Principal Product Manager, AI Platform

Role Summary

Principal Product Manager, Developer and AI Platform overseeing the next generation of a surgical intelligence platform to empower healthcare products, collaborating across software, data science, AI/ML, data engineering, and program management to develop a scalable edge-to-cloud platform and drive adoption across the surgical ecosystem.

Responsibilities

• Work with senior leadership to drive platform vision and roadmap, aligning with data, AI/ML and business strategies.
• Identify market trends, competitive dynamics, and client needs to inform platform direction and long-term planning.
• articulate platform strategy, technical concepts, and business impact for varied stakeholders.
• Synthesize internal and external developer needs into critical user journeys and platform requirements.
• Define detailed platform requirements, acceptance criteria, and success metrics; ensure delivery.
• Design cloud-native architectures and enterprise applications on AWS, GCP, or Azure.
• Own the product definition of the AI/ML stack for hybrid and sovereign cloud environments.
• Lead grooming sessions with data science and engineering teams; evaluate options and guide trade-offs.
• Drive execution with partners, balancing build, buy and partner decisions.
• Ensure capabilities support model risk management, onboarding, and compliance.
• Foster a culture of innovation, excellence, and accountability across the platform organization.
• Collaborate with cross-functional teams in a matrix organization (data scientists, engineers, quality, security, legal).

Qualifications / Requirements

• 8+ years of product management experience in AI/ML, including model development, deployment, and monitoring.
• 3+ years building internal tools and services to improve Developer Experience and digital products.
• High technical understanding to collaborate with engineers, architects, and AI/ML practitioners.
• Deep understanding of ML/LLM Ops principles and the AI development lifecycle.
• Strong technical acumen to translate complex concepts into clear product requirements.
• Proven track record delivering AI/ML products from ideation to launch and beyond.
• Excellent written and verbal communication; ability to present technical content to non-technical audiences.
• Ability to influence and collaborate across all organizational levels.
• Strong understanding of cloud infrastructure, APIs, and data pipelines.

Preferred Qualifications

• Experience on digital platforms or ecosystems, particularly in healthcare.
• Familiarity with AI/ML development workflows involving clinical, imaging, or video data.
• Understanding of healthcare data standards and regulatory frameworks (HIPAA, GDPR, HL7, FHIR, SMART on FHIR, DICOMweb).
• Comfort working in fast-paced, ambiguous environments where platform strategy and execution evolve rapidly.