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 complex 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.

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

1 year of experience in people management, leading a team.