Principal Product Manager, AI Platform

Role Summary

Principal Product Manager, Developer and AI Platform. Lead the next generation of a surgical intelligence platform to empower healthcare products, collaborating with software engineers, data scientists, AI/ML engineers, data engineers, and program managers 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 stakeholders with varying technical depth.
• Synthesize developer needs into critical user journeys and platform requirements.
• Define detailed platform requirements, acceptance criteria, and success metrics and ensure delivery.
• Design cloud-native architectures on platforms such as AWS, GCP, or Azure; own AI/ML stack for hybrid and sovereign clouds.
• Lead grooming sessions with data science and engineering teams; evaluate options, guide trade-offs, and make decisions.
• Balance build, buy, and partner decisions; ensure platform supports model risk management, onboarding, and compliance.
• Foster innovation, excellence, and accountability across the platform organization; collaborate with cross-functional teams in a matrix organization.

Qualifications

• 8+ years of product management experience in AI/ML, including model development, deployment, and monitoring.
• 3+ years building internal tools and reusable services to improve Developer Experience and support digital products.
• Strong technical understanding to collaborate with engineers, architects, and AI/ML practitioners.
• Deep understanding of ML/LLM Ops principles and AI development lifecycle.
• Ability to translate complex technical 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 levels of the organization.
• Strong understanding of cloud infrastructure, APIs, and data pipelines.

Skills

• AI/ML platform development
• Gen AI stack and cloud services
• Cloud-native architecture (AWS, GCP, Azure)
• Product strategy and roadmapping
• Stakeholder management and cross-functional leadership
• Model risk management and compliance

Education

• Not specified