Senior Technical Program Manager – LLM Inference

About the Position

We are looking for a Senior Technical Program Manager – LLM Inference to join our team at Nebius in Palo Alto, California, United States. As a key player in our Token Factory, you will be responsible for coordinating complex cross-functional projects, ensuring successful model launches, and driving the end-to-end delivery pipeline for new AI models.

About Nebius

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. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software, and AI R&D.

Responsibilities

• Leading template and model delivery - from weights through validation to production endpoint.
• Coordinating model onboarding and production delivery, from infrastructure readiness to successful customer availability.
• Running the Applied AI / Customer Delivery sync - driving open issues to resolution and unblocking teams between meetings.
• Coordinating the bring-up of new GPU platforms for serving - engine and kernel readiness, benchmarking against current hardware, and template migration once validated.
• Partnering with Token Factory Product on the serverless launch path - ensuring validated templates hand off cleanly into catalogue, model card, and public 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 within Applied AI's delivery chain to make execution more predictable while maintaining a sustainable pace for engineering teams.

Requirements

• Excellent project management and delivery skills with the ability to break down ambiguous initiatives into executable plans.
• Ability to identify critical paths, manage complex dependency graphs, and coordinate multiple parallel workstreams.
• Strong risk management and prioritization skills, with the ability to make progress in fast-changing environments.
• Excellent written and verbal communication skills in English.
• Comfortable leading incident coordination, facilitating discussions, documenting decisions, and driving follow-up actions.
• Strong technical background that allows you to understand engineering discussions, infrastructure dependencies, and architectural trade-offs without being the primary implementer.

Nice to Have

• Experience working 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.
• Previous experience in high-growth infrastructure or platform engineering organizations where priorities change quickly and execution speed matters.

We Offer

• Competitive compensation: Base Compensation Range $147,200-$224,000 USD.
• Career growth and learning opportunities.
• Flexibility and ownership.
• Collaborative and innovative culture.
• Opportunity to work on impactful AI projects.
• International environment and talented teams.

About the Company

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

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