Director, Product Mgmt

NetApp is a leading company in cloud data services and data management. The Director of Product Management for AI & Open Source Data Platforms will lead the vision and execution of products that support enterprise AI and cloud data infrastructure, while managing a team of product managers and collaborating with various departments to drive product strategy and execution.

Responsibilities:

• Define and own the product strategy and multi year roadmap for AI enabled data platforms, with a strong emphasis on open source data infrastructure (e.g., distributed storage, data orchestration, streaming, search, and metadata systems)
• Identify and articulate how NetApp grade enterprise capabilities—security, governance, performance, reliability—differentiate open source based solutions in production AI and analytics environments
• Align product strategy with company objectives, market trends, and customer transformation initiatives across data modernization and AI adoption
• Drive the integration of generative AI and agentic capabilities into data infrastructure products, enabling use cases such as intelligent data management, autonomous operations, and AI assisted user experiences
• Partner with engineering and architecture leaders to shape platform capabilities including: Data ingestion and pipelines for AI workloads, Retrieval Augmented Generation (RAG) architectures, Model orchestration, evaluation, and observability, Policy driven governance, data lineage, and compliance
• Ensure products are designed for operational excellence at enterprise scale, balancing innovation speed with robustness and trust
• Define NetApp’s open source data infrastructure product strategy, including decisions around build vs. partner vs. community collaboration
• Work closely with open source communities, foundations, and partners to influence roadmaps while maintaining healthy upstream engagement
• Establish clear product and business models around open source software, including subscriptions, managed services, and enterprise extensions
• Lead end to end product execution across multiple teams, ensuring clarity on priorities, milestones, and measurable outcomes
• Partner with sales, marketing, and alliances to define positioning, packaging, pricing, and launch strategies for AI and data platform offerings
• Engage directly with strategic customers, field teams, and partners to validate direction, gather feedback, and accelerate adoption
• Build, manage, and mentor a high performing team of product managers across platform, AI, and open source domains
• Set a high bar for product craftsmanship, including customer discovery, roadmap rigor, outcome based metrics, and clear product narratives
• Foster a culture of collaboration, curiosity, and accountability within the product organization