NetApp
Principal Product Manager
San Jose, California, USA · Principal · full-time
Sponsorship not specified$228k-$325kDetected 37 days ago
DatabricksAzureKubernetesMachine LearningLLMsRAGCustomer SuccessLeadership
About the role
- We need a?highly strategic and deeply technical?principal PM who can: Define?multi-year AI vision and roadmap?for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments.
- Balance?hyperscalerco-development?constraints with?NetApp differentiation?(enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency where relevant).
- Prioritize investments across?performance,?scale,?data services,?protocol and API surfaces, and?operational excellence?for AI pipelines.
Responsibilities
- AI strategy & roadmap Own end-to-end?AI strategy?for ANF: problemselection, 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.
- AI strategy & roadmap Own end-to-end?AI strategy?for
- Drive requirements for AI-centric scenarios, including:
- Engage?strategic customers?and?design partners?tovalidatepain, quantify value, and de-risk roadmap bets.
Nice to have
- LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs.inferenceIO profiles, orchestration, and enterprise AI data pipelines.
- experience with?hyperscalerfirst-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?enterpriseMLOps?release cadences.
- Background in?regulated industries?and enterprise security/governance requirements for AI data.
Skills
- Ready to innovate and contribute to our path to $10B?
- Role Overview We need a?highly strategic and deeply technical?principal
Compensation
- The target salary range for this position is $228,000 - $325,000.
- 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.
Benefits
- Define?multi-year AI vision and roadmap?for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments.
Company info
- Excellent written and verbal communication to?customers, executives, and engineers.
- Benefits may vary by country and region, and further details will be provided as part of the recruitment process.
Equal opportunity
- 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.