Senior Technical Project Manager – Applied AI

Location: Palo Alto, California, United States

Base compensation: $147,200–$224,000 USD annually

Company

Nebius builds a full-stack AI cloud platform supporting data processing, model training, inference, and production deployment for developers and enterprises.

What you will do

• Lead model and template delivery from model weights and validation through production endpoints.
• Coordinate model onboarding, infrastructure readiness, production serving, and customer availability.
• Run Applied AI and Customer Delivery synchronization, resolve open issues, and unblock teams.
• Coordinate new GPU platform bring-up, including engine and kernel readiness, benchmarking, and template migration.
• Partner with Token Factory Product on the serverless launch path, including catalogue, model card, and public availability handoff.
• Build execution plans, manage risks and dependencies, facilitate technical decisions, and improve delivery processes.

Requirements

• Excellent project management and delivery skills, including breaking down ambiguous initiatives into executable plans.
• Ability to identify critical paths, manage complex dependency graphs, and coordinate parallel workstreams.
• Strong risk management, prioritization, written communication, and verbal communication skills.
• Excellent English communication skills are required.
• Experience coordinating incidents, facilitating discussions, documenting decisions, and driving follow-up actions.
• Strong technical background in engineering discussions, infrastructure dependencies, and architectural trade-offs; applicants must be authorized to work in the country of application.

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 environment.
• Opportunity to work on impactful AI projects with international teams.
• Fast-moving environment focused on bold thinking, growth, and meaningful impact.