Product Manager – Model Launches
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Job Description
Product Manager launching state-of-the-art AI models on Nebius’s cloud infrastructure platform. Coordinating engineering, partners and go-to-market teams for reliable day-0 releases.
Responsibilities:
- Own end-to-end execution of new model launches on Token Factory, from intake and kickoff through public release and post-launch activities
- Coordinate with engineering, billing, legal and marketing on model metadata, serving configuration, pricing, licensing and GTM communications
- Perform hands-on QA validation of inference, configuration, metadata and third-party integrations; drive remediation of gaps or defects
- Serve as operational point of contact for model partners during launches, aligning scope, timing, model-asset access and post-launch follow-up
- Provide regular stakeholder status updates and report on post-launch traction and economic performance
- Maintain and improve launch operating procedures, runbooks, intake criteria, templates, onboarding materials and acceptance gates
- Run retrospectives to identify process improvements
- Coordinate issues, escalations, support escalations, known issues and duty coordination for model problems
Requirements:
- 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, to support, communicate or escalate as needed
- 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, including setting up workflows with existing tools to retrieve data, run checks and keep internal operations moving
- Ability to use AI safely and effectively, verify its output, and recognize when a non-AI approach is appropriate
- Technical fluency with APIs, configuration and template files, Git, CI/CD pipelines and modern software delivery practices
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility as a condition of hire
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
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