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The NetApp's Cloud Storage & Services division is responsible for delivering industryleading storage and data platforms that power missioncritical enterprise workloads. Our portfolio spans cloud storage services, deep integrations with hyperscaler AI/ML ecosystems, and AInative services that enable Fortune 500 customers to operationalize data and AI across hybrid and public cloud environments. 

We are seeking a Principal Product Manager - the most senior individual contributor product role at NetApp - to define and drive the longterm strategy, architecture, and execution of generative and agentic AI platforms. This role is reserved for a recognized product leader who operates with companylevel strategic impact, demonstrates deep technical credibility, and shapes outcomes across multiple teams, product lines, and executive stakeholders. 

As a Principal PM, you will set the multiyear vision for AIpowered services built on NetApp's data infrastructure, guide complex crossportfolio initiatives, and serve as a thought leader for enterprisegrade agentic systems, LLMbased platforms, and AIdriven user experiences. While this is an individual contributor role, your influence will extend broadly across engineering, research, design, gotomarket, field teams, partners, and executive leadership. 

AI strategy & roadmap 

• Own end-to-endAI strategyfor ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. 
• Prioritize investments acrossperformance,scale,data services,protocol and API surfaces, andoperational excellencefor AI pipelines. 

Workload-led product definition 

Drive requirements for AI-centric scenarios, including: 

• Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) 
• RAG and enterprise search (datasets, versioning, clones, refresh patterns) 
• Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) 
• Large multimodal and enterprise datasets (governance, access control, lifecycle) 
• Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) 

Hyperscaler & ecosystem partnership 

• Partner withMicrosoftteams acrossAzure AI / Foundry,Azure Machine Learning,AKS / container platforms,GPU infrastructure,data/analytics(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. 
• Align ANF's AI story withAzure-wide AI dataguidance and reference architectures, and feedreal customer workload evidenceback into joint planning. 

Cross-functional leadership 

• Lead acrossengineering, product marketing, sales, customer success, and professional servicesto ship capabilities and repeatablereference architectures / proof points. 
• Engagestrategic customersanddesign partnersto validate pain, quantify value, and de-risk roadmap bets. 

Market intelligence & evangelism 

• Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate intodifferentiated bets. 
• Represent ANF as acredible technical executivein briefings, advisory councils, and industry forums. 

Industry segmentation 

• Tailor AI storage strategy for segments where file semantics and performance matter, for example:semiconductor/EDA,manufacturing,healthcare imaging,financial services,energy,media & entertainment, andHPC/simulation-including compliance and data residency realities. 

• 15+ years of product management experience, including ownership of largescale, enterprisegrade platforms or cloud services. 
• Proven track record of defining and scaling AIpowered products, with handson experience in:  
• Generative AI and large language models 
• Agentic systems and autonomous workflows 
• RetrievalAugmented Generation (RAG) 
• Model orchestration, evaluation, and lifecycle management 
• Enterprise data platforms, vector databases, search, and knowledge graphs 
• Demonstrated ability to operate at both strategic and deeply technical levels, bridging executive vision and architectural detail. 
• History of influencing VP and Clevel stakeholders through clear product strategy, storytelling, and datadriven decisionmaking. 
• Exceptional written and verbal communication skills, with the ability to articulate complex AI concepts to diverse audiences. 
• Strong business judgment, systems thinking, and comfort navigating ambiguity at scale. 

• MBAor advanced degree inCS/Engineering(helpful, not a substitute for demonstrated technical depth).