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NVIDIA

Designs the chips and software that power AI

Senior Product Marketing Manager - Industrial & Computational Engineering

Product MarketingConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A degree in Computer Engineering, Computer Science, Chemistry, Applied Mathematics, or a related engineering field, or equivalent experience.
  • At least 8 years of product marketing and/or product management experience with software or hardware products.
  • Working knowledge of and experience with CAE, Semiconductor, EDA, or AI-Physics workflows.
  • Experience at a technology company defining value propositions and messaging for SDKs or libraries.
  • Experience in storytelling and engaging audiences as part of crafting product marketing initiatives.
  • Ability to set task-level goals, develop creative solutions to sophisticated problems, and identify untapped opportunities.
  • Ability to articulate ideas and concepts to team members, customers, partners, and media using cohesive written and oral skills.

Responsibilities

  • Define product launch strategy and drive go-to-market plans, including effective messaging, positioning, and product differentiation.
  • Advocate for the product by aligning sales, marketing, partners, and customers with the product mission and revenue opportunities.
  • Develop product marketing strategies for product adoption and growth, and create marketing and sales/partner enablement assets such as blogs, whitepapers, webinars, demos, and customer and partner decks.
  • Present ideas clearly using slides, whiteboards, and other creative approaches, translating technology capabilities into messaging for different audiences.
  • Implement product marketing plans in collaboration with product management, sales, campaign marketing, public relations, and engineering teams.

Desired Qualifications

  • A portfolio demonstrating successful product launches, product campaigns, and writing and presentation samples.
  • Familiarity with investigating and applying customer insights, competitive intelligence, and market research to product marketing activities and assets.
  • A Ph.D. or Master's degree.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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