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Full Time

Job Description

Senior Quality Assurance Analyst – Conversational AI

Senior QA Analyst

You’ll test a sophisticated AI platform handling dynamic conversations, subscription management, and real-time API integrations.

Key ResponsibilitiesBlack Box Testing – Customer Interaction

Conversation Simulation & Persona Testing

  • Simulate varied customer interactions without internal system visibility.
  • Create and execute test personas (frustrated, confused, loyal, canceling, etc.).
  • Validate flows for inquiries, billing, account management, product issues, and cancellations.
  • Ensure responses feel natural, empathetic, and on-brand.
  • Test edge cases: ambiguous inputs, multi-intent questions, emotional escalations, and off-topic content.
  • Confirm escalation triggers hand off correctly to human agents.

End-to-End User Journey

  • Test complete service flows from greeting to resolution.
  • Validate context retention and data accuracy through multi-turn conversations.
  • Ensure proper data collection before actions are taken.
  • Assess clarity, tone, and effectiveness of resolutions.
  • Test authentication and error handling in identity verification flows.

Acceptance Testing

  • Compare AI behavior against customer service standards and brand voice guidelines.
  • Validate consistent handling of similar issues across varied phrasings.
  • Identify experience gaps and improvement areas.
Gray Box Testing – Technical & API Validation

API and Data Validation

  • Cross-check agent responses with real API data (orders, subscriptions, account info).
  • Test agent behavior under API failures, timeouts, and malformed responses.

Integration Testing

  • Validate full workflow integrity from conversation triggers to backend responses.
  • Confirm error propagation is handled gracefully in user-facing replies.
Test Strategy & Execution
  • Design test cases covering normal, edge, and stress scenarios.
  • Maintain detailed test documentation, results, and defect logs.
  • Reproduce issues systematically and analyze logs to identify root causes.
  • Propose automation opportunities where feasible.
  • Develop automated tests for API and data transformation validation.


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