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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations.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 in a remote-eligible role, 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.

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 Join BILL as a Staff Data Analyst and help shape the future of AI-native financial management for small and midsize businesses.

AI, our platform's AI program and shared foundation, working alongside product, engineering, and design leaders to define what success looks like as we transform BILL from a "do-it-with-me" tool into a "do-it-for-you" platform. This role sits at the intersection of a genuinely new product domain and a cross-functional analytics challenge. You will be defining metrics for AI-powered workflows that do not have established benchmarks, measuring accuracy and trust in a domain where both are critical, and helping teams across Payments, Growth, and AP Product align around a shared understanding of how AI is performing across the BILL platform.

The right candidate brings the rigor of a seasoned analyst, the technical depth to build AI-powered analytics systems, and the curiosity of someone energized by ambiguity and first-principles thinking.

Responsibilities

AI, establishing the KPIs that matter: automation rates, no-touch workflow completion, AI accuracy, customer trust signals, and engagement across interaction channels including in-product, SMS, and Slack. Conduct deep-dive analyses that go beyond surface-level dashboards, decomposing the drivers behind AI adoption and drop-off, identifying where the platform is building customer trust and where it is losing it, and surfacing findings that directly inform roadmap prioritization. Build AI-augmented analytics systems that scale insight generation across the program, including LLM-powered tooling for synthesizing qualitative signals, automating insight extraction, and surfacing patterns that traditional analytics methods cannot efficiently capture at volume.

Serve as the analytical connective tissue across the AI program, working cross-functionally with teams spanning Integrated Experiences, APARAC Product, Payments, and Growth to ensure consistent metric definitions, avoid duplicated instrumentation, and enable reliable self-serve analytics. Design and analyze experiments in new territory, building frameworks that allow teams to run rigorous tests even where there is no historical precedent, including studies of automation acceptance, AI transparency, and interaction model preferences. Build scalable, reusable analytics infrastructure including dbt models, dashboards, and standardized metric definitions that serve multiple teams and reduce duplicated work across the analytics organization.