---
title: 'Technical Product Manager – Storage at Nebius'
canonical: 'https://feeny.ai/job/technical-product-manager-storage-nebius-amsterdam-zk1h86sehsc3'
type: 'job'
last_seen: '2026-11-07'
---

# Technical Product Manager – Storage at Nebius

- **Company:** Nebius
- **Location:** Amsterdam, Netherlands / Europe
- **Work type:** remote
- **Posted:** 2026-07-02
- **Last confirmed live:** 2026-11-07
- **Apply:** https://careers.nebius.com/?gh_jid=4907634101

## Job description

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

## 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! Benefits & Perks:

- 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

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

## About Nebius

## Company Overview
- **One-liner**: Nebius builds a full-stack AI cloud platform providing GPU-accelerated infrastructure and services for training, fine-tuning, and deploying AI models at scale.
- **Entity Type**: Public (ticker: NBIS on Nasdaq)
- **Headquarters**: Amsterdam, Netherlands
- **Founded**: 2024 (as Nebius Group N.V., the successor to the former Yandex N.V.)
- **Founders**: Arkady Volozh (founder of Yandex)

## Core Business
- **Primary industry**: AI Cloud Infrastructure & Services (Technology, Information and Internet)
- **Target customers**: AI innovators of all sizes — from startups to research institutes to enterprises — across sectors including healthcare, life sciences, robotics, finance, and entertainment, as well as national AI programs.
- **Mission or purpose statement**: To become one of the world's largest AI infrastructure companies, building the infrastructure for the age of AI.

## Products & Services
- **Nebius AI Cloud**: A full-stack cloud platform offering raw GPU compute, serverless and managed inference, and MLOps tooling. Built on custom hardware with non-virtualized GPUs and InfiniBand networking, designed for high performance and reliability.
- **Nebius Token Factory**: A service for running and managing large-scale inference workloads, including serving open-source and custom models.
- **Nebius Echo**: An AI agent built directly into the Nebius console for operational support.
- **Nebius Agents Blueprint**: An open architecture for building production-ready AI agents.
- **Reference Platform NVIDIA Cloud Partner**: A designation for partners operating large clusters built in coordination with NVIDIA, adhering to a tested and optimized reference architecture.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed in the search results; as a public company (NBIS), market cap fluctuates daily.
- **Key Metric**: Total funding raised: **$10.29 billion** (including a $4.3B post-IPO equity round in March 2026, a $2.8B convertible note in September 2025, and a $1.4B post-IPO equity round in May 2011). Notably, a **$27 billion** long-term AI infrastructure supply agreement with Meta was announced in 2026.
- **Notable Investors/Partners**: Meta (long-term infrastructure agreement), NVIDIA (Reference Platform Cloud Partner), Bloom Energy (power infrastructure partnership).
- **Growth Signals**: 
    - **Headcount**: 900 employees (+114.9% YoY growth; +8.2% monthly growth).
    - **Active Job Postings**: 145 open roles (Yearly growth: +866.7%).
    - **Key Metrics**: Claims to offer better TCO for fine-tuning and inference vs. AWS; reports a 70% reduction in AI setup pipeline time for a partner (RoboForce); operates with a mean time between failures (MTBF) of 56.6 hours for a 3,000-GPU cluster.
    - **New Initiatives**: Launching the "Nebius Early Talent Program" for early-career engineers; announced an AI factory launch team in Lappeenranta, Finland; acquired Tavily and licensed Clarifai's inference IP.

## Competitive Advantages
- **Custom Hardware**: Non-virtualized GPUs with InfiniBand networking, providing raw, dedicated performance without the overhead of virtualization.
- **Full-Stack, Hyperscaler-Like Platform**: Combines the scale and reliability of a hyperscaler with the performance of a supercomputer, including built-in MLOps tooling.
- **NVIDIA Reference Platform Partner**: A trusted partner with a validated, optimized architecture for large-scale AI workloads.
- **Elasticity**: Offers flexible consumption options from small experiments to global-scale deployments.
- **Deep Engineering Talent**: Built around a core of 500+ AI experts and hundreds of engineers with deep expertise in building world-class tech infrastructure (many from Yandex).

## Strategic Focus
- **Massive Infrastructure Build-Out**: Executing on a multi-billion dollar agreement with Meta and expanding data center capacity in Europe and the US.
- **Power & Energy Partnerships**: Partnering with Bloom Energy to secure reliable, on-site power for AI infrastructure.
- **Product Innovation**: Continuously releasing new products (Echo, Agents Blueprint, Token Factory) to capture more of the AI developer workflow.
- **Talent Acquisition**: Aggressively hiring across engineering, sales, and operations to support hypergrowth, with a dedicated Early Talent Program.
- **Ecosystem Expansion**: Targeting specific verticals like healthcare, life sciences, and robotics with dedicated solutions and partnerships.

## Why Work Here
- **High-Impact Work**: Employees solve some of the hardest technical problems in AI, building infrastructure that powers the next generation of technology.
- **Culture**: Described as fast-moving, with a culture of trust and autonomy. New ideas are encouraged, experimentation is welcomed, and ownership is part of everyday work.
- **Work Model**: Remote-friendly work culture built on trust and autonomy, with flexibility designed around time zones and personal commitments.
- **Compensation**: Top-tier pay and benefits.
- **Development**: Clear development paths to take careers forward, with mentorship from industry experts.
- **Team**: A diverse, multicultural team with hubs across Europe, North America, and the Middle East.
- **Notable Perks**: Thoughtful team gatherings, 24/7 support by default, and access to free white-glove proof-of-concepts.

## Sources
1. [Nebius Official Website](https://nebius.com)
2. [Nebius Careers Page](https://nebius.com/careers)
3. [Nebius LinkedIn Page](https://www.linkedin.com/company/nebius)
4. [Nebius Group LinkedIn Page](https://www.linkedin.com/company/nebius-group)

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