Senior Conversation Designer
New
CanadaFull-TimeSenior
Salary$94,000 to $137,500 CAD
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Job Details
- Experience
- 4+ years
- Required Skills
- FigmaPrototypingLLM
Requirements
- 4+ years of experience in conversation design, UX design, or related fields, with a strong portfolio of shipped conversational experiences.
- Strong grounding in human-centered and interaction design, with the ability to treat language as a core interface element.
- Proven experience designing AI or chatbot experiences, including handling edge cases, failures, and probabilistic model behavior.
- Familiarity with agentic or reusable interaction patterns such as undo/redo, reasoning visibility, citations, and grounding mechanisms.
- Hands-on understanding of large language models, including their capabilities, limitations, and failure modes.
- Experience working with prompt design and system prompts as part of interaction design practice.
- Proficiency in Figma and comfort with prototyping tools, plus strong communication and cross-functional collaboration skills.
- Comfort working in ambiguity and evolving requirements, with an AI-native mindset using modern AI tools in daily workflows.
Responsibilities
- Design and refine conversational and agentic interaction patterns for AI assistants, including reasoning visibility, action controls, and grounding or citation behaviors.
- Define dialogue flows, conversation architecture, and turn-level interaction models that shape how the assistant responds, clarifies, and follows up.
- Establish and evolve the assistant’s voice, tone, and persona, including system-level prompting behaviors to ensure consistency across products.
- Design robust error handling, fallback, and recovery flows to maintain useful interactions when AI outputs are uncertain or incorrect.
- Collaborate closely with product, engineering, AI research, and design teams to deliver scalable conversational capabilities integrated into real user workflows.
- Contribute to shared design pattern libraries, ensuring conversational standards are reusable across platforms rather than isolated solutions.
- Define and track conversation quality metrics such as task success, user trust, and recovery effectiveness to continuously improve experience quality.
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