Identify business-to-users and users-to-business threats, working cross-functionally to design and build anti-abuse protections, influence safer-by-design product features, and advise on counter-abuse strategies and emerging trends.

Analyze data and emerging trends to identify new signals for scaled enforcement, leading projects to increase the adoption of AI/ML to improve operational efficiency and effectiveness.

Design and operate the full Trust and Safety funnel of review, enforcement, and appeals workflows; this includes ensuring effective policy implementation by drafting guidelines for reviewers and overseeing review and enforcement quality.

Provide abuse and policy expertise to Product, Engineering, and other cross-functional teams to support the development of automated enforcement solutions.

Monitor ecosystem performance against key metrics, investigate anomalies in spam trends to identify root causes, manage industry partner-experience trends, and manage executive escalations by providing timely, data- and content-driven insights.

Bachelor's degree or equivalent practical experience.

7 years of experience in data analytics, Trust and Safety, policy, anti-abuse messaging solutions, fraud/abuse investigations, risk management or a related field.