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Ramp is building smart infrastructure for finance teams, automating how over $275B in annualized spend flows through 85,000+ companies. The company handles payment authorization, risk flagging, spend categorization, and financial close processes.
The Token Spend Management team helps finance and technical teams understand and manage spending across AI providers and subscriptions. This new product pillar brings provider usage and billing information together, enabling customers to see cost sources, attribute spend, and act with greater confidence.
As a Senior Backend Engineer, you will own substantial projects from design through production. You'll build the systems behind the spend visibility experience, 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, and contribute to key company initiatives such as inference accounting and novel approaches to AI spend management.
Key responsibilities include:
- Design and build backend services and APIs supporting AI spend visibility, attribution, insights, and controls
- Build and improve integrations that ingest usage and billing information from supported providers
- Convert provider data into helpful structures for external customers and internal product consumers
- Create reliable data models and processing workflows ensuring spend information is accurate, traceable, and useful across the product
- Own projects from technical design through launch, monitoring, and iteration
- Improve system reliability, performance, and observability as customer usage and provider coverage grow
- Partner with cross-functional teams to turn customer needs into practical solutions
- Raise the engineering bar through thoughtful design reviews, code reviews, and mentorship
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 helping customers understand and manage spend
