Key skills
Product managementData analytics technologiesTechnical communicationQuantitative degreeUser research synthesisPartner ecosystem activationOpen-source collaborationFast-paced environment adaptabilityGoAnalyticsUser ResearchProduct ManagementCommunicationCustomer Success
About this role
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. They are seeking an outstanding Senior Product Manager to guide development and drive enterprise adoption of accelerated computing in structured data query engines.
Responsibilities:
- Define, own, and drive the strategy enabling the world’s enterprises to adopt accelerated query engines powered by NVIDIA’s platform
- Engage deeply with customers, ISVs, storage partners, and CSPs to find opportunities to improve their experience, owning the voice of the customer and incorporating insights into hardware and software roadmaps and priorities
- Collaboratively develop and lead enterprise go-to-market motions, working with a cross-functional team on asset creation, market research, positioning, enablement, etc
- Track and act on important measures for adoption, engagement, and customer success to continuously improve our value proposition and developer experience
- Serve as the point person for presenting vision, opportunities, and progress, setting expectations and managing internal and external collaborators
Requirements:
- BS or MS Degree in a quantitative field (e.g., Computer Science, Applied Math, Computational Science, Engineering, etc.) or equivalent experience
- 10+ years of product management experience (or similar) focused on data analytics technologies
- 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
- Track record of working closely with and activating partner ecosystems
- Outstanding communication skills with demonstrated ability to articulate a value proposition to technical and non-technical audiences
- Experience with accelerated data analytics software, including cuDF
- Experience collaborating with and contributing to open-source projects related to databases, lakehouse and warehouse query engines, or similar
- Proven ability to thrive and succeed in a fast-paced environment with multiple priorities