Enterprise Account Manager – AI, HPC, Edge & Storage

About the role

ASUS is looking for a high‑calibre professional to lead both country product management and enterprise account management for its AI Server, HPC, Edge Computing and Storage portfolio in Israel. The role combines strategic market positioning with hands‑on responsibility for closing enterprise and public‑sector deals.

Key responsibilities

• Define and execute the local go‑to‑market strategy for AI Server, HPC, Edge and Storage product lines, including positioning, pricing and partner tier selection.
• Serve as the primary liaison between ASUS headquarters/EEMEA and the Israeli market, translating global roadmaps into local actions.
• Enable and train channel partners on product portfolio, competitive positioning and sales tools.
• Collaborate with NVIDIA Partner Network, cloud service providers and Tier‑1 system integrators to generate co‑sell opportunities.
• Develop and manage key enterprise, R&D and public‑sector accounts, identifying AI, HPC and data‑intensive workload opportunities.
• Partner with pre‑sales teams to design proposals covering compute, GPU architectures and storage, ensuring technical validation.
• Build and maintain a healthy pipeline, drive deal progression and close complex sales cycles involving technical, procurement and business stakeholders.
• Lead or support government and public‑sector tender responses in coordination with partners and pre‑sales.

Required profile

• Proven track record of achieving sales quotas in enterprise IT hardware infrastructure (servers, storage or GPU‑based solutions).
• Hands‑on experience selling physical server, storage or GPU hardware to enterprise and public‑sector customers.
• Ability to own the full sales cycle from opportunity identification to contract closure.
• Strong understanding of AI training/inference, high‑performance computing and edge computing workloads.
• Experience working with channel partners, system integrators and cloud providers.

Required skills

• AI Server solutions
• High‑Performance Computing (HPC)
• Edge Computing platforms
• Storage infrastructure
• GPU hardware architectures