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Ramp is building smart infrastructure for finance teams, automating how over $200B in annualized spend flows through 70,000+ companies. The Token Spend Management team helps finance and technical teams understand and manage spending across AI providers and subscriptions, bringing together provider usage and billing information so customers can see where costs originate, attribute spend, and act with greater confidence.
In this role, you will own substantial projects from design through production, turning data from different providers into dependable product experiences. You'll work closely with product, design, data, and engineering partners to make complex spend information useful to customers. Key responsibilities include designing and building backend services and APIs that support AI spend visibility, attribution, insights, and controls; building and improving integrations that ingest usage and billing information from supported providers; converting integration data into helpful structures for external customers and internal product consumers; creating reliable data models and processing workflows that ensure spend information is accurate, traceable, and useful across the product; owning projects from technical design through launch, monitoring, and iteration; improving system reliability, performance, and observability as customer usage and provider coverage grow; partnering with cross-functional teams to turn customer needs into practical solutions; and raising the engineering bar through thoughtful design reviews, code reviews, and mentorship.
You will be involved in key company initiatives such as inference accounting and developing novel ways to help companies not just manage, but think strategically about their AI spend.
REQUIREMENTS:
- Experience designing, building, and operating production backend systems, including APIs, data models, and asynchronous workflows
- Strong judgment about system design, data correctness, reliability, and when to keep solutions simple
- Track record of independently owning complex projects and shipping high-quality software
- Experience working with external data sources or integrations where data quality and changing interfaces matter
- Comfort working through ambiguous product problems with cross-functional partners
- Clear communication and collaborative approach to technical decisions and feedback
NICE TO HAVES:
- Experience with usage metering, billing, spend management, or financial data products
- Experience integrating with AI providers or other third-party usage and billing APIs
- Experience building attribution, alerts, limits, or other systems that help customers understand and manage spend
