Zuora

Customer Solution Engineer - AI Native/Consumption Quote to Cash

Remote - United States · Senior

Sponsorship not specified$124k-$251kDetected 1 day ago

SalesCommunicationPublic SpeakingAdaptability

About the role

A technical SaaS sales engineer who captures the technical win on complex billing and quote-to-cash opportunities - with real fluency in consumption/usage-based monetization and AI-native environments.
This is a hands-on Solutions Engineer role.
Additionally, you'll also stay close to your accounts post-sale - protecting technical health and surfacing expansion.

Own the technical win. Partner with AEs through complex enterprise cycles - discovery, technical strategy, objection handling, and clear differentiation - to secure the technical decision.
Build and manage the lifecycle of proofs of concept as a primary mechanism (think forward deployed engineer)
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.
Coordinate technical resources across Zuora and partners; contribute to RFPs/RFIs, field events, and customer references; support escalations cross-functionally.
Scope, sell, and build quote-to-cash solutions.
You'll scope, sell and build the QTC solution, not just demo it.
Collaborate deeply across teams and regions

Telecom experience, especially with high-volume mediation, rating, and complex usage models
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.
Telecom experience is a strong plus - high-volume mediation, rating, and complex usage models.

The OTE range for this role is $124,375 - $251,160.
OTE includes base salary and target variable compensation.
A candidate's final OTE will be determined based on factors including qualifications, relevant experience, job-related knowledge, specific skills, location, internal equity, and budget.
The base pay details represent the annualized salary range for the posted position.
While we share a comprehensive range, a candidate's final base salary will fall within these guidelines and will be determined based on multiple factors including but not limited to: qualifications of the candidate, job related knowledge, prior related experience, specific and unique skills, the location of the role, internal equity and internal budget.
Base pay is only one element of Zuora's Total Rewards Package.

Zuora offers a comprehensive total rewards package designed to support ZEOs' wellbeing, growth, and flexibility.
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
Mental wellbeing resources and support
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.
Benefits may vary by location

You will be part of a team focused on winning and expanding complex enterprise quote-to-cash opportunities by combining technical depth, business acumen, and customer partnership.
This team works closely across
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 strong technical relationships with customers and prospects - understanding their goals, constraints, systems of record, and operating models.

This listing is sourced directly from Zuora's careers page and normalized into a canonical job model.