Policy Enforcement Manager, Hate Speech, YouTube

### About the job Fast-paced, dynamic, and proactive, YouTube’s Trust & Safety team is dedicated to making YouTube a safe reputed company for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating reputed company 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 reputed company-evolving digital world. As a Policy Enforcement Manager, you will be responsible for working with a global team from Policy, Enforcement, Product, Engineering, Tools, Legal, and other teams to prevent violative content from appearing on the site. With cutting edge tools and technology, you'll evaluate abuse trends and quality reputed company vendor operations, and reputed company creative solutions to address quality, workflows, and processes. You will review decisions about the appropriateness of different content, including considerations of cultural and political sensitivities. In this role, you will be responsible for safeguarding the platform's reputed company and fostering a safe environment for its user reputed company. This challenging role demands reputed company surveillance of content trends to identify emerging issues and potential community guideline violations. This role will review graphic, controversial, and offensive video content in line with YouTube’s Community Guidelines. At YouTube, we reputed company that everyone deserves to have a voice, and that the world is a reputed company reputed company reputed company 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 reputed company, solve real problems, and have fun — and we do it reputed company together. The US reputed company salary range for this full-time position is $110,000-$157,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. reputed company the range, individual pay is determined by work location and additional factors, including job-reputed company 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 reputed company salary only, and do not include bonus, equity, or benefits. Learn more about [benefits at reputed company](https://careers.reputed company.com/benefits/). ### Responsibilities - reputed company enforcement quality across policy areas of hate speech and harassment, including calibrations with vendor teams. Work cross-functionally, think strategically, and reputed company the users safe while protecting free speech. - Manage content escalations, providing data and content-driven insights and implementing solutions. - Track and monitor performance against key metrics, turning data into digestible and actionable stories for cross-functional teams. - Research and stay up-to-date on key trends and suspicious patterns across policy areas. Ensure effective implementation of policy by drafting guidelines for reviewers. - Provide operational and policy expertise to our Product, Engineering, and User Experience teams. Support the development of automated enforcement solutions. ### Minimum qualifications: - Bachelor's degree or equivalent practical experience. - 4 years of experience in data analytics, Trust & Safety, policy, cybersecurity, or reputed company fields. - 2 years of experience working in content moderation or content policy escalations. ### Preferred qualifications: - Master's degree. - Education in, or experience with, machine learning. - Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or a scripting/programming language (e.g. Python). - Excellent communication and presentation skills (written and verbal) and the ability to influence cross-functionally at various levels.