Senior Product Manager - AI Data Infrastructure
Listed on 2026-05-19
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IT/Tech
Systems Engineer, Cloud Computing: Infrastructure & Operations
Own Every Moment at Net App
At Net App, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.
Job SummaryWe are seeking a Principal Product Manager to lead the definition and evolution of Net App’s AI Data Infrastructure (AIDI) portfolio. This role owns a broad end‑to‑end AI infrastructure strategy, spanning ONTAP‑based data services delivered across multiple hardware platforms, integrated systems, reference architectures, and full‑stack AI solutions.
This PM operates at the center of Net App’s most strategic AI initiatives—working closely with architecture, engineering, and strategic technology partners—to define scalable, repeatable, and monetizable AI data platforms. The role focuses on enabling ONTAP and complementary data services across diverse system architectures, including high‑performance file and block platforms, scale‑out systems, and object storage, as well as validated reference architectures.
The role supports both Neocloud providers and Strategic Enterprise customers, shaping solutions that enable training, fine‑tuning, inference, and emerging AI workloads across hybrid and on‑prem environments.
Job Responsibilities- Define and own the holistic AIDI product strategy, centered on ONTAP‑based data services delivered across multiple hardware platforms, integrated systems, reference designs, and full solution architectures.
- Develop a phased AIDI roadmap, clearly articulating MVP capabilities, platform extensions, and long‑term architectural evolution.
- Identify and prioritize AI workload use cases (training, fine‑tuning, inference, multi‑tenant AI platforms) and map them to storage platforms, data services, and deployment models.
- Lead co‑development and integration efforts with strategic technology partners, spanning compute, accelerator, networking, and platform ecosystems.
- Define, productize, and maintain validated reference architectures and certified AI designs (e.g., clustered AI platforms, modular AI stacks), ensuring they are repeatable, supportable, and field‑ready.
- Act as the product interface between Net App storage platforms (ONTAP‑based systems, E‑Series, Storage
GRID) and external partner ecosystems. - Drive platform and system architecture decisions, including storage platforms, interconnects, and system‑level tradeoffs, in close partnership with architecture and engineering.
- Define end‑to‑end AI infrastructure solutions, combining multiple storage platforms, data services, lifecycle management, and operational integration—not just standalone components.
- Evaluate and define fulfillment and delivery models, including:
- Meet‑in‑the‑channel offerings
- OEM‑ and ODM‑based solutions
- Integrated and validated system offerings
- Gather and synthesize requirements from Neocloud providers and large enterprise customers, addressing performance, scale, multi‑tenancy, and operational simplicity.
- Translate customer needs into clear product requirements, differentiated value propositions, and business cases.
- Partner with GTM, sales, and field teams to ensure offerings are consumable, supportable, and aligned with real‑world deployment models.
- Define monetization strategies for AIDI offerings, including software licensing, subscriptions, consumption‑based models, and bundled platform offerings.
- Partner with finance and GTM teams to assess revenue impact, pricing, margin, and cost structure across solution types.
- Serve as the single point of accountability across architecture, engineering, sales, marketing, alliances, and operations for AIDI.
- Communicate strategy, architectural tradeoffs, and roadmap clearly to executive leadership and field organizations.
- Influence long‑term platform decisions that impact multiple product lines and business units.
- 15+ years of product management experience with enterprise infrastructure, storage platforms, or cloud‑adjacent systems.
- Strong understanding of on‑prem and/or cloud infrastructure and modern data center architectures.
- Proven experience partnering with architecture and engineering…
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