Strategic Data & Licensing Partnerships

Mistral AI is hiring a Strategic Data & Licensing Partnerships in Paris, France. Level rates it ; you can apply on Mistral AI.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
Tools and skills the posting cites include RAG, strategic partnerships and licensing.
Level classifies it as a senior role.
Level lists 234 other open roles at Mistral AI.

AI in this role

Drive the acquisition of premium content and negotiate agreements for AI training and RAG data.

ragstrategic-partnershipslicensingcontract-negotiationai-data-ecosystems

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.

How we rate this

Strategic Data & Licensing Partnerships at Mistral AI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Strategic Data & Licensing Partnerships is an open job at Mistral AI.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Paris.
The job was posted on July 5, 2026.
Seniority: senior.
Applications are handled by Mistral AI. Apply on Mistral AI

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGStrategic PartnershipsLicensingContract NegotiationAI Data Ecosystems

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Tell me about a project where strategic partnerships was part of your work. What did you do?
Tell me about a project where licensing was part of your work. What did you do?
Tell me about a project where contract negotiation was part of your work. What did you do?
Tell me about a project where ai data ecosystems was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: RAG, Strategic Partnerships, Licensing, Contract Negotiation, and AI Data Ecosystems. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker