Nvidia Senior Product Manager Digital Health 

United States, California 

740533175

What You’ll Be Doing:

• Lead the entire product lifecycle from vision to strategy to development and launch.

• Work closely with light house customers and distill their common needs into product requirements.

• Drive execution of product requirements across multiple underlying NVIDIA product and engineering teams

• Create buy-in for product vision by first principle reasoning of market needs, NVIDIA core competency and our perspective on how technology is going to transform the market.

• 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 latest SOTA AI models & techniques in anticipation of widespread adoption.

• Stay alert to product and research work across NVIDIA; adapt and position those offerings for digital health use cases

• Perform technical competitive analysis of other offerings in the market.

• 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 product management experience in digital health and AI products.

• Experience working with developer partners and growing a developer ecosystem

• Hands-on experience building AI models using Deep Learning frameworks like PyTorch, JAX, and DeepSpeed.

• Excellent balance of deep technical and business knowledge of the digital health space.

• Analytical approach and ability to synthesize latest research, engineering feasibility, and market trends into product strategy.

• World-class communication skills with a proven ability to articulate a value proposition to technical and non-technical audiences.

• Work cross functionally with engineering, research, developer relations, and go to market teams.

• Ability 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