# Product Manager, Forge

**Company**: Mistral AI
**Location**: Paris
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q119718658

**Apply**: https://jobs.lever.co/mistral/11087966-f183-44b1-adc9-3a400c1f52ad
**Canonical**: https://yubhub.co/jobs/job_882eb269-37e

## Description

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.

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.

**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.

## Skills

### Required
- training pipelines
- RL loops
- model deployment architectures
- AI model lifecycle management
- fine-tuning
- evaluation
- serving
- Infrastructure as Code (IaC)
- containerization
- scalable deployment modes
- Kubernetes/Slurm