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Zuora, a leading company in enabling businesses to grow through smarter approaches and adaptations, is currently hiring for a Customer Solution Engineer – AI Native/Consumption Quote to Cash role. This position focuses on helping organizations enhance their billing systems and implement innovative subscription and usage-based pricing models. By building a cutting-edge platform for quote-to-cash solutions, Zuora is committed to revolutionizing how businesses monetize their products and services.
As a Customer Solution Engineer, you will serve as a technical Subject Matter Expert (SME) who collaborates closely with Account Executives (AEs) to navigate complex billing and quote-to-cash opportunities. The role is inherently a hands-on technical position, requiring the ability to scope, configure, and build quote-to-cash solutions proactively rather than just showcasing them through demonstrations.
The responsibilities of this role are crucial to ensuring customers see value in their investments:
Drive technical wins by partnering with AEs throughout the enterprise sales cycle in areas like discovery, solution design, and objection management.
Own and manage account technical health, assisting customers in diagnosing issues related to billing, guiding them on best practices, and ensuring seamless adoption of solutions.
Scope and build quote-to-cash solutions, converting customer requirements into concrete QTC architectures, with a strong focus on consumption and usage-based billing models.
Execute proofs of concept involving APIs and data integrations directly, ensuring that the proposed solutions meet customer specifications.
Provide depth of understanding in consumption and AI-native monetization which entails demonstrating how customers can monetize their products effectively.
Deliver technical presentations to business and technical stakeholders, clearly translating intricate architecture and pricing model trade-offs.
Collaborate effectively across Zuora’s various departments and partners, contributing to responses for Requests for Proposals (RFPs), field events, and offering customer references.
To succeed in this position, certain qualifications and experiences are necessary:
At least 5 years of experience in Sales Engineering, Presales, or Solution Architecture, especially with tangible contributions to technical wins in enterprise settings.
Direct experience with billing and quote-to-cash solutions is mandatory, including the ability to design and build complex systems that span various functional areas.
Fluency in consumption/usage-based billing practices and AI-native environments, as well as a thorough understanding of their implications for revenue and pricing structures.
Technical competencies such as knowledge of APIs, integration patterns, and data reconciliation.
Strong communication skills to effectively convey technical concepts to diverse audiences including engineers and business leaders.
Experience with structured sales methodologies, and a solid educational background in FinTech or enterprise software is preferable.
The position at Zuora offers a competitive on-target earnings (OTE) range of $124,375 to $219,500, which includes both base salary and target variable compensation. The final salary for the candidate will be calibrated according to various factors including qualifications, experience, and location.
At Zuora, ZEOs (employees) are encouraged to take ownership and challenge existing norms. The work atmosphere emphasizes:
Zuora offers a diverse and comprehensive total rewards package that varies by location. Offerings typically include:
The Customer Solution Engineer position at Zuora presents an exciting opportunity for seasoned professionals looking to grow in the technical SaaS environment, particularly within the realms of AI and modern billing systems. If you are seeking a role that not only challenges your qualifications but also allows you to make a significant impact within an innovative company at the forefront of the Subscription Economy, this could be your next career move.
This job offer was originally published on jobicy.com
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