Corporate Strategy - Technology Strategy Director at Micron in San Jose, CA

  • Company: Micron
  • Location: San Jose, CA
  • Salary: $203K – $356K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-22

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Job description

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Key Responsibilities Lead technology strategy workstreams related to AI workloads, acceleration architectures, and evolving memory and storage requirements across training, inference, data center, edge, and emerging AI applications. Identify and assess strategic growth opportunities for Micron memory and storage products by connecting AI workload trends, customer needs, technology roadmaps, competitive dynamics, and ecosystem changes. Collaborate with Micron technology teams and business units to convert AI architecture trends into practical product, platform, roadmap, and investment strategy suggestions. Work alongside customers, hyperscalers, AI infrastructure partners, accelerator providers, OEMs, and the extended ecosystem to identify technical needs, adoption obstacles, and chances for distinctive Micron solutions. Develop market and technology analyses that evaluate AI demand drivers, memory bandwidth and capacity needs, storage performance requirements, system architecture tradeoffs, and implications for Micron’s long-range strategy. Frame complex technical and market information into clear executive-level decision points, strategic options, arguments, and recommendations for senior leadership. Collaborate with Corporate Development to evaluate partnership, investment, and inorganic growth opportunities that could strengthen Micron’s AI technology position and ecosystem relevance. Drive cross-functional alignment across engineering, product, business unit, finance, operations, sales, and strategy teams to move from insight to execution on priority AI-related central initiatives. Build high-impact strategy communications, executive presentations, and thought leadership materials that articulate Micron’s opportunity in AI-enabled compute, memory, and storage markets. Qualifications & Skills Graduate-level technical degree in Electrical Engineering, Computer Science, Computer Engineering, or a related technical field required; MBA or equivalent experience preferred. 10+ years of semiconductor industry experience, with strong knowledge of memory, storage, compute architectures, and AI-related technology trends. Extensive understanding of AI workloads that encompass training, inference, scaling infrastructure, edge AI, accelerator frameworks, and relevant memory and storage demands. Proven experience collaborating with customers, ecosystem partners, or technology leaders to grasp technical requirements and convert them into strategy, roadmap, or business recommendations. Past experience must include executive-level presentations and ability to influence executive-level decisions. Broad experience interacting with engineering, business, and operations roles. Track record of timely execution, cross-functional leadership, consensus building, and bias for action; self-starter in a fast-paced, rapidly changing environment with dynamic demands. Excellent analytical and problem-solving skills, and attention to detail. Excellent verbal and written communication. Proficient in the use of advanced AI tools to build strategic concepts into actionable ideas. The US base salary range that Micron Technology estimates it could pay for this full-time position is: $203,000.00 - $356,000.00 a year Additional compensation may include benefits, bonuses and equity. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or t

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