At a Glance
- Tasks: Negotiate high-value agreements and build partnerships with publishers and academic institutions.
- Company: Mistral, a leading AI company in Greater London.
- Benefits: Competitive salary, equity, health insurance, and visa sponsorship.
- Why this job: Join a dynamic team and shape the future of AI with premium content.
- Qualifications: Proven negotiation skills and a strong STEM background.
The predicted salary is between 60000 - 80000 £ per year.
Mistral in Greater London is seeking an experienced negotiator for their Strategic Data & Licensing Partnerships team. This role involves acquiring premium content for AI training and building relationships with publishers and academic institutions.
The successful candidate will have a proven track record in closing high-value agreements, excellent negotiation skills, and a strong STEM background.
Benefits include competitive salary, equity, health insurance, and visa sponsorship.
Strategic Data & Licensing Partnerships Lead employer: mistral
Mistral is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from competitive salaries, equity options, comprehensive health insurance, and visa sponsorship, alongside ample opportunities for professional growth within the rapidly evolving field of AI. Joining Mistral means being part of a forward-thinking team dedicated to making a meaningful impact through strategic partnerships with leading publishers and academic institutions.
StudySmarter Expert Advice🤫
We think this is how you could land Strategic Data & Licensing Partnerships Lead
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Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at mistral
✨Brush Up on Your Statistics
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✨Prepare for Case Studies
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