$ cat jobs/staff-product-manager-data-and-analytics-pearlyplan-8b477615dafc.json
Staff Product Manager - Data and Analytics
ABOUT PEARLY Pearly is a high-growth B2B SaaS and payments company at a critical inflection point. With deep product-market fit and over 2,500 dental offices across DSOs, groups, and private practices on the platform, we're now looking for builders to help shepherd the next stage of growth. Because we're lean, you won't be inheriting legacy process or systems debt. You'll be building from a clean slate: leveraging process, technology, and AI in smart, creative ways to accelerate growth and productivity across dental billing, payments, and engagement. We are a team of high-talent, high-integrity people who genuinely enjoy the art of building and competing; honing our craft and getting better each day, both as individuals and as a team. We care deeply about good outcomes, but just as much about how we get there with smart, passionate people who hold each other to a high standard, move fast, and take pride in the work. That's what makes Pearly feel different. The caliber of the people and the intentionality behind how we operate. THE ROLE We're hiring a Staff Product Manager to own Data & Analytics: the reporting, dashboards, and financial intelligence that turn Pearly's data into something our customers can see, trust, and act on. It's one of the highest-leverage surfaces we have, and customers are already asking for more of it. The problems are real and concrete. Help RCM leaders drill into what's driving their Days Sales Outstanding, A/R aging, and where to act. Give CFOs the reporting they need to reduce debt reserves with confidence. Build the insights that drive downstream workflows, from collection-agency handoffs to the daily decisions of an office manager. This is financial intelligence that changes how a practice runs, not charts for their own sake. Staff means we trust you with the mandate and expect you to run. You're senior enough that you don't need product coaching, and seasoned enough to coach others. You'll operate independently on ambiguous, high-stak