Product Manager, Model Launches

About [Employer]:

[Employer] is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role

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

Your responsibilities will include:

• 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.

Pay Transparency

We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.

Benefits & Perks:

• 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

What's it like to work at [Employer]:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement:

[Employer] is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

Originally posted on [Employer]