Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Systems Engineer (AI): Assisting customers with evaluations, benchmarks, system configurations, and installations, focusing on defining product requirements and usability. Focus on technical leadership and subject matter expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces.
Location: East Coast, United States
Company
hirify.global develops enterprise data management infrastructure for AI training, inference, real-time analytics, and large-scale data protection across data centers, edge environments, and cloud.
What you will do
Support customer evaluations, benchmarks, system configurations, and installations.
Collaborate with R&D Engineering to define product requirements, usability improvements, and product specifications.
Develop sales strategies and take ownership of technical responsibilities within major customer accounts.
Provide technical leadership on storage products, distributed storage architectures, file systems, and competing DAS, NAS, and SAN solutions.
Create repeatable architecture blueprints for customer-facing sales solutions.
Help develop a distributed group of systems and field engineers and advise on building and managing a support organization.
Requirements
5+ years of experience supporting enterprise storage sales to large IT organizations.
Experience with unstructured data applications, next-generation analytics, and web frameworks.
Ability to prepare and deliver technical product and architecture presentations to customers and trainees.
Knowledge of virtualization, high-performance networking, and enterprise security.
Excellent verbal and written communication skills.
Positive energy, optimism, vision, and the ability to work effectively in an unstructured environment.
Culture & Benefits
Customer-first environment focused on intense innovation and measurable market impact.
Opportunity to contribute to AI infrastructure and large-scale data management products.
Collaboration across sales, R&D Engineering, systems engineering, field engineering, and support.
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