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Mistral AI

Open-weight LLMs and enterprise AI deployment

Head of FDE Learning Programs

Learning & DevelopmentConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Experience building a learning, enablement, or capability function for a technical organization during rapid growth.
  • Technical fluency sufficient to work credibly with artificial intelligence engineers, Product, and Science, inspect program substance, and challenge unclear or outdated material.
  • Experience designing programs across cohorts, regions, and experience levels without reducing the content to generic training.
  • Ability to lead work across senior stakeholders, subject-matter experts, managers, and operational partners without relying on reporting lines.
  • Ability to make firm trade-offs when hiring demand, expert capacity, and program quality compete for attention.
  • Attention to the full learner experience, including communications, scheduling, practice, feedback, and manager follow-through.
  • Ability to use evidence to decide which programs to expand, revise, or stop.
  • Ability to communicate clearly with executives, managers, technical experts, and learners.
  • Fluency in English and ability to work with teams across regions and time zones.

Responsibilities

  • Build practical learning across technical skills, strategic and business capabilities, and product enablement.
  • Build a clear onboarding path from a new hire’s first week to independent customer work.
  • Turn new products, research, and field methods into practical technical training for customer work.
  • Empower client-facing FDE teams to drive business and strategic discussions and prepare for large customer partnership programs.
  • Own the roadmap, curriculum, contributor model, regional delivery, tools, measurement, and central team.
  • Launch useful programs and adapt them for larger cohorts without making the content generic or relying on a small group of experts.
  • Launch the first programs, build a network of instructors, and hire the team needed to support several hundred FDEs.
  • Work with functional managers, Product, Engineering, Science, People, GTM Enablement, DevRel, and regional leaders.
  • 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.
  • Keep internal resources up to date and push them to the right stakeholders using a knowledge management approach.

Desired Qualifications

  • Experience scaling a one-person or small learning function into a team and program serving hundreds of technical employees.
  • Experience building onboarding that kept pace with rapid hiring in an engineering, FDE, solutions, consulting, or professional-services organization.
  • Experience designing and operating technical bootcamps or other cohort-based learning programs.
  • Experience in technical DevRel, developer education, or a related role centered on demos, code examples, workshops, and practitioner communities.
  • Experience building role- and level-based curricula connected to skills frameworks or career progression.
  • Experience managing a global program with contributors and learners across multiple regions.
  • Experience working closely with Product, Engineering, Science, People, and customer-facing teams.
  • Experience designing practical assessments, readiness standards, or certification where appropriate.
  • Experience using learning platforms, knowledge systems, artificial intelligence coaches, or program-operations tooling.
  • Experience working in artificial intelligence/machine learning or another technically complex and fast-changing field.

About the Company

Mistral AI

Open-weight LLMs and enterprise AI deployment

Mistral AI builds open-weight large language models and the tools to run them, along with inference infrastructure and enterprise products that let organizations deploy AI with control over data residency, customization, and the underlying stack. Its platform provides open-model architectures and a deployment stack for inference, governance, and integration that can run on‑premises or in the cloud. This openness and modular stack differentiate it from single-vendor hyperscalers by prioritizing data locality and flexibility. The company aims to enable reliable, customizable AI deployment at scale for businesses and public-sector customers across many countries.

Company size
1,001-5,000
Company stage
Series D
Total funding
$7.2B
Headquarters
Paris, France
Founded
2023

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