Technical Product Manager – Storage

About the role

Nebius is seeking a deeply technical Product Manager to own the vision, roadmap, and priorities for storage services within their cloud platform. This role involves managing backlogs for block, file, and object storage while collaborating with engineering teams to define technical requirements and performance trade-offs. The successful candidate will drive initiatives related to data durability, capacity, and cost efficiency to support AI/ML and HPC workloads.

Responsibilities

• Own and manage the product backlog for storage service teams including block, file, parallel/HPC, and object storage.
• Lead and coordinate cross-company initiatives involving data durability, performance, capacity, and cost.
• Define product requirements at the level of data paths, consistency models, replication, erasure coding, and performance characteristics.
• Make informed technical trade-offs on durability, availability, latency, throughput, and cost.
• Partner with product marketing and technical sales teams on technical publications, go-to-market activities, and customer engagement.
• Ensure the delivery of storage services that meet high standards for durability, availability, performance, scalability, and cost efficiency.

Required skills

• Cloud storage
• Distributed storage
• Block storage
• File storage
• Object storage
• NVMe
• iSCSI
• POSIX
• Lustre
• GPFS
• BeeGFS
• Ceph
• S3
• RDMA

Nice to have

• AI/ML training pipelines
• HPC
• Technical documentation

Qualifications

• Hands-on experience building or operating cloud storage services in senior engineering, architecture, or technical leadership roles

Benefits

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture

About the Company

Nebius is an AI cloud platform providing high-end, training-optimized infrastructure for the global AI economy. Headquartered in Amsterdam, the company owns a data center in Finland and employs over 500 engineers focused on developing sophisticated cloud and ML solutions.