Company Overview:

TapestryHealth is dedicated to improving the quality of care for patients in skilled nursing facilities. We deliver innovative, technology-enabled healthcare solutions designed to enhance patient outcomes, optimize operations, and support the unique needs of long-term care providers. With a team of experienced professionals and cutting-edge tools, we collaborate with our partners to ensure the highest standards of care while reducing barriers to access and efficiency. Together, we are transforming healthcare for the better — one patient, one facility, and one solution at a time.

Position Overview

Tapestry Health is expanding. We have built a proven software-enabled services platform for chronic care management in skilled nursing facilities — and we are now turning our attention to what comes next: enabling physician practices to deliver CCM using our technology, building out an ACO-ready offering, and unlocking the data and analytics layer underlying all of it.

This role is for a product leader who wants to build something new inside a company with real infrastructure, real customers, and real clinical credibility. You will not be starting from a blank page — you will be extending a platform that already works and taking it into markets that are ready for it.

Key Responsibilities:

This is an outward-facing, high-ambiguity role. You will be responsible for defining and building the product surface for Tapestry's expansion into new markets and customer segments.

• Physician enablement platform — defining how independent and group physician practices can leverage Tapestry's technology to deliver remote CCM services to their own patient panels

• ACO product offering — translating the requirements of accountable care (attribution, quality reporting, total cost of care visibility) into product features and workflows that serve both providers and the ACO entity

• Data and analytics products — working with engineering and clinical ops to define the external-facing analytics and reporting layer: risk stratification, quality metrics, MIPS/QCDR reporting, and longitudinal patient data

• Market discovery — owning the discovery process for new segments, including customer interviews, design partnerships, and competitive landscape analysis

• Go-to-market partnership — working closely with BD and clinical leadership to ensure new product surfaces are launchable, trainable, and sellable

• Build vs. buy assessment — evaluating where to extend the existing platform vs. partner or integrate with third-party solutions (e.g., EHR integrations, claims data feeds, interoperability infrastructure)

Required Qualifications:

• 6+ years of product management experience, with at least 2 years in a role that required launching a net-new product or entering a new market segment

• Deep familiarity with value-based care, ACO models, or physician practice operations — you understand how practices make money, how they manage risk, and what keeps practice administrators up at night

• Comfort with regulatory and compliance complexity — CMS program requirements, MIPS/QCDR reporting, ACO attribution logic, or equivalent experience navigating policy-driven product constraints

• Strong discovery instincts — you know how to run customer interviews, synthesize ambiguous signal, and make a confident bet on what to build without waiting for perfect information

• Commercial awareness — you can write a business case, assess market sizing, and engage meaningfully with BD on what makes a new offering sellable

Desired Skills:

• Experience at a health IT company that sold to physician groups, IPAs, or ACO entities — you have sat across the table from a practice manager or CMO and understood what they need

• Familiarity with interoperability infrastructure: FHIR, HL7, EHR API integrations, or claims data pipelines — not as an engineer, but as a PM who has navigated these constraints

• Experience with platform or marketplace models — defining how a technology platform enables third parties to deliver services using your infrastructure

• Prior work on data or analytics products in a clinical context — quality reporting, risk scoring, population health dashboards

• Fluency with AI-assisted product workflows — using LLMs for discovery synthesis, competitive research, or spec drafting as a daily practice