Senior Technical Project Manager (Applied AI)

Location: Palo Alto, California, United States. Applicants must be authorized to work in the country in which they apply.

Salary: $147,200–$224,000 USD base compensation.

Company

Nebius builds a full-stack AI cloud platform covering data processing, model training, inference, and production deployment.

What you will do

• Lead infrastructure and capacity delivery projects, including new region deployments, capacity expansion, and maintenance framework initiatives.
• Coordinate AI model onboarding and production delivery from infrastructure readiness through customer availability.
• Build execution plans, identify critical paths and risks, and resolve blockers before they affect delivery.
• Coordinate engineering managers, technical leads, product managers, SRE, infrastructure, networking, security, and other platform teams.
• Facilitate technical decisions, clarify ownership, and drive accountability across complex cross-team projects.
• Improve engineering delivery processes while supporting predictable execution and a sustainable pace.

Requirements

• Strong project management and delivery skills, including the ability to turn ambiguous initiatives into executable plans.
• Ability to manage critical paths, complex dependency graphs, and multiple parallel workstreams.
• Strong risk management, prioritization, communication, and follow-up skills.
• Excellent written and verbal English communication skills required.
• Experience leading incident coordination, facilitating technical discussions, and documenting decisions.
• Technical background sufficient to understand engineering discussions, infrastructure dependencies, and architectural trade-offs.

Nice to have

• Experience with GPU infrastructure, AI/ML platforms, or large-scale inference systems.
• Experience delivering cloud infrastructure or data center deployment projects.
• Familiarity with capacity planning, production operations, and reliability engineering.
• Experience in high-growth infrastructure or platform engineering organizations.

Culture & Benefits

• Competitive compensation and benefits.
• Career growth and learning opportunities.
• Flexibility, ownership, and a collaborative working environment.
• Opportunity to work on impactful AI infrastructure projects.
• International environment with teams across Europe, the UK, North America, and Israel.