Customer Solution Engineer – AI Native, Consumption Quote to Cash
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Job Description
Technical SaaS solutions engineer focusing on billing and quote-to-cash opportunities for strategic customers. Experience in consumption/usage-based monetization and AI-native environments essential.
Responsibilities:
- 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.
Requirements:
- 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.
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
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