists 390 open Data Analyst jobs in California and 5,076 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 5 years of experience; Data Analyst postings that state a minimum ask for 3 years at the median (4,007 postings).
Education
2,079 of the 5,076 open Data Analyst jobs (41%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 14, 2026. Figures based on too few postings are left out.

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