Senior Product Manager @ NVIDIA

Our technology has no boundaries! NVIDIA is creating the world’s most groundbreaking and innovative compute platforms for the world to use! It’s because of our work that data engineers and data scientists can advance their ideas. We are looking for individuals to develop a GPU accelerated data processing and ML platform for data scientists to use. In this role, you'll lead and encourage adoption of the data processing service, your work should improve time to first query (TTFQ), QPS metrics, drive platform engagement metrics, and come up with innovative solutions that blends with groundbreaking NVIDIA's enterprise scale data science platform.What you’ll be doing:Define and Champion the Vision: Own the product vision, strategy, and roadmap for our data platform, ensuring alignment with overall company objectives and anticipating future data needs.Deeply Understand User Needs: Conduct extensive user research, collect requirements from data engineers, data scientists, analysts, and business customers to identify problems, opportunities, and unmet needs.Translate Needs into Actionable Requirements: Translate sophisticated business and technical requirements into detailed product specifications, user journeys, and acceptance criteria for engineering teams.Prioritize and Manage the Backlog: Drive product prioritization, balancing new feature development, technical debt, and platform stability, while continuously refining and grooming the product backlog.Collaborate Cross-Functionally: Work seamlessly with engineering, design, and data teams throughout the product lifecycle, from ideation and development to launch and iteration.Drive Data Governance and Quality: Promote standard processes to uphold data quality, governance, security, and compliance within the platform, safeguarding data integrity and trustworthiness.Go-to-Market Strategy and Adoption: Develop and execute go-to-market strategies, including internal communication, documentation, training, and evangelism to drive platform adoption and increase value for users.Monitor and Iterate: Define KPIs to measure product performance, analyze usage data, and leverage insights to advise future product improvements and iterations.Stay Ahead of the Curve: Monitor industry trends, competitive landscapes, and new…

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