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20 часов назад

Cloud Marketing Manager (AI Infrastructure)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Taiwan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Cloud Marketing Manager (AI Infrastructure): Developing ecosystem integration and partner enablement strategies for AI infrastructure, cloud-native platforms, storage architectures, and software ecosystems with an accent on reference architectures, open-source integration, and scalable deployment models. Focus on embedding storage technologies into partner platforms, enabling Kubernetes and distributed-system deployments, and aligning architecture, engineering, product, and partner organizations.

Location: Taipei, Taiwan. Travel: None.

Company

hirify.global develops data storage and infrastructure solutions for customers operating at exabyte scale, with a focus on AI-driven data environments.

What you will do

  • Develop and execute ecosystem integration strategies across AI Infrastructure, Neo Cloud, Sovereign Cloud, Enterprise AI, and Physical AI markets.
  • Translate ecosystem requirements into technical priorities and enablement initiatives with architecture and product teams.
  • Embed Seagate technologies into partner infrastructure platforms, software stacks, operational frameworks, and customer deployment models.
  • Lead partner onboarding through integration guides, deployment frameworks, readiness programs, and technical enablement materials.
  • Drive participation in open-source projects and integrations involving software-defined storage, object storage, orchestration, monitoring, and management platforms.
  • Collaborate with architecture, engineering, product, sales, and ecosystem partners to deploy repeatable reference architectures and influence future product roadmaps.

Requirements

  • 10+ years of experience in solutions engineering, infrastructure engineering, partner engineering, software integration, ecosystem development, or related technical roles.
  • Strong understanding of AI infrastructure, distributed systems, cloud-native platforms, storage architectures, and software ecosystems.
  • Experience with technology partners, developers, open-source communities, infrastructure platforms, software integrations, or ecosystem adoption programs.
  • Strong communication, stakeholder management, relationship-building, and cross-functional collaboration skills.
  • Bachelor’s degree in Engineering, Computer Science, Information Systems, or a related field, or equivalent practical experience.

Nice to have

  • Experience with object storage, software-defined storage, data management platforms, Kubernetes, automation, and orchestration frameworks.
  • Background in AI infrastructure, GPU environments, distributed computing, accelerated infrastructure, DPU, SmartNIC, or networking technologies.
  • Experience working with OEMs, cloud providers, system integrators, technical alliances, or software ecosystem partners.

Culture & Benefits

  • Cross-functional work spanning architecture, engineering, product management, product marketing, business development, sales, and ecosystem partners.
  • Technical advisory responsibilities across partner workshops, architecture reviews, customer engagements, and enablement activities.
  • No travel is required for the role.

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