[Hiring] Product Manager, Model Launches @Nebius

Role Description

Token Factory is hiring a Product Manager for new model launches. We bring the newest state-of-the-art models to production, often on day-0 as a launch partner to frontier and emerging AI labs. Reporting into the product organization, you’ll own end-to-end delivery and work with engineering, billing, legal, marketing and our partners to ensure timely and quality model launches on the platform.

You’re welcome to work remotely from the United States.

• Own end-to-end execution of new model launches on Token Factory, from intake and kickoff to public release and post-launch activities, ensuring every model launches on time and with quality.
• Coordinate across engineering, billing, legal and marketing to ensure all deliverables that each launch depends on are ready, such as: model metadata, serving configuration, pricing, licensing and GTM communications.
• Responsible for the quality of every model release through hands-on QA validation of inference, configuration and metadata and third-party integrations.
• Act as the operational point of contact for model partners during a launch, aligning scope, timing, access to model assets and post-launch follow-up.
• Keep stakeholders informed with regular status updates, and report on post-launch traction and economic performance.
• Maintain and improve model launch operating procedures: runbooks, intake criteria, templates and onboarding materials and acceptance gates.
• Run retrospectives to gather insights and opportunities that feed back into that process-improvement loop.
• Coordinate issues, escalations and questions for upcoming and recently launched models, including support escalations, known issues and duty coordination for model problems.

Qualifications

• 5+ years in a product, engineering or similar role shipping software, AI or other developer-facing products/services.
• Ability to navigate technical and procedural friction across time zones and team boundaries.
• Effective communication skills: provide concise status updates, work with internal stakeholders and external partners, run weekly meetings and write clear documentation.
• Understanding of how models are served and consumed: architectures, serving configuration, quantization, GPU hardware and the OpenAI API schema standard.
• Adept with AI agents and skills, setting up workflows with existing tools to retrieve data, run checks and keep internal operations moving.
• Technical fluency to work with APIs, read configuration and template files, familiarity with Git and CI/CD pipelines and modern software delivery practices.

Requirements

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

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