Principal Product Manager

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.

Responsibilities

• 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.

Requirements

• 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.

Nice to Have

• 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.

We offer highly competitive salaries and a comprehensive benefits package. The expected base salary range for this position is 240,000 USD – 379,500 USD.