VP Product, Cloud & Inference

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.

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.

THE ROLE

Mistral is building a sovereign AI cloud. Our product surface is expanding fast - GPU clusters, compute orchestration, storage, networking, serverless containers, inference, and training.

We're hiring a VP Product to own our cloud infrastructure and inference portfolio end to end: the foundational systems that power Mistral's datacenters, and the inference platform that brings the world's most advanced generative AI models to production.

This is a broad mandate. You'll own both scopes and, as the business scales, build the organization and stream leadership to delegate them. You'll define the vision, hire and grow the team, and set the operating rhythm that lets a fast-moving org deliver with focus. This is a highly visible role with the opportunity to shape how Mistral's technology is adopted globally and to unlock a major new line of business.

WHAT YOU'LL DO

- Strategy & vision Define and evangelize the product vision, strategy, and annual goals for our Inference and Cloud products, aligned with customer needs, company objectives and market trends. - Go-to-market Own adoption, revenue contribution, and gross margin. Partner with marketing and GTM teams on positioning, pricing and packaging, launch plans, and adoption strategy. - Team leadership Build the product organization for these products: hire product managers and stream leads, set the operating cadence (quarterly product reviews, roadmap reviews), and develop PMs through clear growth paths. - Customer & market fit Work directly with AI-native startups and enterprises running advanced AI workloads to drive product–market fit across the portfolio. - Delivery & execution Partner with engineering leadership to build a world-class compute infrastructure and inference platform delivering high-performance, cost-efficient AI at scale, with reliability, SLAs, and cost-per-token economics as first-class product concerns. - Market & technology insights Track the competitive landscape and emerging technologies across AI infrastructure and managed inference to inform product strategy and identify new opportunities - Research & open source Partner with research and engineering teams to turn emerging model architectures and advances in open-source inference into product opportunities that improve performance and efficiency