Maintain accurate affiliate databases and tracking systems to ensure effective campaign management, reporting accuracy, and timely payouts.
Negotiate campaign terms, fees, and commission structures with affiliates and KOLs while balancing budget efficiency and maximizing ROI (Return of Investment).
Build and maintain long-term relationships with key creators and top-performing affiliates to secure preferred partnerships and ongoing collaborations.
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The promotion engine operates on centralized pooled data pipelines powered by Kafka, which are shared across several systems. The engineer will be responsible for validating Kafka data streams used in promotion calculations and ensuring data consistency across promotion, reporting, and referral systems. The role also involves recommending improvements to data structures and storage strategies to support scalability and performance. Since the same pooled data is utilized by multiple systems, maintaining high standards of data accuracy, structural integrity, and consistency is essential to ensure that reporting outputs correctly reflect the underlying promotion calculation logic.