[Remote] Senior Product Manager, Genomics at NVIDIA

California, United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

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Requirements

Master's or PhD degree in computational biology, bioengineering, or biophysics
Deep expertise in sequencing technologies and bioinformatics pipelines, including related emerging areas (graph genomes)
Demonstrated understanding of algorithmic and bioinformatics applications in genomics, including genome assembly, secondary analysis, and applications in diagnostics and precision medicine
8+ years of product management experience, with proven delivery of software tools, libraries, and SDKs
Experience with deep learning in genomics, including applications in variant calling, pathogenicity detection, and genomic foundation models
Outstanding interpersonal and communication skills, with a demonstrated ability to articulate concepts and value propositions to diverse audiences
Hands-on contributions to multi-omics tooling used by the community
Background with large-scale genomics workflows and cloud deployments
Domain knowledge and ability to generate meaningful biological insights and interpretations from complex, multi-omic datasets
Experience in zero-to-one product ideation and delivery, productizing bioinformatics and AI/ML models for genomics applications
Background in multi-species applications of genomics in biomedicine, bio-manufacturing, or agriculture
Experience with NVIDIA GPUs (CUDA) and our HPC AI software stack
Self-starter with the ability to continue NVIDIA's growth in genomics

Responsibilities

Define and nurture product vision, strategy, and roadmap for Parabricks and underlying libraries for genomics data generation and processing in the life sciences
Gather insights from key customers, developers, and partner with Solutions Architects, Alliance Management, and Business Development on broader market signals to set requirements and priorities
Work closely with engineering leadership to deliver on product roadmap
Engage key customers, academic collaborators, bioinformatics developers, and industry partners to capture insights, validate concepts, and drive adoption
Define the go-to-market strategies and contribute to product positioning and sales enablement
Collaborate with product marketing and technical marketing engineering to assist in creating technical content that communicates product value proposition to the world
Participate in product reviews, feedback sessions, and product roadmap meetings
Develop and maintain product documentation, including user guides, API documentation, and technical notes
Identify and prioritize product requirements, and ensure that requirements are incorporated into the product roadmap
Collaborate with cross-functional teams, including engineering, product, and sales, to ensure successful product launch and adoption
Develop and maintain relationships with key stakeholders, including customers, partners, and industry experts
Stay up-to-date with industry trends, technologies, and best practices in genomics and AI/ML, and apply this knowledge to drive product innovation and growth

Skills

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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