Conversation Experience Designer

Wonderful

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Work arrangement
Hybrid
Occupation
Design & Creative
Location
Italy
Compensation
Not disclosed
Apply by
April 10, 2027

About this role

About the Role:

We're looking for a Conversation Experience Designer to shape how peopleexperiencetalking 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.

Key Responsibilities:
  • Conversation & Flow Design:Design end-to-end dialogue journeys (onboarding, error recovery, edge cases, escalation/hand-off) from theuser'scognitive 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.

Qualifications:
  • Experience in UX Writing, Conversation Design, Conversational UX, or Prompt Design for LLM-driven applications.

  • Working familiarity withNLP (Neuro-Linguistic Programming)frameworks — rapport techniques, framing/reframing, presupposition, pacing-and-leading — appliedpragmaticallyas 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.

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