Customer Solution Engineer – AI Native/Consumption Quote to Cash

Key Highlights

• Drive the technical win. Partner with AEs through enterprise sales cycles — discovery, solution design, objection handling, and clear differentiation — to secure the technical decision.
• Scope and build quote-to-cash solutions. Translate 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 execute proofs of concept as a core part of the role — hands-on with APIs, data, and integrations (forward-deployed, not slideware).
• 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.
• Deliver technical presentations for business and technical stakeholders, including senior leadership — translating architecture and pricing-model tradeoffs into business value.