Technical Product Manager – Storage

JobsCloseBy Editorial Insights

Nebius is seeking a technical Technical Product Manager, Storage to own the vision and backlog for Nebius Cloud storage to support AI/ML and HPC workloads. This role requires you to reason about data paths, replication and erasure coding, durability, latency and cost, and to coordinate with engineering, architecture and product teams. You should have hands-on cloud storage product experience and strong storage systems knowledge, with familiarity across NVMe, iSCSI, POSIX, Lustre/GPFS, Ceph, S3 APIs and RDMA. PM experience is not required but willingness to learn is essential; hyperscaler or storage vendor background is valued. To apply, highlight measurable storage impact, data-path design, and cross-functional delivery, then tailor your CV to storage leadership.

The Role

Nebius is looking for a deeply technical Technical Product Manager – Storage to join the team. In this role, the candidate will own the vision, roadmap, and priorities for storage services in Nebius Cloud, including block storage, file and parallel file systems, object storage, and the storage capabilities that underpin AI/ML and HPC workloads.

The candidate will be responsible for shaping and managing backlogs for storage service teams and leading company-wide initiatives related to storage. This is a hands-on, technically demanding role: the candidate is expected to reason about storage internals, data paths, and performance trade-offs directly with engineers. It requires strong technical depth combined with the ability to coordinate across engineering, development, product, technical support, and go-to-market teams.

Responsibilities

• Own and manage the product backlog for storage service teams (block, file, parallel/HPC, and object storage)
• Lead and coordinate cross-company initiatives involving storage, including data durability, performance, capacity, and cost initiatives
• Work closely with engineering and architecture teams to define product requirements at the level of data paths, consistency models, replication and erasure coding, and performance characteristics, and deliver new storage features
• Make informed technical trade-offs on durability, availability, latency, throughput, and cost, and defend them with data
• Partner with product marketing and technical pre-sales/post-sales teams on technical publications, go-to-market activities, customer engagement, acquisition, and retention 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

• Hands-on experience building storage products in the cloud is the single most important requirement: the candidate must have designed, built, or operated cloud storage services (not just used or integrated them), in senior engineering, architecture, or technical leadership roles at hyperscalers, cloud providers, storage vendors, or other advanced technology companies
• Deep understanding of storage systems internals: block, file, and object storage architectures, distributed storage, replication and erasure coding, consistency and durability models, and the read/write data path
• Hands-on familiarity with technologies and interfaces 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
• Ability to reason quantitatively about IOPS, throughput, latency (including tail latency), and cost per usable TB, and to read and interpret benchmarks
• Strong technical expertise 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 requiring coordination across multiple teams or stakeholders
• Technical leadership experience is a strong plus
• Product management experience is not required, but a strong willingness to learn and grow into the role is essential

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 creating technical documentation, guides, tutorials, or reference architectures for storage products

Ideal Candidate

The ideal candidate is a technically strong professional with a background in cloud or cloud storage products at hyperscalers (AWS, GCP, Azure), other public cloud providers, storage vendors, their partners, or highly digitalized enterprises.

The candidate may come from a background in storage engineering, distributed systems, architecture, SRE, or technical leadership, with 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 desirable given the storage demands of these workloads, though the candidate is expected to adapt quickly and learn new domains.

About Nebius

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

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

If you’re up to the challenge and are excited about AI and ML as much as we are, join us!