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

About Zuora At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue. We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation. The Opportunity A technical SaaS sales engineer who captures the technical win on complex billing and quote-to-cash opportunities — with real fluency in consumption/usage-based monetization and AI-native environments. You'll scope, sell and build the QTC solution, not just demo it. Telecom experience is a strong plus. This is a hands-on Solutions Engineer role. Additionally, you’ll also stay close to your accounts post-sale — protecting technical health and surfacing expansion. In this role, you will: 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