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Founder in Residence, Open Application for Founders
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About the position
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life, democratizing AI through high-performance, open-source models, products, and solutions. Our comprehensive AI platform meets enterprise needs, whether on-premises or in the cloud, and includes tools like Le Chat, La Plateforme, and Mistral Compute. 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 across France, the USA, the UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. You built something from nothing. Do it again, within the best frontier AI company in Europe. This is not a job description. It’s an open invitation for people who have founded, co-founded, or led a company and want to deploy Europe’s most advanced AI models inside the enterprises that need them most. We’re not asking for a perfect resume. We’re asking whether you’ve built something real, with real users, real problems, and real constraints.
Responsibilities
Own a portfolio of enterprise clients and act as their primary point of contact, working as a co-builder with them.
Identify the highest-impact use cases, structure the deployment, and unblock friction.
Bridge the gap between what our models can do and what the client needs to solve.
Feed signal back to product and research, acting as the eyes and ears on the ground.
Requirements
Have founded or co-founded a company, no matter the size or sector or if it’s still running.
Have sold a product to customers, built a team, or raised money. You know what “skin in the game” means.
Can talk to a CEO in the morning and debug a pipeline in the afternoon or at least know who to call to get it done.
Are comfortable with ambiguity. You won’t be handed a 50-page playbook; you’ll be handed a client and an objective.
Have genuine curiosity about AI. You don’t need to have trained a model, but you need to understand what this technology is and why it changes everything.
Nice-to-haves
Deployment Strategist (usually ex‑CEO/COO or a BD/Sales founder): Focused on deployment strategy, the business case, C‑level adoption, and expanding accounts. Delivers executive workshops, adoption roadmaps, and ROI proposals.
Applied AI Engineer (usually an ex‑CTO, technical founder, or lead engineer): Focused on integration architecture, fine‑tuning, RAG/agents, and production deployment. Delivers prototypes, deployment pipelines, client code, and open‑source contributions.
