5 дней назад
Product Manager (AI Infrastructure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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