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Job Description
- Develop metrics and risk profiling frameworks to ensure safe feature launches across YouTube surfaces (VOD, Live, Shorts, Posts, etc.). Quantify and assess feature risks and drive right-size Trust and Safety (T&S) investments.
- Build automated data pipelines and investigation frameworks to monitor launch safety, detect emerging abuse, and show operations performance. Provide low-latency reporting and sampling strategies for high-risk feature launches.
- Collaborate with YouTube data science, engineer, and product partners to launch broader metrics infrastructure for new features and influence future roadmap.
- Support leadership with agile, ad-hoc data analysis and presentations. Translate complex business questions into actionable insights and narrate data stories to cross-functional partners.
- Design, build, and drive actionable insights on metrics that influence business decision-making for T&S’s cross-product safety team, synthesizing information to optimize performance and deliver execution.
