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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Marketing Engineer (Solutions) - **Company:** Mistral AI - **Location:** London, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Machine Learning, Enterprise Software Applications, Cloud Platform System, Large Language Models, Information Technology, Data Analytics - **Published:** May 31, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/x/37812909/ ## About the Role 3+ years in technical marketing, solutions engineering, or similar roles, preferably in AI/ML or enterprise software Exposure to AI systems, including large language models (LLMs) and agent-based architectures Technical & Communication Skills Strong ability to understand and communicate complex technical concepts to both technical and non-technical audiences Proven ability to translate technical capabilities into meaningful business value propositions Experience creating diverse content formats: slides, docs, blogs, videos, and demos Familiarity with enterprise AI solutions, cloud environments, and technical sales processes Mindset Collaborative, creative, and low-ego Passionate about AI and its real-world impact Comfortable working in fast-paced, cross-functional environments Academic Background Degree in Computer Science, Engineering, or a related technical field preferred It Would Be Ideal If You Have hands-on experience with AI/ML models in a technical marketing or solutions engineering capacity Have built demos or prototypes involving LLMs or agent-based systems Have a track record of creating technical content that drives adoption and accelerates sales cycles Have created sales enablement materials (playbooks, FAQs, battle cards) that influenced revenue outcomes Thrive in translating cutting-edge technology into clear, customer-facing narratives Are based in or willing to relocate to Paris, or open to regular travel ## Description As a Technical Marketing Engineer (TME), you will bridge the gap between Mistral AI's technical teams and go-to-market functions. You will translate advanced AI capabilities into clear, compelling business value, helping enterprise customers understand how our solutions solve real-world problems. You will play a key role in shaping technical narratives, enabling sales teams, and accelerating adoption of Mistral AI's products - particularly across modern AI systems, including LLMs and agent-based architectures. What You Will Do Create and Deliver Technical Content Develop high-quality technical and semi-technical content, including slides, documentation, blogs, videos, demos, webinars, and whitepapers Produce compelling product and model launch materials that clearly communicate value and differentiation Build demo experiences showcasing LLM and agent-based architectures in real-world use cases Translate Technology into Business Value Turn complex AI/ML concepts into clear, outcome-driven value propositions for enterprise audiences Align technical capabilities with customer pain points, industry use cases, and ROI narratives Enable Sales and Partners Create sales enablement assets such as playbooks, internal FAQs, and battle cards Equip sales teams and partners to confidently engage with both technical and business stakeholders Support deal cycles with tailored technical messaging and insights Support Model and Product Launches Collaborate cross-functionally to ensure technical messaging is clear, consistent, and impactful Help position new models and capabilities within market context and competitive landscape Engage with Industry Stakeholders Participate in analyst briefings, technical advisory boards, and industry discussions Contribute to positioning Mistral AI as a thought leader in AI, LLMs, and agent systems Interface with Technical Teams Act as a liaison between Solutions and go-to-market teams Translate advancements in LLMs - including pre-training, post-training, and agent architectures - into actionable insights ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Cloud Vendor Lock-In - Is it just a new version of the Database Abstraction Layers?](https://www.wearedevelopers.com/videos/1185-cloud-vendor-lock-in-is-it-just-a-new-version-of-the-database-abstraction-layers) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Hosting a modern justice system](https://www.wearedevelopers.com/videos/332-hosting-a-modern-justice-system) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Tell if Something Was Written by ChatGPT](https://www.wearedevelopers.com/magazine/314-how-to-tell-if-something-was-written-by-chatgpt)