Product Manager – AI Workflow Automation & Treatment Planning

Role Overview

This role focuses on building AI-enabled workflow automation solutions, including treatment planning optimization and operational process automation for radiation oncology. The goal is to reduce manual effort, eliminate errors, and improve planning efficiency while ensuring standardization across multi-site oncology practices.

Key Responsibilities

• Define the product roadmap for AI-based workflow automation in radiation oncology, including treatment planning optimization.
• Collaborate with radiation oncologists, dosimetrists, and therapists to identify clinical pain points and automation opportunities.
• Lead product development for auto-segmentation, AI-assisted treatment planning, and adaptive radiotherapy workflows.
• Develop features that streamline SOPs, reduce planning variability, and improve clinical throughput.
• Integrate AI workflow automation tools with treatment planning systems (TPS), EMRs, QA platforms, and imaging modalities.
• Ensure regulatory and safety compliance for AI-driven clinical workflows.
• Conduct market analysis to identify workflow gaps and emerging opportunities in treatment planning automation.
• Partner with hospitals and oncology networks to pilot solutions and gather real-world evidence.

Required Qualifications

• 5+ years’ experience in radiation oncology treatment planning and workflow optimization, ideally as a dosimetrist or medical physicist.
• Deep knowledge of TPS (Varian Eclipse, RayStation, etc.), contouring, and adaptive workflows.
• Experience with AI-based auto-planning or workflow automation tools.
• Familiarity with oncology EMR integration, DICOM RT standards, and interoperability.
• Proven ability to work cross-functionally with clinicians, engineers, and regulatory teams.

Preferred

• CMD certification or equivalent.
• Prior experience with Stanford Auto-Planning or similar AI auto-planning licenses.
• Knowledge of Lean Six Sigma or process improvement in radiation oncology.