Principal Product Manager - NVIDIA Data Services

The NVIDIA Data Services team builds platforms that help researchers and engineers discover, manage, prepare, and access data for AI. We are looking for a Principal Product Manager to own the strategy, roadmap, and adoption of our shared data platform, anchored in Dataset Storage Service (DSS). You will be working closely with researchers, data owners, and infrastructure teams to turn recurring problems into clear requirements, priorities, and acceptance criteria. What you will be doing: Own product strategy and roadmap for DSS and supporting data services, balancing customer needs, engineering capacity, reliability, and cost. Define workflows for dataset discovery, versioning, sharing, curation, and delivery to training, with governance and traceability from source data to model releases. Partner with engineering to improve data processing, movement, and access across storage systems and compute clusters. Drive adoption across NVIDIA teams through coordinated onboarding, consistent APIs and developer tools, documentation, and customer feedback, and measure the impact Take capabilities from early access to production with engineering, SRE, and partner teams, aligning release scope, service expectations, and support ownership. What we need to see: 15+ years of significant work experience in product management A degree in Computer Science, Engineering, or a related technical field, or equivalent experience. A record of owning technical products in data platforms, storage, cloud infrastructure, developer tools, or AI/ML, from customer discovery through production adoption. Strong understanding of cloud storage, distributed systems, APIs, and data processing, with the ability to evaluate performance, reliability, security, and cost trade-offs. Familiarity with AI training data workflows, including dataset versioning, selection, and staging, and physical AI data such as robotics, video, sensor, or 3D datasets. Ability to turn ambiguous customer needs into focused product plans, make prioritization decisions, and define measurable outcomes. Experience aligning engineering, research, operations, and business teams without direct authority, and communicating priorities and tradeoffs clearly to executives. Ways to stand out from the crowd: Experience with search, embeddings, data curation, provenance, or reproducible training and evaluation. Experience building adoption of shared data services at scale, including governance, compliance, and reliable production operations. Experience bringing internal platforms to open source, including public APIs, documentation, licensing, and developer or partner adoption. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you. #LI-Hybrid Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 240,000 USD – 379,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 16, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.