Job description

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 WHAT WE'RE LOOKING FOR - Extensive experience in tech and infrastructure, including significant time leading product organizations with a proven track record of bringing cloud infrastructure, large-scale distributed systems, or inference products to market. - Engineering background prior to moving into product management - You've taken an infra or inference product from early stage to material revenue and adoption. - Proven people leadership: you've hired and grown senior PMs, organized 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, and comfort in ambiguity — equally at home crafting a strategy narrative and diving into metrics, a UX detail, or a customer escalation. WHAT WE OFFER 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 app.notion.com. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy legal.mistral.ai.

Requirements

Must-haves

Mistral is building a sovereign AI cloud. Our product surface is expanding fast - GPU clusters, compute orchestration, storage, networking, serverless containers, inference, and training.
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.
Customer & market fit Work directly with AI-native startups and enterprises running advanced AI workloads to drive product–market fit across the portfolio.
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
Engineering background prior to moving into product management
You've taken an infra or inference product from early stage to material revenue and adoption.
Proven people leadership: you've hired and grown senior PMs, organized 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, and comfort in ambiguity — equally at home crafting a strategy narrative and diving into metrics, a UX detail, or a customer escalation.
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

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aigo

Platform: ashby
Effort: quick

Benefits

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Vision

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