Tech Product Manager, Data & AI Platform

Sandisk; Milpitas (CA); On-site; USD 130,000 - 170,000; Full time

Job summary

Sandisk in Milpitas, CA, is seeking a Technical Product Manager - Enterprise Data & AI to lead the data and AI platform strategy. You will collaborate with engineering, data science, and business stakeholders to build a scalable, secure data platform and enable AI/ML capabilities including agentic AI workflows.

The role emphasizes platform development, governance, and measurable business impact, with responsibilities from roadmap to backlog, aligning with responsible AI and security standards

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 (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.

Responsibilities

• Define and execute the product strategy and roadmap for the Enterprise Data & AI platform.
• Translate business and technical strategy into clear features and priorities.
• Collaborate with engineering, data science, and architecture teams to deliver scalable solutions.
• Drive adoption of data & AI capabilities and governance across the organization.
• Oversee PRDs, backlogs, user stories, release plans, and milestones.
• Ensure secure, production-ready, and compliant platform delivery.

Skills

Data platforms

AI/ML

Developer platforms

Jira/Confluence

LangGraph

Cross-functional

Agile

Tools

Python

Job description

Sandisk in Milpitas, CA, is seeking a Technical Product Manager - Enterprise Data & AI to lead the data and AI platform strategy. You will collaborate with engineering, data science, and business stakeholders to build a scalable, secure data platform and enable AI/ML capabilities including agentic AI workflows.

The role emphasizes platform development, governance, and measurable business impact, with responsibilities from roadmap to backlog, aligning with responsible AI and security standards