Senior Product Manager - Storage and Asset Management at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Robotics, IndustrialIndustries

Requirements

Proven experience leading software/platform products or APIs from concept through scale, with deep empathy for developers and technical users
Demonstrated knowledge of cloud, simulation, or high-performance computing—especially around performance optimization, developer workflow, and delivery
Experience developing and managing products or APIs across multiple OSs and/or hybrid cloud environments
BS or MS degree in Computer Science, Computer Engineering, or similar experience (or equivalent experience)
8+ years of product management or directly relevant experience in fast-paced technology companies
Exceptional cross-functional collaboration, organizational, and communication skills—can align diverse stakeholders and influence without authority

Responsibilities

Define and drive our storage and asset management products visions, strategies, and multi-year roadmaps, aligned with NVIDIA’s platform ambitions and customer needs
Act as the advocate and voice of developers by—proactively conduct user research, gather direct feedback, and convert insights into requirements that shape developer-centric tools and libraries
Collaborate across engineering, UX, developer advocacy, and marketing to launch products and features that deliver measurable value to developers, driving adoption, satisfaction, and ecosystem growth
Develop, prioritize, and refine product backlogs to maximize business impact, user value, and technical feasibility; make tough prioritization decisions and tradeoffs while maintaining transparency
Track and analyze key product and usage metrics (adoption, usage, support, NPS) to measure success, drive continuous improvement, and iterate on roadmap based on real-world signals
Lead customer and partner engagements, including with strategic OEMs and leading researchers, to enable groundbreaking Omniverse and GPU-accelerated applications
Guide go-to-market planning with GTM, sales, and community; communicate roadmap and progress with executive leadership and externally at developer events
Stay ahead of industry trends in simulation, AI, developer tools, and platform technologies; evaluate opportunities for open source, extensibility, and ecosystem partnerships

Skills

Product Management

APIs

SDKs

OpenUSD

NVIDIA RTX

Generative AI

Omniverse

Storage Management

Asset Management

Distributed Data Management

Metadata Management

Roadmaps

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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