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5 дней назад

Product Manager (AI Infrastructure)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Manager (AI Infrastructure) (AI, Distributed Systems, High-Performance Storage): Defining and executing product strategy for infrastructure that supports large-scale AI workloads with an accent on GPU efficiency, performance, scalability, and hardware-aware systems. Focus on translating complex storage, networking, and distributed-systems challenges into product decisions and high-performance platform capabilities.

Location: Tel Aviv, Israel

Company

hirify.global develops a high-performance enterprise data platform for large-scale AI workloads, including model training and real-time inference.

What you will do

  • Define and execute product strategy for the platform and infrastructure layer.
  • Own the roadmap while balancing innovation, performance, scalability, and customer needs.
  • Work with engineering to design and deliver high-performance capabilities.
  • Translate complex technical challenges into clear product decisions and priorities.
  • Partner with customers and internal teams to understand real-world use cases and constraints.
  • Collaborate with engineers and architects on storage, networking, and distributed-systems challenges.

Requirements

  • Product management experience in infrastructure, platform, or deep-tech domains, or experience transitioning from software engineering, architecture, or sales engineering into product.
  • Experience with storage systems such as NVMe, SSDs, or RAID.
  • Experience with networking, high-performance protocols, or distributed systems and infrastructure platforms.
  • Ability to work closely with engineering on complex technical challenges.
  • Strong communication skills for bridging technical and non-technical stakeholders.
  • Experience driving product decisions in fast-paced environments.

Nice to have

  • Familiarity with RDMA, InfiniBand, RoCE, GPUDirect Storage, or kernel-bypass networking.
  • Understanding of latency, throughput, and IOPS optimization.
  • Experience with large-scale data or AI infrastructure.

Culture & Benefits

  • Work on deep-tech products at the intersection of AI, distributed systems, storage, networking, and hardware-aware infrastructure.
  • Influence AI performance and GPU efficiency at scale.
  • Collaborate with engineers, architects, customers, and research organizations on complex data challenges.
  • Join a pre-IPO, growth-stage company operating on a hyper-growth trajectory.

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