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Global Product Management Leader, Polyphonic AI Lab

Johnson & Johnson
4 months ago
Remote friendly (Santa Clara, CA)
United States
Marketing
Global Product Management Leader — define and build a next-generation surgical data & AI platform.

Key Responsibilities
- Define and communicate a comprehensive product strategy and roadmap, including OKRs that measure progress toward outcomes.
- Drive development of a scalable platform for video intelligence, multimodal data integration, analytics, AI model development, and insight generation.
- Lead product investment prioritization and backlog management—balancing near-term delivery with long-term strategic differentiation.
- Lead user and market research to uncover needs, validate opportunities, and translate insights into product ideas and clear requirements.
- Build networks with key opinion leaders, subject matter experts, and internal teams to accelerate learning, drive alignment, and increase adoption.
- Partner with the growth and engagement team to create positioning and go-to-market collateral.
- Forecast revenue and/or savings opportunities; build and defend business/investment cases with senior and executive stakeholders.
- Align and influence cross-functional teams around a clear product mission, priorities, and roadmap.
- Ensure solutions are developed with focus on quality, cybersecurity, privacy, compliance, and responsible AI.
- Stay current on trends across AI, multimodal data platforms, computer vision, digital surgery, and sensor-enabled intelligence; incorporate insights into the product strategy.

Requirements
- Bachelor’s degree required; advanced degree preferred in Computer Science, Engineering, Biomedical Engineering, AI, Data Science, Health Informatics, or related.
- 6+ years of experience in product management, software engineering, or digital platform leadership (ideally healthcare, medical devices, digital health, and/or AI-enabled products).
- Proven leadership delivering enterprise-scale digital products and platforms.
- Strong foundation in AI/ML, computer vision, multimodal data systems, cloud-native architectures, analytics platforms, and modern software engineering practices.
- Experience with video, sensor data, EHR-linked data, or other clinical/procedural data strongly preferred.
- Demonstrated partnership with external technology companies, hyperscalers, and ecosystem collaborators.
- Strong cross-functional leadership and ability to influence technical, clinical, business, and executive teams.
- Experience in regulated environments with knowledge of quality, privacy, cybersecurity, and compliance expectations.
- Excellent written and verbal communication skills; ability to translate strategy into actionable plans.
- Ability to travel up to 25% (U.S. and international).