Technical Product Manager - Storage - remote job

Nebius is hiring a Technical Product Manager - Storage - a lead role, which means responsibility for a team or a direction. The role sits in IT and programming and is fully remote. The company hires candidates based in Europe.

The employer did not publish a figure; that is settled at interview. The advert sets no condition on working hours.

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About Nebius

Nebius is ushering in a new epoch for cloud infrastructure in the global AI economy. Our mission is to develop a comprehensive AI cloud platform that supports developers and enterprises from data and model training to production deployment, all while avoiding the high costs and complexities of in-house AI/ML infrastructure.

Engineered by experts for experts, our platform encompasses large-scale GPU orchestration, inference optimization, and a wide array of technical challenges spanning compute, storage, networking, and applied AI.

Nebius Overview

Located on the Nasdaq (NBIS) and headquartered in Amsterdam, we have a global presence with R&D centers in Europe, the UK, North America, and Israel. Our team comprises over 1,500 individuals, including hundreds of engineers with extensive expertise in hardware, software, and AI R&D.

The Role

Nebius is seeking a highly technical Product Manager for Storage to join our team. In this position, the candidate will be responsible for defining and prioritizing the storage services within Nebius Cloud, including block storage, file and parallel file systems, object storage, and the underlying storage capabilities for AI/ML and HPC workloads.

Key Responsibilities

- Manage and own the product backlog for storage service teams (block, file, parallel/HPC, and object storage) - Lead and coordinate company-wide initiatives related to storage, such as data durability, performance, capacity, and cost - Collaborate closely with engineering and architecture teams to specify product requirements, focusing on data paths, consistency models, replication, erasure coding, and performance characteristics - Make informed technical decisions about durability, availability, latency, throughput, and cost, supported by data-driven insights - Work with product marketing and technical pre-sales/post-sales teams on technical publications, market strategies, and customer interactions related to storage - Ensure the delivery of storage services that meet high standards for durability, availability, performance, scalability, and cost efficiency, including storage for AI/ML training and inference and HPC

Requirements

- Extensive experience building storage products in the cloud, specifically in senior engineering, architecture, or technical leadership roles at hyperscalers, cloud providers, storage vendors, or advanced tech companies - Deep knowledge of storage system internals, including block, file, and object storage architectures, distributed storage, replication, erasure coding, consistency, and durability models, and the read/write data path - Practical familiarity with technologies such as NVMe/NVMe-oF, iSCSI, POSIX and parallel file systems (e.g., Lustre, GPFS/Spectrum Scale, BeeGFS), Ceph, S3-compatible object storage, and RDMA-based data paths - Strong quantitative skills to analyze IOPS, throughput, latency (including tail latency), and cost per usable TB, and to interpret benchmarks - Proficiency in at least two of the following areas: - Block storage and virtualization (volumes, snapshots, replication, NVMe-oF) - File and parallel file systems for HPC/AI (Lustre, GPFS, BeeGFS, NFS) - Distributed storage internals (replication, erasure coding, consistency, repair) - Storage performance engineering and benchmarking - Object storage at scale (S3-compatible APIs, metadata, multipart, lifecycle) - Proven track record of delivering complex technical initiatives involving multiple teams or stakeholders - Technical leadership experience is a significant plus

Nice to Have

- Experience with storage for AI/ML training pipelines and large-scale HPC (checkpointing, data loading at scale, high-throughput sequential and random access patterns) - Experience in creating technical documentation, guides, tutorials, or reference architectures for storage products

Ideal Candidate

The ideal candidate will have a strong technical background in cloud or cloud storage products at hyperscalers (AWS, GCP, Azure), other public cloud providers, storage vendors, their partners, or highly digitalized enterprises. They should have hands-on experience building cloud storage services, distributed storage systems, or high-performance storage for ML and HPC. Experience in technical product or platform ownership or technical leadership is highly valued, even if the candidate has not held a formal manager title. Relevant experience in ML and HPC environments is strongly desired.

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, Nebius AI offers high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, we provide a variety of NVIDIA GPUs for training and inference, along with tools for efficient multi-node training.

Our data center in Finland, built by the company’s R&D team, is dedicated to sustainability. ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023), resides there.

Headquartered in Amsterdam, Netherlands, with teams working in R&D hubs across Europe and the Middle East, Nebius AI is built by over 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all layers of the Nebius AI cloud—hardware to UI—to be built in-house, setting us apart from specialized clouds. Nebius customers enjoy a true hyperscaler-cloud experience tailored for AI practitioners. We are continuously growing and expanding our products.

If you are eager for a challenge and share our passion for AI and ML, consider joining us!

Benefits & Perks

- Competitive compensation - Opportunities for career growth and learning - Flexibility and ownership - A collaborative and innovative culture - The chance to work on impactful AI projects - An international environment with talented teams

What's It Like to Work at Nebius

- Fast-moving and bold thinking - Continuous growth and meaningful impact - Trust and real ownership - The opportunity to shape the future of AI