
Principal Product Manager (Core Artificial Intelligence)
Twin Health
Job description
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We are building a new interface to health: the Digital Twin
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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
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To the member, it feels like a single, ever-present guide
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Under the hood, it’s a coordinated system of AI agents and human care working as one
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We’re looking for a Principal Product Manager to help define and build the core intelligence system at the heart of Twin
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This role sits at the intersection of:
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LLMs and agent systems
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Human + AI orchestration
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Real-time health guidance
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Voice and conversational interfaces
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Platform and developer ecosystems
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Define how the Digital Twin behaves across text, voice, and proactive experiences
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Build specialized sub-agents that plug into the core Digital Twin
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Create the platform and primitives that enable teams across Twin to build agents safely and quickly
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Push the boundaries of what’s possible with modern AI systems in healthcare
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Define the Digital Twin intelligence system
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Translate the core loop—Sense → Understand → Decide → Act → Learn—into a scalable agent system
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Define how the Digital Twin reasons, responds, escalates, and coordinates across experiences
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Shape the future of AI-driven health guidance across text, voice, and proactive interactions
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Build specialized agent systems
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Sensor intelligence
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Scheduling and coordination
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Nutrition
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Exercise, sleep, and stress
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Insights
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App help and operational support
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Care-team interaction orchestration
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Build the platform that enables the company
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Create the foundations that allow PMs and teams to build on top of the Digital Twin
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Establish primitives for:
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Agent creation and orchestration
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Memory and personalization
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Evaluation and monitoring
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Define next-generation conversational experiences
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Build deeply personalized experiences across chat, two-way voice, and ambient guidance
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Define conversation patterns and interaction models that feel natural, trusted, and useful
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Operate at frontier speed
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Rapidly move from insight → prototype → experiment → production
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Partner deeply with AI Engineering, Design, Clinical, and Product teams
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Continuously evaluate emerging capabilities across LLMs, speech, memory, and agent systems
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Establish metrics and evaluation systems for:
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Guidance quality
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Conversation effectiveness
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Problem resolution
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Behavior change
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Other duties as assigned
Benefits
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401(k) for retirement
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Unlimited PTO
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High-quality medical, dental, and vision coverage
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HSA/FSA plans, life insurance, and disability
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Support from licensed financial wellness advocates
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Paid parental leave for birth/adoption (16 weeks of 100% paid leave for the primary caregiver and 8 weeks for the secondary)
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Access to benefits supporting overall well-being (eg. pet insurance, gym discounts)
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Stipend program (100% personalized and inclusive)- RAG
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3+ years building and shipping products powered by:
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Evaluation design
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Builder mindset—you move from concept to shipped system quickly
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Experience shipping conversational or voice experiences with measurable impact
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LLMs
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Experimentation
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Personalization systems
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Agents
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Strong product judgment and analytical instincts:
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KPI definition
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Track record of owning complex, system-level products
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8+ years in Product Management (or equivalent impact), including significant experience building AI-native products