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. Explore our Engineering Blog & Emerging Talent Blog to learn more about how we build at Ramp and what it's like to start your career here. About the Role Ramp is, at its core, an engineering company. We're looking for backend engineering interns (12 or 16-week co-ops) excited to solve challenging technical problems and ship products used by real customers. You'll work alongside experienced engineers and own meaningful projects from inception to production. We value strong technical fundamentals, high ownership, and people who learn quickly, whether or not they're familiar with our stack. What You'll Do Build performant, reliable, and scalable systems powering Ramp's products Own meaningful projects from design through launch Solve problems across areas like payments, risk and fraud, financial infrastructure, data, and AI Work closely with product and business teams to understand customer needs and improve our products Contribute to engineering tools and systems that help Ramp scale What You'll Need Currently pursuing a B.S. or higher in Computer Science or a related technical field, graduating December 2027 or later Strong computer science and programming fundamentals Track record of building and shipping high-quality products, features, or projects Ability to turn ambiguous product and business problems into engineering solutions Desire to learn quickly, take ownership, and work in a fast-paced environment Nice to Haves Experience with or interest in Python and backend development Familiarity with or desire to learn our stack, including Flask, PostgreSQL, Temporal, Elixir, and AWS Interest in fintech, AI, or building products at scale Compensation The monthly rate for this internship is $12,500 + a housing stipend. Ramp Benefits Apple MacBook Catered lunches and dinners in our NYC office Monday through Friday 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.

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