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Conversational Service Manager

Job in Abu Dhabi, UAE/Dubai
Listing for: Etihad
Full Time position
Listed on 2026-07-27
Job specializations:
  • Customer Service/HelpDesk
    Customer Service Rep, HelpDesk/Support
  • IT/Tech
    HelpDesk/Support
Salary/Wage Range or Industry Benchmark: 360000 - 520000 AED Yearly AED 360000.00 520000.00 YEAR
Job Description & How to Apply Below

Join our Digital Experience team and play a critical role in ensuring the accuracy, reliability, and effectiveness of Etihad's conversational AI ecosystem across Chat, IVR, and social channels including Whats App and Webchat.

This is a highly analytical and hands-on role focused on the day-to-day operational performance of our AI-powered customer service solutions. You will continuously monitor passenger interactions, identify and eliminate AI hallucinations, resolve conversational logic issues, and fine-tune models in real time. Your ultimate objective will be to maximize bot resolution rates, enhance customer self-service experiences, and ensure every interaction is accurate, efficient, and aligned with the Etihad brand.

Key

Accountabilities Monitor and optimize customer conversations
  • Conduct daily deep-dives into chat and voice transcripts to assess customer journeys, identify friction points, and understand why specific passenger queries fail or drop off.
  • Review fallback logs and conversation flows to uncover recurring issues and opportunities for continuous improvement.
Drive AI accuracy and quality
  • Proactively monitor GenAI and LLM-generated responses to identify and eliminate hallucinations, factual inaccuracies, and off-brand behaviour.
  • Fine-tune prompts, guardrails, and knowledge inputs to maintain response accuracy and consistency.
Improve bot resolution and containment
  • Analyze daily Bot Resolution and Containment metrics to identify high-volume enquiries that frequently transfer to live agents.
  • Optimize conversational logic, intent mappings, and dialogue flows to enable autonomous resolution whenever possible.
  • Review fallout logs and unhandled intents to identify gaps in understanding.
  • Reclassify user inputs, add training phrases, and continuously refine Natural Language Understanding (NLU) models to improve recognition accuracy and customer satisfaction.
Maintain knowledge integrity
  • Ensure the knowledge sources powering the AI experience, including baggage policies, flight changes, and disruption handling procedures, remain accurate, structured, current, and properly integrated.
  • Prevent the surfacing of outdated or incorrect policy information.
Test and validate enhancements
  • Safely evaluate prompt updates, logic changes, and content improvements in staging environments.
  • Measure performance against established baselines before deploying enhancements to production.
Identify trends and innovation opportunities
  • Analyze passenger behaviour, emerging customer pain points, and channel trends.
  • Recommend and champion new self-service capabilities such as automated rebooking, proactive disruption support, and real-time flight status tracking to support the digital product roadmap.

Join our Digital Experience team and play a critical role in ensuring the accuracy, reliability, and effectiveness of Etihad's conversational AI ecosystem across Chat, IVR, and social channels including Whats App and Webchat.

This is a highly analytical and hands-on role focused on the day-to-day operational performance of our AI-powered customer service solutions. You will continuously monitor passenger interactions, identify and eliminate AI hallucinations, resolve conversational logic issues, and fine-tune models in real time. Your ultimate objective will be to maximize bot resolution rates, enhance customer self-service experiences, and ensure every interaction is accurate, efficient, and aligned with the Etihad brand.

Key

Accountabilities Monitor and optimize customer conversations
  • Conduct daily deep-dives into chat and voice transcripts to assess customer journeys, identify friction points, and understand why specific passenger queries fail or drop off.
  • Review fallback logs and conversation flows to uncover recurring issues and opportunities for continuous improvement.
Drive AI accuracy and quality
  • Proactively monitor GenAI and LLM-generated responses to identify and eliminate hallucinations, factual inaccuracies, and off-brand behaviour.
  • Fine-tune prompts, guardrails, and knowledge inputs to maintain response accuracy and consistency.
Improve bot resolution and containment
  • Analyze daily Bot Resolution and Containment metrics to…
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