Conversational Designer

Hello Patient

20h

About The Position

Hello Patient is hiring a Conversational Designer to shape how our AI agents communicate with patients in real, high-stakes conversations. This role sits at the intersection of product, behavior, and language. You won't be building flows from scratch — you'll be iterating on and improving existing agent behaviors to make them more effective, more reliable, and more human in real-world conditions. Our agents have seconds to build trust, handle objections, and complete tasks without human intervention. You'll work closely with Product and Engineering team members to evaluate how conversations perform in production and identify opportunities to improve outcomes — driving measurable impact on containment rate, task completion, and overall patient experience. We're looking for sharp, curious thinkers who are deeply interested in human behavior and energized by solving complex, ambiguous problems through iteration. If you think in systems and care about how AI actually performs in the real world, this role is for you!

Requirements

2+ years in a relevant role — conversation design, UX writing, prompt engineering, linguistics, behavioral research, or similar
Exceptional critical thinking and problem-solving skills
Strong ability to understand and model human behavior
Experience with structured thinking (prompts, logic, systems, or frameworks)
High curiosity and willingness to challenge assumptions

Nice To Haves

Background in linguistics, psychology, philosophy, or a field that trained you to think rigorously about language and behavior
Experience with AI products, chatbots, LLMs, or prompt engineering
UX, conversation, or behavioral design experience
Comfortable in fast-paced, early-stage environments

Responsibilities

Design AI Behavior in Real Conversations
Define how agents respond across real-world scenarios (frustration, urgency, confusion, resistance)
Design conversations that balance empathy, efficiency, and task completion
Help agents establish trust fast and guide users toward successful outcomes
Improve Performance & Outcomes
Analyze real interaction data to identify drop-off points and areas for improvement
Optimize for containment rate — resolving conversations without human intervention
Iterate quickly based on production metrics and qualitative conversation review
Build & Refine Prompting Systems
Write and test structured prompts that shape agent behavior and tone
Partner with Product and Engineering to integrate conversational logic into the product
Develop reusable frameworks that scale across conversation types and use cases