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.

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.

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. Structured sales methodology experience (e. g.

, MEDDIC, Value Selling) — or equivalent deal discipline. Bachelor's degree and/or relevant FinTech / enterprise software background.

About the Team 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.

Benefits