Full-Time

Product Manager

Client Delivery

Lirio

Lirio

51-200 employees

Behavioral-AI health engagement personalisation engine

Compensation Overview

$115k - $135k/yr

No H1B Sponsorship

United States

Remote

Onsite onboarding in Tennessee during first week; remote work allowed otherwise.

Category
Product (1)
Required Skills
Product Management
Machine Learning
Data Analysis

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Requirements
  • 3+ years of product management experience, preferably in SaaS or enterprise technology
  • Strong product fundamentals, including discovery, requirements definition, outcomes-driven prioritization, and translating insights into clear product direction
  • Experience leading enterprise product launches, implementations, or client-facing delivery initiatives
  • Skilled at managing client and stakeholder expectations, including negotiating tough trade-offs while maintaining alignment
  • Strong communicator who distills complex ideas for technical and non-technical audiences, including customers and senior executives
  • Comfortable using data and metrics to validate assumptions and demonstrate business value
  • Innovative, structured problem-solver who turns ambiguity into clear direction
  • Skilled at using AI-assisted tools and data-informed insights to strengthen requirements, accelerate decisions, identify risks, and improve product outcomes
  • Familiarity with healthcare data and regulatory requirements strongly preferred
Responsibilities
  • Define and own the roadmap for client-driven product capabilities, balancing committed client outcomes, product priorities, and reusable growth
  • Decide what to build and what to defer: run continuous discovery with clients and cross-functional partners to validate the problem, demand, and value
  • Use data, market research, and client signals to prioritize across competing ideas, weighing effort against business and user impact, surfacing opportunities and risks, and backing recommendations with clear success metrics
  • Translate priorities into a clear, actionable backlog with well-defined requirements, ensuring teams understand what to build, why it matters, and how success will be measured
  • Grow self-service by turning repeatable operational needs into configurable product features, reducing reliance on manual delivery over time
  • Lead the full product delivery cycle across teams, from concept through build, launch, and continuous improvement
  • Create and maintain the artifacts that drive work, from business intent and use cases through wireframes, prototypes, workflows, epics, and user stories
  • Steer work through Lirio's AI Development Lifecycle, driving the product review at each gate to keep solutions on scope, on track, and tied to customer value
  • Serve as the product point of contact for client delivery counterparts, driving alignment on plans, timelines, and expectations
  • Support enterprise growth by partnering with the commercial team to identify client problems Lirio's product can solve and surface expansion opportunities
  • Communicate roadmap, trade-offs, dependencies, and risks transparently to internal and external stakeholders
  • Partner with product, behavioral science, AI/ML, engineering, and operations to assess product fit and feasibility for client solutions
  • Collaborate across the Lirio Factory to align resources, resolve dependencies, and deliver high-quality outcomes on committed timelines
  • Surface recurring needs across clients and share insights with other product managers to inform broader roadmap priorities
Desired Qualifications
  • Healthcare, digital health, payer/provider, retail health, or life sciences experience
  • Experience with AI/ML-enabled products or AI-assisted workflows
  • Familiarity with healthcare data, HIPAA, PHI/ePHI, or regulated environments
  • Startup or high-growth company experience

Lirio uses behavioral science and AI to improve patient engagement and health outcomes. Its Precision Nudging personalisation engine analyzes individual behaviors, communication patterns, and social/clinical context to deliver hyper-personalized messages and interventions that encourage adherence and screenings. By moving beyond demographics, it enables real-time, one-to-one outreach to sustain engagement across care journeys, partnering with health systems, payers, and provider organizations. The goal is to reduce gaps in care and lower total cost of care by guiding patients through their evolving healthcare journey.

Company Size

51-200

Company Stage

N/A

Total Funding

$33.1M

Headquarters

Knoxville, Tennessee

Founded

2017

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Simplify Jobs

Simplify's Take

What believers are saying

  • October 2025 Precision Nudging for Life Sciences opened a larger pharma market.
  • Cone Health plans five Lirio interventions, showing repeatable enterprise adoption.
  • 2024 Nashville expansion and leadership hires signaled operational scaling beyond Knoxville.

What critics are saying

  • Lirio still lacks visible scaled revenue, despite 2026 seed filings and product launches.
  • Life-sciences messaging faces crowded competition from Salesforce, Veeva, and patient-support vendors.
  • If pharma pilots stall, Lirio's niche platform becomes a services-heavy science project.

What makes Lirio unique

  • Precision Nudging pairs behavioral science with agentic AI and omnichannel activation.
  • Lirio expanded from health systems into life sciences in October 2025.
  • Bon Secours Mercy Health remains a strategic anchor and board-level investor.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Company Match

10 paid holidays + holiday week company closure

Unlimited Paid Time Off

Hybrid Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

1%
Business Wire
Feb 5th, 2026
Life sciences firms struggle with patient engagement as 70% cite adherence challenges costing $100B annually

Lirio, a behavioural science and AI platform, has released research revealing that traditional personalisation approaches in life sciences fail to improve patient engagement. The survey of over 75 life sciences executives, conducted by Sage Growth Partners, found that more than 70% identified clinical trial engagement and medication adherence as persistent challenges. The report highlights that nearly 50% of patients don't take medications as prescribed, contributing to $100 billion in annual preventable healthcare costs and 125,000 avoidable deaths. Despite growing direct-to-consumer strategies, only half of organisations use digital health technologies for patient engagement, and fewer than 3% partner with specialised vendors. The findings come as new regulations reshape pharmaceutical advertising, prompting life sciences companies to rethink patient engagement strategies beyond traditional mass messaging approaches.

Teknovation.biz
May 5th, 2025
Lirio Releases Report Titled (Re)Defining Personalization

Lirio, the Knoxville-based pioneer in the union of behavioral science and artificial intelligence to deliver better health outcomes, has released new industry findings on the significant impact that advanced health... The post Lirio releases report titled (Re)defining Personalization appeared first on Teknovation.biz.

U.S. Securities and Exchange Commission
May 2nd, 2025
SEC FORM D

The Securities and Exchange Commission has not necessarily reviewed the information in this filing and has not determined if it is accurate and complete.The reader should not assume that the information is accurate and complete.

U.S. Securities and Exchange Commission
May 2nd, 2025
SEC FORM D/A

The Securities and Exchange Commission has not necessarily reviewed the information in this filing and has not determined if it is accurate and complete.The reader should not assume that the information is accurate and complete.

Silverwood Partners
Feb 8th, 2024
Healthcare Private Placement and M&A Transactions Review Week Ending Feb 4, 2024 | Silverwood Partners

Strategy | Financing Transactions Private Placement / Financing Transactions Cellanome: The company raised $150 million of Series B venture funding from Premji Invest (US) and undisclosed investors on January 29, 2024, putting the company’s pre-money valuation at $375 million. The company is a developer of a unique multi-omics platform designed to measure biology at an unprecedented […]