Conversation Designer, HCI

Company

A1 is building a proactive AI smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows. Our product focuses on achieving high reliability for long-running workflows, persistent context, and real‑world task completion. The system must handle multi‑step reasoning, interact with external tools, and remain reliable despite non‑deterministic model behavior.

You will design how the AI communicates with users – what it says, when it says it, how it asks for clarification, how it explains actions, and how it handles mistakes. This role is central to human‑computer interaction. The assistant must communicate clearly, set expectations, ask for the right input, explain uncertainty, and help users stay in control across long‑running workflows.

• Design conversational flows for AI interactions across chat, task completion, and assistant‑guided workflows.
• Define how the AI sets expectations, signals uncertainty, asks for input, and communicates errors or limitations.
• Develop prompts, response templates, fallback patterns, and assistant behaviors for multi‑step and long‑running tasks.
• Design how users supervise, interrupt, correct, and redirect AI behavior through conversation.
• Design for trust and transparency without overwhelming users with unnecessary detail.
• Work with product, engineering, and ML teams to define how the assistant handles ambiguity, memory, and context across sessions.
• Analyze conversation logs to identify failure points, misaligned expectations, and recovery gaps.
• Define tone, voice, and response principles across different user needs and product surfaces.
• Build and maintain conversation design standards and pattern libraries.

• Experience in conversation design, UX writing, interaction design, or a related field.
• Strong understanding of conversational UX for AI products, chatbots, voice assistants, or assistant‑led workflows.
• Ability to design multi‑turn interactions, including prompting flows, error recovery, clarification, and context handoff.
• Clear thinking about how AI systems should communicate trust, limitations, progress, and failure.
• Experience collaborating with engineers, product managers, and ML teams.
• Comfort working with evolving product requirements and non‑deterministic system behavior.
• Strong attention to language, tone, clarity, and how words land in context.
• Ability to think about long conversation arcs, user intent over time, and memory‑aware interactions.