Senior Product Manager, Digital Health

Details

Generative and Agentic AI is transforming Digital Health from patient engagement, to provider experience to efficient back office operations and NVIDIA’s products and platforms are powering this transformation.

Responsibilities

• Lead the entire product lifecycle from vision to strategy to development and launch.
• Work closely with lighthouse 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 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 proposition of 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 state-of-the-art AI models and techniques.
• Adapt and position NVIDIA’s product and research work for digital health use cases.
• Perform technical competitive analysis of market offerings.
• Support early adopters through Early Access programs.

Requirements

• BS/MS degree in a quantitative field (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 developer ecosystems.
• 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 research, engineering feasibility, and market trends into product strategy.
• World-class communication skills to articulate value proposition to technical and non-technical audiences.
• Ability to work cross functionally with engineering, research, developer relations, and go to market teams.
• Capability to manage concurrent projects and priorities in a dynamic environment.

Ways To Stand Out

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

Benefits

• Eligible for equity and benefits.
• NVIDIA is an equal opportunity employer committed to diversity and inclusion.

The mission of the healthcare team at NVIDIA is to power AI platforms across different healthcare domains: drug discovery, genomics, medical imaging, conversational AI and more, building computing platforms that reduce the time to scientific discovery, automate skills, transform workflows and connect data across healthcare to deliver personalized medicine.