Senior Product Manager, Multimodal Data

Details

NVIDIA seeks a highly technical, collaborative Product Manager to drive the roadmap, future product discovery, and delivery of accelerated libraries and tools for multimodal data science applications on omics technologies, with an emphasis on open source tools and community. You will work with community developers, software and hardware developers, research scientists, and the user community to gather requirements, set product roadmaps, and provide go-to-market strategies. This role requires expert knowledge across data science, multimodal data, AI and HPC. Your multidisciplinary expertise in product management, open source development, data science applications, AI, and GPU computing will be key to NVIDIA's impact.

Responsibilities

• Define and champion product vision, strategy, and roadmap for applied data science tools in single cell, and underlying libraries for multimodal data analysis in the life sciences.
• Gather insights from key customers and developers; partner with Product Architects, Solutions Architects, Alliance Management, and Business Development to set requirements and priorities.
• Work closely with engineering leads to deliver on the product roadmap.
• Engage key customers, academic collaborators, bioinformatics developers, and industry partners to gather insights, validate concepts, and drive adoption.
• Define go-to-market strategies and contribute to product positioning and sales enablement.
• Collaborate with product marketing and technical marketing engineering to craft technical content that communicates product value propositions.

Requirements

• Masters, PhD, or equivalent experience in computational biology, bioengineering, or biophysics.
• 8 or more years of product management experience, with proven delivery of software tools, libraries, and SDKs.
• Track record of collaborating on technical projects with cross-functional teams and external collaborators.
• Deep expertise in applied data science, single cell technologies and bioinformatics analysis, including spatial transcriptomics and microscopy.
• Demonstrated understanding of data science approaches and deep learning in single cell workflows: QC, batch integration, dimensionality reduction, clustering, differential expression analysis.
• Outstanding interpersonal and communication skills with the ability to articulate concepts and value propositions to diverse audiences.

Ways to Stand Out

• Hands-on contributions to multimodal data tooling used by the community and understanding of infrastructure tradeoffs (compute and memory, in-database approaches).
• Experience with large-scale data science and bioinformatics workflows and cloud deployments.
• Experience in zero-to-one product ideation and delivery, productizing data science tooling and AI/ML models for biological applications.
• Background with a variety of single cell omics technologies and multi-species omics applications (biomedicine, bio-manufacturing, infectious disease, agriculture).
• Strong experience with NVIDIA GPUs (CUDA) and the NVIDIA HPC+AI software stack.

Compensation & Benefits

• Base salary range: 168,000 USD - 258,750 USD (determined based on location, experience, and comparable pay).
• Eligible for equity and benefits. See NVIDIA benefits for details.

Other

• Applications accepted at least until October 20, 2025.
• NVIDIA is an equal opportunity employer committed to fostering a diverse work environment and does not discriminate on the basis of protected characteristics.