Principal Product Manager, AI Platform

Role Summary

Principal Product Manager, Developer and AI Platform based preferably in Santa Clara, CA, with remote consideration across the United States. Responsible for defining and building a next-generation surgical intelligence platform to empower healthcare products, collaborating with software engineers, data scientists, AI/ML engineers, data engineers, and program managers to deliver a scalable edge-to-cloud platform and drive adoption across the surgical ecosystem. JJMT Digital aims to craft the future of digital surgery by developing software solutions for hospitals, clinicians, and patients throughout pre-operative care to post-operative support.

Responsibilities

• Strategy & Leadership: Work with senior leadership to drive platform vision and roadmap, ensuring alignment with J&J MTD data, AI/ML and business strategies; identify market trends and client needs to inform long-term planning; clearly articulate platform strategy and impact to stakeholders at various technical levels.
• Technical Product Management & Execution: Synthesize developer needs into critical user journeys and platform requirements; define detailed platform requirements, acceptance criteria, and success metrics; design cloud-native architectures on AWS, GCP, or Azure; own the AI/ML stack for hybrid and sovereign clouds; lead grooming sessions with data science and engineering teams; drive execution with partners; ensure platform supports model risk management, onboarding, and compliance; foster innovation and collaboration across a matrix organization.

Qualifications

• Required: 8+ years of product management experience in AI/ML, with focus on model development, deployment, and monitoring in a fast-paced environment.
• Required: 3+ years building internal tools and reusable services to improve Developer Experience and support digital products.
• Required: High degree of technical understanding to collaborate with engineers, architects, and AI/ML practitioners; strong grasp of ML/LLM Ops and AI development lifecycle.
• Required: Strong technical acumen to translate complex concepts into clear product requirements; proven track record delivering AI/ML products from ideation to launch; excellent written and verbal communication; ability to influence across all levels.
• Required: Understanding of cloud infrastructure, APIs, and data pipelines.
• Preferred: Experience on digital platforms or ecosystems, especially in healthcare.
• Preferred: Familiarity with AI/ML workflows involving clinical, imaging, or video data; knowledge of healthcare data standards and regulatory frameworks (HIPAA, GDPR, HL7, FHIR, SMART on FHIR, DICOMweb).
• Preferred: Ability to operate in fast-paced, ambiguous environments where platform strategy evolves.

Education