Senior Backend Engineer | Token Spend Management
Ramp · New York, NY (HQ)
- Location
- New York, NY (HQ)
- Workplace
- Remote
- Employment
- Full time
- Level
- Senior
- Posted
- 20 October
About this role
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 $200B in annualized spend flows in and out of 70,000+ 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 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 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.
As published by Ramp. Applications are handled on their site.
Skills this posting mentions
About Ramp
Ramp is an all-in-one financial operations platform designed to save businesses time and money. Combining corporate cards, expense management, bill payments, accounting automation, procurement, travel, treasury, and more, Ramp empowers finance teams to do their best work. More than 70,000 companies, from family-owned farms to space startups, have saved $10B and 27.5M hours with Ramp since its founding in 2019. Investors include Founders Fund, Thrive Capital, Khosla Ventures, Sequoia, Greylock, Stripe, Goldman Sachs, Coatue, and Redpoint, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies - Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One - as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp has been named to Fast Company's Most Innovative Companies list and LinkedIn's Top U.S. Startups for over 3 years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine's 100 Most Influential Companies. Visit our website for a full list of US state licenses & disclosures: https://ramp.com/legal/state-disclosures
All 172 openings at RampOne click, then it is written
Apply to Ramp with a resume written for this role.
Queue Senior Backend Engineer | Token Spend Management and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Ramp’s form for you.
01Drop your resume
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Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
500 free credits on sign-up. No card. Nothing is sent until you say so.
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