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Mistral AI

Open-weight LLMs and enterprise AI deployment

Learning & Development Lead

Learning & DevelopmentConfirmed live in the last 24 hours
Full-timeÎle-de-France, FranceNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of human resources experience, including significant experience in technology start-ups or high-growth companies.
  • Ability to build and manage learning and development functions across multiple countries.
  • Experience implementing and managing Learning Management Systems.
  • Experience designing training programs for various teams and roles.
  • Knowledge of instructional design and adult learning theory.
  • Strong communication, influence, and stakeholder management skills.
  • Strong analytical and problem-solving skills.
  • Ability to adapt, work without clear structure, and turn strategy into action.

Responsibilities

  • Develop and deliver a learning and development strategy aligned with company objectives.
  • Assess and prioritize skill gaps to inform training initiatives.
  • Design and implement onboarding, upskilling, and reskilling programs.
  • Build scalable learning paths for key roles and career growth.
  • Source and curate external content and partnerships to supplement internal offerings.
  • Collaborate with leaders to identify high-potential employees and create development plans.
  • Select, configure, and roll out a Learning Management System, ensuring adoption and alignment with human resources and information technology systems.
  • Establish metrics and regularly measure learning and development impact on organizational performance.

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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