Product Manager

About Evident Digital Pathology

Evident Scientific, formerly part of Olympus Corporation, is a global leader in life-science microscopy and optical instrumentation. Following the recent acquisition of Pramana, a pioneer in Autonomous Digital Imaging, Evident has combined its world-class optical heritage with Pramana’s software, robotics, and AI innovation to define the future of Digital Pathology.

Our young, high-performing engineering team has already taken the industry to its next node in autonomy—building the world’s most advanced whole-slide imaging platform, deployed at the Mayo Clinic to create the world’s largest digital pathology archive. Today, this technology is trusted by more than 30 top-tier medical institutions across the U.S. and Europe, powering Clinical workflows directly aiding in patient care.

As part of Evident, this team is now advancing to the next level of autonomy—moving from autonomous imaging to intelligent imaging, where scanners, data systems, and user interfaces are self-aware, adaptive, and capable of real-time AI inference at the edge.

Role Overview

Own the product vision and roadmap for Evident’s Autonomous Digital Pathology platform, spanning robotic scanners, AI-driven imaging, and cloud data systems. Work closely with engineering, clinical, and business teams to deliver intelligent, compliant, and scalable healthcare products.

Key Responsibilities

Define and drive the product vision, roadmap, and priorities for the platform.

Translate customer, clinical, and business needs into clear product requirements.

Partner with engineering across robotics, AI/ML, embedded, and cloud systems to deliver features end-to-end.

Balance innovation, timelines, and regulatory requirements (FDA, HIPAA, GDPR, IVDR).

Engage with customers and stakeholders to gather feedback and support go-to-market efforts.

Qualifications

5-8 years of experience in product management for complex platforms or systems.

Strong cross-functional leadership and communication skills.

Ability to translate technical complexity into business and user value.

Preferred: Experience in medical imaging, digital pathology, or regulated healthcare products.