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# Senior Technical Program Manager, AI Strategic Initiatives

- **Company:** Micron Technology, Inc.
- **Location:** Boise, ID, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Computer Engineering, Dynamic Random-Access Memory, Large Language Models, Generative AI
- **Published:** October 8, 2026
- **Apply:** https://dejobs.org/x/x/2E1806D43D5545D4A340A2C50BCE20D4/job/

## About the Role

* Candidate must have a Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, or a related technical field, plus 8+ years in the semiconductor industry with strong understanding of memory/compute product development.
 * Experience leading complex, technical programs, involving multiple teams from definition through execution.
 * Deep familiarity with product engineering workflows - ideal backgrounds include PDTL, Engineering Execution Managers, or similar roles
 * Ability to synthesize technical complexity into clear executive communication
 * Demonstrated success achieving results through collaboration across organizations without direct authority, with proficiency using AI enabled tools and AI-augmented workflows, including Generative AI, LLMs, and AI-assisted approaches., * Product engineering leadership experience (PDTL, EEM) in DRAM, HBM, or compute-adjacent product lines
 * Familiarity with Micron's product development processes, stage-gate frameworks, and cross-BU collaboration
 * Understanding of AI/ML hardware trends and their intersection with memory and compute products
 * Business operations or planning experience in a technology organization
 * Hands-on experience with agentic AI solutions or AI assistants (e.g., Roo Code, Code Assist, Cloud Assist)

## Description

* Establish the program framework for Compute PE's AI initiatives, including timelines, dependencies, risks, and outcomes across concurrent workstreams.
 * Build alignment among Compute PE, Design, Technology Development, DRAM/NAND business units, and partner teams to keep workstreams on track.
 * Track initiative status, identify risks early, and partner with teams to resolve issues across organizational boundaries.
 * Create clear reporting for senior leaders on portfolio health, progress, and key decisions.
 * Partner with Product Development Team Leads (PDTLs) and engineering leaders to incorporate AI requirements into product roadmaps.
 * Identify coordination gaps and implement process improvements to accelerate critical initiatives.
 * Facilitate decision-making forums, track commitments, and maintain a reliable source of information for program status.
 * Apply AI-enabled tools and agentic solutions, such as Code Assist and Cloud Assist, to improve productivity in program workflows, reporting, and analysis.