Customer Solution Engineer – AI Native, Consumption Quote to Cash

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

💵 $99 500 - $175 600 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

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👻 Score fantôme 4%

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🗣️🇺🇸🇬🇧 Anglais requis

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Zuora

1001 - 5000 employés

Fondée en 2007

☁️ SaaS

💸 Finance

🤝 B2B

💰 €400 000 000 Post-IPO Equity en 2022-03

SaaS • Finance • B2B

Zuora est un fournisseur de premier plan de solutions de gestion des abonnements et de facturation récurrente. L'entreprise propose la Zuora Monetization Suite, qui prend en charge divers modèles de monétisation, y compris les abonnements, la facturation à l'utilisation et la tarification ponctuelle. Les solutions de Zuora aident les entreprises à gérer la croissance des revenus récurrents à travers la tarification et l'emballage, la facturation, l'acquisition de clients et les processus de devis à encaissement. La plateforme comprend des fonctionnalités pour l'automatisation de la reconnaissance des revenus, la création de paywalls dynamiques et l'intégration avec les écosystèmes d'applications existants grâce à des SDK et API low-code. Zuora est reconnue comme un leader de l'industrie, fournissant des outils robustes pour les entreprises visant à se développer de manière durable avec des modèles de revenus récurrents modernes.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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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