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Senior Technical Program Manager – LLM Inference

Nebius· Token Factory-NP
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Palo Alto, CA$147.2k - $224kFull-timePosted 2mo ago

About the role

TechnicalProgramManager coordinating complex cross-functional projects for model launches, GPU platform production, and end-to-end delivery pipelines for new AI models within Nebius' Token Factory.

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.

Qualifications

  • 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

Skills

Required:Project managementDependency and risk managementCommunicationTechnical collaborationIncident coordination
Nice to have:GPU/AI infrastructure familiarityCloud infrastructure deployment

Benefits

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams
Last updated Oct 7, 2026. Interested? Apply on the company site.
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The ultimate cloud for AI explorers

Discover the most efficient way to build, tune and run your AI models and applications on top-notch NVIDIA® GPUs.

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