Job description
Position: Head of Customer Support Location : Global (US Time Zone) Industry : SaaS (Procure-to-Pay Solutions) Client Type : Global enterprise solutions provider in e. Procurement, AP Automation, and more. Role Overview: The Head of Customer Support will lead global customer support operations for a leading SaaS provider.
This role demands strong leadership, a customer-centric approach, and strategic thinking to drive exceptional support services, improve NPS scores, and optimize processes. The role involves managing a global team, ensuring seamless customer interactions, and guiding support efforts to meet organizational objectives.
Key Responsibilities
- Global Leadership : Manage and scale global L1/L2 support operations, ensuring world-class customer satisfaction.
- Customer-Centric Excellence : Build strong customer relationships, advocate for customer needs, and improve customer experience.
- Problem Solving : Drive quick issue resolution in high-pressure situations, using strategic thinking to address root causes.
- Quality Assurance : Establish SLAs, monitor service quality, and continuously improve performance metrics.
- Team Development : Lead, mentor, and train a global team, fostering a collaborative, high-performance culture.
- Cross-Functional Collaboration : Work with product, engineering, and other teams to ensure seamless customer support and technical resolution.
Qualifications
- 10+ years of leadership experience in SaaS customer support for global enterprises .
- Proven ability to manage large, diverse teams across multiple time zones (US, EMEA).
- Strong experience in customer relationship management , with a focus on enterprise-level customers.
- Expertise in establishing KPIs , analyzing performance metrics, and driving continuous improvement.
- Hospitality SaaS experience is a plus.
- Excellent communication (both written and verbal) and problem-solving skills . Additional Requirements:
- Ability to operate in a US Time Zone .
- Strong ability to manage and improve NPS scores and customer satisfaction metrics.
- Data-driven decision-making to optimize workflows and enhance customer support.
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