AI Solutions Engineer

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 Ramp is building a new AI business, and you’ll be one of its first technical sellers. Your job is to turn technically complex AI products into closed revenue. You’ll sell a growing portfolio spanning AI-powered applications and agents for finance teams, as well as infrastructure that helps companies deploy and manage AI with greater control, security, and cost efficiency. This is a product-focused, quota-carrying technical sales role. You’ll help customers evaluate and purchase Ramp’s AI products, translating complex capabilities into clear business value and guiding opportunities from discovery through close. This is a high-velocity commercial role, not a traditional pre-sales position where success ends with a great demo. You’ll be accountable for turning technical evaluations into commercial wins from start to finish. You’ll lead discovery, shape deal strategy, build executive-level business cases, deliver tailored demonstrations, navigate technical and commercial objections, and create urgency around a clear path to purchase. You’ll move comfortably between technical and executive conversations. In one meeting, you may discuss model routing, APIs, integrations, data governance, and security with Engineering and IT teams. In the next, you may help Finance and executive leaders understand the ROI, total cost of ownership, and operational impact of adopting Ramp’s AI products. You’ll join at a formative moment for Ramp’s AI business. As one of the first dedicated sellers for these products, you’ll help identify the strongest use cases, refine how we position and sell the portfolio, influence the customer experience, and build the playbook the broader team will eventually scale. You’ll own the full customer lifecycle from discovery and evaluation through close, implementation, and adoption, helping customers translate their purchase into a successful deployment. This role combines Ramp’s resources and customer reach with the ownership, speed, and ambiguity of an early-stage team. What you’ll do Carry a revenue quota and own the progression of AI product opportunities from initial discovery through purchase, ensuring business value is clear, technical requirements are validated, and obstacles to a decision are resolved. Lead discovery with business and technical buyers to understand their goals, workflows, challenges, decision criteria, existing systems, and AI strategy. Translate Ramp’s AI applications and infrastructure into compelling solution narratives tied to measurable business outcomes. Build ROI and total cost of ownership analyses that quantify the value of Ramp’s AI products and create executive-level justification for investment. Help customers identify high-value use cases, set realistic expectations, and establish a credible path from evaluation to production. Deliver tailored demonstrations, technical workshops, and proofs of concept with clear success criteria that establish value and build confidence in a purchase decision. Build relationships with champions and decision-makers across Engineering, IT, Security, Finance, Operations, Procurement, and executive leadership. Navigate questions related to APIs, integrations, model capabilities and limitations, data flows, architecture, privacy, security, governance, implementation, and tradeoffs among quality, cost, latency, and control. Apply strong commercial judgment to qualify opportunities, create urgency, address objections, identify risk, and keep customers moving toward a decision. Lead customers through implementatio