Technical Product Manager - Soperator

ph3About the company /h3 /brpthe company 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. /p /brpBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. /p /brpListed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with RD 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 RD. /p /brpthe company AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the the company AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, the company AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. /p /brpthe company AI owns a data center in Finland, built from the ground up by the company’s RD 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). /p /brpthe company’s headquarters are in Amsterdam, Netherlands, with teams working out of RD hubs across Europe and the Middle East. /p /brpthe company 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 the company AI cloud – from hardware to UI – to be built in house, distictly differentiating the company AI from the majority of specialized clouds: the company customers get a true hyperscaler‑cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. /p /brh3The role /h3 /brpAt the company, we’re building a next-generation AI compute platform for large-scale ML training and inference — from a few nodes to thousands of GPUs.br/We’re looking for a bTechnical Product Manager /b to own product direction for bSoperator /b — our Slurm-on-Kubernetes control plane for GPU clusters.br/In this role, you will shape how ML engineers and research teams run, scale, and optimize distributed workloads in production.br/If you care about systems that combine bperformance, reliability, and developer experience /b at the frontier of AI infrastructure, this role is for you. /p /brh3Your responsibilities will include: /h3 /brul /brliOwn the full user journey across Soperator clusters: Slurm workflows, dashboards, alerts/notifications, node lifecycle, and training/inference capacity management. /li /brliDefine product direction end-to-end: problem discovery → solution design → delivery → adoption. /li /brliLead deep customer discovery through interviews, usage analytics, and workload analysis to uncover high-impact opportunities. /li /brliDrive execution across platform teams: compute, networking, storage, observability, IAM and etc. /li /brliTranslate frontier ML and infrastructure ideas into practical product capabilities for real-world GPU clusters. /li /brliDefine success metrics, prioritize roadmap decisions with data, and ensure measurable customer/business impact. /li /brliLead the open-source strategy and execution for Soperator: shape public roadmap themes, prioritize OSS-facing capabilities, and ensure strong adoption in the community. /li /br /ul /brh3We expect you to have: /h3 /brul /brli3–5+ years in Product Management, ML infrastructure/MLOps, distributed systems, or cloud platform engineering. /li /brliStrong technical depth in distributed systems, cloud infrastructure, or ML platforms. /li /brliHands‑on familiarity with large-scale ML training and orchestration tools (e.g., bSlurm, Kubernetes, Ray /b). /li /brliTrack record of shipping technically complex products with multiple engineering teams. /li /brliStrong communication and stakeholder management across engineering, research, and customers. /li /brliExperience with product analytics, data-informed prioritization, and experimentation. /li /brliHigh ownership, high learning velocity, and comfort operating in fast-moving AI infrastructure environments. /li /br /ul /brh3It will be an added bonus if you have: /h3 /brul /brliExperience with GPU platforms and HPC primitives: bInfiniBand/RDMA, topology‑aware scheduling /b, high-throughput storage. /li /brliPractical understanding of modern ML training stacks: bPyTorch, DeepSpeed, FSDP/ZeRO, NCCL /b. /li /brliFamiliarity with efficiency and reliability metrics: bGoodput, MFU, failure modes, preemption handling, health checks /b. /li /brliExposure to large‑scale LLM training/inference systems. /li /brliExperience in observability, performance tuning, or SRE/reliability engineering. /li /brliCustomer‑facing technical experience (solutioning, support, architecture advisory). /li /br /ul /brh3Benefits Perks: /h3 /brul /brliCompetitive compensation /li /brliCareer growth and learning opportunities /li /brliFlexibility and ownership /li /brliCollaborative and innovative culture /li /brliOpportunity to work on impactful AI projects /li /brliInternational environment and talented teams /li /br /ul /brh3What's it like to work at the company: /h3 /brpFast moving- Bold thinking- Constant growth- Meaningful impact- Trust and real ownership- Opportunity to shape the future of AI /p /brh3Equal Opportunity Statement /h3 /brpthe company 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. /p /brpApplicants 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. /p /brpIf you need accommodations during the application process, please let us know. /p /p #J-18808-Ljbffr