Sandisk

Technical Product Manager

Milpitas, California, United StatesFull timeManagerPosted 2 months ago
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Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. As part of the Sandisk Global IT organization, this role sits at the center of a company-wide transformation to embed AI into core operations and product innovation.We are seeking a Technical Product Manager – Enterprise Data & AI to drive execution of Sandisk’s enterprise data and AI platform strategy. You will partner closely with product leadership, engineering, and business stakeholders to build and scale a shared, secure, and unified data platform along with AI/ML and Generative AI capabilities, including agentic AI systems.This is a hands-on role focused on platform development, agentic AI enablement, orchestration, and delivering measurable business value.ESSENTIAL DUTIES AND RESPONSIBILITIES:1. Product Strategy & Roadmap ExecutionExecute the roadmap for Enterprise Data & AI platform capabilitiesTranslate business and technical strategy into clear product features and prioritiesBalance near-term delivery with long-term platform evolution and reuse2. Platform Product ManagementSupport development of core platform components:Data PlatformData lakehouse and enterprise data productsSemantic layer and governed data accessAI/ML PlatformModel development, deployment, and lifecycle (MLOps)Generative & Agentic AILLM-powered applications and agentic workflowsAI agent orchestration using frameworks like LangGraphShared AI services and reusable componentsPartner with engineering to ensure solutions are:Scalable, secure, and production-ready3. AI & Data Use Case DeliveryDrive intake, prioritization, and execution of enterprise AI and agentic AI use casesSupport transition from POC → production → reusable platform assetsEnable business teams to leverage LLMs, agents, and AI-driven automationTrack adoption, success metrics, and business impact4. Cross-Functional CollaborationWork closely with:Engineering, Data Science, and ArchitectureInfoSec, Legal, ...

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