Technical Product Manager

About the Role

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

• Product Strategy & Roadmap Execution
  • 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
• 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 LangGraph; shared AI services and reusable components
  • Partner with engineering to ensure solutions are scalable, secure, and production-ready
• AI & Data Use Case Delivery
  • Drive intake, prioritization, and execution of enterprise AI and agentic AI use cases
  • Support transition from POC → production → reusable platform assets
  • Enable business teams to leverage LLMs, agents, and AI-driven automation
  • Track adoption, success metrics, and business impact
• Cross-Functional Collaboration
  • Work closely with Engineering, Data Science, and Architecture; InfoSec, Legal, Procurement; business stakeholders across functions
  • Ensure alignment with Responsible AI, governance, and security standards
  • Clearly communicate trade-offs, priorities, and outcomes
• Adoption & Developer Experience
  • 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
• Product Execution Excellence
  • 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 Qualifications

• 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 LangGraph or similar frameworks for AI agent orchestration
• Experience using Jira, Confluence, and product/design collaboration tools
• Strong cross-functional collaboration and communication skills

Preferred Qualifications

• Working knowledge of Python for data/AI workflows or prototyping
• Experience with modern data stack (e.g., Databricks, Spark, Langraph, Kafka)
• Familiarity with MLOps and LLMOps practices
• Experience scaling GenAI and Agentic AI solutions from pilot to production
• Exposure to enterprise or regulated environments
• Experience with Figma or similar UX design tools
• Domain experience in semiconductor, manufacturing, or supply chain

Success Metrics

• Adoption and usage of enterprise data & AI platform capabilities
• Speed of AI and agentic workflows from concept to production
• Business impact from AI/GenAI-driven use cases
• Platform usability and developer experience
• Data quality, governance, and accessibility improvements