Senior Customer Solution Engineer — AI Native/Consumption Quote to Cash

Key Highlights

• Own the technical win. Partner with AEs through complex enterprise cycles — discovery, technical strategy, objection handling, and clear differentiation — to secure the technical decision.
• Scope, sell, and build quote-to-cash solutions. Translate messy customer requirements across CPQ, billing, and revenue into a defensible QTC architecture — including consumption and usage-based billing models (metering, rating, mediation, invoice presentation, and downstream rev rec implications).
• Build and manage the lifecycle of proofs of concept as a primary mechanism (think forward deployed engineer)
• Go deep on consumption and AI-native monetization. Design and demonstrate how customers monetize usage- and AI-driven products — event/usage capture, rating at scale, and the billing and revenue implications of consumption pricing.
• Build tailored, end-to-end demos and POCs aligned to each customer’s strategic objectives — hands-on with APIs, data, and integrations, not slideware.