Product Manager | Travel
RampNew York, NY (HQ); San Francisco, CAUp to $10kPosted 23 February 2026
Tech Stack
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 RoleAs the Lead Product Manager for Ramp Travel, you will own the vision, strategy, and roadmap for Ramp’s next generation of travel products—spanning core booking, traveler experiences, and upmarket solutions. Your mission is to create a travel experience employees actually love, while ensuring finance teams gain the control and efficiency they need. Your scope will include:Ramp Travel booking – evolving our booking platform into a best-in-class product that blends consumer-grade delight with business-grade control.Traveler experiences – building products that go beyond booking and spend, covering everything from travel policy and per diem to emerging use cases like group travel, offsite planning, and AI-powered concierge experiences.Upmarket solutions & partnerships – shaping how Ramp scales travel for larger, more complex organizations, whether through integrations, partnerships, or new platform models.In this 0→1 role, you’ll be responsible for finding product–market fit, making bold strategic bets, and building business lines with a GM-like mindset. You’ll experiment, prototype, and ship AI-powered workflows and agents that reimagine corporate travel—automating compliance, personalizing booking, and delivering experiences employees and finance teams can’t imagine going back from.We’re looking for someone passionate about redefining business travel: bringing the delight, simplicity, and personalization of the best consumer apps into the corporate setting. With the new possibilities AI unlocks, you’ll create innovative, intelligent experiences that make legacy approaches to business travel feel obsolete. You’ll partner closely with design, engineering, operations, and external partners to deliver a category-defining travel platform.What You'll DoOwn the vision, strategy, and roadmap for Ramp’s travel productsDrive high-velocity execution with a world-class team of engineers and designers, balancing principled intuition with data-driven decision makingMarry customer insights with technical possibilities, crafting intuitive user experiences that abstract away complexityPrototype rapidly using tools like Cursor and Bolt to accelerate the product development lifecycle and fast-forward to production-ready productsStay deeply plugged into AI research, industry trends, and emergent applications, filtering signal from noise and applyin ... (truncated, view full listing at source)
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