Product Manager, Forge

Mistral; Paris; Hybride; EUR 110 000 - 160 000; Plein temps

Résumé du poste

Mistral is seeking a talented Product Manager to define and execute the Forge product strategy, enabling customers to build, fine-tune and deploy AI models at scale. You will work with applied AI scientists and research engineers to translate frontier techniques into scalable solutions that deliver real business value.

Based in Europe (Paris or London), the role requires 5+ years in product management within AI/ML or infrastructure, with a proven ability to lead cross-functional teams and drive

Qualifications

• 5+ years of PM experience in AI/ML or infrastructure domains.
• Experience leading 0–1 AI products from concept to scale.
• Ability to translate research into enterprise-ready features.

Responsabilités

• Define Forge product vision and strategy aligned with company goals.
• Drive end-to-end development, from ideation to launch and iteration.
• Collaborate with design, research, marketing, and sales to drive adoption.

Connaissances

Product management

Strategy

UX research

Cross-functional

Roadmapping

Outils

Kubernetes

Slurm

IaC

Containerization

Deployment automation

Description du poste

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.

Role summary

We are seeking a talented and experienced product manager to define and execute the strategy for Forge, our product that enables customers to build, fine-tune and deploy custom AI models at scale. Forge turns cutting-edge research into enterprise-ready capabilities by powering model fine-tuning, reinforcement learning and post-training workflows. By working at the intersection of research and product it provides customers with the tools to train specialized models that deliver real-world business value. In close collaboration with our applied AI scientists and research engineers you will translate frontier techniques into scalable and reliable solutions that industries can confidently adopt to customize and operate their AI systems. As the PM leading Forge you will shape a 0-1 product with significant business impact and the potential to grow offering while defining how organizations train and deploy the next generation of AI models.

Location

Office: Paris, France / London, UK

This role is based in one of our European offices (Paris, France and London, UK). We will only consider candidates who either reside or are open to relocating there. We strongly believe in the value of in-person collaboration and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication. Our remote policy aims to provide flexibility, improve work-life balance and increase productivity.

What you will do

Define the Future

• Set the vision: Shape and evangelize a compelling product strategy for Forge ensuring alignment with company goals and market opportunities.
• Spot the gaps: Lead market and UX research to uncover unmet needs, competitive whitespaces, and emerging trends in SOTA AI post-training capabilities.

Build & Ship

• Own the lifecycle: Drive end-to-end product development, from ideation to launch and iteration—balancing speed, quality, and user delight.
• Champion the user: Partner with design and research to craft intuitive, high-impact experiences, using data and feedback to refine continuously.

Scale, Execute, & Enable

• Go-to-market: Collaborate with marketing and sales to launch products successfully, including pricing, positioning, and adoption strategies.
• Align stakeholders: Rally engineering, design, and business teams around priorities, trade-offs, and timelines.
• Prioritize ruthlessly: Maintain a dynamic roadmap that delivers quick wins while advancing long-term bets.

Required Qualifications

Product Management Experience

5+ years of relevant experience in new, competitive, fast-paced and ambiguous environments with a track record of building and scaling complex AI/ML or infrastructure solutions

Technical skills

• Very good understanding of training pipelines, RL loops, and model deployment architectures,
• Expertise in AI model lifecycle management, including fine-tuning, evaluation, and serving.
• Experience with Infrastructure as Code (IaC), containerization, and scalable deployment modes (e.g., on-prem, VPC, cloud). Familiarity with Kubernetes/Slurm is a strong plus.

User obsession

Relentless focus on solving real user problems, backed by data and qualitative insights.

Cross-functional influence

Proven ability to align and inspire engineering, design, and go-to-market teams without direct authority.

Problem-solving

Balance big-picture thinking with hands-on problem-solving — you’re equally comfortable crafting a roadmap, diving into metrics and running technical tests.

Communication

Crisp, persuasive storytelling for executives, teams, and users — ability to distill complex technical concepts (e.g., RL, LoRA, SFT) into clear narratives for docs, decks, and workshops.

Adaptability

Thrive in high-velocity, dynamic settings where priorities shift quickly.

Collaboration

Low ego + high EQ — you build trust and drive decisions through clarity, not hierarchy.

Autonomy

Self-directed with a bias for action, you own outcomes end-to-end.

Now, it would be ideal if you have:

Infrastructure knowledge

• Strong knowledge of model training, model architectures, etc.
• Strong understanding how complex architectures are designed and impact of deployment modes
• Proficient coding skills are strongly recommended
• Kubernetes know-how strongly recommended

Growth mindset

Deep familiarity with product-led growth strategies (e.g., viral loops, onboarding optimization, monetization, etc.).

Builder’s mindset

Founder or early-stage PM experience — you’ve turned 0 → 1 ideas into products users love.

Technical depth

Ability to prototype, hack, or dive into code when needed.

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.

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