Principal Product Manager, AI Experiences

Twin Health is a digital health company using AI Digital Twin technology to improve metabolic health and prevent chronic diseases. The Principal Product Manager, AI Experiences will define and lead AI-native experiences for members and care teams, including conversational interfaces, personalized content, insights, and actions. The role owns product strategy, interaction behaviors, evaluation systems, experimentation, and cross-functional delivery to improve behavior change, engagement, and clinical outcomes.

Responsibilities:

• Define the product vision, strategy, roadmap, and outcomes for AYT
• Evolve AYT from a chat destination into an intelligent experience available throughout Twin
• Define when AI should respond, proactively engage, surface an insight, recommend an action, or get out of the way
• Drive meaningful improvements in behavior change, engagement, and clinical outcomes
• Define how care-team members use AI to understand what matters about a member, ask questions, explore signals, and determine the right next action
• Design experiences that reduce cognitive and operational burden while increasing the quality and effectiveness of care
• Define how conversation + UI + personalized content + insights + actions work together as one experience
• Make insights, charts, recommendations, plans, and content conversational—allowing users to ask questions, explore, understand why something matters, and take action
• Define when the right interaction is chat, voice, traditional UI, proactive guidance, or a combination
• Create reusable interaction patterns that enable other Twin teams to build consistent AI-native experiences
• Establish interaction and conversation patterns that make AI feel natural, personalized, useful, and trustworthy
• Define proactive vs. reactive behaviors, context and continuity, human/AI handoffs, and escalation
• Design experiences that work well despite the imperfect and non-deterministic nature of AI
• Measure guidance quality, conversation effectiveness, problem resolution, member trust, and Care Team effectiveness
• Connect AI experience metrics to behavior change, engagement, and clinical outcomes
• Combine AI evaluation with product experimentation and real-world user outcomes
• Rapidly move from insight → prototype → experiment → production → learning
• Partner deeply with Design, AI Engineering, Clinical, Data, and Product teams
• Continuously evaluate emerging capabilities across LLMs, agents, voice, personalization, and multimodal experiences
• Other duties as assigned

Requirements:

• 8+ years of Product Management experience, including significant ownership of consumer- or user-facing products
• Significant recent experience building and shipping AI-native or agentic products used directly by end users
• Demonstrated ownership of an AI agent that was central to the user's experience or workflow
• Experience defining and measuring the quality of AI interactions using both AI evaluation techniques and product/outcome metrics
• Strong understanding of LLM and agent capabilities, limitations, and failure modes
• Strong experimentation and analytical skills, including KPI definition and evaluation design
• Ability to operate from product vision and strategy through detailed interaction decisions and rapid experimentation
• Builder mindset—you move quickly from concept to prototype to shipped experience
• Healthcare experience is valuable but not required