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Zuora’s Customer Success organization helps customers realize maximum value from their investment in Zuora. The Customer Success Strategy & Operations team supports both the CS organization and our customers by building the processes, tools, and systems that enable Customer Success to operate effectively at scale. We are looking for a detail-oriented intern to support operational and analytical work during a temporary coverage period. In this role, you will work closely with Strategy & Operations managers to support digital and scaled Customer Success programs and test emerging AI-driven workflows, with data analysis and reporting as core supporting activities. The work is hands-on and execution-focused, well suited for someone who enjoys working with data, systems, and clearly defined processes, and who wants exposure to how Customer Success strategy is executed in a SaaS environment.
Job Responsibility:
Test AI-enabled workflows by reviewing outputs for accuracy, completeness, and relevance
Compare AI outputs against source systems and documented business rules
Perform structured validations and track findings to support iteration and improvement
Support digital and scaled Customer Success programs by translating defined campaigns and business rules into clean, structured executable documents
Support campaign tracking and iteration based on results
Support ad-hoc data requests related to customer and team performance (e.g., CS KPIs)
Build and maintain reports in Excel (formulas, pivot tables, basic data modeling)
Assist with reporting from Salesforce and other enterprise systems, including quarter-end and planning-related reports
Document report logic and data sources to ensure repeatability
Help manage and prioritize incoming reporting, analysis, and operational requests
Support the creation and maintenance of process decks, documentation, and written materials used by the CS team
Support quarter-end, planning, and initiative-related analysis as needed
Requirements:
Currently pursuing a degree in business, operations, analytics, information systems, or a related field
Coursework, projects, or hands-on experimentation involving AI automation (e.g., evaluating AI outputs for accuracy and quality, basic prompt building and testing)
Strong Excel skills (formulas, pivot tables)
Comfortable working with data across multiple systems and learning new tools quickly
High attention to detail, strong organization, and clear written communication
Nice to have:
Experience through coursework or personal projects exploring more advanced AI use cases, such as building simple agents or end-to-end workflows
Exposure to CRM or analytics systems
Prior experience in reporting, analysis, or operations-focused roles or coursework