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Design, build, and operate backend services, APIs, and data pipelines that ingest and transform AI provider usage and billing data, and own those projects from technical design through launch, monitoring, and iteration.
A senior backend engineer with proven experience building production APIs, data models, and asynchronous workflows, especially with external data integrations, and strong judgment on system design, reliability, and simplicity.
The role powers Ramp’s Token Spend Management product, giving finance and technical teams clear visibility and control over AI spend, a core pillar for helping customers manage billions of dollars in transactions.
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 Token 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 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
What You’ll Need
Nice to Haves
Benefits available to all full-time Ramp employees (Global)
United States
Canada
United Kingdom
Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
Other notices
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
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