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 solutions engineer who drives the technical win on billing and quote-to-cash opportunities and acts as a technical SME for the most strategic customers in our install base — with real fluency in consumption/usage-based monetization and AI-native environments. You'll scope, configure, and build QTC solutions hands-on, not just demo them This is a hands-on Customer Solution Engineer role.

You'll partner with AEs and stay close to your accounts beyond just the deal cycle, supporting technical health and surfacing expansion. In this role, you will: Drive the technical win. Partner with AEs through enterprise sales cycles — discovery, solution design, objection handling, and clear differentiation — to secure the technical decision.

Own account technical health. stay embedded with your accounts as a trusted technical partner — diagnosing billing and integration issues, guiding configuration and architecture best practices, unblocking adoption, and partnering with Support and Services on escalations so customers run on a healthy, scalable QTC foundation Scope and build quote-to-cash solutions.

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. Support 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.

Collaborate across Zuora and partners; contribute to RFPs/RFIs, field events, and customer references; support escalations cross-functionally. Travel within your territory as needed. About You You are an experienced presales or solutions professional with a strong track record of owning technical wins in complex enterprise environments.

You likely bring: 5+ years in Sales Engineering, Presales, or Solution Architecture — with demonstrated, hands-on contribution to technical wins on enterprise deals. Direct billing / quote-to-cash experience — you've scoped 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. Strong communication — you translate technical concepts clearly for engineers, finance stakeholders, and business leaders.