Technical Product Manager - AI Compute Platform

Slashhash; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Nebius, an Amsterdam-based AI compute platform company, is seeking an experienced Product Manager with a strong background in cloud infrastructure to lead platform products. You will own strategy, roadmap, discovery, and delivery for multi-tenant compute and AI training workflows, collaborating across platform engineering, networking, storage, and IAM.

The role emphasizes ownership, customer orientation, and cross-team leadership, with a focus on scalable GPU clusters, HPC fabrics, and reliable

Qualifications

• Proven experience in product management for cloud infrastructure platforms.
• Strong technical background in cloud infrastructure and APIs.
• Ability to own end-to-end product strategy, roadmap, and metrics.

Responsibilities

• Own end-to-end product responsibility for your area — strategy, roadmap, discovery, delivery, adoption, measurable customer and platform outcomes.
• Design and own the platform contracts customers depend on — APIs, semantics, system events, customer-facing surfaces, operational behavior.
• Drive cross-team execution across platform engineering, networking, storage, observability, IAM, billing, capacity planning, support, and product design.
• Turn customer pain into product commitments through structured discovery.
• Engage engineering as a technical peer — debate API design, reason about system trade-offs, judge platform internals.
• Define and own success metrics for your product slice.
• Be the product voice escalated by customer-facing teams.

Skills

Communication

Leadership

Cross-team Collaboration

Customer Orientation

Ownership

Operational Aptitude

Tools

Kubernetes

Slurm

HPC environments

NVIDIA CUDA

Observability tools

Job description

Nebius is building an AI compute platform focused on cloud infrastructure and hardware for AI training and inference. The company, headquartered in Amsterdam, seeks experienced Product Managers with strong technical and cloud infrastructure background to lead impactful platform products.

Technical (Must-have)

• Product Management
• Cloud Infrastructure
• API Design
• System Events
• Multi-tenant Operational Realities
• Kubernetes
• Slurm
• HPC environments
• NVIDIA reference architectures
• InfiniBand / RoCE fabrics
• Cluster Operations
• Reliability Engineering
• Observability tools
• ML training workflows
• NVIDIA CUDA
• AI cloud infrastructure

Soft Skills

• Communication
• Leadership
• Cross-team Collaboration
• Customer Orientation
• Ownership
• Operational Aptitude

Technical (Nice-to-have)

• Customer-facing Product Experience
• Distributed Training at Scale
• GPU clusters at thousands-of-nodes scale
• HPC fabrics
• Pricing strategies for infrastructure
• ML platform teams
• MLOps engineers
• Familiarity with Kubernetes, Slurm, or HPC environments

Key Responsibilities

• Own end-to-end product responsibility for your area — strategy, roadmap, discovery, delivery, adoption, measurable customer and platform outcomes
• Design and own the platform contracts customers depend on — APIs, semantics, system events, customer-facing surfaces, operational behavior
• Drive cross-team execution across platform engineering, networking, storage, Soperator/MK8S, observability, IAM, billing, capacity planning, support, and product design
• Turn customer pain into product commitments through structured discovery
• Engage engineering as a technical peer — debate API design, reason about system trade-offs, judge platform internals
• Define and own success metrics for your product slice
• Be the product voice escalated by customer-facing teams