---
title: 'Head of FDE Learning Programs at Mistral'
canonical: 'https://feeny.ai/job/head-of-fde-learning-programs-mistral-paris-ms0wty9h92te'
type: 'job'
last_seen: '2026-11-08'
---

# Head of FDE Learning Programs at Mistral

- **Company:** [Mistral](https://feeny.ai/companies/mistral)
- **Location:** Paris, France
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-24
- **Last confirmed live:** 2026-11-08
- **Apply:** https://jobs.ashbyhq.com/mistral.ai/416a4800-33ea-4491-852e-7fba887f2f35

## 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.

## About the job

Mistral is hiring a Head of FDE Learning Programs to build the learning system for one of the company’s fastest-growing organizations. Mistral is scaling its FDE organization from its first hire to several hundred Deployment Strategists and Applied AI Engineers within two years. Your mandate is to make capability grow as fast as headcount without lowering the bar for customer work. You will own:

- Learning content: Build practical learning across three areas: technical skills, strategic and business capabilities, and product enablement.
- Onboarding: Build a clear path from a new hire’s first week to independent customer work.
- Technical bootcamps: Turn new products, research, and field methods into practical training for customer work.
- Strategic bootcamps: Empower client-facing teams of FDEs to drive business and strategic discussions and to set up for success large partnership programs with customers
- Program ownership: Own the roadmap, curriculum, contributor model, regional delivery, tools, measurement, and central team.
- Scaling: Launch useful programs now, then adapt them for larger cohorts without making the content generic or relying on a small group of experts.
- Team building: Launch the first programs, build a network of instructors, and hire the team needed to support several hundred FDEs.
- Cross-functional work: Work with functional managers, Product, Engineering, Science, People, GTM Enablement, DevRel, and regional leaders.
- Readiness standards: Ensure FDEs in every region meet the same standard, can find current material, learn from recent customer work, and understand expectations at the next career level.
- Knowledge structuration: Ensure internal resources are up to date and pushed to the right stakeholders with a knowledge management approach.

## How We Work in Solutions

- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.

## About you

You have helped build a learning, enablement, or capability function for a technical organization during rapid growth. You can start as the first dedicated owner, deliver useful programs immediately, and build the team and operating model needed to serve several hundred people.

- You are technically fluent enough to work credibly with AI engineers, Product, and Science, inspect the substance of a program, and challenge material that is unclear or outdated.
- You have designed programs that work across cohorts, regions, and experience levels without reducing the content to generic training.
- You can lead work across senior stakeholders, subject-matter experts, managers, and operational partners without relying on reporting lines.
- You can make firm trade-offs when hiring demand, expert capacity, and program quality compete for attention.
- You pay attention to the full learner experience, including communications, scheduling, practice, feedback, and manager follow-through.
- You use evidence to decide which programs to expand, revise, or stop.
- You communicate clearly with executives, managers, technical experts, and learners.
- You are fluent in English and can work with teams across regions and time zones.

Ideally, you have

- Scaled a one-person or small learning function into a team and program that served hundreds of technical employees.
- Built onboarding that kept pace with rapid hiring in an engineering, FDE, solutions, consulting, or professional-services organization.
- Designed and operated technical bootcamps or other cohort-based learning programs.
- Worked in technical DevRel, developer education, or a related role built around demos, code examples, workshops, and practitioner communities.
- Built role- and level-based curricula connected to skills frameworks or career progression.
- Managed a global program with contributors and learners across multiple regions.
- Worked closely with Product, Engineering, Science, People, and customer-facing teams.
- Designed practical assessments, readiness standards, or certification where appropriate.
- Used learning platforms, knowledge systems, AI coaches, or program-operations tooling.
- Worked in AI/ML or another technically complex and fast-changing field.

## Why this role matters

Mistral is compressing years of organization growth into two. An FDE organization of several hundred people cannot depend on manager-by-manager onboarding, one-off sessions, and informal access to experts. If learning capacity trails hiring, ramp times would lengthen, standards would diverge, and teams would repeat the same mistakes across regions. This role will build the programs, teaching network, and systems at the same pace as the organization. Two years from now, success would mean several hundred Deployment Strategists and Applied AI Engineers working from shared standards, learning new capabilities quickly, and improving the system with evidence from customer work.

## 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](https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link).

Privacy Policy 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).

## About Mistral

## Company Overview
- **One-liner**: Mistral is a French AI company building open, frontier-grade large language models, developer platforms, and applied AI solutions for enterprises and governments.
- **Entity Type**: Private (Series C)
- **Headquarters**: Paris, France (15 rue des Halles)
- **Founded**: April 2023
- **Founders**: Arthur Mensch (CEO), Guillaume Lample (Chief Science Officer), Timothée Lacroix (CTO)

## Core Business
- **Primary industry/industries**: Artificial Intelligence, Large Language Models, Enterprise AI Software
- **Target customers**: B2B, Enterprise, Government, and Developers (B2D)
- **Mission or purpose statement**: "To make frontier AI open to all, and together solve the world's hardest problems."

## Products & Services
- **Mistral Large**: Frontier-grade large language model for complex reasoning and enterprise tasks.
- **Mistral Small 3**: Efficient, lightweight model for cost-sensitive deployments.
- **Mistral Code / Vibe**: AI agent for long-horizon, autonomous software development and task completion.
- **Le Chat**: Consumer-facing AI assistant and chatbot.
- **Mistral OCR 4**: State-of-the-art document intelligence model for extracting and understanding text from images and PDFs.
- **Mistral Forge**: Custom model development service for training, aligning, and evaluating proprietary AI models on private data.
- **Mistral Studio**: Platform for building, testing, and running AI agents and applications with full control.
- **Mistral Compute**: Infrastructure and orchestration platform for frontier-scale training and inference (edge to cloud).
- **Mistral Search Toolkit**: Tools for integrating search and retrieval into AI applications.
- **Voxtral**: Voice AI model for speech-based interactions.

## Market Standing
- **Valuation/Market Cap**: $4.016 billion (latest reported valuation, per CB Insights; date not specified but likely post-Series C)
- **Key Metric**: Total funding raised across Seed, Series A, Series B, and Series C rounds (specific amounts not disclosed in search results).
- **Notable Investors/Partners**: Not explicitly named in search results, but the company partners with organizations in finance, manufacturing, defense, energy, and the public sector.
- **Growth Signals**: 
  - Rapid scaling: 900+ employees across 30+ nationalities as of mid-2026.
  - 50% of leadership roles held by women.
  - Key product launches on a near-monthly cadence (e.g., Mistral OCR, Forge, Vibe, Compute, Search Toolkit, Voxtral).
  - Strong presence in high-stakes, regulated industries (defense, energy, public sector).

## Competitive Advantages
- **Open-source DNA**: Commitment to openness, transparency, and cost efficiency differentiates Mistral from closed, Big Tech AI labs.
- **Full-stack ownership**: Controls the entire stack from frontier models to developer tools, applications, and compute infrastructure, enabling deep customization and reliability.
- **European leadership**: Positioned as a sovereign, European AI champion, appealing to governments and enterprises seeking data control and regulatory compliance.
- **Speed and rigor**: Culture of rapid experimentation, iteration, and data-driven decision-making.

## Strategic Focus
- **Enterprise and government partnerships**: Co-creating tailored AI systems for mission-critical use cases in finance, manufacturing, defense, energy, and public sector.
- **Open platform ecosystem**: Expanding Mistral Studio and Forge to enable customers to build custom models and agents on their own data.
- **Infrastructure as a product**: Commercializing Mistral Compute to become a platform for others to train and run AI workloads.
- **Continuous model innovation**: Releasing new frontier models and capabilities (OCR, voice, code agents) at a rapid pace.

## Why Work Here
- **Culture**: Flat structure, high ownership, low ego, and a "builders, not order takers" mentality. The company values audacity, speed, rigor, and customer centricity.
- **Remote/Hybrid/Office**: Based in Paris (15 rue des Halles); relocation support and visa sponsorship offered. Specific remote/hybrid policy not detailed, but global team suggests flexibility.
- **Notable perks and benefits** (from careers page):
  - 20 weeks paid parental leave for all birthing parents.
  - 100% employer-sponsored medical, dental, and vision coverage for employees and dependents.
  - 6% 401k match (US) / 5% pension contribution (UK).
  - Childcare support (reserved daycare seats or financial assistance).
  - Meal allowances and transportation support.
  - Fitness and wellness subsidies.
  - Relocation and settling-in services.
  - Financial and career planning support.
- **Team composition**: 900+ employees from 30+ nationalities; 50% female leaders.
- **Interview process**: For science, product, and engineering roles: intro conversation → 2-5 technical exercises → 1-3 interviews (hiring manager + teammates) → values conversation → reference checks.

## Sources
1. [Mistral AI - About Page](https://mistral.ai/about/)
2. [Mistral AI - Careers Page](https://mistral.ai/careers/)
3. [Mistral AI - Homepage](https://mistral.ai/)
4. [CB Insights - Mistral AI Company Profile](https://www.cbinsights.com/company/mistral-ai)
5. [Mistral AI - LinkedIn](https://www.linkedin.com/company/mistralai)

## Other roles at Mistral

- [AI Scientist Intern - (Internship, Masters or Phd)](https://feeny.ai/job/ai-scientist-intern-internship-masters-or-phd-mistral-paris-43jzbe0kx4mv) — Paris, France
- [Engineering Manager, Serverless Containers](https://feeny.ai/job/engineering-manager-serverless-containers-mistral-paris-m06we4kkhq7s) — Paris, France
- [Engineering Manager, Fleet Delivery](https://feeny.ai/job/engineering-manager-fleet-delivery-mistral-paris-zsspnkk7y0k5) — Paris, France
- [Engineering Manager, Storage](https://feeny.ai/job/engineering-manager-storage-mistral-paris-ekf23bqg33ar) — Paris, France
- [Engineering Manager, Sandbox](https://feeny.ai/job/engineering-manager-sandbox-mistral-paris-5wx65405emb2) — Paris, France
- [Senior Engineering Manager, IaaS](https://feeny.ai/job/senior-engineering-manager-iaas-mistral-paris-n545rbk6r28j) — Paris, France
- [Forward Software Engineer](https://feeny.ai/job/forward-software-engineer-mistral-paris-gp4fe2vxk8pe) — Paris, France
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- [Network Development Engineer, WAN & Edge](https://feeny.ai/job/network-development-engineer-wan-edge-mistral-paris-bb54t43jf8db) — Paris, France
- [Network Development Engineer, Data Center Fabrics](https://feeny.ai/job/network-development-engineer-data-center-fabrics-mistral-paris-3sgd968rfyhv) — Paris, France