Client Success Lead - Training, Execution & Growth

Brandwriter.AI; Selangor; On-site; MYR 60,000 - 100,000; Full time

Job summary

BrandWriter is a Malaysian SME building a world-class, repeatable marketing system for multi-location businesses. This role focuses on driving store execution, delivering on-site and online training, and measuring content quality and performance for Xiaohongshu.

You will work with owners, marketing and operations teams, and store staff to diagnose gaps, train, and ensure agreed actions are implemented. A strong emphasis on data-driven improvements and scalable playbooks is required.

Qualifications

• Minimum 3 years of experience in Customer Success, Merchant Success, Account Management, Retail Operations, Retail Training, Franchise Operations or Digital Marketing client servicing.
• Ability to influence teams and drive measurable client outcomes.
• Ability to interpret performance data and turn insights into actions.
• Read and evaluate Chinese-language Xiaohongshu content.

Responsibilities

• Drive store execution: own content targets and supervise weekly/monthly actions.
• Deliver on-site and online training for client teams and translate CPMS workflows into practical actions.
• Test Xiaohongshu content quality and performance; provide actionable recommendations to clients and Product/AI teams.
• Lead data reporting and client reviews; present outcomes and actionable next steps.
• Build a repeatable customer success system with playbooks, SOPs, and templates.

Skills

Client success

Team leadership

Training delivery

Data interpretation

Communication

Chinese content reading

Job description

BrandWriter is a Malaysian SME building a world-class, repeatable marketing system for multi-location businesses. This role focuses on driving store execution, delivering on-site and online training, and measuring content quality and performance for Xiaohongshu.

You will work with owners, marketing and operations teams, and store staff to diagnose gaps, train, and ensure agreed actions are implemented. A strong emphasis on data-driven improvements and scalable playbooks is required.