Responsibilities:

• Develop and configure Varicent compensation models and calculation logic. Act as the primary technical builder for system enhancements, ensuring all plans are set up accurately and on time.
• Identify and implement best practice configurations and build techniques, optimizing for scalability and usability while ensuring solutions align with stakeholder needs.
• Plan and execute end-to-end testing (QA/UAT) for all system changes. You will be responsible for identifying bugs, validating fixes, and ensuring error-free deployments.
• Review and analyze application performance, to provide enhancement recommendations and process improvements.
• Provide risk assessment for new functionality and enhancements.
• Build extensive solution / process documentation and enablement infrastructure, scaling consistent practices, documentation and desktop procedures for tool functionality
• Build deep knowledge around and leverage relationships to influence outcomes and prioritization of upstream system enhancements which directly impact ICM practice
• Monitor data flows between upstream systems (CRM, HCM) and Varicent. Troubleshoot integration errors and collaborate with IT/Data teams to resolve discrepancies.

Task Management & Delivery:

• Independently manage your own project timelines and priorities. You will be expected to balance daily support tickets with larger system builds, ensuring deadlines are met with minimal oversight.

Must Have Skills:

• 4+ years in Sales Compensation, Sales Operations, or Systems Administration, preferably within a high-growth SaaS environment.
• 3+ years of hands-on experience configuring Varicent (or a similar enterprise ICM tool like Anaplan/Xactly), including component building, scheduler management, and calculation logic.
• Firm grasp of end-to-end commission processes, including plan document tracking, transaction crediting, complex incentive calculations, and dispute resolution.
• Strong SQL skills with the ability to write queries for data analysis and troubleshooting. Experience handling large, complex datasets is required.
• Analytical & Detailed: Clear, concise communicator; A natural problem solver with high attention to detail, capable of troubleshooting complex data discrepancies and validating calculations before they impact the business.

Nice-to-Have Skills:

• Industry Context: Experience with a SaaS business model.
• Cloud & Infrastructure: Prior experience working in the SaaS, Cybersecurity, or Cloud Infrastructure space, with familiarity with usage-based or consumption-based compensation models.
• Advanced Data Handling: Experience working with large-scale, complex datasets.

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