Senior Backend Engineer - AI Spend & Billing Insights

Ramp; United States; Remote; USD 130,000 - 190,000; Full time

Job summary

Ramp is seeking a senior backend engineer to build the systems behind our Token Spend Management experience. You’ll own substantial projects from design through production, translate provider data into usable product experiences, and collaborate with product, design, data, and engineering partners.

You will be involved in key initiatives such as inference accounting and exploring new ways to help companies not just manage, but think about their AI Spend.

Qualifications

• 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 a solution simple.

Responsibilities

• 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
• Partner with product, design, data, and engineering teammates to turn customer needs into practical solutions
• Raise the engineering bar through thoughtful design reviews, code reviews, and mentorship

Skills

Backend system design

APIs

Data models

Reliability

Job description

Ramp is seeking a senior backend engineer to build the systems behind our Token Spend Management experience. You’ll own substantial projects from design through production, translate provider data into usable product experiences, and collaborate with product, design, data, and engineering partners.

You will be involved in key initiatives such as inference accounting and exploring new ways to help companies not just manage, but think about their AI Spend.