Technical Product Manager – Storage

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏢 Enterprise

☁️ SaaS

AI • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• 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

🏖️ Benefits

• Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams