Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная senior-роль в быстрорастущей продуктовой компании в сфере AI-инфраструктуры даёт опыт работы с архитектурой enterprise-решений и AI-нагрузками, но фокус здесь на технических продажах, а не на разработке.
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Фокус на продажахAI-инфраструктураСовременные технологииБыстрый рост
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Systems Engineer - West Coast (AI infrastructure/data platforms): Designing and deploying next-generation data platforms for AI, analytics, cloud, HPC, virtualization, and enterprise workloads with an accent on solution architecture, technical evaluations, and customer-facing technical sales. Focus on translating complex business and technical requirements into VAST-based architectures, delivering proof-of-concept engagements, and advising executive and engineering stakeholders.
Location: California, US
Company
hirify.global develops an AI Operating System that unifies storage, databases, messaging, and AI data services for AI factories, enterprise AI applications, analytics, and cloud-scale infrastructure.
What you will do
Lead the technical sales process from discovery through deployment planning.
Build trusted relationships with customer executives, architects, and engineering teams.
Design and present solutions for AI, analytics, cloud, HPC, virtualization, and enterprise workloads.
Deliver product demonstrations, workshops, and proof-of-concept engagements.
Translate customer business and technical requirements into VAST-based architectures.
Partner with Product, Engineering, Customer Success, and Sales leadership, and represent VAST at customer meetings, industry events, and executive briefings.
Requirements
7+ years of experience in Systems Engineering, Solutions Architecture, Sales Engineering, or a similar customer-facing technical role.
Experience supporting enterprise and strategic accounts through complex sales cycles.
Strong understanding of modern infrastructure, including data storage, cloud, Kubernetes, AI/ML, virtualization, networking, and data platforms.
Excellent communication, presentation, and customer engagement skills, with the ability to influence technical and executive stakeholders.
Ability to architect solutions, lead technical evaluations, and drive successful customer outcomes.
Culture & Benefits
Customer-facing collaboration with Product, Engineering, Customer Success, and Sales leadership.
Participation in customer meetings, industry events, and executive briefings.
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