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At Ramp, we’re rethinking how modern finance teams function in the age of AI. We believe AI isn’t just the next big wave. It’s the new foundation for how business gets done. We’re investing in that future — and in the people bold enough to build it.
Ramp is a financial operations platform designed to save companies time and money. Our all-in-one solution combines payments, corporate cards, vendor management, procurement, travel booking, and automated bookkeeping with built-in intelligence to maximize the impact of every dollar and hour spent. More than 50,000 businesses, from family-owned farms to e-commerce giants to space startups, have saved $10B and 27.5M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over $100 billion in purchases each year.
Ramp’s investors include Lightspeed Venture Partners, Thrive Capital, Sands Capital, General Catalyst, Founders Fund, Khosla Ventures, Sequoia Capital, Greylock, Redpoint, and ICONIQ, 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 more than 3 years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine’s 100 Most Influential Companies.
Ramp is redesigning how businesses manage spend - and the backbone of that vision is clean, auditable, real-time accounting infrastructure. The Accounting Engineering team is building the systems that ensure every transaction and automation maps back to accurate financial statements.
We’re looking for a mid-to-senior level backend engineer who thrives in complex systems, cares deeply about data integrity, and wants to shape how finance teams interact with modern software. You’ll help us save customers time and money and support Ramp’s transformation into the AI-powered finance platform of the future.
Own backend services that power Ramp’s accounting platform, syncs, and rules engine.
Build scalable systems that process millions of transactions across card, bill pay, reimbursements, treasury, and more
Lay the technical foundation for AI agents to suggest and enforce accounting categorizations
Improve internal developer tooling and interfaces to accelerate our team
Uphold the highest standards around correctness, observability, and auditability
3+ years of backend engineering experience, ideally in fintech, accounting tech, or transactional systems
Experience designing and maintaining distributed systems with high data integrity requirements
Strong understanding of system design, reliability engineering, and service observability
Fluent in Python or a comparable modern backend language
Comfort working closely with accounting teams and product stakeholders to translate business needs into clean code
Passion for building infrastructure that balances precision, performance, and extensibility
Background in compliance-heavy systems or regulated domains
Familiarity with financial integrations (e.g. NetSuite, QuickBooks, Oracle)
Interest in working with AI/ML teams on intelligent accounting features
A desire to move fast but hold the line on accuracy, especially when real dollars are involved
100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
One Medical annual membership
401k (including employer match on contributions made while employed by Ramp)
Flexible PTO
Fertility HRA (up to $5,000 per year)
WFH stipend to support your home office needs
Wellness stipend
Parental Leave
Relocation support to NYC or SF (as needed)
Pet insurance
If you are being referred for the role, please contact that person to apply on your behalf.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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