Conversation Designer

Summary

Join NLX, a remote-first conversational AI technology platform company, as a Conversation Designer. You will design and develop natural, engaging conversational experiences for our AI-powered applications. This role requires strong linguistics and technology skills, bridging the gap between crafting intuitive dialog flows and leveraging cutting-edge AI capabilities. You will collaborate with engineers, analyze conversation data, and maintain conversation design guidelines. A Bachelor's degree in a related field and 3+ years of experience are required. The ideal candidate will possess strong analytical and communication skills and experience with major cloud AI services.

Requirements

• Bachelor's degree in Linguistics, Computational Linguistics, or related field
• 3+ years experience in conversation design, UX writing, or related field
• Strong understanding of pragmatics, discourse analysis, and conversational structure
• Experience with NLP technologies and concepts (intent classification, entity extraction, sentiment analysis)
• Demonstrated experience with major cloud AI services: AWS: Amazon Lex, Amazon Comprehend, Amazon Transcribe GCP: Dialogflow, Cloud Natural Language API, Speech-to-Text
• Proficiency in conversation design tools and prototyping platforms
• Strong analytical skills with experience in conversation analytics and optimization
• Exceptional written and verbal communication
• Strong problem-solving and analytical thinking
• Ability to balance technical constraints with user experience needs
• Experience with agile development methodologies
• Excellent project management and documentation skills
• Strong collaboration abilities with cross-functional teams

Responsibilities

• Design and develop conversational flows, dialog patterns, and interaction models that create natural, effective user experiences
• Create and maintain conversation scripts, including main flows, edge cases, and error handling scenarios
• Analyze conversation logs and user interaction data to identify patterns and opportunities for improvement
• Collaborate with AI/ML engineers to optimize natural language understanding models and intent classification
• Develop and maintain conversation design guidelines and best practices
• Build and maintain testing frameworks for conversational accuracy and user experience
• Work with localization teams to ensure conversation flows work across multiple languages and cultures

Preferred Qualifications

• Master's degree in Computational Linguistics or related field
• Experience with machine learning concepts and training data preparation
• Knowledge of Python or similar programming language
• Experience with voice user interface (VUI) design
• Background in user research and usability testing
• Experience with multilingual conversation design
• Familiarity with accessibility standards and inclusive design principles