Principal Product Manager, Core AI

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.

Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.

Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace® .

With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world.

Join us as we reinvent the standard of care in metabolic health.

We are building a new interface to health: the Digital Twin.

The Digital Twin is a living, real-time model of each member’s metabolism and behavior—continuously learning from sensors, meals, sleep, movement, labs, and daily choices. It detects patterns, anticipates what’s coming, and guides members toward better health through timely, personalized actions.

To the member, it feels like a single, ever-present guide.

Under the hood, it’s a coordinated system of AI agents and human care working as one.

We’re looking for a Principal Product Manager to help define and build the core intelligence system at the heart of Twin.

This role sits at the intersection of:

• LLMs and agent systems
• Human + AI orchestration
• Real-time health guidance
• Voice and conversational interfaces
• Platform and developer ecosystems

You will:

• Define how the Digital Twin behaves across text, voice, and proactive experiences
• Build specialized sub-agents that plug into the core Digital Twin
• Create the platform and primitives that enable teams across Twin to build agents safely and quickly
• Push the boundaries of what’s possible with modern AI systems in healthcare

• →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.

• 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