Vice President Product
Mistral AI
Vice President Product
Mistral AI
Open-weight LLMs and enterprise AI deployment
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.
Mistral is building a sovereign AI cloud. Frontier models, developer tools, and now the compute to run them: the cloud is where Mistral's strategy comes together. Our customers in finance, healthcare, and the public sector run frontier models on our infrastructure, and the Cloud & Inference product team owns the products that make that possible: managed Kubernetes and GPU clusters, the pay-as-you-go inference APIs for our first-party models, and the fast-growing set of services around them.
The portfolio runs on our own metal, in our own datacenters, backed by our own model research: the full stack under one roof. We are scaling toward a gigawatt of compute by 2030. Every layer of that build needs a product behind it: orchestration, storage, networking, serverless containers, training, and inference.
The product team is small and the mandate is company-sized. As VP Product you will build the PM org this portfolio needs, set its strategy, and carry it to market with the GTM, marketing, and partnerships teams. The products you define are how Mistral's sovereign AI strategy meets its customers.
We are hiring a VP of Product to own our cloud and inference portfolio end to end: the foundational systems that power Mistral's data centres, and the inference platform that brings the world's most advanced generative AI models to production. You will define the vision and strategy, and you will own the business results: adoption, revenue contribution, and gross margin.
This is a broad mandate. You will build the product organisation and, as the business scales, bring in the stream leadership to delegate its parts. You will set the operating rhythm that lets a fast-moving org deliver with focus, and your remit grows with the portfolio: what you run hands-on in year one, you lead through others as the org grows.
The portfolio runs in production today. The job ahead of you is the scale-up: a gigawatt of compute to fill, a product surface that keeps expanding, and a major new line of business to build on the foundation already in place. This is a highly visible role, with the opportunity to shape how Mistral's technology is adopted globally.
Strategy & vision. Define and evangelise the product vision, strategy, and annual goals for our Cloud and Inference 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.
Extensive experience in tech and infrastructure, including significant time leading product organisations with a proven track record of bringing cloud infrastructure, large-scale distributed systems, or inference products to market.
You've scaled a cloud or inference product line to $1B+ in revenue: built the line, priced it, taken it to market, and owned the number.
Engineering background prior to moving into product management.
Proven people leadership: you've hired and developed senior PMs, grown the leaders under you, organised teams around clear stream ownership, and built durable operating cadences.
Fluency in the economics of the business: comfortable owning gross margin, unit economics, and the tradeoffs behind pricing and capacity.
Ability to align and inspire cross-functional teams without direct authority, and to communicate credibly with executives, engineers, and customers.
Low ego, high bias for action, comfort in ambiguity, and hands-on by instinct. We are scrappy: you write the strategy memo, then dig into the pricing model, the product spec, or the customer escalation yourself.
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
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Open-weight LLMs and enterprise AI deployment
Mistral AI builds open-weight large language models and the tools to run them, along with inference infrastructure and enterprise products that let organizations deploy AI with control over data residency, customization, and the underlying stack. Its platform provides open-model architectures and a deployment stack for inference, governance, and integration that can run on‑premises or in the cloud. This openness and modular stack differentiate it from single-vendor hyperscalers by prioritizing data locality and flexibility. The company aims to enable reliable, customizable AI deployment at scale for businesses and public-sector customers across many countries.
Explore more opportunities at Mistral AI