Shape user interactions with AI agents through conversation design and linguistic techniques.
Posted by employer 3 days ago
First seen on Joblaze 3 days ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
null
Requirements
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
The Conversation Experience Designer at Wonderful focuses on crafting engaging dialogue journeys for AI agents, ensuring interactions are clear and trustworthy. This role requires expertise in UX writing and conversation design, along with a solid grasp of NLP techniques to enhance user rapport and reduce hesitation. Ideal candidates will have a background in conversational UX or prompt design, and a portfolio showcasing their ability to create effective conversational flows. Wonderful emphasizes a user-centered approach, making this position crucial for improving customer engagement with AI.
Joblaze insights
Quick facts
From the original posting
We're looking for a Conversation Experience Designer to shape how people experience talking with our AI agents: the words, rhythm, and relational dynamics that make an interaction feel clear, credible, and worth coming back to.
This role sits at the intersection of linguistics, communication design, and applied persuasion/rapport techniques. You'll define how our agents build trust, handle hesitation and uncertainty, recover gracefully from misunderstanding, and guide people toward action, all in service of one outcome: people choosing to keep using the agent.
Conversation & Flow Design: Design end-to-end dialogue journeys (onboarding, error recovery, edge cases, escalation/hand-off) from the user's cognitive and emotional experience — where they get confused, anxious, or drop off .
Trust & Rapport Patterns: Apply linguistic and rapport-building techniques (framing and reframing, pacing-and-leading, presupposition, mirroring, tension/objection defusing) to reduce user hesitation and increase follow-through.
Prompt Engineering & Tone of Voice: Draft and refine system instructions, guardrails, and context guidelines to shape agent behavior and maintain brand voice.
Prototyping & Testing: Build, simulate, and iterate on agent responses across various user personas and scenarios.
Performance Analysis: Review real transcripts to flag tone mismatches, unclear phrasing, and comprehension failures.
Experience in UX Writing, Conversation Design, Conversational UX, or Prompt Design for LLM-driven applications.
Working familiarity with NLP (Neuro-Linguistic Programming) frameworks — rapport techniques, framing/reframing, presupposition, pacing-and-leading — applied pragmatically as tested language patterns, not asserted as clinical fact.
Strong understanding of how Large Language Models operate, including context windows, system prompts, and tool-calling logic.
Ability to transform complex business rules into natural, concise conversational experiences.
Portfolio showing conversation flows, prompt strategies, or interactive agent prototypes.