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Product Manager

Product Manager

NetAppSan Jose, CA, US
30+ days ago
Job type
  • Full-time
Job description

About NetApp

NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people.

If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond.

Job Summary

The AI product team within NetApp's public cloud storage division is responsible for building industry "best-in-class" products for cloud storage services, integration of NetApp storage with cloud AI / ML services and buidling AI services. We are responsible for delivering a set of products and services that innovate to power the data and AI needs of Fortune 500 companies across enterprise and cloud deployments.

We have a unique opportunity in the AI Product team for a Product Manager who will focus on building next-generation generative and agentic AI services. You will be part of the team which owns the vision, strategy, and execution for building and scaling NetApp's next-generation AI-powered agentic platform. You will collaborate with cross-functional teams—including engineering, data science, UX, and GTM—to deliver robust, scalable, and customer-centric services that leverage NetApp's data infrastructure. This is a high-impact role for a product leader passionate about AI, agentic systems, and enterprise data management.

Job Requirements

Define and articulate the product features, strategy, and roadmap for AI features, aligning with NetApp's business goals and customer needs.

  • Own the full product lifecycle : ideation, requirements gathering, prioritization, development, pricing, launch, iteration, and growth.
  • Partner with engineering, data science, and design teams to deliver high-quality, scalable, and resilient cloud services.
  • Develop and maintain a transparent, prioritized product backlog; write detailed PRFAQ documents, user stories and product requirements.
  • Define and track key performance indicators (KPIs) for product and feature success; use data-driven insights to iterate and improve.
  • Stay at the forefront of AI innovation, especially in agentic AI, LLM orchestration, RAG, memory, planning, re-ranking, vector databases, etc.
  • Communicate product progress, and outcomes to stakeholders, leadership, and cross-functional teams.
  • Support customer onboarding, adoption, and value realization in partnership with GTM and Customer Success teams

Job Requirements

  • Experience in product management or related technical role preferably in a SaaS or cloud services company.
  • Experience in building generative AI services or launching products / services using generative AI is required. Understanding of AI techniques such as Retrieval Augmented Generation (RAG) and advanced algorithms, fine tuning, Re-enforcement learning, ETL / ELT pipelines, search indexing and optimization, knowledge graphs, etc.
  • Strong experience in defining product roadmap, authoring product requirements and launching cloud services.
  • Ability to analyze data, problem-solve, analyze trade-offs, and scope business requirements.
  • Excellent oral and written communication skills with the ability to influence others internally and externally.
  • Education

    IC - Typically requires a minimum of 8 years of related experience.Mgr & Exec - Typically requires a minimum of 6 years of related experience.

    Compensation :

    The target salary range for this position is 154,700 - 231,000 USD. 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 (PTO), 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.

    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.

    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 NetApp?

    We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.

    We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time per year to volunteer with their favorite organizations. We provide comprehensive medical, dental, wellness, and vision plans for you and your family. We offer educational assistance, legal services, and access to discounts. Finally, we provide financial savings programs to help you plan for your future.

    If you want to help us build knowledge and solve big problems, let's talk.

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