Manager, Safety Analytics

<div class="content-intro"><p>Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: <strong>play video games.</strong> Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games.</p></div><p>Discord exists to give people the power to create space to find belonging — to talk regularly with the people they care about and build genuine relationships with friends and communities close to home or around the world.</p> <p>We're looking for an Analytics Manager to lead our Scaled Abuse Countermeasures and Research (SCAR) team — the team that safeguards Discord’s platform integrity. SCAR detects, analyzes, and disrupts high-volume threats through a combination of automated systems, deep research, and active incident response. This role reports to the Head of Safety Intelligence and Automation.</p> <p><strong>What You'll Be Doing</strong></p> <ul> <li>Lead and mentor a team of data analysts, scientists, and researchers who investigate active threats, identify platform abuse vectors, and uncover adversarial patterns.</li> <li>Define a strategic roadmap that prioritizes and disrupts the highest impact abuse operations through structured research, rigorous analyses, and live experimentation.</li> <li>Collaborate closely with the safety machine learning team to improve models by identifying the threat signals that translate into long-term, automated countermeasures.</li> <li>Partner cross-functionally with Product, Engineering, Data Science, Policy, Legal, and Revenue, influencing safety-by-design decisions upstream of abuse.</li> <li>Influence capacity toward high-impact infrastructure, such as automated rule engines, ML models, or agent moderation tools.</li> </ul> <p><strong>What you should have</strong></p> <ul> <li>2+ years of people management experience leading technical teams, including engineers, data scientists, analysts, applied researchers, or equivalent.</li> <li>4+ years of experience working in a Trust &amp; Safety domain, such as fraud, spam, scams, account compromise or other high-volume threats.</li> <li>Fluency in SQL and/or Python for data investigation and pattern analysis.</li> <li>Strong analytical problem-solving skills, with expertise in measurement and experimentation.</li> <li>Demonstrated ability to drive automation adoption within operations or incident response workflows that increase the team's leverage and reduce manual work.</li> <li>Excellent communication and cross-functional collaboration skills, with an ability to tr