Director / VP, AI Infrastructure Product Strategy
| Hours | Full-time |
|---|---|
| Location | San Jose, CA 95121, US San Jose, California open_in_new |
About this job
Job Description
Job Title: Director / VP, AI Infrastructure Product Strategy
Location: San Jose, CA or Irvine, CA
Compensation: $275K - $325K base plus equity
Requirements: AI Infrastructure, Product Strategy, Technical Product Marketing, Hyperscalers, Data Center Architecture, AI Accelerators / GPU Systems, Memory Systems (DDR, HBM, PCIe/CXL), Technology Roadmap
Company Brief
We are a leading provider of high-performance modular memory subsystems and next-generation storage-class memory solutions. We specialize in cutting-edge technologies that enable innovation in AI, cloud computing, and enterprise infrastructure. Our product portfolio includes DDR4/DDR5 DIMMs, NAND-based SSDs, and advanced interconnect technologies such as CXL and PCIe.
Role
This is a strategic, highly visible role responsible for identifying important and commercially meaningful problems in AI infrastructure and translating those problems into product opportunities. The successful candidate will develop close relationships with architects, engineers, technology executives, and business leaders at hyperscalers, cloud service providers, server OEMs, and other companies deploying AI infrastructure.
You will investigate how AI workloads are evolving, understand the infrastructure challenges created by those workloads, and identify opportunities where our company can create differentiated products.
You will work closely with our Chief AI Systems Architect, AI Hardware / Memory Systems Architects, AI Inference / Systems Software Architects, engineering, and executive teams to evaluate market opportunities and translate them into product concepts and a roadmap.
Key Responsibilities
Customer & Market Insights
- Build relationships with hyperscalers, cloud providers, OEMs, and enterprise data center leaders.
- Conduct customer discovery to identify AI infrastructure challenges, requirements, and emerging needs.
- Maintain market intelligence on customer pain points, trends, and competing solutions.
AI Infrastructure Strategy
- Stay current on AI infrastructure technologies, including LLM inference, agentic AI, GPUs, HBM, DDR, CXL, AI networking, KV-cache, edge AI, and data center architectures.
- Monitor industry developments and identify future market opportunities.
Product Strategy & Opportunity Development
- Translate customer needs and technology trends into product opportunities.
- Define product concepts, value propositions, target customers, and use cases.
- Assess technical feasibility, market potential, and strategic fit.
Product Definition & Validation
- Develop customer-backed product requirements and specifications.
- Quantify business and technical value.
- Validate concepts with prospective customers before major R&D investment.
Roadmap & Business Planning
- Own the AI product and technology roadmap.
- Prioritize opportunities based on customer impact, differentiation, feasibility, and ROI.
- Present recommendations and business cases to executive leadership.
Cross-Functional Leadership
- Partner with architecture, engineering, sales, business development, and executive teams to guide product development and commercialization.
Competitive & Strategic Analysis
- Track competitors, emerging technologies, and market gaps.
- Evaluate partnership, investment, licensing, and acquisition opportunities.
- Support strategic diligence and maintain a technology watchlist.
Qualifications
- Bachelor's degree in Engineering, Computer Science, or related field; MBA or advanced degree preferred.
- 10+ years in semiconductors, AI infrastructure, data centers, computing systems, product management, or product strategy.
- Experience working with hyperscalers, cloud providers, OEMs, enterprise infrastructure customers, or semiconductor companies.
- Strong understanding of AI infrastructure and data center architectures.
- Proven ability to translate customer needs into successful products.
- Strong communication, analytical, and cross-functional leadership skills.
Preferred Experience
- AI/ML infrastructure, LLMs, generative AI, GPUs, AI accelerators
- HBM, DDR, CXL, PCIe/UCIe, memory pooling/disaggregation
- AI networking, storage, KV-cache infrastructure, PIM/near-memory computing
- AI inference optimization, edge AI, data center architecture
- Technology strategy, strategic partnerships, venture investing, or M&A
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Benefits
- Vacation/PTO
- Medical
- Dental
- Vision
- Equity
- 401k w/ match
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at ****** to make arrangements.
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