Senior Technical Project Manager - Token Factory

Nebius 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.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D 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 R&D.

As a Technical Project Manager in Token Factory, your primary focus will be coordinating complex cross-functional projects, including new region launches, engineering quality and platform-wide improvement projects, and the end-to-end delivery pipeline for new AI models. You will bring together multiple engineering teams, understand the critical path, proactively manage dependencies and risks, and ensure that ambitious technical goals are delivered predictably, on time, and without unnecessary operational overhead.

Your responsibilities will include:

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.