Product Manager, Model Launches
New
N
NebiusAI infrastructure
Remote - United States; You’re welcome to work remotely from the United States, across time zonesFull-TimeManager
Salary147,200 - 183,900 USD per year
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Job Details
- Experience
- 5+ years in a product, engineering or similar role shipping software, AI or other developer-facing products/services.
- Required Skills
- GitProduct ManagementCI/CDRESTful APIs
Requirements
- Have 5+ years in a product, engineering or similar role shipping software, AI or other developer-facing products or services.
- Navigate technical and procedural friction across time zones and team boundaries, providing support, communication or escalation as needed.
- Provide concise status updates, work with internal stakeholders and external partners, run weekly meetings and write clear documentation.
- Understand model serving and consumption, including architectures, serving configuration, quantization, GPU hardware and the OpenAI API schema standard.
- Use AI agents and skills to set up workflows that retrieve data, run checks and support internal operations; verify AI output and recognize when a non-AI approach is appropriate.
- Work with APIs and read configuration and template files.
- Be familiar with Git, CI/CD pipelines and modern software delivery practices.
- Added bonus: software development experience.
- Added bonus: experience with LLM inference serving, including engines, quantization and benchmarking.
- Added bonus: understanding of Kubernetes, Helm charts and autoscaling.
Responsibilities
- Own end-to-end execution of new model launches, from intake and kickoff through public release and post-launch activities.
- Coordinate engineering, billing, legal and marketing deliverables, including model metadata, serving configuration, pricing, licensing and GTM communications.
- Validate inference, configuration, metadata and third-party integrations, and drive remediation of identified gaps or defects.
- Act as the operational point of contact for model partners, aligning scope, timing, access to model assets and post-launch follow-up.
- Provide regular stakeholder status updates and report on post-launch traction and economic performance.
- Maintain and improve launch runbooks, intake criteria, templates, onboarding materials and acceptance gates.
- Run retrospectives and feed resulting insights into process improvements.
- Coordinate issues, escalations, support questions and duty coordination for upcoming and recently launched models.
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