Software Engineer, Spend Management

Ramp
New York, NY (HQ)Posted 21 January 2026

Job Description

About RampAt 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.About the Spend Management TeamThe Spend Management team owns the core experience that helps finance teams control, automate, and optimize company spend.We build the engine that powers Ramp’s card and expense workflows—from card issuance and spend limits to approvals, policy enforcement, and real-time insights.Our systems handle billions of dollars in transactions and integrate deeply with Ramp’s AI platform, financial infrastructure, and partner ecosystems (banks, ERPs, HRIS).As a backend engineer on this team, you’ll work across product surfaces that are central to Ramp’s success: cards, approvals, spend controls, and automation intelligence.What You’ll DoDesign, build, and scale backend systems that power spend controls, approval workflows, and card transactions at massive scaleCollaborate cross-functionally with product, design, and data to deliver intelligent, user-first experiences for finance teamsIntegrate with Ramp’s internal AI platform to automate spend policy enforcement and anomaly detectionOwn complex projects end-to-end — from architecture to deployment and observabilityPartner with the Product Platform and Integrations teams to ensure reliability, scalability, and data consistency across financial systemsContinuously improve Ramp’s transaction and policy infrastructure for performance, accuracy, and resilienceWhat We’re Looking For2+ years of software engineering experience (backend or fullstack with a backend focus)Strong fundamentals in backend systems and API design — experience with Python, Go, or TypeScript is idealFamiliarity with PostgreSQL, AWS, and modern observability toolingProduct sense: ability to balance technical quality with speed and user valueCollaborative, thoughtful communicator who thrives in high-ownership environmentsNice to HaveFintech or payments experience (cards, reconciliation, transaction processing)Exposure to AI- or rule-based automation systemsExperience integrating with ERP or accounting systemsFamiliarity with security, risk, or compliance-driven domainsExperience building reliable distributed systems that process large volumes of financial or transactional dataBenefits (for U.S.-based full-time employees)100% medical, dental & vision insurance coverage for youPartially covered for your dependentsOne Medical annual membership401k (including employer match on contributions made while employed ... (truncated, view full listing at source)
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