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

• 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. • Lead technical presentations for senior stakeholders, including C-level, translating architecture and pricing-model tradeoffs into business value. • Build strong technical relationships with customers and prospects — understanding their goals, constraints, systems of record, and operating models. • Protect technical health and adoption on your accounts — ensure customers realize value against agreed outcomes, and identify expansion across business units, cross-sell, and add-ons. • Influence roadmap by feeding structured customer and market signal to Product and Solutions teams. • Coordinate technical resources across Zuora and partners; contribute to RFPs/RFIs, field events, and customer references; support escalations cross-functionally. • Travel within your territory as needed. • You are an experienced presales or solutions professional with a strong track record of owning technical wins in complex enterprise environments. • You likely bring: • 7+ years in Sales Engineering, Presales, or Solution Architecture — with demonstrated, hands-on ownership of technical wins on complex enterprise deals. • Direct billing / quote-to-cash experience — you've scoped, sold, and/or built solutions spanning CPQ, billing, and revenue (not just adjacent SaaS). • Consumption / usage-based billing fluency — metering, rating, mediation, and the revenue implications of consumption pricing • Comfort in AI-native environments — you understand how AI-driven and usage-based products get monetized, and can architect for that. • Technical depth — APIs, integration patterns, data/reconciliation, and modern application architecture. You can debug a failing integration under time pressure, not just describe one. • Telecom experience is a strong plus — high-volume mediation, rating, and complex usage models. • Excellent executive communication — you shift registers between engineers, controllers, and C-level without losing precision. • Structured sales methodology experience (e.g., MEDDIC, Value Selling). • Bachelor's degree and/or relevant FinTech / enterprise software background. • Telecom experience, especially with high-volume mediation, rating, and complex usage models • You will be part of a team focused on winning and expanding complex enterprise quote-to-cash opportunities by combining technical depth, business acumen, and customer partnership. • This team works closely across Account Executives, Product, Solutions, partners, and customer stakeholders to: • Solve complex monetization and billing challenges • Deliver tailored technical strategies, demos, and proofs of concept • Support customers from pre-sales through post-sale technical health and adoption • Surface customer insight that shapes roadmap and solution direction • Help customers scale modern consumption and AI-native business models • This is a highly collaborative environment for someone who wants to go beyond standard demos and play a meaningful role in shaping solution architecture, customer outcomes, and long-term growth.