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Call Center Manager

Location: Abroad
Operations
Posted: Sep 26, 2026

Iranian Company in Fintech Industry

Annual Package: 1 – 1.2 billion Tomans


Responsibilities

·        Oversee daily call center operations to ensure timely, accurate, and professional customer service.

·        Manage team scheduling, workload distribution, and staffing capacity across multiple locations.

·        Monitor and improve performance metrics, including SLA, AHT, FCR, CSAT, and NPS.

·        Evaluate call quality, provide ongoing feedback, and implement team training and development plans.

·        Handle complex customer complaints, sensitive cases, and escalations through resolution.

·        Analyze call reports, tickets, and customer feedback to identify trends and improve support processes.

·        Collaborate with technical, product, finance, and operations teams to resolve recurring customer issues.

·        Maintain and optimize call scripts, FAQs, knowledge bases, CRM systems, and ticketing workflows.

·        Prepare regular performance reports, identify operational challenges, and recommend corrective actions.

·        Develop AI-assisted support workflows by defining automation scenarios, knowledge requirements, quality controls, and escalation procedures.


Requirements

·        4+ years of experience in call center operations or customer support.

·        2+ years of experience managing or supervising call center teams.

·        Strong leadership, coaching, team development, and performance management skills.

·        Solid knowledge of call center KPIs, including SLA, AHT, FCR, CSAT, and NPS.

·        Experience with CRM platforms, ticketing systems, VoIP tools, and reporting dashboards.

·        Strong analytical skills and proficiency in Excel or Google Sheets.

·        Excellent communication, problem-solving, and customer escalation management skills.

·        Ability to manage team capacity, shift planning, and multiple operational priorities.

·        Experience developing customer service processes, knowledge bases, and quality assurance standards.

·        Ability to translate customer interaction data into AI automation scenarios, escalation rules, and continuous improvement initiatives.

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