Define and evolve the product vision for AI-powered clinical operations platforms, with a focus in agentic automation of workflows
Lead cross-functional pods composed of AI scientists, ML engineers, software developer engineers, and UI/ UX researchers
Drive execution through agile methodologies, ensuring delivery of scalable, secure, and compliant AI solutions
Collaborate with clinical SMEs, regulatory teams, and business leaders, to define priorities, validate use cases, and ensure adoption
Define KPIs that measure impact on speed, quality, and cost of clinical trials
Stay ahead of the curve on Gen AI and agentic frameworks (e.g., LangChain, Autogen, CrewAI)
Evaluate emerging tools and models for integration into the product stack
Apply Lean and Six Sigma principles to streamline AI-driven workflows, reduce operational waste, and ensure high-quality delivery across the clinical trial lifecycle
Requirements
Proven experience as a Product Manager or similar role in a fast-paced tech or life sciences environment
Deep understanding of the clinical trial lifecycle and operations (e.g., clinical operations, site monitoring)
Strong technical fluency in AI/ ML concepts, including, LLMs, prompt engineering, and agent orchestration
Demonstrated ability to lead cross-functional teams and deliver products in regulated environments
Excellent communication and stakeholder management skills
Advanced degree in life sciences, computer science, or a related field (bonus)
Experience with Agentic AI frameworks and tools (e.g., LangGraph, CrewAI, AutoGen) (bonus)