Director / VP, AI Infrastructure Product Strategy

CyberCoders, Inc.; San Jose (CA); Sur place; USD 275 000 - 325 000; Plein temps

Avantages offerts par ce poste

Vacation/PTO

Medical

Dental

Vision

Equity

401k w/ match

Résumé du poste

CyberCoders, Inc. seeks a Director/VP of AI Infrastructure Product Strategy in the San Jose or Irvine area. You will lead the identification of strategic AI infrastructure opportunities, translate them into product concepts, and own the technology roadmap.

Collaborative cross-functional leadership will be key as you shape the portfolio for hyperscalers, data centers, and OEMs. Ideal candidates have 10+ years in semiconductors, AI infrastructure, or product strategy, with strong market insight

Qualifications

• Bachelor's degree in Engineering, Computer Science, or related field.
• MBA or advanced degree preferred.

Responsabilités

• 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.
• 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.
• Translate customer needs and technology trends into product opportunities and roadmaps.
• Define product concepts, value propositions, target customers, and use cases.
• Assess technical feasibility, market potential, and strategic fit.
• Develop customer-backed product requirements and specifications.
• Quantify business and technical value.
• Validate concepts with prospective customers before major R&D investment.
• 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.
• Partner with architecture, engineering, sales, business development, and executive teams to guide product development and commercialization.
• Track competitors, emerging technologies, and market gaps.
• Evaluate partnership, investment, licensing, and acquisition opportunities.
• Support strategic diligence and maintain a technology watchlist.

Connaissances

AI Infrastructure

Product Strategy

Technical Product Marketing

Hyperscalers

Data Center Architecture

AI Accelerators / GPU Systems

Memory Systems

Technology Roadmap

Formation

Bachelor's degree in Engineering, Computer Science, or related field

MBA or advanced degree preferred

Description du poste

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

Benefits

• Vacation/PTO
• Medical
• Dental
• Vision
• Equity
• 401k w/ match