Product Manager, Model Launches

Role overview Own the end-to-end launch of new AI models on a developer-facing platform, coordinating the work needed to bring each model into production on schedule and with reliable quality. The role spans launch planning, technical validation, partner coordination, release communications, and post-launch follow-up, working across technical and business teams.

Responsibilities - Manage model launches from initial intake and kickoff through release and post-launch review. - Coordinate readiness across engineering, billing, legal, and marketing, including model metadata, serving settings, pricing, licensing, and launch communications. - Validate inference, configuration, metadata, and external integrations; drive fixes for issues found before release. - Serve as the operational contact for model partners, aligning scope, timelines, asset access, and follow-up. - Keep stakeholders updated and report on launch traction and economic performance. - Maintain launch procedures and materials, run retrospectives, and coordinate escalations for upcoming and recently released models.

Requirements - At least five years in product, engineering, or a similar role delivering software, AI, or developer-facing services. - Ability to resolve or escalate technical and process blockers across teams and time zones. - Strong written and spoken communication, including concise updates, partner coordination, meeting facilitation, and documentation. - Understanding of model serving and consumption, including serving configurations, quantization, GPU hardware, and the OpenAI API schema standard. - Technical fluency with APIs, configuration files, Git, CI/CD pipelines, and modern software delivery practices. - Ability to use AI agents and tools thoughtfully, verify their output, and choose non-AI methods when appropriate.

Nice to have - Software development experience. - Experience with LLM inference serving, including engines, quantization, or benchmarking. - Familiarity with Kubernetes, Helm, and autoscaling.

Benefits and work setup Remote work is available from the United States. The source describes competitive compensation and benefits, learning and career development, flexibility, and opportunities to work on AI projects in an international team.