About the company
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 30,000 businesses, from family-owned farms to e-commerce giants to space startups, have saved $2B and 20M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over $55 billion in purchases each year. Ramp’s investors include Thrive Capital, Sands Capital, General Catalyst, Founders Fund, Khosla Ventures, Sequoia Capital, Greylock, 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.
Job Summary
What You'll Do
📍Own the vision, strategy, and roadmap for Ramp’s card and billing platforms 📍Drive high-velocity execution with a world-class team of engineers and designers, balancing principled intuition with data-driven decision making 📍Marry customer insights with technical possibilities, crafting intuitive user experiences that abstract away complexity 📍Help thousands of finance teams on Ramp more successfully manage their finances by expanding the capabilities of our product 📍Prototype rapidly using tools like Cursor and Bolt to accelerate the product development lifecycle and fast-forward to production-ready products. 📍Stay deeply plugged into AI research, industry trends, and emergent applications, filtering signal from noise and applying it creatively to Ramp’s product
What You Need
đź“ŤBA/BS in a technical or analytical field đź“ŤMinimum 3 years product management experience đź“ŤStrong customer empathy and design thinking đź“ŤFluency in data and how to make data-driven product decisions đź“ŤExperience evaluating product decisions and prioritization trade-offs
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