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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations.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 Senior Manager, Enterprise Data & Operations to lead the evolution of our foundational data architecture and build a world-class operations function. This is a hands-on leadership role that blends deep technical expertise, architectural thinking, data product management, and operational excellence. In this role, you will be accountable for the Enterprise Data & Operations pillar, owning the reliability, quality, and consistency of our core data models and pipelines. You will partner closely across Product, GTM, Engineering, and Business teams to ensure our data foundation is scalable, governed, and aligned to real business needs. You won't just manage the work—you will roll up your sleeves to set the technical direction, redesign foundational models, and drive the standard for data engineering excellence.