AI Data Infrastructure Strategy & VisionÂ
Define and own theholistic AIDI product strategy, centered onONTAPbased data services delivered across multiple hardware platforms, integrated systems, reference designs, and full solution architectures.Â
Develop aphased AIDI roadmap, clearly articulating MVP capabilities, platform extensions, and longterm architectural evolution.Â
Identify and prioritizeAI workload use cases(training, finetuning, inference, multitenant AI platforms), and map them tostorage platforms, data services, and deployment models.Â
Reference Architectures & Partner EcosystemÂ
Leadcodevelopment and integration efforts with strategic technology partners, spanning compute, accelerator, networking, and platform ecosystems.Â
Define, productize, and maintainvalidated reference architectures and certified AI designs(e.g., clustered AI platforms, modular AI stacks), ensuring they are repeatable, supportable, and fieldready.Â
Act as the product interface betweenNetApp storage platforms (ONTAPbased systems, ESeries, StorageGRID)and external partner ecosystems.Â
Platform & Ecosystem DefinitionÂ
Driveplatform and system architecture decisions, including storage platforms, interconnects, and systemlevel tradeoffs, in close partnership with architecture and engineering.Â
Defineendtoend AI infrastructure solutions, combining multiple storage platforms, data services, lifecycle management, and operational integration-not just standalone components.Â
Evaluate and definefulfillment and delivery models, including:Â
Meetinthechannel offeringsÂ
OEM and ODMbased solutionsÂ
Integrated and validated system offeringsÂ
Customer, Market & Business RequirementsÂ
Gather and synthesize requirements fromNeocloud providersandlarge enterprise customers, addressing performance, scale, multitenancy, and operational simplicity.Â
Translate customer needs intoclear product requirements, differentiated value propositions, and business cases.Â
Partner with GTM, sales, and field teams to ensure offerings areconsumable, supportable, and aligned with realworld deployment models.Â
Monetization & Business ModelsÂ
Definemonetization strategiesfor AIDI offerings, including software licensing, subscriptions, consumptionbased models, and bundled platform offerings.Â
Partner with finance and GTM teams to assessrevenue impact, pricing, margin, and cost structureacross solution types.Â
CrossFunctional LeadershipÂ
Serve as thesingle point of accountabilityacross architecture, engineering, sales, marketing, alliances, and operations for AIDI.Â
Communicate strategy, architectural tradeoffs, and roadmap clearly toexecutive leadership and field organizations.Â
Influencelongterm platform decisionsthat impact multiple product lines and business units.