Bachelor’s Degree in a quantitative field or equivalent experience
6+ years of proven experience in a similar role
Hands on work with data science data engineering or machine learning problems within the PyData world
Excellent balance of deep technical and business knowledge of the data analytics space
Analytical approach and ability to synthesize user research engineering feasibility and market trends into product strategy
Extraordinary interpersonal skills with a validated ability to articulate a value proposition to technical and non-technical audiences
What the job involves
Bring together insight and market analysis to help shape how NVIDIA enables accelerating computing in the PyData ecosystem
Work with library developers data scientists and engineers to discover underlying needs and incorporate them into roadmaps and priorities
Work closely with engineering to align priorities define requirements and implement
Engage with customers educate the developer community drive strategic integrations present at conferences and identify user difficulties
Develop and implement cross-functional go-to-market strategies spanning marketing engineering developer relations PR sales etc.
Work with internal and external partners to define positioning and build technical content including blog posts workshops and more to share the product value proposition
NVIDIA is a pioneer in accelerated computing, reshaping the industry with GPUs and data-center-scale offerings that drive AI innovations and power the metaverse.