Dexcom

Compensation

Full Description

Partner with commercial teams to ensure alignment with market needs and business priorities. Insight Architecture: Design scalable frameworks for delivering behavioral, contextual, and predictive insights. Partner with data science to turn raw signals into personalized recommendations. Data Integration: Identify key data inputs and support integration efforts to AI-driven insights. Cross-Functional Collaboration: Work across engineering, clinical, regulatory, legal, commercial and other teams to deliver safe, compliant, and globally compliant solutions. Experience Alignment: Ensure insights are surfaced in intuitive, meaningful ways that support user goals and drive engagement. Evidence-Driven Innovation: Collaborate with research and clinical teams to incorporate AI, clinical decision support and alerts responsibly and validate impact through evidence-based insights. Evidence-Driven Innovation: Validate impact through collaboration with research and clinical teams, ensuring insights drive real-world outcomes. Product Management Expertise: 7+ years in product management or a closely related role, ideally in digital health, wellness platforms, or data-driven services. Insight & Platform Fluency: Experience defining and delivering personalized insights, with a strong grasp of data pipelines, APIs, and modular service architectures. Cross-Functional Execution: Proven ability to lead across engineering, clinical, regulatory, and commercial teams in a collaborative, fast-paced environment. Regulated & Non-Regulated Contexts: Comfort navigating regulated domains (e.g., SaMD, HIPAA) while also building non-regulated features that scale globally. SaMD & Clinical Decision Support: Experience contributing to the development of Software as a Medical Device (SaMD) or Clinical Decision Support (CDS) tools, including involvement in regulatory submissions or validation processes. AI/ML in Healthcare: Applied knowledge of artificial intelligence and machine learning in clinical and/or wellness contexts, with experience addressing bias, transparency, and evidence-based validation. Privacy & Interoperability Standards: Familiarity with healthcare data standards and regulations such as the Health Insurance Portability and Accountability Act (HIPAA), General Data Protection Regulation (GDPR), and Fast Healthcare Interoperability Resources (FHIR). Global & Enterprise Scale: Experience supporting international or enterprise-scale products, including localization, regional compliance, and multi-market deployment. Architecture Awareness: Exposure to modern software architectures such as microservices, APIs, and cloud-native platforms, and understanding how these influence product scalability, performance, and compliance. Platform Integration & Technical Fluency: Experience defining product requirements for clinical workflows and data-driven services, Familiarity with how product decisions interface with data pipelines, application programming interfaces (APIs), and modular service architectures. Systems-Level Product Thinking: Demonstrated ability to design modular, reusable product components or workflows that scale across platforms, user types, and geographies. Data-Driven Product Development: Experience using analytics, performance metrics, and user feedback to inform product decisions and drive continuous improvement. Typically requires a Bachelor's degree and a minimum of 13+ years of related experience. At this level a graduate degree may be expected with 6 years of related experience.