Senior Product Marketing Manager - Data Science at NVIDIA

Santa Clara, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Retail, Manufacturing, Scientific Computing, TechnologyIndustries

Requirements

8+ years’ experience with launching, go-to-market and scaling technical product adoption for data scientists or developers
Bachelor's degree in a scientific or technical field (or equivalent experience)
Knowledge of data science packages and machine learning frameworks
Excellent written and spoken communication skills
Experience presenting at meetings, conferences, and webinars
Strong grasp of content marketing and social media methodologies
Comfortable reviewing Python code used in presentations, demos, and articles
Thrive in a cross-functional organization, collaborating with peers across teams and functions

Responsibilities

Lead positioning, messaging and launches for key data science and processing products
Develop technical content such as blogs, videos, and presentations to help data scientists embrace NVIDIA’s SDKs
Support go-to-market for NVIDIA hardware platforms for data processing as part of cross-functional team
Conduct competitive and ecosystem analysis to develop positioning and focus promotion
Engage with the data science community directly and present key technologies at events
Derive insights from customer adoption trends and share with internal teams

Skills

Product Marketing

Data Science

Machine Learning

Accelerated Computing

GPU

SDK

Positioning

Messaging

Technical Content

Blogs

Presentations

Go-to-Market

Competitive Analysis

Customer Insights

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.

Land your dream remote job 3x faster with AI

Try Jobo Free