NVIDIA is a leader in accelerated computing, seeking a passionate product marketer for their CUDA-X libraries. The role involves leading go-to-market strategies, crafting messaging, and creating assets that communicate the value of NVIDIA's products across various applications.
Responsibilities:
- Leading: Take a leadership role in defining strategic go-to-market plans that include product launches, campaigns, and events for the CUDA-X libraries across key industries. This includes effective messaging, positioning, and market research
- Building: Bring ideas to life through content creation of sales/partner enablement assets such as presentation decks, blogs, whitepapers, webinars, demos, and more
- Presenting: Engage with various audiences (internal and external), delivering ideas clearly with confidence using creative approaches, translating technology capabilities to messages that resonate
- Collaborating: Team up with product managers, product marketing teams, campaign marketing, developer relations, BD, sales, and PR teams to ensure alignment and execution of marketing plans
- Learning: Bring back industry news, direct developer/customer conversations, and share critical insights with internal teams
Requirements:
- Undergraduate degree or equivalent experience in computer science, computer engineering, or relevant technical field
- Experience developing content and speaking publicly to different audiences, with solid storytelling abilities. Please provide samples of public-facing content (blogs, decks, ebooks, etc.)
- Demonstrated conceptual understanding of the NVIDIA CUDA-X platform and its value proposition
- 12+ years of combined experience in a product marketing or technical role at a technology company
- Passion for getting things done quickly
- Ability to prioritize multiple projects and work independently with minimal direction
- Direct experience with CUDA-X libraries (linear algebra and/or image and signal processing)
- Strong knowledge and understanding of the HPC and AI markets
- Experience working with players in the HPC and AI ecosystem
- MBA or Master's degree or equivalent experience in Engineering or Computer Science from a leading university