Senior AI Platform PM: Fast-Track GPU Models to Production

Nebius; Palo Alto (CA); On-site; USD 147,000 - 224,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Impactful AI projects

International environment

Job summary

Nebius, a Nasdaq-listed global AI cloud company, seeks a Technical Project Manager for the Token Factory. You will orchestrate complex, cross-functional initiatives—from model launches to new GPU platform deployments—balancing technical trade-offs, risks, and schedules.

You’ll coordinate multiple engineering teams to deliver impactful AI projects on time. Responsibilities include leading delivery meetings, unblock blockers, and drive improvements in delivery processes while maintaining a

Qualifications

• Proven ability to break down ambiguous initiatives into executable plans.
• Strong skill in identifying critical paths and coordinating parallel workstreams.
• Excellent written and verbal communication in English.
• Comfortable leading incident coordination and driving follow-up actions.

Responsibilities

• Coordinate cross-functional projects, including new model launches and GPU platform deployments.
• Manage dependencies and risks across engineering, platform, and product teams.
• Lead delivery syncs to unblock teams and ensure on-time progress.
• Oversee production onboarding of models from infrastructure readiness to customer availability.
• Ensure clear ownership and accountability across complex cross-team efforts.
• Improve engineering delivery processes for predictability and sustainable pace.

Skills

Project management

Dependency management

Risk management

Technical background

English proficiency

Incident coordination

Cross-team collaboration

Job description

Nebius, a Nasdaq-listed global AI cloud company, seeks a Technical Project Manager for the Token Factory. You will orchestrate complex, cross-functional initiatives—from model launches to new GPU platform deployments—balancing technical trade-offs, risks, and schedules.

You’ll coordinate multiple engineering teams to deliver impactful AI projects on time. Responsibilities include leading delivery meetings, unblock blockers, and drive improvements in delivery processes while maintaining a