Rebellions

Enterprise Sales Manager (AI Infrastructure)

In short

This role leads the full domestic enterprise sales cycle for AI infrastructure, from lead generation through proof of concept to contract execution, with a focus on GPU/NPU, data-center, and cloud solutions. The company is an AI infrastructure product business targeting public-sector and enterprise customers, including hyperscalers and government AI programs. It requires 7+ years of domestic enterprise B2B sales experience and a strong understanding of AI/ML workloads and accelerator hardware.

About the Role
You will lead the end-to-end domestic sales cycle from lead generation through proof of concept and contract execution. You will build and maintain relationships with public-sector and enterprise customers, deliver solution-based sales aligned with AI use cases and infrastructure needs, expand partnerships, and provide market insights to support product and go-to-market strategy.
Requirements
•7+ years of domestic enterprise B2B sales experience
•Experience selling GPU/NPU, servers, or data-center infrastructure
•Ability to close complex large domestic deals and maintain a relevant network
•Understanding of AI/ML workloads, cloud, or enterprise IT infrastructure
•Bachelor's degree in computer science, engineering, business administration, or a related field
•Experience at a domestic startup or growth-stage technology company
•Experience with AI inference, LLM deployment, or accelerator hardware such as GPU/NPU
•Network among domestic hyperscalers, cloud providers, or government AI program contacts
Responsibilities
•Lead the full sales cycle from lead generation through proof of concept and contract execution to drive domestic revenue growth
•Build and maintain relationships with public-sector institutions and major enterprise customers
•Lead solution-based sales aligned with customers' AI use cases and infrastructure needs
•Expand domestic partnerships with system integrators, cloud providers, and government AI programs
•Provide market insights on domestic AI and data-center trends to support product and go-to-market strategy
Hiring Process
Application screening → online interview → onsite interview → culture-fit interview → compensation discussion → final offer

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