Key technologies and capabilities for this role
Common questions about this position
Candidates need 5+ years leading teams with influence across executives, product, engineering, and global sales, plus 12+ overall years in product marketing, GTM, or equivalent leadership roles in enterprise technology.
Proficiency in technical architectures like GPU, AI, deep learning, and data platforms is required, combined with compelling storytelling, outstanding communication to technical and executive audiences, and strategic agility.
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Stand out with a track record of marketing AI, HPC, or enterprise software platforms at scale, along with portfolio examples of writing or video collateral demonstrating thought leadership.
Designs GPUs and AI computing solutions
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.