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Product Manager - Diagnosis Insights

Navina

Navina

Product
Illinois, USA
Posted on Mar 13, 2026

Product Manager - Diagnosis Insights

  • Product Management
  • IL
  • Full-time

Description

Navina is a fast-growing digital health SaaS company on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the U.S. rely on Navina’s AI-powered copilot to surface meaningful insights and streamline care at the point of care. With Navina, physicians reduce missed diagnoses, minimize administrative burden, and devote more time to delivering high-quality care.

We are looking for an experienced Product Manager to lead Navina’s Diagnosis Insights domain - responsible for the intelligence layer that powers our clinical suggestions and diagnosis capture experience across patient populations.

This role sits at the intersection of clinical reasoning, data, and AI. You will define, refine, and scale the logic behind Navina’s diagnosis insights - owning the end-to-end experience from medical modeling through how suggestions are surfaced to clinicians and others. Your mission is to drive superior accuracy, broad coverage, and measurable impact across patient types and care models.

This position is ideal for a PM who combines strong analytical and technical depth with clinical intuition, and who is excited to build AI-powered products that influence real-world clinical decisions at scale.

Responsibilities

  • Define and drive the product roadmap for Navina’s Diagnosis Insights domain. Own the long-term vision for Navina’s diagnosis suggestion ecosystem - from medical logic and model strategy to how insights are presented, prioritized, and acted upon by clinicians.
  • Own and define KPIs, including model coverage and precision, alongside end-user adoption metrics (e.g., physician address rate).
  • Lead core product interfaces: Own the insights experience on both the physician and administrative teams' interfaces.
  • Work closely with Engineering, Data Scientists, Medical Experts while actively engaging with clients and end users to deeply understand their desired outcomes, and validate new ways to improve our suggestion algorithm.
  • Translate customer and business requirements into PRDs, technical specifications, and logical flows for the Engine and Core teams.
  • Explain complex medical logic in simple, non-technical language to internal stakeholders (Support, CSM, Implementation teams) and support generate internal product documentation.
  • Use SQL and analytical skills to interrogate data, evaluate logic performance, and validate improvements.
  • Own and manage the product backlog, prioritizing requests based on customer impact, business goals, and urgency.

Requirements

  • 4+ years of product management experience in a B2B SaaS company, preferably in healthcare and/or working closely with Data Science or AI teams.
  • Significant customer-facing experience, including leading product discussions and discovery processes with enterprise customers.
  • Strong technical background, with experience in software development, data analysis, technical product management, or similar roles.
  • Data-driven mindset, with the ability to frame the right questions, define success metrics, and analyze performance data.
  • Solid understanding of UX trade-offs and workflow-driven design principles.
  • Excellent written and verbal communication skills in English & Hebrew.
  • Highly independent and structured, with a hands-on approach and strong sense of ownership; able to learn quickly, ramp up in complex domains, and operate effectively in a fast-paced environment while managing multiple priorities with clarity and focus.
  • A collaborative team player who partners effectively with other PMs and cross-functional stakeholders to drive aligned outcomes.

Advantages:

  • Experience with digital health products or a background in the healthcare field.
  • Previous experience and passion for working closely with enterprise/SMB clients from the US market, preferably working with end-users.
  • Previous experience working with data science teams

You don’t need to meet 100% of the requirements to be a great fit. We hire people, not checklists. If this role excites you, we’d love to hear from you.