Senior Customer Solution Engineer β€” AI Native/Consumption Quote to Cash

🏒 Zuora · all Zuora jobs
πŸ“ United States
πŸ’° USD 136,800 - 177,100 / annual
πŸ“… Posted 2026-07-13 Β· via Himalayas
🏷 Senior-Customer-Solutions-Lead,Pre-Sales-Engineer,Solutions-Engineering,Sales-Engineering,Billing-and-Revenue,Customer-Success,Lead-CPQ-Solution-Engineer,Senior-Customer-Success-Engineer,Senior-Solutions-Engineer,Customer-Solutions-Engineer
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About Zuora

At Zuora , we help businesses grow smarter and adapt faster. Our platform powers modern business models β€” from subscriptions and usage-based pricing to AI-driven and outcome-based offerings β€” 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 β€” 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 β€” protecting technical health and surfacing expansion.
In this role, you will:

- Own the technical win. Partner with AEs through complex enterprise cycles β€” discovery, technical strategy, objection handling, and clear differentiation β€” 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 β€” 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 β€” 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 β€” 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 β€” understanding their goals, constraints, systems of record, and operating models.

- Protect technical health and adoption on your accounts β€” 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 β€” with demonstrated, hands-on ownership of technical wins on complex enterprise deals.

- Direct billing / quote-to-cash experience β€” you've scoped, sold, and/or built solutions spanning CPQ, billing, and revenue (not just adjacent SaaS).

- Consumption / usage-based billing fluency β€” metering, rating, mediation, and the revenue implications of consumption pricing

- Comfort in AI-native environments β€” you understand how AI-driven and usage-based products get monetized, and can architect for that.

- Technical depth β€” 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 β€” high-volume mediation, rating, and complex usage models.

- Excellent executive communication β€” you shift registers between engineers, con

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