Senior Product Manager, Provider and RWD Health Systems Applications

Natera is seeking a Senior Product Manager to build and scale physician-facing real-world data (RWD) applications and workflow integrations. The role owns a physician-facing application for patients’ molecular and clinical journeys and partners with cross-functional teams to deliver actionable clinical insights and a de-identified research platform for health systems.

Responsibilities:

• Collaborate with clinical product management, EMR, user experience product management, marketing, medical and a broad cross functional team to drive product strategy and roadmap
• Drive integration of genomic tests into the platform (Signatera/ctDNA, hereditary risk, tumor/normal and NGS profiling, liquid CGP, etc.) as part of a unified oncology digitized experience
• Work closely with AI/ML teams to build applications for patient-level insights and clinic-level insights, including cohort comparison, clinical trial matching, and cohort analytics back to individual patient care
• Partner with legal, privacy, and security so HIPAA obligations, PHI handling, and data-governance requirements are designed into the product
• Own the single- and multi-patient views that bring a patient's molecular results and clinical events together in one physician-facing application
• Integrate AI-powered clinical trial matching that connects patients and physicians to the most relevant investigational therapies based on molecular, clinical, and patient criteria
• Help reduce friction points at both the provider and patient level to enroll in clinical trials
• Partner across Natera to enable EMR/EHR integration and mobile access, ensuring seamless experiences for providers
• Contribute to an analytics framework that captures user analytics and informs continuous product development
• Support delivery of a physician-facing platform that highlights therapies, tracks treatment response, and monitors disease progression in real time
• Ship tools and functionality to aid physician collaboration
• Connect molecular and clinical findings to relevant treatment pathways and outcomes data to make testing more actionable at the point of care
• Partner with Product Marketing, MSL, Sales, and Clinical Operations on enablement, training, and adoption
• Partner with the Health Systems BU to define, build, and launch a de-identified, aggregated research platform that turns clinic data into a health-system-wide resource for precision medicine and research
• Engage with physicians, KOLs, and academic collaborators to translate clinical needs into features
• Help track KPIs centered on the physician experience with RWD at the clinic
• Support representation of RWD at the clinic at conferences, industry forums, and customer discussions as needed

Requirements:

• 5+ years of product management or related experience, including experience in healthcare, engineering, genomics, or AI/ML
• Deep understanding of the oncology domain with direct experience building requirements and collaborating with physicians
• Experience building clinician-facing software that fits into real clinical workflows
• Experience delivering AI/LLM-derived clinical data into provider-facing products, including human-in-the-loop review, confidence labeling, and data transparency
• Backlog ownership: writing and grooming user stories in Jira and driving PM perspective in Agile ceremonies (sprint planning, standups, retros)
• Hands-on with data: comfortable writing SQL (or equivalent) to check status, investigate issues, and measure outcomes, and in the habit of asking 'is this correct, and are we ready to ship?'
• Track record of setting product KPIs and moving them, with specifics on adoption, engagement, and quality
• Fluency in oncology / genomics clinical concepts (staging, lines of therapy, biomarkers, MRD/ctDNA)
• Commitment to user-centered design thinking, with a track record of translating user needs into intuitive and impactful product experiences
• Strong written and verbal communication skills with clinical, technical, and commercial audiences
• Using AI tools day to day to prototype and draft specs
• EHR integration experience (SMART on FHIR, HL7/FHIR, Epic or other EHR app ecosystems)
• Strong technical fluency; comfortable working with engineers, scientists, and data teams, and reasoning about what AI/ML and LLMs can and can't reliably do
• Familiarity with PHI-handling applications, HIPAA, or regulated clinical software
• Familiarity with FDA clinical decision support or SaMD considerations