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Principal Pm Jobs (NOW HIRING)

NetApp, Inc.

Principal Product Manager

San Jose, CA · On-site

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 ...

Osano

Principal Product Manager

Austin, TX · On-site

Part 2 - Principal-Level Operational Leadership As a Principal PM, you will help raise the bar across the Product organization by improving consistency, mentoring peers through influence, and helping ...

Osano

Principal Product Manager

Austin, TX

Part 2 - Principal-Level Operational Leadership As a Principal PM, you will help raise the bar across the Product organization by improving consistency, mentoring peers through influence, and helping ...

Ordergroove

Principal Product Manager

New York, NY

As a Principal PM at Ordergroove, you'll set product vision and strategy for one of our most strategic surfaces, partner with senior leadership on the biggest bets, and ensure we're building durable ...

Okta

Key Portfolio Focus Areas As the Principal PM, you will drive the strategy and directly influence the product direction for Okta's premier identity security offerings across both our workforce and ...

Microsoft

Principal Product Manager

Redmond, WA · On-site

$142K - $274K/yr

We are hiring a Principal PM Manager to lead this team. You will set strategy and mission plans across planning cycles, define clear ownership and success metrics, coach a team of product managers ...

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How much do principal pm jobs pay per year?

As of Jul 14, 2026, the average yearly pay for principal pm in the United States is $109,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $125,000.00 per year, depending on experience, location, and employer.
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Infographic showing various Principal Pm job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $109,393 per year, or $52.6 per hour.
Principal Product Manager

Principal Product Manager

NetApp, Inc.

San Jose, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 18 days ago

Job description

Job Summary
NetApp is hiring a principal-level product leader to own the AI product strategy for Azure NetApp Files (ANF)-a first-party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between NetApp and Microsoft.
In the spirit of NetApp'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).
You will sit at the intersection of enterprise storage, Azure AI infrastructure, and industry AI workloads, ensuring ANF is positioned and built as a strategic data foundation for training, inference, RAG, analytics, simulation, and agentic workflows-without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models.
Role Overview
  • 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.
    • 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 NetApp differentiation (enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency, where relevant).

Key Responsibilities
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.
  • Prioritize investments across performance, scale, data services, protocol and API surfaces, and operational excellence for 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 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.

Cross-functional leadership
  • 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.

Market intelligence & Evangelism
  • Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate these into differentiated bets.
  • Represent ANF as a credible technical executive in 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, and HPC/simulation-including compliance and data residency requirements.

Job Requirements
  • 10+ years of product management experience 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 filesystem 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 roadmaps without direct authority; experience with hyperscaler first-party or deeply partnered services is a strong plus.
  • Excellent written and verbal communication skills for customers, executives, and engineers.

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.

Education
  • MBA or advanced degree in CS/Engineering (helpful, not a substitute for demonstrated technical depth).

Compensation:
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. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.

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