Senior Customer Solution Engineer - AI Native/Consumption Quote to Cash

About the role

This position involves partnering with clients to design and implement technical solutions for complex billing and revenue management challenges. You will focus on modern business models, particularly those involving usage-based pricing and AI-driven services, ensuring clients can effectively monetize their offerings.

Key facts

What you'll do

• Guide clients through the entire technical sales process, from initial discovery to securing the technical decision for quote-to-cash solutions.
• Architect and present end-to-end solutions that address intricate customer requirements, including CPQ, billing, and revenue recognition, with a focus on consumption models.
• Develop and manage proof-of-concept initiatives to demonstrate the value and functionality of proposed solutions.
• Explain how businesses can monetize usage and AI-generated products, detailing the implications for billing and revenue.
• Create customized demonstrations and proofs of concept using hands-on technical work, not just presentations.
• Communicate technical strategies and the business impact of architectural choices to senior executives.
• Build and maintain strong technical relationships with customers, understanding their operational environments and strategic goals.
• Ensure customers achieve their desired outcomes post-sale and identify opportunities for account expansion.
• Provide feedback to product and solutions teams based on customer interactions and market trends.
• Coordinate technical resources internally and with partners, and contribute to proposal responses.
• Travel to client sites as required within your territory.

Requirements

• A minimum of 7 years of experience in sales engineering, presales, or solution architecture, with a proven history of leading technical wins in enterprise deals.
• Direct experience with quote-to-cash processes, including CPQ, billing, and revenue management.
• Deep understanding of consumption and usage-based billing, including metering, rating, and mediation.
• Familiarity with AI-native environments and how to monetize AI-driven products.
• Strong technical skills in APIs, integration patterns, data handling, and modern application architecture, with the ability to troubleshoot.
• Experience in structured sales methodologies such as MEDDIC or Value Selling.
• A Bachelor's degree or equivalent experience in FinTech or enterprise software.

Nice to have

• Prior experience in the telecommunications industry, particularly with high-volume mediation, rating, and complex usage models.

Skills & tools

• APIs
• Integration patterns
• Data handling
• Modern application architecture
• CPQ
• Billing
• Revenue recognition
• Consumption-based pricing
• Usage-based pricing
• AI-native monetization
• MEDDIC
• Value Selling

Practical notes

• Compensation: OTE range of $124,375 - $251,160. Base pay range of $99,500 - $193,200 USD.
• Benefits include competitive compensation, variable bonus, retirement programs, medical, dental, and vision insurance, generous paid time off, paid parental leave, learning and development stipend, and mental wellbeing resources.
• Zuora is an Equal Opportunity Employer.