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Technical Product Manager - Soperator
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  5. Technical Product Manager - Soperator

Nebius·Amsterdam, Netherlands; Berlin, Germany; France; Netherlands; Prague, Czech Republic; Remote - Europe·16 дек.

Technical Product Manager - Soperator

≈ от 200 000 ₽наша оценка по вакансиям этой роли и грейда, у работодателя вилка не указана
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Наша компания

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. 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.

Чем предстоит заниматься

At Nebius, we’re building a next-generation AI compute platform for large-scale ML training and inference — from a few nodes to thousands of GPUs
We’re looking for a Technical Product Manager to own product direction for Soperator — our Slurm-on-Kubernetes control plane for GPU clusters
In this role, you will shape how ML engineers and research teams run, scale, and optimize distributed workloads in production
If you care about systems that combine performance, reliability, and developer experience at the frontier of AI infrastructure, this role is for you
Own the full user journey across Soperator clusters: Slurm workflows, dashboards, alerts/notifications, node lifecycle, and training/inference capacity management
Define product direction end-to-end: problem discovery → solution design → delivery → adoption
Lead deep customer discovery through interviews, usage analytics, and workload analysis to uncover high-impact opportunities
Drive execution across platform teams: compute, networking, storage, observability, IAM and etc
Translate frontier ML and infrastructure ideas into practical product capabilities for real-world GPU clusters
Define success metrics, prioritize roadmap decisions with data, and ensure measurable customer/business impact
Lead the open-source strategy and execution for Soperator: shape public roadmap themes, prioritize OSS-facing capabilities, and ensure strong adoption in the community

Наши требования

3–5+ years in Product Management, ML infrastructure/MLOps, distributed systems, or cloud platform engineering
Strong technical depth in distributed systems, cloud infrastructure, or ML platforms
Hands-on familiarity with large-scale ML training and orchestration tools (e.g., Slurm, Kubernetes, Ray)
Track record of shipping technically complex products with multiple engineering teams
Strong communication and stakeholder management across engineering, research, and customers
Experience with product analytics, data-informed prioritization, and experimentation
High ownership, high learning velocity, and comfort operating in fast-moving AI infrastructure environments
Experience with GPU platforms and HPC primitives: InfiniBand/RDMA, topology-aware scheduling, high-throughput storage
Practical understanding of modern ML training stacks: PyTorch, DeepSpeed, FSDP/ZeRO, NCCL
Familiarity with efficiency and reliability metrics: Goodput, MFU, failure modes, preemption handling, health checks
Exposure to large-scale LLM training/inference systems
Experience in observability, performance tuning, or SRE/reliability engineering
Customer-facing technical experience (solutioning, support, architecture advisory)

Мы предлагаем

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

Дополнительно

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
N
Nebius
Amsterdam, Netherlands; Berlin, Germany; France; Netherlands; Prague, Czech Republic; Remote - Europe

ГрейдMiddle
ЗанятостьПолная занятость
РегионГермания
ФорматУдалённо
ИсточникСкрыто
Опубликовано16 дек.
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