Senior Technical Project Manager - Token Factory

About the role

The Technical Project Manager will coordinate complex cross-functional projects, including new region launches, engineering quality initiatives, and the end-to-end delivery pipeline for new AI models. This role involves bringing together multiple engineering teams to manage dependencies, identify risks, and ensure ambitious technical goals are delivered predictably. The position requires a strong technical background to facilitate decision-making and improve engineering delivery processes.

Responsibilities

• Leading infrastructure and capacity delivery projects, including new region deployments, capacity expansion, or maintenance framework initiatives.
• Coordinating model onboarding and production delivery, from infrastructure readiness to successful customer availability.
• Building and maintaining execution plans, identifying risks early, and ensuring blockers are resolved before they impact delivery.
• Working closely with engineering managers, technical leads, product managers, SRE, infrastructure, networking, security, and other platform teams.
• Facilitating technical decision-making and ensuring ownership and accountability across complex cross-team projects.
• Continuously improving engineering delivery processes to make execution more predictable while maintaining a sustainable pace for engineering teams.

Required skills

• Project management
• Risk management
• Dependency management
• Incident coordination
• Technical communication

Nice to have

• GPU infrastructure
• AI/ML platforms
• Large-scale inference systems
• Cloud infrastructure
• Data center deployment
• Capacity planning
• Reliability engineering

Benefits

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment

About the Company

Nebius is building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment. Listed on Nasdaq and headquartered in Amsterdam, the company has a global footprint with R&D hubs across Europe, the UK, North America, and Israel.