Product Manager, Model Launches

Nebius

1d•$147,200 - $183,900•Remote

About The Position

Nebius is hiring a Product Manager for new model launches on Token Factory, its AI cloud platform. Token Factory brings state-of-the-art models into production, often on day zero in partnership with frontier and emerging AI labs. Reporting into the product organization, the Product Manager owns end-to-end launch delivery and coordinates with engineering, billing, legal, marketing, and model partners to ensure launches are timely and high quality. The role may be performed remotely from the United States. The position covers launch planning and execution, cross-functional readiness, hands-on quality assurance, partner coordination, stakeholder communications, operational processes, and launch-related issue coordination. The Product Manager also reports on post-launch traction and economic performance, and continuously improves launch procedures through retrospectives and process updates.

Requirements

At least 5 years in a product, engineering, or similar role shipping software, AI, or other developer-facing products or services.
Ability to navigate technical and procedural friction across time zones and team boundaries, providing support, communicating, or escalating as needed.
Effective communication skills, including concise status updates, collaboration with internal stakeholders and external partners, running weekly meetings, and writing clear documentation.
Understanding of how models are served and consumed, including architectures, serving configuration, quantization, GPU hardware, and the OpenAI API schema standard.
Adeptness with AI agents and skills, including setting up workflows with existing tools to retrieve data, run checks, and keep internal operations moving; using AI safely and effectively, verifying its output, and recognizing when a non-AI approach is appropriate.
Technical fluency to work with APIs and read configuration and template files; familiarity with Git, CI/CD pipelines, and modern software delivery practices.

Nice To Haves

Software development experience.
Experience with LLM inference serving, including engines, quantization, and benchmarking.
Understanding of Kubernetes, Helm charts, and autoscaling.

Responsibilities

Own end-to-end execution of new model launches on Token Factory, from intake and kickoff through public release and post-launch activities, ensuring launches are timely and high quality.
Coordinate with engineering, billing, legal, and marketing to prepare model metadata, serving configuration, pricing, licensing, and go-to-market communications.
Validate inference, configuration, metadata, and third-party integrations through hands-on QA; drive remediation of identified gaps or defects.
Serve as the operational point of contact for model partners during launches, aligning scope, timing, access to model assets, and post-launch follow-up.
Provide regular status updates to stakeholders and report on post-launch traction and economic performance.
Maintain and improve model launch procedures, including runbooks, intake criteria, templates, onboarding materials, and acceptance gates.
Run retrospectives and incorporate insights and improvement opportunities into launch processes.
Coordinate issues, escalations, and questions for upcoming and recently launched models, including support escalations, known issues, and duty coordination for model problems.