Position Summary

• Lead the design of AI-powered features with a focus on Conversational AI assistants, proactive recommendations, generative content tools, and adaptive learning flows.
• Create conversation frameworks  tone, style, and response patterns  that ensure AI interactions are consistent, engaging, and trustworthy across products and channels (in-app, web, voice, SMS).
• Prototype rapidly to explore conversation flows, multi-turn interactions, and multi-modal outputs (text, voice, visual).
• Collaborate closely with product managers, engineers, data scientists, research and content strategists to align user needs with AI capabilities, from prompt design to model selection.
• Define company-wide AI design principles and interaction patterns that can scale across multiple products and use cases.
• Lead zero-to-one design explorations, shaping net-new interaction models grounded in research and usability testing.
• Advocate for AI capabilities and influence technical direction.
• Mentor designers on AI design best practices, conversational UX, and emerging interaction models.
• Partner with research from concept through execution  e.g., uncovering user needs, measuring performance, etc.  to iteratively build League s AI experiences and measure impact.
• Advocate for ethical AI design, bias mitigation, and transparency in user-facing AI interactions.

Security-Related Responsibilities

• Compliance with Information Security Policies
• Ensure access management is performed in compliance with the employee's role and responsibilities
• Responsibility and accountability for executing League's policies and procedures within the department/ team
• Notification of HR, Legal, Compliance & Security of any incidents, breaches or policy violations

What You'll Bring

• 7+ years in product design, with 2+ years designing Conversational AI or AI-driven product experiences.
• Proven track record designing for chatbots, virtual assistants, or voice interfaces.
• Deep understanding of conversational design principles, including multi-turn flows, error recovery, and adaptive responses.
• Strong grasp of AI/LLM capabilities and limitations  prompt engineering, context windows, model configuration, and response optimization.
• Ability to design for multi-modal experiences (voice, text, generative images, video).
• Portfolio showcasing real-world AI products with deep reasoning behind design decisions.

Nice-to-Have

• Experience in health tech or other regulated industries.
• Familiarity with AI ethics, bias reduction, and trust frameworks.
• Hands-on experience with tools like Voiceflow, Botmock, Dialogflow, LangChain, or Rasa.
• Technical fluency to collaborate with engineers on AI integration and feasibility.