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.
Responsibilities
Own product strategy for assisted living and memory care: define strategic direction, differentiation, and roadmap for solutions serving senior living communities.
Drive product adoption and customer ROI: establish success metrics and demonstrate value 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/ML teams to define product requirements, roadmaps, and success criteria.
Establish and improve product quality metrics: define and monitor key indicators such as recall, precision, alert reliability, and location accuracy.
Advance AI-powered resident monitoring: lead expansion of AI voice experiences and development of resident baselines.
Connect insights to care planning: develop strategies for integrating alert configuration with resident acuity and EHR data.
Coordinate cross-functional product development: work closely with engineering, ML, data, platform, hardware, software, and finance teams.
Lead customer discovery and market validation: conduct customer interviews, on-site observations, and hands-on research.
Optimize unit economics and commercial performance: measure adoption, revenue realization, ROI, and cost to serve.
Drive product execution and continuous improvement: apply disciplined discovery, prioritization, release planning, and performance measurement.
Requirements
Extensive product management experience: at least 7 years of product management experience, including a minimum of 3 years in a B2B organization.
AI and machine learning product expertise: demonstrated experience building products powered by large language models (LLMs) and other AI/ML technologies, including defining, evaluating, and improving model quality metrics such as recall and precision.
B2B monetization experience: proven ownership of product packaging, pricing, and monetization strategies, including willingness-to-pay testing, pricing validation, and measurement of realized revenue.
Strong strategic product thinking: ability to reason from first principles, identify high-impact opportunities, translate customer problems into clear product strategies.
Quantitative and analytical mindset: experience measuring product adoption, customer ROI, unit economics, and business performance.
Cross-functional technical leadership: ability to collaborate effectively with ML, data, engineering, hardware, software, platform, and finance teams.
Excellent communication skills: ability to explain complex technical concepts, AI capabilities, and performance metrics in clear, commercially relevant terms.