Global Quality Program Manager, Law Enforcement Operations - Trust and Safety

About the Team Our Trust & Safety team's commitment is to keep our online community safe. Within Trust & Safety, our Law Enforcement Operations team (LEO), consists of the Emergency Response Team (ERT), the Child Safety Team (CST), the Law Enforcement Response Team (LERT), the Extreme Risk Operations Team (ERO) and the Intellectual Property Team (IP). These teams handle some of the most critical and time-sensitive operations on the platform.

About the Role We are looking for a motivated, highly-analytical, and technically proficient Quality Program Manager . In this role, you will work with other internal teams to design, build, and scale a next-generation Quality Assurance (QA) and Compliance program. You will be responsible for safeguarding our most sensitive operational workflows—including Emergency Disclosures to Law Enforcement, standard Law Enforcement Disclosures, Child Safety operations (including NCMEC reporting), Extreme Risk Operations (ERO) and Intellectual Property (IP) Operations

You will leverage AI, machine learning, and automation to build automated auditing systems that continuously assess our end-to-end operational workflows help to detect anomalies or compliance risks in real-time, and drastically mitigate business, legal, and regulatory risks.

Responsibilities What will I be doing? - Architect the Quality Program in collaboration with cross functional partners: Design and implement a comprehensive scabable global quality framework specifically tailored for high-risk operations (LERT, ERT, CST, NCMEC reporting and IP operations). - Build Automated QA Tools: Partner directly with Product, Engineering, and Data Science teams to design, develop, and deploy internal AI-driven quality monitoring and auditing tools. - Implement Anomaly Detection: Build innovative, scaled methods to detect and address quality warning signals across our end workflows. - Mitigate Critical Risks: Proactively identify systemic vulnerabilities to prevent high risk quality failures that could impact the integrity of our operations and stakeholder trust. - Perform Root Cause Analysis: Lead deep-dive investigations into quality failures or "near-misses," identifying root causes and implementing corrective and preventive action plans. - Create Data-Driven Insights: Build automated dashboards and reporting pipelines to provide leadership with real-time visibility into compliance health and quality trends. - Maintain Feedback Loops: Translate automated QA findings into actionable feedback, partnering with Team Leads to update training materials, operational policies, and standard operating procedures (SOPs). - Ensure Regulatory Compliance: Ensure all quality processes strictly align with global data privacy laws (e.g., GDPR), legal frameworks, and child safety regulatory requirements.