Nebius Group
1001 - 5000 employees
🏢 Enterprise
☁️ SaaS
AI • Enterprise • SaaS
Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
Senior Technical Product Manager – Serverless AI
Job not on LinkedIn
🕒 May 2
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Nebius Group
1001 - 5000 employees
🏢 Enterprise
☁️ SaaS
AI • Enterprise • SaaS
Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
📋 Description
• Nebius Serverless AI is our consumption-based compute platform for running AI workloads — training jobs, inference endpoints, and interactive development environments — without managing infrastructure. • Users submit containerized workloads via CLI or UI, access GPU compute with pay-per-second billing, and the platform handles provisioning, lifecycle, and cleanup. • Together you will divide ownership across the product surface — but individually, you will own your areas with full autonomy. • You will be the person who understands container runtimes, GPU scheduling, cold start optimization, and inference serving deeply enough to make correct technical trade-offs — and also the person who talks to customers, shapes the CLI experience, defines pricing, and drives adoption. • We are building the next generation of AI cloud — infrastructure designed from the ground up for GPU-intensive workloads, not retrofitted from legacy cloud.
🎯 Requirements
• You have built, shipped, and iterated on infrastructure or platform products used by developers or ML engineers. Not consumer apps. Not dashboards. Infrastructure. • You understand containers at a practical level — Docker, image registries, container runtimes, resource limits, networking. You've debugged why a container won't start, why GPU isn't visible inside it, or why a mount isn't working. • You have working knowledge of GPU computing for AI/ML: what GPU types exist and when to use them, how training and inference workloads differ in resource requirements, what vLLM / TensorRT-LLM / Triton are and why they matter. • You can read a CLI reference and know if it's well-designed. You've shaped developer-facing APIs, CLIs, or SDKs. • You have run real customer discovery — not surveys, but technical conversations with engineers where you learned something that changed your product direction. • You have 3+ years of product management experience in cloud infrastructure, AI/ML platforms, or developer tools.
🏖️ Benefits
• Competitive salary and comprehensive benefits package. • Opportunities for professional growth within Nebius. • Flexible working arrangements. • A dynamic and collaborative work environment that values initiative and innovation.
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