About the Company/Team

Owle AI is an ai powered remote patient monitoring platform that aims to improve healthcare workflows and patient outcomes

About the Role

Key Responsibilities 1. Product Strategy & Business Development * Define the product vision and go-to-market strategy for our AI-powered patient monitoring solution. * Identify and prioritize high-impact use cases that deliver clear ROI for hospitals, clinics, and home health agencies. * Develop pricing models and ROI calculators to drive adoption among healthcare providers and payers. 2. Healthcare Workflow Integration * Design seamless integrations with existing clinical workflows, EHRs, and care management platforms. * Optimize the product to support value-based care initiatives and improve quality metrics (e.g., HEDIS, STAR ratings). 3. AI-Driven Clinical Insights * Collaborate with data scientists to develop predictive models for early intervention and risk stratification. * Ensure AI outputs are clinically relevant and actionable for care teams. 4. Regulatory Navigation & Compliance * Guide the product through necessary regulatory pathways (e.g., FDA clearance for Software as a Medical Device). * Ensure compliance with HIPAA, data privacy regulations, and emerging AI governance frameworks. 5. Stakeholder Engagement & Partnerships * Build relationships with clinical leaders, health system executives, and potential integration partners. * Present our solution at healthcare conferences and to investor groups. Qualifications Required * 5+ years in healthcare product management, with focus on patient monitoring or chronic disease management solutions. * Strong understanding of healthcare business models, reimbursement structures, and RPM billing codes. * Experience bringing a healthcare product from concept to market, ideally in a startup environment. * Proven track record of building relationships with clinical stakeholders and health system decision-makers. * Bachelor's degree in Healthcare Administration, Biomedical Engineering, or related field. Preferred * Master's in Health Informatics. * Clinical background (e.g., RN, NP) or experience working closely with clinical teams. * Familiarity with AI/ML applications in healthcare, particularly in predictive analytics. * Knowledge of FDA regulatory processes for digital health products