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Senior Product Manager, Ai And Ml Platform
Company | NVIDIA |
Address | California, United States |
Employment type | FULL_TIME |
Salary | |
Category | Computer Hardware Manufacturing,Software Development,Computers and Electronics Manufacturing |
Expires | 2023-09-03 |
Posted at | 9 months ago |
NVIDIA has become the platform upon which every new AI-powered application is built. From healthcare research applications to autonomous vehicles, or voice-recognition systems, there is a need to simplify and deliver predictability for AI applications and workflows and NVIDIA is right in the center of this revolution.
- Develop a product vision to encourage your team along with the product strategy to get there
- Bring the product perspective when collaborating with engineers and researchers to craft and architect platform software for the end customer
- Develop and review customer-ready collateral based on engineering or technical documents. E.g., Whitepapers, Product Specifications, etc.
- Bring together requirements for next-generation products including competitive analysis and customer feedback
- Define use cases, examples, and tools to convey the product value proposition to a variety of audience-ranging from the technically savvy to the novice
- Collaborate with engineering, design, operations, sales, and marketing teams in driving the new product introduction process and product transitions
- Educate current and potential customers and promote the product
- Strong analytical, marketing, and project management skills - a drive for results and a history of successful execution on projects
- Prior success balancing multiple projects at a time
- 7+ years of meaningful work experience in software development, product management at a technology company
- Bachelor’s degree in Computer Science, Computer Engineering, or similar field or equivalent experience
- Solid understanding of programming techniques, and software development
- Excellent communication and presentation abilities
- Self-starter, hands-on demeanor in a multifaceted environment
- Excellent balance of deep technical and business knowledge
- Passion for building ground-breaking products/technologies
- Background with Machine Learning Operations (MLOps)
- Software development or data engineering skills
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