Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата не указанаСильная компанияЧеткая рольФокус на ИИ
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Regional Sales Manager (N) (AI Infrastructure): Developing enterprise business and expanding customer adoption of AI-era data management infrastructure across South Korea with an accent on direct enterprise selling, channel development, and customer success. Focus on penetrating large accounts, managing complex sales cycles, building reseller and integrator relationships, and presenting storage solutions including NFS and object storage.
Location: South Korea
Company
hirify.global develops enterprise data management infrastructure for AI, including software for capturing, cataloging, refining, enriching, protecting, and analyzing massive datasets.
What you will do
Develop business across enterprise customers and generate revenue from the hirify.global offering.
Manage sales processes around customer buying cycles, from initial meeting through optional proof of concept and post-sale expansion.
Prospect within large accounts, reach decision-makers, and close business.
Develop and present proposals that connect VAST solutions to customer business objectives.
Build and manage relationships with systems resellers, integrators, and channel partners.
Requirements
At least 7 years of direct enterprise sales experience.
Consistent success exceeding quota and generating referenceable business with large enterprise customers.
Experience developing sales regions from the ground up with limited resources.
Knowledge of storage technologies and enterprise computing architectures, including NFS and object storage.
Ability to communicate with customers and partners at both business and technical levels.
Proficiency with Salesforce.com and Microsoft Office.
Culture & Benefits
Full-time role within a fast-paced, innovation-focused infrastructure company.
Customer-first environment focused on measurable market impact.
Opportunity to work with AI infrastructure and enterprise data management technologies.
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