Principal Product Manager

Own Every Moment at Net App

At Net App, 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.

Net App is hiring a principal‑level product leader to own the AI product strategy for Azure Net App Files (ANF)—a first‑party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between Net App and Microsoft. In the spirit of Net App’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 (performance, data locality, governance, and time‑to‑value for AI pipelines).

• Define multi‑year AI vision and roadmap for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments.
• Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high‑throughput checkpointing) into concrete product requirements and joint go‑to‑market narratives with Microsoft.
• Balance hyperscaler co‑development constraints with Net App differentiation (enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross‑cloud consistency where relevant).

• Own end‑to‑end AI strategy for ANF: problem selection, success metrics, phased delivery, and competitive positioning versus other Azure and AI‑native storage options.
• Prioritize investments across performance, scale, data services, protocol and API surfaces, and operational excellence for AI pipelines.

• 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 file system semantics).

• Partner with Microsoft teams across Azure 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 with Azure‑wide AI data guidance and reference architectures, and feed real customer workload evidence back into joint planning.

• Lead across engineering, product marketing, sales, customer success, and professional services to ship capabilities and repeatable reference architectures/proof points.
• Engage strategic customers and design partners to validate pain, quantify value, and de‑risk roadmap bets.

• Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into differentiated bets.
• Represent ANF as a credible technical executive in briefings, advisory councils, and industry forums.

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

• 10+ years product management in cloud infrastructure, enterprise storage, AI/ML infrastructure, or data platforms (principal scope: portfolio strategy, multi‑team alignment, executive storytelling).
• Strong command of enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large‑scale file system behavior under parallel workloads.
• Hands‑on familiarity with modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference I/O profiles, orchestration, and enterprise AI data pipelines.
• Demonstrated success influencing engineering and partner…