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.

Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, Net App is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function.

The Net App’s Cloud Storage & Services division is responsible for delivering industry‑leading storage and data platforms that power mission‑critical enterprise workloads. Our portfolio spans cloud storage services, deep integrations with hyperscaler AI/ML ecosystems, and AI‑native 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 Net App — to define and drive the long‑term strategy, architecture, and execution of generative and agentic AI platforms. This role is reserved for a recognized product leader who operates with company‑level 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 multi‑year vision for AI‑powered services built on Net App’s data infrastructure, guide complex cross‑portfolio initiatives, and serve as a thought leader for enterprise‑grade agentic systems, LLM‑based platforms, and AI‑driven user experiences. While this is an individual contributor role, your influence will extend broadly across engineering, research, design, go‑to‑market, field teams, partners, and executive leadership.

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

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 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.