Technical Product Manager - Soperator

Nebius B.V.; Deutschland; Remote; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Impactful AI projects

International environment and talented

Zusammenfassung

Nebius seeks a Technical Product Manager to own the product direction for Soperator — our Slurm-on-Kubernetes control plane for GPU clusters. You will shape how ML engineers and research teams run, scale, and optimize distributed workloads in production.

You will own the full user journey across Soperator clusters, define end-to-end roadmaps, and lead customer discovery, analytics, and data‑informed prioritization.

Qualifikationen

• 3–5+ years in Product Management or ML infra, distributed systems or cloud engineering.
• Strong technical depth in distributed systems or cloud infrastructure.
• Hands-on familiarity with large-scale ML training/orchestration tools (Slurm, Kubernetes, Ray).
• Track record shipping technically complex products and influencing stakeholders.

Aufgaben

• Own the product direction for Soperator across its user journey.
• Define end-to-end roadmaps from discovery to delivery and adoption.
• Lead customer interviews, analytics, and data-informed prioritization.
• Coordinate with compute, networking, storage, observability, IAM, and OSS teams.
• Translate frontier ML ideas into practical product capabilities.

Kenntnisse

Product Management

ML infrastructure

Distributed systems

Cloud platform engineering

Slurm

Kubernetes

Ray

Ownership

Product analytics

Stakeholder management

Tools

Slurm

Kubernetes

Ray

Jobbeschreibung

We are seeking a Technical Product Manager to own the 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.

Your responsibilities include owning the full user journey across Soperator clusters (Slurm workflows, dashboards, alerts/notifications, node lifecycle, training/inference capacity management), defining product direction end-to-end (problem discovery to delivery and adoption), leading customer discovery through interviews and analytics, coordinating with platform teams (compute, networking, storage, observability, IAM, etc.), translating frontier ML and infrastructure ideas into practical product capabilities, defining success metrics and roadmaps, and leading the OSS strategy for Soperator to drive community adoption.

Requirements include 3–5+ years in Product Management, ML infrastructure/MLOps, distributed systems, or cloud platform engineering; strong technical depth in distributed systems or cloud infrastructure; hands‑on familiarity with large-scale ML training/orchestration tools (Slurm, Kubernetes, Ray); track record shipping technically complex products; strong communication and stakeholder management; experience with product analytics and data‑informed prioritization; high ownership and fast learning velocity.

Bonus points for GPU platforms/HPC primitives experience, modern ML training stacks (PyTorch, DeepSpeed, FSDP/ZeRO, NCCL), observability and SRE/reliability engineering, and customer-facing technical experience.

Benefits & Perks include

• 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

About Nebius Nebius AI provides an AI cloud platform with large GPU capacities in Europe; we operate data centers and have a global footprint with R&D hubs across Europe, the UK, North America and Israel.

What it’s like to work at Nebius emphasizes fast‑moving, bold thinking and meaningful impact, with a culture of trust and ownership.

We are an equal opportunity employer and welcome applicants from all backgrounds.