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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations.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. We're remote-first, with office spaces in San Jose, CA and Draper, UT — and opportunities to connect in person when it counts. 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
You will be the analytics owner for BILL's payments products within Payments and Financial Services (PFS), covering payment conversion and failures, card and pay-by-card, settlement, and monetization.
This is not a role that runs the analyses Product hands you. You will find what Product did not know to ask: the failure pattern quietly eroding conversion, the manual step that should be automated, the deep dive that changes a roadmap call. Your work is measured by the product and roadmap decisions it drives.
You will set the analytics agenda for payments, define the KPIs the business runs on, and build the production-grade data models behind them. You will partner directly with Product, Engineering, Product Marketing, Finance, and GTM leadership, with real ownership and executive visibility from day one.
Responsibilities- Set the analytics agenda for Payments. Find product opportunities, data gaps, and automation candidates across payment methods, and bring them to Product as recommendations that shape the roadmap.
- Own the Payments analytics relationship. Define metrics and OKRs, run a standing review cadence with Product, and drive a deep-dive practice.
- Run experiments and apply causal inference, so recommendations rest on what moved a metric, not on correlation.
- Build and maintain production-grade data models in dbt with tests, documentation, and version-controlled workflows.
- Build with AI-assisted workflows by default, and automate recurring reporting to free your time for higher-value work.
- Drive executive reporting and its adoption across leadership and Product.
- Present with confidence to senior stakeholders, and hold your ground when a metric is contested.
- Partner with data engineering and finance to validate data quality and metric definitions, reconcile payment data against source systems, and fix documentation-to-logic drift when you find it.
- 5+ years in product analytics, data science, or a related quantitative field, owning a domain end to end.
- A track record of self-directed work: finding high-impact problems and shipping the fix.
- Advanced SQL and strong Python.
- Production experience with dbt or similar: models, tests, documentation, version-controlled review.
- Fluency in experimentation and causal inference, and the judgment to know when an experiment is the right tool.
- Genuine AI-native fluency. You already build with agentic coding tools, and you know from experience where their output can and cannot be trusted.
- The judgment to turn an ambiguous question into a metrics framework, and the spine to defend it.
- Data storytelling that turns a complex finding into a decision a product team acts on.
- Nice to have: experience with payments, fintech, or marketplace data, such as payment rails, settlement and reconciliation, fraud and risk signals, or pricing and monetization.
- Set the analytics agenda for Payments. Find product opportunities, data gaps, and automation candidates across payment methods, and bring them to Product as recommendations that shape the roadmap.
- Own the Payments analytics relationship. Define metrics and OKRs, run a standing review cadence with Product, and drive a deep-dive practice.
- Run experiments and apply causal inference, so recommendations rest on what moved a metric, not on correlation.
- Build and maintain production-grade data models in dbt with tests, documentation, and version-controlled workflows.
- Build with AI-assisted workflows by default, and automate recurring reporting to free your time for higher-value work.
- Drive executive reporting and its adoption across leadership and Product.
- Present with confidence to senior stakeholders, and hold your ground when a metric is contested.
- Partner with data engineering and finance to validate data quality and metric definitions, reconcile payment data against source systems, and fix documentation-to-logic drift when you find it.
- 5+ years in product analytics, data science, or a related quantitative field, owning a domain end to end.
- A track record of self-directed work: finding high-impact problems and shipping the fix.
- Advanced SQL and strong Python.
- Production experience with dbt or similar: models, tests, documentation, version-controlled review.
- Fluency in experimentation and causal inference, and the judgment to know when an experiment is the right tool.
- Genuine AI-native fluency. You already build with agentic coding tools, and you know from experience where their output can and cannot be trusted.
- The judgment to turn an ambiguous question into a metrics framework, and the spine to defend it.
- Data storytelling that turns a complex finding into a decision a product team acts on.
- Nice to have: experience with payments, fintech, or marketplace data, such as payment rails, settlement and reconciliation, fraud and risk signals, or pricing and monetization.
Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.
#LI
Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed below. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits. The estimated salary ranges noted below roles in the specific geographic zones
What’s in it for you?
Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn’t only experienced by our customers, but by our employees as well.
Here is a preview of some of the amazing benefits here at BILL:
- 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)
- HSA & FSA accounts
- Life Insurance, Long & Short-term disability coverage
- Employee Assistance Program (EAP)
- 11+ Observed holidays and wellness days and flexible time off
- Employee Stock Purchase Program with employee discounts
- Wellness & Fitness initiatives
- Employee recognition and referral programs
- And much more
Don’t believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages.
BILL is an Equal Opportunity Employer. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture.
We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact [email protected]. To ensure a fair evaluation, our Candidate Integrity Policy prohibits the use of unapproved external assistance, including generative AI, during live interviews or assessments. Doing so will result in a review and potential disqualification.
Our Applicant Privacy Notice describes how BILL treats the personal information it receives from applicants.
Similar Jobs
What you need to know about the Los Angeles Tech Scene
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
