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Strategic Data & Licensing Partnerships

Mistral · Paris · Hybrid

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schedule

Posted

Today

work

Job type

Full-time

domain

Industry

IT & Software

group

Openings

1

About the role

Strategic Data & Licensing Partnerships About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role 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. What You Will Do - 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. What We're Looking For - 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; additional languages (e.g., German) are a plus. - Existing network in publishing, academic, or research communities or experience with AI training data (pretraining, RAG, synthetic data). What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page. Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy. Paris

Key responsibilities

  • check_circleCollaborate with the team on day-to-day project tasks
  • check_circleLearn tools and processes used by the organization
  • check_circleDocument work and participate in team meetings
  • check_circleSupport quality checks and continuous improvement

Requirements

  • check_circleBuild and manage a pipeline of high-quality content (STEM, academic, robotics, multimedia) while vetting providers for legal and business compliance.
  • check_circleNegotiate complex, multi-pronged agreements (licensing, revenue-sharing, co-development) with publishers, universities, and research institutions.
  • check_circleDevelop long-term partnerships that promote fair compensation and sustainability for content creators and owners.
  • check_circleCollaborate with internal teams (Science, Product, Go To Market) to align procurement with their objectives and evaluate "make vs. buy" options.
  • check_circleProvide regular reports and analytics on procurement activities to support data-driven decision-making.
  • check_circleDesign programs that foster ethical and scalable content sourcing, balancing internal development with external licensing.
  • check_circleProven track record negotiating and closing complex deals ($10M+), including licensing, revenue-sharing, or co-development agreements.
  • check_circleDeep understanding of AI training data ecosystems and the ability to translate technical needs into business terms.
  • check_circleLegal acumen in data acquisition and content licensing, including knowledge of global copyright laws.
  • check_circleStrong STEM background (degree in Science, Technology, Engineering, Mathematics, or related field) and passion for academic content.
  • check_circleExcellent communication and stakeholder management skills, with experience negotiating with C-level stakeholders.
  • check_circleBusiness acumen in market analysis and financial modeling (e.g., DCF analysis).

Skills & keywords

datagolicensingmistralparispartnershipsstrategic

Benefits & perks

  • check_circleMentorship
  • check_circleCertificate of completion
  • check_circleFlexible work arrangement where applicable