
Navina provides clinicians with AI and machine learning–driven patient portraits that consolidate and surface the most relevant clinical information to speed diagnosis and care. The platform…

Navina provides clinicians with AI and machine learning–driven patient portraits that consolidate and surface the most relevant clinical information to speed diagnosis and care. The platform…
Product: Clinician-first AI copilot that consolidates patient data into explainable insights and documentation
Scale: Claims 20,000+ clinicians and 3.5M+ lives impacted
Tech: Claims 600+ AI algorithms for primary care and emphasis on explainable AI
Funding: Reported Series C $55M (Mar 25, 2025); total reported funding ~ $100M
Founders: Co-founded by Ronen Lavi (CEO) and Shay Perera (CTO)
Primary care clinicians facing fragmented patient records and need for actionable, explainable insights at point of care
Healthcare / Clinical AI
$15M
Participation from Schusterman Family Investments and Grove Ventures (reported)
$22M
Participation from Grove Ventures, Vertex Ventures Israel and Schusterman Family Investments (reported)
$55M
Reported to bring total funding to approximately $100M
“Participation from venture investors including Vertex Ventures Israel, ALIVE, Grove Ventures, Schusterman Family Investments, and Growth Equity at Goldman Sachs Alternatives”
| Company |
|---|
Navina is a fast-growing digital health SaaS company transforming how physicians interact with patient data. Thousands of clinicians across the US use Navina’s AI-powered solution to turn complex, fragmented records into concise patient portraits and actionable insights at the point of care — reducing burnout, missed diagnoses, and administrative overhead.
As Navina scales its AI product, a parallel opportunity has emerged: applying that same mindset internally. Several non-R&D teams already run AI-powered workflows. What’s missing is a dedicated role to scale this systematically — someone with the technical ability to build and the product judgment to decide what’s worth building.
This role fills that gap: an individual contributor focused on accelerating AI adoption across all non-R&D teams through high-impact tool development, embedded collaboration, and practical enablement.
Responsibilities:
Good discovery is the difference between automation that gets used and automation that gets ignored.
This role leads by shipping. Working tools — not proposals — are the primary output.
Requirements:
Optional / Nice-to-Have
Your next opportunity is in here somewhere. Sign up to explore 70,000+ startups and their open roles. No spam. No gamification. Just jobs.
70,000+
Startups
82,000+
Open Roles
4,600+
New This Week