
Lucidya
CX Manager - AI Agents
- Permanent
- Riyadh, Saudi Arabia
- Experience 5 - 10 yrs
Job expiry date: 02/05/2026
Job overview
Date posted
18/03/2026
Location
Riyadh, Saudi Arabia
Salary
SAR 20,000 - 30,000 per month
Compensation
Comprehensive package
Job description
The CX Manager - AI Agents (Customer Experience & Conversational AI Operations) is responsible for overseeing and optimizing post-go-live customer experience operations for AI-powered conversational agents within an AI-driven customer experience technology environment. The role focuses on ensuring AI Agents deliver seamless, intelligent, and scalable customer support by managing daily CX operations, monitoring performance, and driving continuous improvement through structured feedback loops. The position acts as the primary CX owner during go-live and hypercare phases, collaborating with Implementation and Delivery teams while defining hypercare expectations with client CX leadership. The role involves overseeing AI agent integration into live CX workflows including queue management, routing, and escalation management, ensuring smooth interaction between automation and human intervention. The CX Manager monitors performance through conversation analysis and tracks CX metrics such as CSAT, containment vs escalation, complaint trends, and reopened cases, while identifying gaps in empathy, tone, and clarity. The role serves as a bridge between CX operations and LLM/AI tuning teams by compiling structured feedback for engineers and QA teams, prioritizing improvements, and validating enhancements. Additionally, the role develops training materials and supports enablement initiatives for CX teams, covering escalation protocols, conversation interpretation, and issue reporting. The CX Manager is responsible for producing performance reports, identifying new automation or co-pilot use cases, and collaborating with Solution Consultants and Sales teams to support expansion opportunities and CX case studies, while ensuring compliance, escalation accuracy, and continuous optimization of AI agent performance.
Required skills
Key responsibilities
- Lead CX operations during AI agent go-live and hypercare phases, acting as the primary contact and collaborating with Implementation and Delivery teams while defining hypercare expectations with client CX leadership
- Oversee daily CX operations by managing AI agent integration with live workflows including queue management, routing, escalation processes, and balancing automation with human intervention
- Monitor AI agent performance through regular conversation analysis, identifying friction points in empathy, tone, and clarity while tracking metrics such as CSAT, containment vs escalation, complaint trends, and reopened cases
- Escalate critical issues related to errors, escalation failures, or compliance risks to relevant teams and ensure timely resolution to maintain CX quality standards
- Act as the bridge between CX operations and LLM/AI tuning teams by compiling structured feedback, prioritizing fixes, and participating in review cycles to validate enhancements
- Develop and deliver training materials and enablement programs for CX teams including escalation protocols, conversation interpretation, and issue reporting best practices
- Produce detailed performance reports highlighting insights, trends, and recommendations while identifying opportunities for automation and co-pilot CX use case expansion
- Collaborate with Solution Consultants and Sales teams to support CX-driven growth initiatives, uncover expansion opportunities, and contribute to customer success case studies
Experience & skills
- Demonstrate 5–8 years of experience in Customer Experience (CX) operations, contact center management, customer support, or customer success with strong exposure to operational workflows and service delivery models
- Possess 2–3 years of hands-on experience working with digital or omnichannel CX platforms including CRM systems, ticketing systems, CCaaS, and messaging platforms within customer support environments
- Demonstrate experience managing post-go-live CX tool operations including AI bots, IVR systems, and live chat platforms with a focus on performance monitoring and continuous improvement
- Exhibit deep understanding of contact center operations including queue management, SLAs, routing, escalation management, QA scorecards, and supervisor workflows
- Demonstrate strong analytical capabilities including interpreting dashboards, analyzing performance metrics such as CSAT and escalation rates, identifying patterns, and translating insights into actionable improvements
- Possess conceptual knowledge of LLM and AI behavior including awareness of monitoring, tuning, and iterative improvement processes required for conversational AI systems
- Demonstrate structured approach to feedback collection, documentation, and follow-through ensuring continuous optimization of AI agent performance and CX outcomes
- Exhibit proficiency in stakeholder management across multiple levels including CX directors, supervisors, and frontline agents, with the ability to align operational goals and communicate performance insights effectively, with bilingual proficiency in Arabic and English considered an advantage