AI Solutions Engineer

Responsibilities

• 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 implementation after purchase, including deployment planning, stakeholder alignment, workflow design, technical coordination, enablement, and adoption.

Languages