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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management with a focus on Assisted Living and Memory Care solutions, emphasizing strategic differentiation, pricing, and customer ROI. Proficient in collaborating with cross-functional teams to enhance AI and ML product offerings while ensuring model quality and operational success.
Highest-signal resume keywords
Product Management ExperienceAI/ML Model DevelopmentPackaging And Pricing StrategyQuantitative ROI AnalysisStrong Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product ManagementAI/ML Model Quality MetricsWillingness-To-Pay TestingPricing RealizationRelease And Discovery DisciplineQuantitative AnalysisCustomer ShadowingModel Quality ImprovementB2B Product DevelopmentOperational Metrics
Soft Skills
Proactive OwnershipStrong First-Principles ThinkingComfort In Ambiguous Environments
Industry Keywords
Assisted LivingMemory CareCustomer ROIEHR IntegrationComplex Product ShippingData CollaborationVoice AI Experiences
About the role
Key responsibilities & impact- Own strategic differentiation, adoption, and attributable customer ROI for Assisted Living and Memory Care solutions
- Own end-to-end packaging, pricing, and billing, including product modularity, willingness-to-pay validation, consent capture, and billing accuracy tied to installs
- Partner with Finance on packaging, pricing, and billing
- Act as strategic product partner to ML and AI teams across ML, data, hardware, and software
- Set roadmaps and success metrics connecting model and device quality, alert reliability, and location accuracy to operational outcomes
- Expand AI voice experiences
- Build resident baselines that surface episodic and longitudinal deviations
- Tie alert setup to resident acuity through the EHR so deviations lead to care plan or care level changes
- Collaborate with ML, data, software, platform, and finance teams to ship complex products
Requirements
What you’ll need- 7+ years of product management experience
- 3+ years in a B2B organization
- Experience building products using LLMs and other AI/ML models
- Experience defining and improving model quality metrics such as recall and precision
- Experience owning packaging, pricing, and monetization for a B2B product
- Experience with willingness-to-pay testing and price realization
- Strong first-principles product thinking
- Release and discovery discipline
- Quantitative mindset regarding ROI, adoption, unit economics, and success measurement
- Comfort conducting hands-on discovery and customer shadowing
- Proactive ownership and comfort working in an ambiguous environment
- Strong communication skills for simplifying complex technical topics strategically
Benefits
Comp & perks- Competitive base salary and variable compensation where applicable
- Equity
- Semiannual reviews
- AI tools and company-wide training
- Comprehensive medical, dental, and vision coverage
- Mental-health resources and employee-assistance programs
- 401(k) retirement plan
- HSA and FSA options
- Company-paid life and disability insurance
- Flexible PTO
- Five paid sick days annually
- Company-observed holidays
- Company-wide recharge periods
- Up to 12 weeks of paid parental leave for bonding
- Additional leave for birthing parents
- Fertility and family-building benefits
- Paid caregiver and bereavement leave
- Hybrid and remote arrangements based on role and location
- Home-office, internet, or phone reimbursement where applicable