Senior Product Owner - AI-Driven Smart Manufacturing

Micron Technology, Inc.; Boise (ID); On-site; USD 120,000 - 170,000; Full time

Job summary

Micron Technology, Inc. in Boise, Idaho seeks a Senior/Staff Product Owner for SMART MFG & AI to drive AI-enabled smart manufacturing initiatives across semiconductor operations.

You will collaborate with data scientists, ML engineers, and engineering teams to define requirements, prioritize solutions, and deliver end-to-end projects that enhance yield, quality, and performance. The role emphasizes translating business needs into actionable specs, managing Agile processes, and delivering

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, or related field.
• Minimum 3 years of semiconductor industry experience (assembly, test, product engineering, or quality/reliability).
• Experience gathering business requirements and translating them into actionable specs for development teams.
• Experience managing Agile product development processes with user stories, sprint planning, and backlog management.

Responsibilities

• Lead the development and implementation of AI-driven Smart Manufacturing solutions to improve yield, quality, and system performance.
• Collaborate with cross-functional teams (Test Solutions, Product Engineering, Global Quality) to drive digital transformation initiatives.
• Define requirements, prioritize solutions, and deliver end-to-end projects with Data Scientists and ML Engineers.
• Translate business needs into detailed requirements, acceptance criteria, and data specifications.

Skills

Agile development

Requirements gathering

Stakeholder management

Jira

Confluence

Data analysis

Cross-functional collaboration

Education

Bachelors in Engineering/CS

Master's degree preferred

Tools

Jira

Confluence

Job description

Micron Technology, Inc. in Boise, Idaho seeks a Senior/Staff Product Owner for SMART MFG & AI to drive AI-enabled smart manufacturing initiatives across semiconductor operations.

You will collaborate with data scientists, ML engineers, and engineering teams to define requirements, prioritize solutions, and deliver end-to-end projects that enhance yield, quality, and performance. The role emphasizes translating business needs into actionable specs, managing Agile processes, and delivering