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Mistral is seeking a Product Marketing Manager, Science to serve as the strategic bridge between its Science organization and Marketing, Product, and Go-to-Market teams. You will translate cutting-edge AI research into compelling product narratives, technical positioning, and customer-facing content that helps developers, enterprise buyers, and industry influencers understand the value of Mistral's models.
Key responsibilities include developing positioning, messaging, and technical narratives for foundation models and research innovations; translating complex AI concepts (pre-training, post-training, reasoning, evaluation, inference) into clear customer value; and partnering with Science, Product, and Engineering throughout the product development lifecycle. You will own technical marketing components of model launches, including launch messaging, technical blogs, documentation, presentations, and demos.
You will create world-class technical content including blogs, whitepapers, benchmark analyses, presentations, demo videos, webinars, and workshops. You'll build sales enablement materials for technical and commercial teams, and develop content supporting enterprise buyers, developers, and AI practitioners throughout their evaluation journey.
You will enable internal and external audiences by equipping Sales, Solutions Engineering, and Partnerships teams with technical messaging and competitive insights. You'll support customer briefings, executive meetings, and strategic technical conversations, and partner with Developer Relations and Solutions Architects to ensure consistent messaging.
The ideal candidate has 5+ years in Product Marketing, Technical Product Marketing, Solutions Engineering, or Technical Marketing within AI, machine learning, cloud infrastructure, or enterprise software. You should have experience working closely with research or engineering teams to launch highly technical products, and a strong understanding of large language models and modern AI systems. A degree in Computer Science, Engineering, Mathematics, AI, or related technical discipline is preferred. Experience launching AI models, developer platforms, or highly technical enterprise products is ideal.
