
location_onWyman Street, Waltham, Middlesex County, Massachusetts, 02451, United States
At NetApp, your ideas power innovation. We lead in intelligent data infrastructure, delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.
We are on a path to $10B in value, and we need passionate teams to tackle real-world challenges. Here, you will collaborate to see your impact in how customers transform and grow. Our culture celebrates mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership, providing flexibility so you can balance professional ambition with your personal life. At NetApp, differences are not just welcomed—they drive everything we do.
NetApp is hiring a Principal Product Leader to own the AI product strategy for Azure NetApp Files (ANF)—a first-party, fully managed enterprise file service on Microsoft Azure delivered in deep partnership between NetApp and Microsoft. In the spirit of NetApp's "business builder" cloud roles, you will translate a fast-moving AI landscape into differentiated platform capabilities, joint roadmap bets with Microsoft, and enterprise outcomes.
You will sit at the intersection of enterprise storage, Azure AI infrastructure, and industry AI workloads. Your mission is to ensure ANF is positioned and built as a strategic data foundation for training, inference, RAG, analytics, simulation, and agentic workflows. Crucially, you will achieve this without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models. You will define the multi-year AI vision for ANF, turning emerging patterns like LLMs, RAG, and agents into concrete product requirements and joint go-to-market narratives.
At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, and the bold ideas that turn good into great are how our people operate. We embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. Most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state, and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability, genetic information, pregnancy, protected veteran status, and any other protected classification.
Work model: On-site
Wyman Street, Waltham, Middlesex County, Massachusetts, 02451, United States
Waltham, Massachusetts
Direct experience with Microsoft Azure AI services, GPU estates on Azure, and/or Azure Kubernetes Service + ML platform integrations. Familiarity with Databricks, Iceberg/Delta-class open table patterns, Kubernetes storage patterns, NVIDIA AI software stacks, and enterprise MLOps release cadences. Background in regulated industries and enterprise security/governance requirements for AI data. MBA or advanced degree in CS/Engineering.
Skills: Azure, Azure Ai, Azure Machine Learning, Azure Kubernetes Service, Ak, Databricks, Iceberg, Delta, Kubernetes, Nvidia Ai.
Education: MBA or advanced degree in CS/Engineering (helpful, not required).