Product Marketing Manager, Science

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.

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.

As a Product Marketing Manager, Science, you will serve as the strategic bridge between Mistral's Science organisation and our Marketing, Product and Go-to-Market teams. Your mission is to 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 our models.

You will work closely with researchers and engineers to provide industry-leading thought leadership, bring new models and capabilities to market, and ensure launches are technically accurate, commercially relevant, and easy to understand. This role is ideal for someone who combines deep technical curiosity with exceptional communication and storytelling skills.

• Develop positioning, messaging and technical narratives for Mistral's foundation models and research innovations.
• Translate complex AI concepts - including pre-training, post-training, reasoning, evaluation and inference - into clear, compelling customer value.
• Partner with Science, Product and Engineering throughout the product development lifecycle to ensure technical accuracy and market relevance.

• Own the technical marketing components of model launches, including launch messaging, technical blogs, documentation, presentations and demos.
• Collaborate with Product Marketing, Communications and Developer Relations to deliver cohesive go-to-market campaigns.

• Produce technical blogs, whitepapers, benchmark analyses, presentations, demo videos, webinars and workshops.
• Build sales enablement materials that help technical and commercial teams confidently communicate Mistral's differentiated capabilities.
• Develop content that supports enterprise buyers, developers and AI practitioners throughout their evaluation journey.

• Equip Sales, Solutions Engineering and Partnerships teams with technical messaging, competitive insights and customer-facing assets.
• Support customer briefings, executive meetings and strategic technical conversations.
• Partner closely with Developer Relations and Solutions Architects to ensure consistent technical messaging across all customer touchpoints.

• Support analyst briefings, technical advisory boards and industry events.
• Help position Mistral as a thought leader by communicating advances in frontier AI research to external audiences.

• 5+ years in Product Marketing, Technical Product Marketing, Solutions Engineering or Technical Marketing within AI, machine learning, cloud infrastructure or enterprise software.
• Experience working closely with research or engineering teams to launch highly technical products.
• Strong understanding of large language models and modern AI systems. Experience with model training, evaluation, or inference is highly desirable.

• Ability to quickly understand complex technical concepts and translate them into clear business value.
• Excellent written communication with experience creating technical content for both technical and executive audiences.
• Familiarity with enterprise AI deployments, APIs, cloud infrastructure and developer ecosystems.

• Highly collaborative and comfortable working across Science, Product, Marketing and Go-to-Market teams.
• Curious, analytical and passionate about…