AI Solutions Strategist

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. About the Role As an AI Solutions Strategist, you will sit at the intersection of customers, AI delivery, and Ramp’s core product teams. You will partner with enterprise/strategic customers to deeply understand their finance workflows—especially corporate finance and controllership priorities like close, controls, and spend governance—identify high-impact opportunities for AI and automation, and translate those needs into clear problem statements, solution designs, and actionable feedback for Ramp’s Product, Engineering, and Go-to-Market teams. This role is for someone who can listen carefully, structure ambiguity, and turn on-the-ground learnings into scalable solutions. This role required high proactivity and bias to action. What You'll Do No two days are the same, but you can expect to: Discover and diagnose customer needs Run stakeholder interviews and workflow deep dives with Finance, Procurement, AP, and IT teams. Map end-to-end processes and pinpoint the “why” behind pain points (risk, cost, cycle time, compliance, exceptions). Identify where AI can create leverage, including intelligent intake, classification, routing, matching, and exception handling. Translate needs into clear solution requirements Turn qualitative input into crisp requirements: problem statements, success metrics, constraints, and acceptance criteria. Define deployment plans that balance speed, safety, and scalability (MVP → iteration → rollout). Partner with customer teams to align on change management, operating model updates, and adoption plans. Partner with technical teams to implement AI-powered workflows Work closely with Ramp Engineers and AI builders to design and ship solutions that meet real customer workflows. Help specify data inputs, integrations, and governance needs (system-of-records, policy rules, auditability). Support evaluation of models and prompts against customer-specific edge cases and risk tolerance.