Partner Alliance Program Specialist - 2284

Originally posted 30 October 2026 by the employer.

About the role

KIOXIA America is seeking a Partner Alliance Program Specialist to develop and grow SSD business within the SSD ecosystem development segment, directly reporting into the SSD Business Unit. The role encompasses ecosystem strategy across hardware partners such as CPUs and PCIe peripherals, as well as software vendors spanning operating systems, storage drivers, virtualization software, and software-defined storage.

What you'll do

• Serve as the primary point of contact for ecosystem strategy, leading the development, expansion, and management of strategic partnerships.
• Partner cross-functionally with Product, Engineering, Sales, and Technical Support teams to drive SSD sampling programs, AVL qualification, and interoperability testing.
• Plan and execute joint workshops, plug-fests, and validation events with ecosystem partners, hyperscalers, and OEMs.
• Align technology roadmaps and reference architectures while supporting customer engagements with ecosystem-backed solutions and joint value propositions.
• Identify, prioritize, and onboard new strategic partners to expand footprint across AI, hyperscale, and enterprise markets.
• Track KPIs for ecosystem success, including design wins, qualifications, joint solutions, and revenue influence, while coordinating joint messaging and co-marketing initiatives.

What you'll need

• 7+ years of experience in ecosystem development, partnerships, or program management within the semiconductor, storage, or broader data center technology industry.
• Bachelor’s degree in Engineering, Computer Science, Business, or a related field.
• Solid understanding of Enterprise, Data Center, and Client SSD architectures, including NVMe, PCIe Gen4/5/6, and EDSFF form factors.
• Knowledge of storage systems and infrastructure, including RAID, distributed storage, and hyperscale architectures.
• Working knowledge of software-defined storage, virtualization, and operating systems such as Linux, Kubernetes, and VMware.
• Familiarity with AI/ML infrastructure trends (GPU-based systems, storage tiering, data pipelines), interoperability bodies (NVMe, OCP, SNIA), and AVL qualification processes.

Nice to have

• MBA or Master’s degree.