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

Zuora
Remote - United States, United StatesRemotefull_timeVerifiedPosted 8 Jul 2026
💰 $177,100/yr($136,800/yr$177,100/yr)

About the role

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, 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.

 

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:

  • 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.

A strong plus:

  • Telecom experience, especially with high-volume mediation, rating, and complex usage models

 

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 comp

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Company

Zuora

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