Conversational AI Designer - AI Health Assistant (x/f/m)
DoctolibParis, Paris, FrancePosted 30 March 2026
Job Description
We provide a unified Operating System for health professionals that spans appointment management, electronic health records, teleconsultations, billing, patient communication, care coordination, and – increasingly – embedded AI features. Our platform powers 25M appointments and 8M health reminders monthly, with a team of 900+ in Tech Product.
We believe technology AI can help people be healthier. To make that happen, we're building both a revolutionary OS for health professionals and a health companion for people that integrates seamlessly with our OS. This companion harnesses AI, clinical expertise, and comprehensive health data, all within an accessible and modern design. To drive this ambition, we’re strengthening the Health Companion team working on the AI Health Assistant.
What you'll do
As the Conversational AI Designer for the AI Health Assistant, you will build and scale one of Doctolib's most ambitious products – an AI health assistant that will answer people’ health questions, provide verified medical information, guide them through the care pathway, and proactively support them. This product will be part of a revolutionary health companion that will transform how +90 million people prevent health problems, access care, and manage their health daily. Our vision is to create the world's best AI Health Assistant that empowers people to be healthier through personalized, proactive, and intelligent guidance recommended by their healthcare professionals.
This is a unique opportunity to leverage cutting-edge agentic AI to build a product that will have a profound impact on millions of lives. You will pioneer a new era of healthcare interfaces, moving from reactive to proactive assistance, from explicit to implicit interactions, and from command-based to intent-based experiences.
What we expect from you
Design, prototype, and iterate on complex conversational flows and interaction models for the AI Health Assistant across various health use cases, ensuring clear, empathetic, and clinically safe user experiences.
Define the AI Health Assistant's persona, tone of voice, and language guidelines, ensuring consistency with Doctolib’s brand and the sensitive nature of healthcare interactions.
Translate complex medical information and care pathways into accessible, natural, and empowering dialogue that guides users effectively.
Write, edit, and maintain all in-bot copy, prompts, responses, error messages, and system turns, ensuring clarity, accuracy, and compliance with medical and regulatory standards.
Continuously monitor, analyze, and refine conversational data (e.g., failed intents, handoff points) to drive measurable improvements in dialogue effectiveness, user trust and agent performance.
Conduct or support user research, A/B testing, and usability studies focused on conversational flows to gather feedback and validate design decisions.
Partner closely with ML Engineers to define agent requirements (intents, entities, training phrases) and optimize model performance for high accuracy with a constant focus on safety and user experience.
Collaborate cross-functionally with Product Managers and Medical Experts to translate user insights and clinical knowledge into impactful conversational features.
Who you are
You have 5+ years of professional experience as a Conversational Designer, UX Writer, or AI Trainer, with a portfolio showcasing complex, multi-turn conversational flows
You bring deep expertise in conversational interfaces for AI-native products, ideally in regulated or high-stakes domains.
You have proven experience designing and launching conversational products at massive scale (millions of users), demonstrating success in shaping user habits and driving engagement/retention metrics
You possess a good understanding of LLMs, Evals, and have experience collaborating with ML Engineers to optimize model performance.
You excel at writing production-grade, empathetic, and clinically precise conver ... (truncated, view full listing at source)
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