Customer Success Manager, Fashion & Fitness

Key job responsibilities

• Coordinate vendor initiatives and execute tactical business plans that support growth and improve customer experience
• Analyze performance metrics and learn to develop data-driven recommendations that drive adoption and ROI
• Build collaborative relationships with vendors, serving as a reliable point of contact for day-to-day needs
• Advise vendors on utilizing Amazon tools, policies, and programs while escalating blockers and risks appropriately
• Identify opportunities to improve team processes and contribute to operational efficiency
• Leverage internal AI tooling to drive efficiencies and expedite problem solving

About the team

Azom Vendor Services (AVS) is a paid suite of services designed to build long-term partnerships between Amazon and its vendors — making Amazon the retailer of choice. AVS pursues three core goals:

• Accelerate vendor growth on Amazon
• Drive higher vendor satisfaction with Amazon, fostering greater engagement and investment
• Build sustainable, efficient e-commerce partnerships between Amazon and vendors

Basic Qualifications

• Experience with MS Office Professional Suite, including Microsoft Excel to manipulate and analyze data
• Experience prioritizing and managing time effectively in dynamic environments
• Bachelor's degree
• 3+ years of vendor or client-facing experience in Account Management, Vendor Management, and/or relevant experience in Buying, Planning, or Merchandising (or equivalent)
• Demonstrated analytical and problem-solving capabilities
• Excellent written and verbal communication skills

Preferred Qualifications

• Experience with data analysis tools such as Excel, Pivot Tables, macros, SQL, visualization tools - Tableau, Quicksight, etc.
• Experience using data and metrics to improve processes and customer satisfaction
• 4+ years of relevant vendor/client-facing experience
• Experience in retail, e-commerce, or technology industries
• Background in project coordination or operational support
• Leverage internal AI tooling to drive efficiencies and expedite problem solving