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Product Director, Cloud & Inference

Hybrid in London·Full-time·Added today (last checked 12 Oct)

Mistral AI

69 open roles

Overview

Job details

  • Full-time

    Per the ad.

  • Hybrid

    Office and home days — the ad has the split.

Requirements

  • Be near London for hybrid days

    No relocation package mentioned.

Skills

The role

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 Product Director 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.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

Hiring process

3 steps3 interviews
  1. Intro conversation

    With a recruiter or hiring manager

    Understand your background, interests and expectations.

  2. Role-specific interviews

    Interviews with the hiring manager and team plus a case exercise for GTM and corporate roles, or a series of technical exercises for science, product and engineering roles.

  3. Values conversation

    A final discussion on alignment with Mistral's values and ways of working.

  4. Reference checks

  • Reference checks are always conducted before an offer is extended.

About Mistral AI

Industry
AI
Founded
2023
Employees
100–500
Headquarters
Paris, France
Website
mistral.ai
All open roles at Mistral AI
Hybrid in London
Remote, London
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