There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows, with minimal prompting.
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. Our objective is to help users complete tasks daily enjoyable with over ~90%* reduced time.
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 HCI. The assistant must communicate clearly, set expectations, ask for the right input, explain uncertainty, and help users stay in control across long-running workflows.
There are no established frameworks for this kind of AI conversation design at the level of reliability and context depth we are building. You will help define them.
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.
The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product
For design roles, we expect candidates to submit a portfolio as part of the application process.
If there appears to be a fit, we'll reach out to schedule 2 rounds of interviews and a design assessment.
Applications are evaluated by our team members. Interviews will be conducted via virtual meetings and/or onsite.
We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.
Originally posted on Himalayas