Technical Product Manager – Digital Health

What You’ll Be Doing

• Work with product and program management in planning and execution of new product releases.
• Translate high level customer needs into detailed technical requirements.
• Work with enterprise product and engineering teams on technical architecture, skill design, security and enterprise readiness.
• Drive execution of product requirements across multiple underlying NVIDIA product and engineering teams.
• Fully own the developer experience.
• Work with Technical Marketing teams on building reference solutions and demos and product marketing teams on product positioning and messaging.
• Create benchmarks and sizing guides that help explain the value prop of our offerings in the context of digital health use cases.
• Stay abreast of the latest developments in generative and agentic AI and drive product roadmap to incorporate the latest agentic approaches in anticipation of widespread adoption.
• Stay alert to product and research work across NVIDIA; adapt and position those offerings for digital health use cases.
• Support early adopters through Early Access programs.

What We Need To See

• BS/MS degree in a quantitative field (e.g., Computer Science, Applied Math, Computational Science, Machine Learning, etc.) or equivalent experience.
• 8+ years of technical product management experience in digital health and AI products.
• Hands-on experience building AI models and agents, using the latest agentic tools.
• Excellent balance of deep technical and business knowledge of the digital health space.
• Experience working with developer partners and growing a developer ecosystem.
• Analytical approach and ability to synthesize the latest research, engineering feasibility, and market trends into technical product strategy.
• World-class communication skills with a proven ability to articulate a value proposition to technical and non-technical audiences.
• Able to work cross functionally with engineering, research, developer relations, and go to market teams.
• Able to manage concurrent projects and priorities in a dynamic environment.

Ways To Stand Out From The Crowd

• Hands on experience with building agentic AI products.
• Strong programming skills and familiarity with CUDA and GPU fundamentals.