Customer Solution Engineer – AI Native, Consumption Quote to Cash

Zuora

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.

Posted 7/17/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $99,500 - $175,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in driving technical wins through enterprise sales cycles, with a strong focus on quote-to-cash solutions, consumption-based billing, and AI-native monetization. Capable of delivering technical presentations and ensuring customer success through effective communication and collaboration.

Highest-signal resume keywords

Sales Engineering ExperienceQuote-To-Cash SolutionsConsumption-Based BillingAPI IntegrationStrong Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CPQBillingRevenue RecognitionMeteringRatingMediationIntegration PatternsData ReconciliationModern Application ArchitectureTechnical Presentations

Soft Skills

Strong CommunicationCollaborationProblem Solving

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

FinTechEnterprise SoftwareTelecomSales MethodologyRFPs/RFIs

Tech Stack

Tools & technologies

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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