Senior Product Marketing Manager - Autonomous Vehicles at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Technology, AIIndustries

Requirements

7+ years of product marketing experience in related high-tech B2B markets (automotive, semiconductor, cloud, or AI preferred)
Bachelor’s degree (or equivalent experience); strong technical SW or HW background is highly desirable
Strong written and verbal communication skills with demonstrated ability to influence across cross-functional teams
Experience engaging with automotive OEMs, tier-1 suppliers, or ecosystem partners a plus
Creative, articulate, and technically fluent marketer passionate about AI, autonomous driving, and the software-defined vehicle
Proven ability to simplify complex technology into crisp, compelling business value propositions
Self-starter who thrives in a dynamic, fast-paced environment and takes ownership of projects end-to-end
Exceptional storytelling and visual communication skills — including writing, PowerPoint, and data-driven presentations
Attention to detail, an eye for quality, and the ability to translate technical innovations into clear customer value
Expert on market trends, competitive dynamics, use cases, and customer adoption patterns across the automotive ecosystem

Responsibilities

Product Messaging: Develop clear and differentiated messaging that positions NVIDIA automotive solutions — including DRIVE, simulation, and AI software platforms — across multiple audiences: OEMs, tier-1 suppliers, ecosystem partners, and developers
Sales Enablement: Communicate the value proposition of our automotive products to sales and partner teams. Create and maintain collateral, presentations, and playbooks that empower teams to win new design wins and expand existing engagements
Product Launch: Lead and support product launches for new hardware platforms, software releases, and developer tools. Coordinate across engineering, product management, PR, and creative teams to ensure unified go-to-market execution
Demand Generation: Drive awareness and interest through campaign messaging and content strategy. Partner with digital marketing, events, and communications teams to design and execute marketing programs that accelerate adoption of NVIDIA automotive technologies
Market and Competitive Insights: Gather market intelligence and competitive data to inform product strategy, pricing, and positioning. Translate insights into actionable recommendations for business and marketing teams
Defining and driving marketing strategy for NVIDIA’s automotive hardware and software products — spanning AI compute, simulation platforms, and autonomous driving solutions
Crafting compelling narratives, positioning, and assets that communicate how NVIDIA is transforming the car into a software-defined, intelligent machine

Skills

Key technologies and capabilities for this role

Product MarketingMessagingSales EnablementProduct LaunchDemand GenerationGo-to-MarketCompetitive AnalysisMarket TrendsAutomotive EcosystemAI ComputeAutonomous DrivingSimulation Platforms

Questions & Answers

Common questions about this position

What experience level is required for this role?

The position requires 7+ years of product marketing experience in related high-tech B2B markets, such as automotive or semiconductors.

What key skills are needed for the Senior Product Marketing Manager position?

Candidates need to be creative, articulate, and technically fluent, with proven ability to simplify complex technology into compelling business value propositions, exceptional storytelling and visual communication skills, and the ability to thrive in a dynamic, fast-paced environment.

What is the work arrangement or location for this job?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What makes a strong candidate for this Product Marketing Manager role?

A strong candidate will have 7+ years of product marketing experience in high-tech B2B markets like automotive or semiconductors, passion for AI and autonomous driving, and skills in crafting compelling narratives from technical innovations while thriving in a fast-paced environment.

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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