Customer Solution Engineer – AI Native, Consumption Quote to Cash

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the technical victory by collaborating with Account Executives throughout enterprise sales processes — including discovery, solution design, objection management, and clear differentiation — to secure the technical decision.

• Maintain the technical health of accounts. Act as a trusted technical partner, staying closely involved with your accounts — addressing billing and integration challenges, advising on configuration and architecture best practices, facilitating adoption, and collaborating with Support and Services on escalations to ensure customers operate on a robust, scalable QTC foundation.

• Define and develop quote-to-cash solutions. Convert customer needs across CPQ, billing, and revenue into a strong QTC architecture — incorporating consumption and usage-based billing models (metering, rating, mediation, invoice presentation, and downstream revenue recognition implications).

• Create and implement proofs of concept as a fundamental aspect of the role — engaging directly with APIs, data, and integrations (forward-deployed, not just theoretical).

• Deep dive into consumption and AI-native monetization. Design and showcase how customers can monetize usage- and AI-driven products — including event/usage capture, large-scale rating, and the billing and revenue implications of consumption pricing.

• Present technical information to both business and technical stakeholders, including senior leadership — converting architecture and pricing model trade-offs into business value.

• Enhance technical health and adoption within your accounts — ensure customers achieve value based on agreed outcomes, and identify opportunities for expansion across business units, cross-selling, and add-ons.

• Collaborate with Zuora and partners; participate in RFPs/RFIs, field events, and customer references; and assist with cross-functional escalations.

• Travel within your designated territory as required.

⛳️ Requirements

• Over 5 years of experience in Sales Engineering, Presales, or Solution Architecture — with a proven record of hands-on contributions to technical wins in enterprise deals.

• Direct experience with billing/quote-to-cash processes — having scoped and/or built solutions that encompass CPQ, billing, and revenue (not merely adjacent SaaS).

• Proficiency in consumption/usage-based billing — including metering, rating, mediation, and the revenue implications of consumption pricing.

• Familiarity with AI-native environments — understanding how AI-driven and usage-based products are monetized, and the ability to architect for those needs.

• Strong technical expertise — including APIs, integration patterns, data/reconciliation, and modern application architecture. You can troubleshoot a failing integration under pressure, not just describe the process.

• Experience in telecommunications is a significant advantage — particularly with high-volume mediation, rating, and complex usage models.

• Excellent communication skills — able to clearly convey technical concepts to engineers, finance stakeholders, and business leaders.

• Experience with structured sales methodologies (e.g., MEDDIC, Value Selling) — or equivalent deal discipline.

• A Bachelor's degree and/or relevant background in FinTech or enterprise software.

🏝️ Benefits

• Competitive salary, variable bonuses, performance-based rewards, and retirement plans.

• Comprehensive medical, dental, and vision insurance.

• Generous and flexible time off, in addition to paid holidays, wellness days, and a company-wide year-end break.

• Paid parental leave (including fully paid leave for eligible ZEOs, depending on local policy).

• Learning and development stipend to foster ongoing growth.

• Opportunities for volunteering and giving back, including charitable donation matching where available.

• Mental wellbeing resources and support.