The board
- Where
- San Francisco Bay Area
- Posted
- Sep 3
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: play video games. 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.
Discord's Payments, Fraud & Risk team enables revenue growth and protects Discord's financial health by managing payments optimization and fraud risk as a strategic function.
What you'd do
- Own high-scale fraud detection and mitigation, payments operations, and risk assessment within your assigned area end-to-end — from strategy through execution and post-launch measurement
- Lead high complexity fraud investigations, perform root cause analyses, and translate findings into concrete proposals for rule improvements and cross-functional action
- Write SQL queries to analyze fraud and payments data, and build reporting and monitoring dashboards and alerts (e.g., Mode, Datadog) that track performance and inform decision-making
- Program manage cross-functional initiatives with Engineering, Legal, Payments Strategy, Product, Revenue, and other partners — setting milestones, managing dependencies, and driving delivery
- Contribute to risk assessments for new product launches, identifying fraud exposure early and executing mitigation strategies
- Communicate the business impact of your work to cross-functional stakeholders — pre, during, and post-launch — adjusting level of detail based on audience
- Mentor junior team members and contribute to team-wide quality and knowledge sharing
- 4–5+ years of experience in payments, fraud, or risk operations, with direct, hands-on exposure to card network rules, chargebacks, and dispute processes
- Deep working knowledge of payments flows, card network rules (Visa, Mastercard, Amex, etc.), and chargeback/dispute processes
- Proficiency in SQL, with hands-on experience querying and analyzing large datasets to drive fraud and payments decisions