Senior Customer Solution Engineer — AI Native/Consumption Quote to Cash
New
Based in United StatesFull-TimeSenior
SalaryBase salary range of approximately $136,800 – $177,100 USD.
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Job Details
- Experience
- 7+ years of experience in Sales Engineering, Presales, Solution Architecture, or a related technical customer-facing role.
- Required Skills
- RESTful APIsData modeling
Requirements
- 7+ years of experience in Sales Engineering, Presales, Solution Architecture, or a related technical customer-facing role.
- Proven experience owning technical wins in complex enterprise software opportunities.
- Hands-on experience designing, selling, or implementing quote-to-cash, billing, CPQ, or revenue management solutions.
- Strong understanding of consumption and usage-based billing models, including metering, rating, mediation, and revenue implications.
- Experience working with AI-driven products, AI-native environments, or modern usage-based business models.
- Strong technical knowledge of APIs, integrations, data flows, reconciliation processes, and application architecture.
- Ability to troubleshoot complex technical issues and guide customers through solution challenges.
- Experience delivering executive-level presentations and communicating effectively with both technical and business stakeholders.
- Strong understanding of structured sales methodologies such as MEDDIC, Value Selling, or similar frameworks.
- Bachelor’s degree or equivalent relevant experience in enterprise software, fintech, technology, or related fields.
Responsibilities
- Partner with Account Executives throughout complex enterprise sales cycles, owning discovery, technical strategy, solution positioning, and technical validation.
- Design and architect quote-to-cash solutions that address customer needs across CPQ, billing, revenue operations, and consumption-based monetization models.
- Build, manage, and deliver proofs of concept as a key mechanism for demonstrating technical value and business impact.
- Create customized end-to-end demonstrations using APIs, integrations, data models, and modern application architectures.
- Design solutions for AI-native and usage-based products, including event capture, metering, rating, mediation, billing workflows, and revenue implications.
- Lead technical presentations and architecture discussions with senior stakeholders, including executive audiences.
- Build trusted relationships with customers and prospects by understanding their business objectives, systems, constraints, and operating models.
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