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Nebius is seeking a deeply technical Technical Product Manager for Storage to own the vision, roadmap, and priorities for storage services in Nebius Cloud, covering block, file, parallel file systems, and object storage that power AI/ML and HPC workloads.
This hands‑on, technically demanding role requires coordinating across engineering, architecture, product, and go‑to‑market teams to deliver durable, high‑performance storage capabilities at scale, while optimizing cost and reliability.
Location & Remote Flexibility: Nebius does not explicitly state this is a fully remote role. The company is headquartered in Amsterdam with R&D hubs across Europe, the UK, North America, and Israel, suggesting a hybrid or hub-based setup is most likely. Candidates "must be authorized to work in the country in which they apply," which limits pure location‑independence — this is not a hire‑anywhere role.
Timezone Considerations: With hubs in Europe, the UK, and Israel, the role likely operates on a CET/EET timezone band (UTC+1 to UTC+3). This suits nomads based in Lisbon (UTC+1), Tallinn (UTC+2), or Tel Aviv (UTC+2) well, but would be challenging from Southeast Asia or the Americas without early/late overlap commitments.
Visa & Work Authorization: Since work authorization in the country of application is mandatory, typical tourist‑visa nomadism is not viable. However, EU/EEA citizens have full freedom of movement. Portugal, the Netherlands, and Germany all offer job seeker or talent visas for non‑EU tech professionals, which could be a pathway to legitimize residence while working for a Nasdaq‑listed tech company.
No travel‑specific perks (coworking stipend, meetup budget) are explicitly mentioned, though the international environment suggests cross‑hub travel may be part of the role.
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
Requirements
Nice to Have
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.
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.
Do I need prior product management experience to apply for this role? No — Nebius explicitly states that product management experience is not required. What matters most is hands‑on experience designing, building, or operating cloud storage services. A strong willingness to learn and grow into the PM role is essential. Is this a fully remote role or does it require being in a specific location? The job posting does not explicitly state it is fully remote. Nebius has R&D hubs across Europe, the UK, North America, and Israel, suggesting a hybrid or hub‑based arrangement. Applicants must be authorized to work in the country in which they apply. What type of storage expertise is most important for this position? The single most important requirement is hands‑on experience building cloud storage products — having designed, built, or operated cloud storage services at a hyperscaler, cloud provider, or storage vendor. Deep knowledge of storage internals (block, file, object, distributed systems) is also critical. What is the compensation range for this role? Nebius describes the compensation as "competitive" but does not provide a specific salary range in the job posting. Candidates are encouraged to discuss compensation during the interview process. Is experience with AI/ML and HPC storage workloads required? It is strongly desirable but not strictly required. Nebius lists AI/ML training pipeline and HPC storage experience (checkpointing, data loading at scale) as a "nice to have," and notes that candidates are expected to adapt quickly and learn new domains.
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