Product Manager, Model Launches

• 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. You drive remediation of any gaps or defects identified to ensure model launch quality.
• 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 so that day-0 launches land cleanly.
• 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.

We expect you to have

• • 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. You’ll set up workflows with existing tools to retrieve data, run checks and keep internal operations moving. You understand how to use AI safely and effectively, verify its output, and recognize when a non-AI approach is the right decision.
  • Technical fluency to work with APIs, read configuration and template files, familiarity with Git and CI/CD pipelines and modern software delivery practices.

It would be an added bonus if you have

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