Principal Product Manager
Not Disclosed•Full-TimeOn-site
location_onBaughman Avenue, Haysville, Riverside Township, Sedgwick County, Kansas, 67060, United States
About NetApp
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 growth, and we need passionate teams to tackle real-world challenges. Here, you will see your impact in how customers transform and grow. At NetApp, you won't wait for the perfect moment—you'll make it. We celebrate mold breakers, bold thinkers, and problem solvers who reward initiative, impact, and ownership. Differences are not just welcomed—they drive everything we do.
About the Role
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. You will enable customers to adopt these advanced capabilities without forcing them to abandon enterprise file semantics, protection, or hybrid operating models. This role requires a highly strategic and deeply technical leader who can define a multi-year AI vision, turn emerging patterns like LLMs and vector retrieval into concrete product requirements, and balance hyperscaler co-development constraints with NetApp differentiation.
Why You'll Thrive Here
NetApp embraces a hybrid working environment designed to strengthen connection, collaboration, and culture. We provide flexibility so you can balance professional ambition with your personal life. Our culture rewards those who bring curiosity, creativity, and drive to every moment. If you are ready to innovate, rise to the challenge, and own every moment, NetApp is where your journey begins.
Equal Opportunity
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.
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Skills, education and keywords
Skills: Azure Netapp Files, Azure Ai, Azure Machine Learning, Aks, Kubernetes, NFS, SMB, LLMS, Rag, Databricks.
Education: MBA or advanced degree in CS/Engineering (helpful, not required); MBA or advanced degree in CS/Engineering (helpful, not required).
Frequently asked questions about Principal Product Manager at NetApp
What does a Principal Product Manager at NetApp do?expand_more
In this Principal Product Manager at NetApp role, you will define multi-year ai vision and roadmap for azure netapp files in context of azure ai services and gpu estates; drive requirements for ai-centric scenarios including training, inference, rag, and agentic workflows; partner with microsoft teams across azure ai, ml, container platforms, and gpu infrastructure to align roadmaps; and lead cross-functional engineering, marketing, and sales teams to ship capabilities and reference architectures.
What are the requirements for this Principal Product Manager role?expand_more
To qualify for the Principal Product Manager at NetApp position, applicants should have: 10+ years product management in cloud infrastructure, enterprise storage, AI/ML infrastructure, or data platforms; Strong command of enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large-scale filesystem behavior; Hands-on familiarity with modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference IO profiles, orchestration, and enterprise AI data pipelines; and MBA or advanced degree in CS/Engineering.