Innovate with purpose At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters. Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or working remotely, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks. BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person’s unique skills and experiences. We’d love to hear from you—you might be just what we’re looking for, whether in this role or another. ✨ Let’s give businesses more time for what matters. Make your impact within a rapidly growing Fintech Company We are looking for a talented, enthusiastic and dedicated Manager to join and lead Bill’s Card Compromise Fraud Risk team. The incumbent will be working on fraud strategy projects, managing data scientists, leading the collaboration between the Card Compromise Fraud Risk and Cross Functional teams related to key fraud risk department initiatives. The Manager will take the ownership of key end-to-end strategy associated with real-time fraud detection, transaction risk monitoring, etc. to support new and existing BILL Card products. This individual will also design experiments to understand the impact of customer experience when leveraging machine learning in complex risk strategy changes. This position requires a person who has experience with developing and implementing real-time fraud detection strategy and performing advanced analytics preferably in the risk domain and managing teams of data scientists.