Head of Product Management and

Job Summary The Director of Product Management for AI & Open Source Data Platforms will lead the vision, strategy, and execution of products that sit at the intersection of enterprise AI, cloud‑scale data infrastructure, and open source ecosystems. This role is responsible for building differentiated, trustworthy, and scalable platforms that enable customers to manage, govern, and operationalize data for modern analytics and AI workloads across hybrid and multi‑cloud environments.
As a Director, you will manage and develop a team of product managers while partnering closely with engineering, open‑source program offices, research, go‑to‑market, and strategic partners. You will balance long‑term platform strategy with near‑term business impact, ensuring that investments in open‑source technologies and AI capabilities translate into customer value, ecosystem adoption, and revenue growth.
Key Responsibilities Define and own the product strategy and multi‑year roadmap for AI‑enabled data platforms, with a focus 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.
Define NetApp’s open‑source data infrastructure product strategy, including decisions around build, partner, or 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.
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.
Job Requirements 12-18 years of product management experience, with 5+ years in people‑leadership roles, preferably in enterprise software, cloud platforms, or data infrastructure.
Experience productizing open‑source data technologies (e.g., Strong track record of delivering platform‑scale products used by developers, data engineers, and enterprise customers.
Deep understanding of open‑source data technologies and ecosystems, with experience commercializing or productizing open‑source software.
Excellent communication skills, with the ability to translate complex technical concepts into clear business and customer value.
Education Bachelor’s degree in engineering, Computer Science, Data Science, or Information Systems.
MBA or master’s degree strongly preferred.
Compensation and Benefits The target salary range for this position is $228,000 - $340,000. Compensation packages include a comprehensive benefits program encompassing health, life, dental, retirement, paid time off, performance incentives, and equity awards.
We comply 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, genetic information, pregnancy, protected veteran status, and other protected characteristics.

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