About the role
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ 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 7.5% 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.
ABOUT THE ROLE
Ramp’s AI Spend Management team helps finance and technical teams understand and manage what they spend across AI providers and subscriptions. We are building the third pillar https://ramp.com/blog/ramp-at-44-billion-the-third-pillar of finance. The product brings provider usage and billing information together so customers can see where costs come from, attribute spend, and act on it with greater confidence.
We’re looking for a senior backend engineer to build the systems behind that experience. You’ll own substantial projects from design through production, turn data from different providers into dependable product experiences, and work with product, design, data, and engineering partners to make complex spend information useful to customers. You will be involved in key company initiatives such as inference accounting, and figuring out new and novel ways to help companies not just manage, but think about their AI Spend.
WHAT YOU’LL DO
- Design and build backend services and APIs that support AI spend visibility, attribution, insights, and controls
- Build and improve integrations that ingest usage and billing information from supported providers
- Taking the data from those integrations and converting it into helpful structures for external customers, and internal product consumers
- Create reliable data models and processing workflows that make spend information accurate, traceable, and useful across the product
- Own projects from technical design through launch, monitoring, and iteration
- Improve the reliability, performance, and observability of systems as customer usage and provider coverage grow