Principal Product Manager - AI Digital Twin

At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health.

We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs , smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives.

Responsibilities

• Define the Digital Twin intelligence system
  • Translate the core loop— Sense → Understand → Decide → Act → Learn —into a scalable agent system
  • Define how the Digital Twin reasons, responds, escalates, and coordinates across experiences
  • Shape the future of AI-driven health guidance across text, voice, and proactive interactions
• Build specialized agent systems:
  • Sensor intelligence
  • Scheduling and coordination
  • Nutrition
  • Exercise, sleep, and stress
  • Insights
  • App help and operational support
  • Care-team interaction orchestration
• Build the platform that enables the company:
  • Create the foundations that allow PMs and teams to build on top of the Digital Twin
  • Establish primitives for:
    • Agent creation and orchestration
    • Memory and personalization
    • Evaluation and monitoring
• Define next-generation conversational experiences:
  • Build deeply personalized experiences across chat, two-way voice, and ambient guidance
  • Define conversation patterns and interaction models that feel natural, trusted, and useful
• Operate at frontier speed:
  • Rapidly move from insight → prototype → experiment → production
  • Partner deeply with AI Engineering , Design, Clinical, and Product teams
  • Continuously evaluate emerging capabilities across LLMs , speech, memory, and agent systems
• Establish metrics and evaluation systems for:
  • Guidance quality
  • Conversation effectiveness
  • Problem resolution
  • Behavior change
• Other duties as assigned.

Qualifications

• 8+ years in Product Management (or equivalent impact), including significant experience building AI-native products
• 3+ years building and shipping products powered by:
  • LLMs
  • Agents
  • RAG
  • Personalization systems
• Track record of owning complex, system-level products
• Experience shipping conversational or voice experiences with measurable impact
• Strong product judgment and analytical instincts:
  • Experimentation
  • Evaluation design
  • KPI definition
• Builder mindset—you move from concept to shipped system quickly