Technical Product Manager

• Job Type (exemption status):
  Exempt position - Please see related compensation & benefits details below
• Business Function:
  Technical Product Management

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:

• Execute the roadmap for Enterprise Data & AI platform capabilities
• Translate business and technical strategy into clear product features and priorities
• Balance near‑term delivery with long‑term platform evolution and reuse

2. Platform Product Management

Support development of core platform components:

Data Platform

• Data lakehouse and enterprise data products
• Semantic layer and governed data access

AI/ML Platform

• Model development, deployment, and lifecycle (MLOps)

Generative & Agentic AI

• LLM-powered applications and agentic workflows
• AI agent orchestration using frameworks like Lang Graph
• Shared AI services and reusable components

Partner with engineering to ensure solutions are:

• Scalable, secure, and production‑ready

3. AI & Data Use Case Delivery

• Drive intake, prioritization, and execution of enterprise AI and agentic AI use cases
• Enable business teams to leverage LLMs, agents, and AI‑driven automation
• Track adoption, success metrics, and business impact

4. Cross‑Functional Collaboration

• Work closely with:
  • Engineering, Data Science, and Architecture
  • Info Sec, Legal, Procurement
  • Business stakeholders across functions
• Ensure alignment with Responsible AI, governance, and security standards
• Clearly communicate trade‑offs, priorities, and outcomes
• Define and improve developer and user experience for the Data & AI platform
• Support onboarding via documentation, templates, and self‑service tooling
• Drive adoption of agentic AI frameworks and reusable workflows
• Own and maintain:
  • PRDs, product backlogs, and user stories
  • Release plans and delivery milestones
• Use tools such as Jira and Confluence to manage delivery and collaboration
• Partner with design teams using Figma to define intuitive user experiences
• Ensure high‑quality outcomes through Agile execution

Required

• 5–10 years of experience in product management or technical product roles
• Experience with data platforms, AI/ML systems, or developer platforms
• Strong understanding of:
  • Modern data architectures (lakehouse, pipelines, semantic layer)
  • AI/ML fundamentals and Generative AI (LLMs, agents)
  • Agentic AI design and orchestration concepts (e.g., multi‑agent workflows)
• Familiarity with Lang Graph or similar frameworks…