(Global) Director, Clinical Deployment & Growth - Lunit SCOPE

About the role

Lunit is seeking a Director of Clinical Deployment & Growth to lead the end-to-end activation of our AI-powered pathology solutions in clinical practice. This role owns the full lifecycle from initial customer engagement and relationship management through live clinical deployment, workflow integration, adoption, and expansion.

Core Responsibilities

• Land: Strategic Customer Engagement
  • Identify and engage leading pathology labs, cancer centers, and health systems.
    • Shape high-impact initial use cases.
    • Lead consultative sales process with pathologists, lab directors, and IT stakeholders.
    • Structure deals with clear, achievable deployment pathways.
• Deploy: Drive Clinical Activation
  • Design contracts and pricing creatively to meet lab user needs, in coordination with channel partners and via direct contracting.
  • Own time from contract through implementation and live clinical use.
  • Collaborate with Lunit's engineering deployment team to enable clinical adoption, steadily overcoming an ever-evolving landscape of integration challenges.
  • Support site validation processes, including guiding partners on validation execution.
  • Guide and support user integration of Lunit AI across LIS, digital pathology systems, and IT environments.
  • Remove technical, operational, and organizational blockers to go-live.
• Prove: Ensure Real Clinical Adoption
  • Drive initial usage by pathologists and lab teams.
  • Create an impactful feedback loop between users and Lunit product and engineering teams.
  • Build internal champions within each institution.
  • Ensure solutions are embedded into routine workflows.
• Expand: Grow Within Accounts
  • Identify and execute expansion opportunities across additional biomarkers / products, departments, and sites.
  • Convert initial deployments into multi-product, multi-site partnerships.
  • Build the Playbook Together with Lunit product and engineering teams, e.g.: Integration and validation templates Best practices for user training and troubleshooting IT/security/deployment documentation Integration workflows across major platform vendorsCodify best practices to scale globally.

Requirements

• A minimum of 7 years progressive experience in one or more of the following areas: Digital pathology / pathology workflows; Clinical lab operations (CLIA/CAP environments); and /or Healthcare AI or enterprise health tech deployment.
• Bachelor's degree in biology, healthcare administration, or relevant field of study.
• Proven track record of navigating complex, consultative selling, while driving implementation in clinical environments.
• Strong technical and operational understanding of: Pathology lab workflows and validation requirements. Digital pathology infrastructure (IMS, LIS, scanners).
• Skilled at cultivating stakeholder relationships across clinical, technical, and executive levels, including pathologists, laboratory directors, and IT leaders.
• Entrepreneurial drive and high emotional intelligence to lead initiatives within a lean environment.
• Proficiency with core team collaboration and CRM tools (Salesforce, Microsoft Teams, Slack, other Microsoft software), alongside a strong aptitude for leveraging generative AI tools to optimize workflows and drive daily efficiency.
• Ability to travel approximately 15% - 30% of working time, domestically and internationally, to attend key conferences and meet with clients.
• Access to high-speed internet (minimum 50 Mbps download, 10 Mbps upload).
• Access to a quiet, designated home office space free from distractions.
• Flexibility to support a global operation spanning multiple time zones, including collaboration with teams in South Korea outside of standard local business hours.

Preferred Experiences

• Graduate Degree in biology, healthcare administration, or relevant field of study.
• Industry experience with digital pathology vendors (e.g., Roche Diagnostics, Philips Healthcare, Paige, Ibex Medical Analytics).
• Direct experience deploying AI/ML solutions in regulated clinical settings.
• Background in oncology or pathology lab-facing software, and/or companion diagnostics.