Product Operations Specialist | Bill Pay

About the role

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.

What You'll Do

• Own the voice-of-customer loop for Bill Pay — systematically capture, analyze, and prioritize feedback from CX, Sales, and direct customer channels
• Partner with Product, Engineering, and Design to translate customer feedback into actionable product requirements and specs
• Directly ship product improvements (UX fixes and paper cuts) using AI tools — owning your own backlog of customer friction reduction, not just feeding the engineering backlog
• Use AI to automate processes and build products that enable teams to ship faster while maintaining a high quality bar
• Build scalable operating systems for release readiness, internal enablement, supportability, and issue escalation across Bill Pay workflows

What You Need

• 3+ years in product operations, product management, or a customer-facing analytical role supporting B2B SaaS; experience with payments, accounts payable, fintech workflows, or financial operations preferred
• Proficiency using data to size opportunities and analyze adoption, support trends, payment flow performance, and customer friction
• Comfort working in ambiguous, technically complex spaces and driving clarity across multiple stakeholders
• Strong problem solving, prioritization, and communication skills; bias to ship improvements quickly and measure impact
• Experience using AI tools (e.g., Claude Code) to accelerate your work and directly make product improvements