Senior AI Cloud Platform Delivery Lead

ApplyMint; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Career growth

Learning opportunities

Flexible ownership

Collaborative culture

Impactful AI projects

Job summary

Nebius is seeking a Technical Project Manager in Token Factory to coordinate complex cross-functional projects and manage end-to-end delivery for new AI models. You will align engineering, product, SRE, security, and other platform teams to ensure on-time execution with minimal overhead.

You will drive infrastructure delivery, model onboarding, and capacity expansion initiatives while building robust execution plans, identifying risks, and removing blockers to keep delivery predictable in a

Qualifications

• Break down ambiguous initiatives into executable plans.
• Identify critical paths and coordinate parallel workstreams.
• Strong risk management and prioritisation in fast-changing environments.
• Excellent written and verbal English communication.

Responsibilities

• Lead infrastructure and capacity delivery projects such as new region deployments.
• Coordinate model onboarding and production delivery from readiness to availability.
• Build and maintain execution plans and resolve blockers early.
• Collaborate with engineering managers, technical leads, product managers, SRE, and platform teams.
• Facilitate technical decision-making and ensure ownership across projects.
• Improve engineering delivery processes for predictable execution.

Skills

Project management

Dependency management

Risk management

Communication (English)

Technical understanding

Job description

Nebius is seeking a Technical Project Manager in Token Factory to coordinate complex cross-functional projects and manage end-to-end delivery for new AI models. You will align engineering, product, SRE, security, and other platform teams to ensure on-time execution with minimal overhead.

You will drive infrastructure delivery, model onboarding, and capacity expansion initiatives while building robust execution plans, identifying risks, and removing blockers to keep delivery predictable in a