Principal Product Manager, Assisted Living & Memory Care

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Product Manager, Assisted Living & Memory Care based in the United States.

Overview

We are seeking a strategic and data-driven Principal Product Manager to lead product strategy, monetization, and innovation for technology solutions serving assisted living and memory care communities. In this senior role, you will define product packaging, pricing, and billing strategies that demonstrate measurable return on investment for senior living operators. You will partner closely with AI, machine learning, data, hardware, software, and finance teams to develop intelligent solutions that improve resident safety and empower caregivers with actionable insights. Your work will shape the evolution of AI-powered voice experiences, real-time alerts, and personalized resident monitoring capabilities. You will establish clear performance metrics that connect technical accuracy and product reliability to tangible improvements in care quality, staff efficiency, and operational outcomes. Combining customer discovery, commercial strategy, and technical product leadership, you will drive adoption and sustainable business growth. This is an opportunity to influence the future of senior care through innovative technology that supports safer, more responsive, and more dignified living environments.

Accountabilities

• Own product strategy for assisted living and memory care: Define the strategic direction, differentiation, and roadmap for solutions serving senior living communities, ensuring products address customer needs and deliver measurable business and care outcomes.
• Drive product adoption and customer ROI: Establish clear success metrics and demonstrate the value of products for operators, community executives, caregivers, and residents through improved safety, response times, and workforce efficiency.
• Lead packaging, pricing, and monetization: Own end-to-end product packaging, pricing, and billing strategies, including product modularity, willingness-to-pay research, pricing validation, consent capture, and accurate billing in collaboration with Finance.
• Translate AI and machine learning capabilities into customer value: Partner with AI and machine learning teams to define product requirements, roadmaps, and success criteria that connect model performance to meaningful real-world outcomes.
• Establish and improve product quality metrics: Define and monitor key indicators such as recall, precision, alert reliability, and location accuracy, ensuring technical performance supports timely, relevant, and actionable information for caregivers.
• Advance AI-powered resident monitoring: Lead the expansion of AI voice experiences and the development of resident baselines that identify both short-term deviations and longer-term changes in resident behavior or condition.
• Connect insights to care planning: Develop strategies for integrating alert configuration with resident acuity and electronic health record (EHR) data, helping ensure that meaningful deviations can inform appropriate care plans and care-level adjustments.
• Coordinate cross-functional product development: Work closely with engineering, ML, data, platform, hardware, software, and finance teams to deliver complex products that balance customer impact, technical feasibility, operational reliability, and scalable costs.
• Lead customer discovery and market validation: Conduct customer interviews, on-site observations, and hands-on research to understand workflows, validate assumptions, identify unmet needs, and test product and pricing concepts.
• Optimize unit economics and commercial performance: Measure adoption, revenue realization, return on investment, and cost to serve, using quantitative insights to prioritize opportunities and improve long-term product sustainability.
• Drive product execution and continuous improvement: Apply disciplined discovery, prioritization, release planning, and performance measurement to deliver impactful products in a dynamic and evolving market.

Requirements

• Extensive product management experience: At least seven years of product management experience, including a minimum of three years in a business-to-business (B2B) organization.
• AI and machine learning product expertise: Demonstrated experience building products powered …