Mistral AI
Strategic Data & Licensing Partnerships
Paris +2 · Full-time · Posted Jul 5, 2026
- Location
- Paris
Palo Alto
London - Education
- Degree in Science, Technology, Engineering, Mathematics, or related field.
About the job
Secures premium content for AI training, RAG, and distribution by sourcing providers, negotiating complex licensing and partnership agreements, and building long-term relationships.
What you'll do
- Build and manage a pipeline of quality content providers, vetting them for legal and business compliance.
- Negotiate licensing, revenue-sharing, and co-development agreements with publishers, universities, and research institutions.
- Coordinate procurement with internal teams and report on sourcing activities and analytics.
What they ask for
- Track record negotiating and closing complex deals ($10M+), including licensing, revenue-sharing, or co-development agreements.
- Deep understanding of AI training data ecosystems and ability to translate technical needs into business terms.
- Legal acumen in data acquisition and content licensing, including global copyright laws.
- Strong STEM background (degree in Science, Technology, Engineering, Mathematics, or related field); fluency in English and French.
Nice to have
- Existing network in publishing, academic, or research communities, or experience with AI training data (pretraining, RAG, synthetic data).
- Additional languages (e.g., German).
Tools
AI, RAG, DCF analysis
AI focus
Acquiring and licensing data and content for AI training, RAG, and distribution; aligning content sourcing with technical needs and ethical data practices.
Model-written summary · the original posting is authoritative