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Nebius Token FactoryPosted 1 month ago

Technical Product Manager – Storage

RemoteAmsterdam, North Holland, The Netherlands

Full TimeLarge

Job Summary

Own and manage the product backlog for storage service teams covering block, file, parallel/HPC, and object storage. Lead cross-company initiatives on data durability, performance, capacity, and cost while defining product requirements at the data path and consistency model level. Make informed technical trade-offs on durability, availability, latency, throughput, and cost, defending decisions with data. Partner with engineering, marketing, and pre-sales teams on go-to-market activities and customer engagement for storage services supporting AI/ML, HPC, and production workloads. Ensure delivery of services meeting high standards for scalability and cost efficiency.

Required Qualifications

  • Hands-on experience building storage products in the cloud
  • Designed, built, or operated cloud storage services
  • 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
  • Read/write data path
  • Hands-on familiarity with NVMe/NVMe-oF
  • iSCSI
  • POSIX
  • Parallel file systems (e.g., Lustre, GPFS/Spectrum Scale, BeeGFS)
  • Ceph
  • S3-compatible object storage
  • RDMA-based data paths
  • Ability to reason quantitatively about IOPS, throughput, latency (including tail latency), and cost per usable TB
  • Ability 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
  • Strong willingness to learn and grow into the role
  • Background in cloud or cloud storage products at hyperscalers (AWS, GCP, Azure), other public cloud providers, storage vendors, their partners, or highly digitalized enterprises
  • 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
  • Relevant experience in ML and HPC environments
  • Must be authorized to work in the country in which they apply
  • Will be required to provide proof of employment eligibility as a condition of hire

Desired Qualifications

  • Technical leadership experience
  • Product management experience
  • 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
  • Background in storage engineering, distributed systems, architecture, SRE, or technical leadership
  • Experience in technical product or platform ownership or technical leadership (even if candidate has not held a formal manager title)
  • Highly valued experience in technical product or platform ownership or technical leadership

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