Backend Engineer | AI Spend Management
Required skills
- backend services
- APIs
- AI spend visibility
- attribution
- insights
- controls
- integrations
- usage and billing information
- data models
- processing workflows
Nice to have
- usage metering
- billing
- spend management
- financial data products
- AI providers
- alerts
Role summary
Ramp is seeking a Senior Backend Engineer to build systems for AI spend management. This role involves designing and developing backend services, APIs, and integrations to provide customers with visibility, attribution, and controls for their AI and subscription spending. You will own projects from conception to production, ensuring data accuracy, reliability, and performance. The ideal candidate has strong system design judgment, experience with external data sources, and a track record of shipping high-quality software independently. Experience with financial data products or AI provider integrations is a plus.
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 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
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
What You’ll Need
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
A 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 a 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
Benefits available to all full-time Ramp employees (Global)
Flexible PTO
Centralized home-office equipment ordering
Health and wellness stipend
Budget for intra-office travel
Weekly coffee stipend
United States
100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
One Medical annual membership
401(k), including employer match on contributions made while employed by Ramp
Fertility HRA (up to $10,000 per year)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
Pet insurance
In-office perks: lunch, snacks, drinks, and more
Relocation expense coverage to NYC or SF (if needed)
Canada
Group medical, dental, and vision coverage through Sun Life
Life, AD&D, and disability coverage
Fertility drug coverage (up to $4,000 lifetime)
Group Retirement Plan with employer match (RRSP + DPSP)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
Employee Assistance Program and virtual care through Lumino Health
United Kingdom
Private medical insurance through Freedom Elite
Virtual GP and at-home care via eMed x Livi
Workplace pension through Penfold, with salary sacrifice option
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
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.
Ramp Applicant Privacy Notice
Sample Ramp interview questions
- 1
Design a workflow for Cache -> In Memory -> Distributed Storage -> Database flow
system designmedium - 2
Design an in-memory database with four levels. Only when you pass all tests from a previous level can you move on to the next level.
behavioralaverage - 3
Do you know how to parse XML with XSLT?
technicalaverage - 4
Tell me about the Vocabulary Extender and its relevance to speech-to-text technology.
technicalaverage - 5
Build a matrix game and keep score.
codingaverage
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