Product Operations Specialist | Bill Pay
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Overview
Ramp is seeking a Product Operations Specialist to enhance workflows for Bill Pay, focusing on customer experience and operational efficiency. This role involves collaboration with Product and Engineering teams to implement feedback and improve processes. 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. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
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
- •Own launch operations for new Bill Pay features as they move from Alpha to GA
- •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
Benefits Available to All Full-Time Ramp Employees (Global)
- •Flexible PTO
- •Unlimited AI token usage
- •Centralized home-office equipment ordering
- •Health and wellness stipend
- •Budget for intra-office travel
- •Weekly coffee stipend
United States
- •100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- •One Medical annual membership
- •401(k), including employer match on contributions made while employed by Ramp
- •Fertility HRA (up to $10,000 per year)
- •Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- •Pet insurance
- •In-office perks: lunch, snacks, drinks, and more
- •Relocation support to NYC or SF (as needed)
Canada
- •Group medical, dental, and vision coverage through Sun Life
- •Life, AD&D, and disability coverage
- •Fertility drug coverage (up to $4,000 lifetime)
- •Group Retirement Plan with employer match (RRSP + DPSP)
- •Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- •Employee Assistance Program and virtual care through Lumino Health
United Kingdom
- •Private medical insurance through Freedom Elite
- •Virtual GP and at-home care via eMed x Livi
- •Workplace pension through Penfold, with salary sacrifice option
- •Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
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
- •Ability to translate qualitative feedback into crisp requirements and operational processes
- •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