Job Description
The Policy Enforcement Manager reviews and enforces policies against graphic violence content on video platforms. This protects YouTube users and creators by mitigating harmful materials per community guidelines. Analyzing abuse trends involves tools like machine learning and dashboards for data visualization and SQL queries.
YouTube, part of Google, provides a platform for global content creation and sharing, emphasizing safety and free speech. The Trust and Safety team navigates legal frameworks to maintain a safe environment for billions of users. Google's services support communities through stories and connections worldwide.
Responsibilities include researching suspicious patterns, analyzing data with machine learning, prioritizing strategies for harmful content removal. Managers oversee vendor calibration, track metrics with dashboards, and review controversial videos on weekends. Collaboration happens with engineering, legal, and product teams for automated solutions. The role requires handling sensitive graphic content and on-call duties during holidays.
The US base salary range equates to $132,000-$194,000, plus bonus, equity, and benefits. Full-time work follows patterns that may include evenings and holidays. Benefits encompass health coverage and skills training at Google.
Responsibilities
- Provide data and content-driven insights and implement solutions. Provide timely updates to executives
- Research and stay up to date on key trends and suspicious patterns across policy areas. Analyze, identify, prioritize, and deliver strategies to reduce potentially harmful content. Ensure effective implementation of policy by drafting guidelines for reviewers
- Oversee enforcement quality across policy areas, including calibrations with vendor teams. Work cross-functionally, think strategically, and keep the users safe
- Track and monitor operational performance against key metrics, turning data into digestible and actionable stories for cross-functional teams; deliver and implement improvement strategies
- Provide operational and policy expertise to our Product, Engineering, and other cross-functional teams. Support the development of automated enforcement solutions
Requirements
- Bachelor's degree or equivalent practical experience
- 7 years of experience in data analytics, trust and safety, policy, cybersecurity, or related fields
- Master's degree or PhD in a relevant field
- Experience with machine learning
- Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or in a scripting/programming language (e.g., Python)
- Excellent written and verbal communication and presentation skills, with the ability to influence cross-functionally at various levels