Note: The job is a remote job and is open to candidates in USA. Zuora is a company that helps businesses grow smarter and adapt faster through its innovative platform. They are seeking a Senior Customer Solution Engineer to capture technical wins in complex billing and quote-to-cash opportunities, focusing on AI-native environments and consumption-based monetization.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
- Medical, dental, and vision insurance
- Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
- Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
- Learning & development stipend to support ongoing growth
- Opportunities to volunteer and give back, including charitable donation matching where available
- Mental wellbeing resources and support
Company Overview
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