Ai Technical Product Manager

Summary

Join Topography Health as an AI Technical Product Manager and drive innovation in clinical research and patient care. You will collaborate with cross-functional teams to design, implement, and optimize AI-driven initiatives streamlining clinical trial operations. This role involves scoping projects to enhance patient outcomes and operational efficiency, overseeing development, and integrating solutions into existing workflows while maintaining regulatory compliance. Leverage your technical expertise and project management skills to deliver effective solutions under tight timelines. Champion data-driven decision-making and coordinate stakeholder needs to meet business objectives and industry standards. This is an exciting opportunity to build next-generation software that will elevate the clinical trials landscape.

Requirements

• Bachelor’s degree or 4 years of equivalent work experience
• 5+ years of experience in technical product management, with at least 2 years focused on AI/ML initiatives

Responsibilities

• Scope, plan, and manage product development initiatives from inception to deployment, coordinating with cross-functional teams (engineering, business development, clinical ops)
• Work hand in hand with co-founders and senior management to identify priorities across the organization
• Identify where to leverage AI to improve the project lifecycle: requirements gathering, feasibility analysis, solution design, testing, and implementation
• Oversee the adoption of AI technology across Topo’s product development and clinical operations stacks
• Engage with clinical and technical stakeholders to understand needs, define milestones, and ensure timely project execution
• Fostering a culture of continuous improvement, iterative feedback, and constant collaboration with our clinical stakeholders
• Track and report on key project metrics to leadership team. Incorporate feedback into future roadmaps
• Lead vendor selection and onboarding process for new tools for engineering and data science teams
• Collaborate with data scientists and engineers to ensure the AI solutions are robust, secure, and meet regulatory guidelines for clinical data
• Ensure adherence to Good Clinical Practice (GCP), FDA regulations, and data privacy laws (e.g., HIPAA) for AI-driven solutions

Preferred Qualifications

• Previous experience in a start up environment
• Previous experience in clinical research