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NVIDIA

Senior Product Manager, Multimodal Data

NVIDIA, Myrtle Point, Oregon, United States, 97458

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Employer Industry: Technology and Data Science

Why consider this job opportunity:

Salary up to $258,750

Eligible for equity and comprehensive benefits package

Opportunity for career advancement and growth within a leading technology company

Work with cutting-edge technologies in the field of data science and AI

Collaborative environment with some of the brightest minds in the industry

Contribute to impactful projects in biological sciences and multimodal data analysis

What to Expect (Job Responsibilities):

Define and champion product vision, strategy, and roadmap for applied data science tools in single-cell and multimodal data analysis

Gather insights from key customers and partners to set product requirements and priorities

Collaborate closely with Engineering leads to deliver on the product roadmap

Engage with academic collaborators and industry partners to validate concepts and drive product adoption

Define go-to-market strategies and contribute to product positioning and sales enablement

What is Required (Qualifications):

Master's, PhD, or equivalent experience in computational biology, bioengineering, or biophysics

8 or more years of product management experience with proven delivery of software tools and libraries

Track record of collaborating on technical projects with multi-functional teams

Deep expertise in applied data science, single-cell technologies, and bioinformatics analysis

Outstanding interpersonal and communication skills to articulate concepts to diverse audiences

How to Stand Out (Preferred Qualifications):

Hands-on contributions to multimodal data tooling and understanding of infrastructure tradeoffs

Experience with large-scale data science and bioinformatics workflows in cloud environments

Background in zero-to-one product ideation and delivery for biological applications

Familiarity with various single-cell omics technologies and their applications in biomedicine

Strong experience with NVIDIA GPUs (CUDA) and HPC+AI software stack

#DataScience #ProductManagement #TechnologyJobs #AI #Bioinformatics #CareerOpportunity

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