Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко объединяет старшую инженерную работу с корпоративными клиентами и AI-инфраструктуру, с заметным влиянием на стратегию продаж и развитие продукта; формат стартапа добавляет неопределенности.
Риски стартапа
Современный стек
Перспективный домен
Влияние на продукт
Гибкие условия
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Solutions Engineer (AI Infrastructure): Leading technical strategy for complex enterprise opportunities and building business value assessments for Kubernetes virtualization and AI infrastructure with an accent on compliance, security, multi-tenancy, and measurable customer outcomes. Focus on designing consultative solutions, applying AI and LLM workflows to technical discovery, and translating enterprise requirements into scalable product improvements.
Location: United Arab Emirates; remote
Company
hirify.global is a venture-backed startup building AI infrastructure platforms for AI cloud providers and AI factories. Its platform manages GPU infrastructure, Kubernetes, Slurm, Ray, and inference clusters, and the company develops hirify.global, an open-source technology for tenant isolation on Kubernetes.
What you will do
Lead the technical strategy and Technical Win for complex, multi-stakeholder enterprise opportunities in partnership with Account Executives.
Develop tailored technical narratives addressing compliance, security, and operational requirements in regulated industries.
Build Business Value Assessments linking infrastructure consolidation to cost savings, risk reduction, and developer velocity.
Use AI-native workflows and LLMs to document discovery, analyze requirements, develop architecture diagrams, and accelerate go-to-market delivery with human review.
Mentor Associate and Intermediate Solutions Engineers and improve qualification frameworks and proof-of-value templates.
Represent customer requirements to Product and Engineering and influence the product roadmap.
Requirements
At least 6 years of experience in pre-sales or solutions engineering, positioning complex infrastructure or platform solutions to enterprise buyers.
At least 3 years of hands-on experience in the Kubernetes ecosystem, including knowledge of control planes, namespaces, and Cluster API.
Ability to explain trade-offs between legacy multi-tenancy and virtualization.
Open-minded, data-driven, consultative approach to selling rather than spray-and-pray demonstrations.
Strategic ability to anticipate market trends and identify entry points within Fortune 2000 companies.
CKA or CKAD certification and active participation in the CNCF community or open-source ecosystem.
Deep experience with technical challenges in Financial Services, Healthcare, or Public Sector environments.
Comfort with automation, AI-driven discovery, and modern technical sales methods.
Nice to have
Experience with AI infrastructure, GPU-intensive workloads, managed Kubernetes, Slurm, Ray, or inference clusters.
Experience contributing to or maintaining open-source projects.
Culture & Benefits
Remote-first culture with workplace flexibility and a flexible working schedule focused on results.
Health, dental, vision, and life insurance for eligible employees and dependents, with benefits varying by country.
Competitive compensation package with equity and commission eligibility.
Values include ownership, measurable impact, open-source contribution, meritocracy, and intentional technical innovation.
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