Corporate Strategy - Technology Strategy Director - San Jose, CA, United States
$203,000 - $356,000 USD yearly
Originally posted 22 October 2026 by the employer.
About the role
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.
What you'll do
- Lead technology strategy workstreams covering AI workloads, acceleration architectures, and memory and storage requirements across training, inference, data center, and edge. - Identify strategic growth opportunities for memory and storage products by analyzing AI workload trends, customer needs, roadmaps, and competitive dynamics. - Collaborate with engineering teams and business units to translate AI architecture trends into product, platform, roadmap, and investment recommendations. - Work alongside customers, hyperscalers, AI infrastructure partners, accelerator providers, and OEMs to identify technical needs and adoption hurdles. - Develop market and technology analyses assessing AI demand drivers, memory bandwidth, capacity requirements, storage performance, and system architecture tradeoffs. - Frame complex technical and market information into executive-level decision points and recommendations for senior leadership. - Partner with Corporate Development to evaluate partnership, investment, and inorganic growth opportunities across AI technology ecosystems.
What you'll need
- Graduate-level technical degree in Electrical Engineering, Computer Science, Computer Engineering, or a related technical field. - 10+ years of semiconductor industry experience, with strong knowledge of memory, storage, compute architectures, and AI-related technology trends. - In-depth understanding of AI workloads spanning training, inference, scaling infrastructure, edge AI, accelerator frameworks, and memory and storage demands. - Proven experience collaborating with customers, ecosystem partners, or technology leaders to translate technical requirements into strategy or roadmap recommendations. - Experience delivering executive-level presentations and influencing executive decision-making. - Proficiency using advanced AI tools to convert strategic concepts into actionable ideas.
Nice to have
- MBA or equivalent experience.
Skills: technology strategy, AI workloads, memory, storage, accelerators, hyperscalers
This role has been open 0 days — well below the 45-day median for Product Management roles.
Product Management · AI ML Hardware
|
Open roles in category
70
|
Median days open
45 d
|
Median salary
$248k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Micron Technology | All employers we track in this specialty (70 roles · 22 employers) |
|---|---|---|
| Open roles in this specialty | 3 | 70 |
| Median days open | 42 d | 45 d (−3 d vs this employer) |
| Median salary (USD postings) | — | $248k |
Skills observed across this category: technology strategy, AI workloads, memory, storage, accelerators, hyperscalers
Who's hiring in this category
- NVIDIA · 23 open roles · median 36 d
- Qualcomm · 10 open roles · median 70 d
- AMD · 8 open roles · median 55 d
- NXP Semiconductors · 4 open roles · median 21 d
- Analog Devices · 3 open roles · median 40 d
- SambaNova · 3 open roles · median 42 d
How we counted: 70 open Product Management (AI ML Hardware) roles from 22 employers tracked in the SemiconductorJobs index, counted 22 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.