NetApp is looking to build next-generation generative and agentic AI services to power the data and AI needs of Fortune 500 companies.
Requirements
- 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.
Responsibilities
- 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.
Other
- Experience in product management or related technical role preferably in a SaaS or cloud services company.
- Excellent oral and written communication skills with the ability to influence others internally and externally.
- Support customer onboarding, adoption, and value realization in partnership with GTM and Customer Success teams
- Typically requires a minimum of 8 years of related experience.
- Most roles will have some level of in-office and/or in-person expectations
