Customer Representative Manager
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
Role Overview
The Customer Representative Manager leads customer service activities, supports representative performance, and strengthens overall customer satisfaction.
The role involves managing customer-facing operations, resolving complex concerns, coaching team members, and identifying service-quality improvements.
Key Skills for This Role
Full Job Posting
Work arrangement
- The role is fully remote and based in the United Arab Emirates.
- The position is part-time.
About the role
The Customer Representative Manager leads customer service activities, supports representative performance, and strengthens overall customer satisfaction.
The role involves managing customer-facing operations, resolving complex concerns, coaching team members, and identifying service-quality improvements.
About the organization
The organization focuses on exceptional customer experiences, lasting relationships, operational discipline, proactive communication, and continuous improvement.
Key responsibilities
- Oversee day-to-day customer representative and customer service activities.
- Lead, support, and coordinate customer-facing teams to achieve service standards.
- Monitor inquiries, complaints, response times, resolution rates, and satisfaction.
- Handle escalated customer concerns and coordinate effective resolutions.
- Develop and maintain customer service procedures, guidelines, and quality standards.
- Coach representatives and provide feedback to improve service performance.
- Collaborate with sales, operations, product, and support teams to resolve customer issues.
- Analyze customer feedback and service data to identify trends, risks, and improvements.
- Prepare service performance reports and recommendations for management.
- Drive initiatives that improve customer experience, operational efficiency, and retention.
Requirements
- A Bachelor’s degree or equivalent qualification in Business, Management, Communications, or a related field is preferred.
- 3+ years of professional experience in customer service, customer success, account management, or a related field is preferred.
- Experience supervising or coordinating customer-facing teams is preferred.
- Strong understanding of customer service operations, escalation management, and service quality.
- Excellent communication, interpersonal, negotiation, and conflict-resolution skills.
- Strong leadership and coaching abilities with a customer-focused mindset.
- Familiarity with CRM systems, ticketing platforms, customer service tools, and productivity software.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to manage multiple priorities independently in a remote working environment.
- Professional certifications are not required unless specifically relevant to the role.
What the organization offers
- Flexible part-time hours within a fully remote working environment.
- Competitive compensation aligned with experience and responsibilities.
- Opportunities to support international customers and diverse service operations.
- Exposure to customer experience strategy, service optimization, and cross-functional business operations.
- Professional growth through customer leadership, team development, and service improvement initiatives.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Sport Psychology Academy | أكاديمية علم النفس الرياضي
Facilities Manager
, UAE
The employer is seeking a part-time remote Facilities Manager to coordinate facilities operations, maintenance, vendors, budgets, workplace services, and service quality. Candidates should bring facilities or property op
AI / Machine Learning Engineer
, UAE
The organization is seeking a part-time AI / Machine Learning Engineer to design, deploy, optimize, and monitor production machine learning solutions. The role requires strong Python and machine learning knowledge, exper