Strategic Data & Licensing Partnerships

As a Strategic Data & Licensing Partnerships Negotiator on the Strategic Data & Licensing Partnerships team, you will drive the acquisition of premium content and negotiate complex agreements to secure high-value data and content for AI training, RAG, and distribution. Your work will enable Mistral AI to access quality, relevant sources while building long-term relationships with publishers, universities, research institutions, and data providers. You will collaborate closely with cross-functional teams to align content sourcing with Mistral AI’s strategic interests, ensuring innovative and ethical use of data. This role is for a results-driven negotiator who thrives in high-stakes deal-making and understands the intersection of AI, academic content, and ethical data practices.

Responsibilities

Build and manage a pipeline of high-quality content (STEM, academic, robotics, multimedia) while vetting providers for legal and business compliance; Negotiate complex, multi-pronged agreements (licensing, revenue-sharing, co-development) with publishers, universities, and research institutions; Develop long-term partnerships that promote fair compensation and sustainability for content creators and owners; Collaborate with internal teams (Science, Product, Go To Market) to align procurement with their objectives and evaluate "make vs. buy" options; Provide regular reports and analytics on procurement activities to support data-driven decision-making; Design programs that foster ethical and scalable content sourcing, balancing internal development with external licensing

Requirements

Proven track record negotiating and closing complex deals ($10M+), including licensing, revenue-sharing, or co-development agreements; Deep understanding of AI training data ecosystems and the ability to translate technical needs into business terms; Legal acumen in data acquisition and content licensing, including knowledge of global copyright laws; Strong STEM background (degree in Science, Technology, Engineering, Mathematics, or related field) and passion for academic content; Excellent communication and stakeholder management skills, with experience negotiating with C-level stakeholders; Business acumen in market analysis and financial modeling (e.g., DCF analysis); Fluency in English and French; Existing network in publishing, academic, or research communities or experience with AI training data (pretraining, RAG, synthetic data)

Nice to have

Additional languages (e.g., German)

Benefits

Healthcare coverage; Parental leave; Retirement plans; Relocation support; Wellness programs; Meal and transportation allowances; Other location-specific perks