AI Studio Product Manager: From Prototyping to Production

Mistral; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Healthcare coverage

Parental leave

Retirement plans

Relocation support

Wellness programs

Meal and transportation allowances

Résumé du poste

Mistral is seeking a Product Manager on the Studio team to define and execute the product strategy for one of our squads, focusing on workflows, observability, AI registry and spaces, and more. You will help enterprises build, evaluate, and operate AI systems reliably, safely, and at scale, turning prototypes into production-ready solutions.

As part of a distributed, collaborative team, you will determine how enterprises observe AI behavior, run complex workflows, version assets, and deploy

Qualifications

• Experience working with AI products, including large language models or ML systems.
• Ability to balance technical trade-offs with product goals.
• Strong product strategy and market research skills.

Responsabilités

• Define a clear product strategy for AI tools aligned with company goals.
• Lead market and user research to uncover unmet needs.
• Drive end-to-end product development from concept to launch.
• Partner with design and research to create effective user experiences.
• Collaborate with marketing and sales to launch products, including pricing and positioning.
• Align engineering, design, and business teams around priorities and trade-offs.
• Maintain a roadmap that balances short-term results with long-term goals.

Connaissances

AI products

LLMs

Machine learning

Product strategy

Description du poste

Mistral is seeking a Product Manager on the Studio team to define and execute the product strategy for one of our squads, focusing on workflows, observability, AI registry and spaces, and more. You will help enterprises build, evaluate, and operate AI systems reliably, safely, and at scale, turning prototypes into production-ready solutions.

As part of a distributed, collaborative team, you will determine how enterprises observe AI behavior, run complex workflows, version assets, and deploy