Strategic AI Data Licensing Partnerships Lead

Lindus Health; Palo Alto (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Mistral AI is seeking a Strategic Data & Licensing Partnerships Negotiator to drive premium content acquisition and negotiate complex agreements for AI training, RAG, and distribution. You will build long-term relationships with publishers, universities, and data providers while aligning sourcing with strategic goals.

You will collaborate with Science, Product, and Go-To-Market teams to ensure ethical data practices and scalable content sourcing across global partnerships.

Qualifications

• Proven track record negotiating and closing complex deals.
• Deep understanding of AI training data ecosystems.
• Legal acumen in data acquisition and content licensing.
• Strong STEM background in Science, Technology, Engineering, Mathematics, or related field.
• Excellent communication and stakeholder management, with experience negotiating with C-level stakeholders.
• Business acumen in market analysis and financial modeling (e.g., DCF).
• Fluency in English and French; additional languages a plus.
• Existing network in publishing, academic, or research communities.

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 licensing agreements 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 to align procurement with 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.

Job description

Mistral AI is seeking a Strategic Data & Licensing Partnerships Negotiator to drive premium content acquisition and negotiate complex agreements for AI training, RAG, and distribution. You will build long-term relationships with publishers, universities, and data providers while aligning sourcing with strategic goals.

You will collaborate with Science, Product, and Go-To-Market teams to ensure ethical data practices and scalable content sourcing across global partnerships.