About NVIDIA
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI company.”
What you'll be doing
- Collaborate with security engineers, developers, and other stakeholders to define the product roadmap and strategy for cloud security offerings.
- Translate complex security requirements into clear and concise product specifications and user stories.
- Prioritize features and enhancements based on customer needs, market trends, and business objectives.
- Work closely with engineering teams throughout the product development lifecycle, ensuring timely delivery of high-quality solutions.
- Develop and maintain relationships with key customers and partners to gather feedback and identify new opportunities.
- Stay up-to-date with the latest cloud security trends, technologies, and competitive landscape.
- Communicate product vision, strategy, and progress to internal and external audiences.
What we need to see
- 5+ years of experience in product management, with a focus on cloud security or enterprise software.
- Proven experience in defining and launching successful cloud security products or features.
- Strong understanding of cloud computing platforms (AWS, Azure, GCP), containerization technologies (Kubernetes, Docker), and security frameworks.
- Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
- Demonstrated ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
Ways to stand out from the crowd
- Experience with SaaS products and services.
- Familiarity with machine learning and AI applications in cloud security.
- Experience with API security and microservices architecture.