Senior Backend Engineer | Token Spend Management
Ramp is hiring a Senior Backend Engineer | Token Spend Management for a remote role open to applicants in United States. It pays $204k-$280k a year and Level rates it ; you can apply on Ramp.
Level's read on this job
- Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The listed pay starts 21% above the typical software engineer posting on Level.
- The posting lists this role as remote.
- Tools and skills the posting cites include Python, SQL and APIs.
- Level lists 166 other open roles at Ramp.
AI in this role
Senior backend engineer building spend management systems to track and attribute enterprise AI provider usage.
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 RoleRamp’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
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.
How we rate this
Senior Backend Engineer | Token Spend Management at Ramp rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $204k
- Typical software engineer job
- $168k
This posting starts 21% above the typical software engineer job. See software engineer jobs
Questions you could be asked
- Tell me about a project where backend engineering was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where system design was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Backend Engineering, Data Modeling, Distributed Systems, System Design, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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