NetApp

Principal Product Manager

San Jose, California, USA · Principal · full-time

Sponsorship not specified$228k-$345kDetected 37 days ago

DatabricksAzureKubernetesMachine LearningLLMsRAGCustomer SuccessLeadership

About the role

We need a highly strategic and deeply technical principal PM who can: Define a multi-year AI vision and roadmap for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments.
Balance hyperscaler co-development constraints with NetApp differentiation (enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency, where relevant).
Define a multi-year AI vision and roadmap for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments.

AI strategy & Roadmap 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.
Cross-functional leadership Lead across engineering, product marketing, sales, customer success, and professional services to ship capabilities and repeatable reference architectures / proof points.

LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference I/O profiles, orchestration, and enterprise AI data pipelines.
experience with hyperscaler first-party or deeply partnered services is a strong plus.
Preferred 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.

The target salary range for this position is $228,000-$345,000.
The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range.
Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package.
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees.
This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment?you'll make it.

Education MBA or advanced degree in CS/Engineering (helpful, not a substitute for demonstrated technical depth).
Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package.
Benefits may vary by country and region, and further details will be provided as part of the recruitment process.

Engage strategic customers and design partners to validate pain, quantify value, and de-risk roadmap bets.
Excellent written and verbal communication skills for customers, executives, and engineers.
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees.

Employer: 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 or genetic information, pregnancy, protected veteran status, and any other protected classification.
Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment?you'll make it.
The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.
NetApp is the trusted partner for organizations transforming data into opportunity.

This listing is sourced directly from NetApp's careers page and normalized into a canonical job model.