NVIDIA

Senior Product Manager – AI for Retail

California, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Retail, Consumer Goods, QSR (Quick Service Restaurant)Industries

Senior Product Manager, Retail AI

Employment Type: Full-time

Position Overview

NVIDIA is a defining technology company in the Artificial Intelligence era. We are seeking a Senior Product Manager to drive the vision, development, and launch of innovative AI blueprints and reference workflows that leverage NVIDIA's AI and accelerated computing power for the retail, consumer packaged goods (CPG), and quick service restaurant (QSR) industries.

We are looking for a multifaceted product leader who is comfortable in fast-paced settings, adaptable to changing needs, and passionate about shaping the future of AI. You will collaborate closely with cross-functional teams, including engineering, solution architects, marketing, and sales, to ensure the successful design, execution, and market adoption of our retail AI offerings. This position offers an opportunity to drive groundbreaking work at the intersection of AI and retail, helping to transform the industry.

Responsibilities

  • Gain Expertise: Keep pace with NVIDIA AI innovations, industry technology changes, new research, partner, and competitor innovation. We support self-directed learning through rapid prototyping, expert discussions, and hands-on development.
  • Design and Build: Author compelling product requirements that showcase the art of what’s possible for our retail, CPG, and QSR industries, highlighting NVIDIA AI solutions. Work cross-functionally to support the development of AI blueprints and reference workflows. This requires a hands-on approach to understand underlying functionality, test, and provide feedback for improvements.
  • Launch Products: Support the go-to-market strategy and cross-functional implementation plan across Marketing, PR, Sales, etc. This includes creating technical content for blog posts, webinars, and developer tutorials to communicate the product value proposition.
  • Delight the Market: Ensure an excellent developer experience for retail blueprints and workflows, making them easy to use, document, install, customize, and deploy. Support partners using blueprints and engage with early adopters through Early Access programs. Work closely with customers and partners to monitor product quality and critical bugs.
  • Be an Authority: Become a recognized authority within and outside of NVIDIA by publishing content, giving presentations, and engaging directly with communities.

Requirements

  • BS or MS in Data Science, Computer Science, or equivalent experience.
  • 12+ years of combined experience in product management, data science, software development, and/or ML Ops.
  • Significant experience in a technical product leadership role at a technology or retail/CPG company.
  • Excellent balance of industry knowledge and experience with AI technologies and approaches such as generative and agentic AI, computer vision, and digital twin simulation.
  • Analytical approach with the ability to synthesize the latest research, engineering feasibility, and market trends into product strategy.
  • Outstanding communication skills with a demonstrated ability to articulate a value proposition to both technical and non-technical audiences.
  • Experience working cross-functionally with engineering, research, developer relations, and go-to-market teams.
  • Ability to drive concurrent projects and priorities in a dynamic environment.

Ways to Stand Out

  • Experience in retail or CPG industries with deep knowledge of retail AI development and deployment workflows for both edge and cloud.
  • Experience with NVIDIA technologies, tools, and software such as NeMo microservices and NIMs.
  • Hands-on experience building or using generative AI solutions.

If you are a self-starter with a blend of market, technical, and product skills, we encourage you to apply.

Skills

AI
Product Management
Cross-functional Collaboration
Market Strategy
Technical Content Creation
Prototyping
Testing
Customer Engagement

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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