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Mistral AI

Open-weight LLMs and enterprise AI deployment

Talent Acquisition Specialist

Generalist RecruitingConfirmed live in the last 24 hours
ContractNo salary listedRemote

About the Job

Requirements

  • Experience recruiting for both business and technical positions, ideally within the enterprise software sector.
  • At least four years of experience in recruiting, including outbound search.
  • Experience hiring in highly competitive talent markets.
  • Ability to operate independently and quickly learn new roles, markets, and processes.
  • Ability to communicate effectively and influence hiring managers and senior stakeholders.
  • Attention to detail, accountability, and the ability to deliver on hiring targets.
  • Ability to move between strategic planning and hands-on recruiting tasks.
  • Experience with Ashby or similar recruiting tools.

Responsibilities

  • Manage the end-to-end recruiting process to create a seamless experience for candidates and hiring teams.
  • Develop and implement search strategies for business, corporate, and technical roles.
  • Partner with stakeholders to define hiring needs and sourcing plans.
  • Identify, engage, and guide candidates throughout the interview and offer process.
  • Analyze hiring data and processes to find and address root causes or inefficiencies.
  • Recommend and drive improvements in recruiting processes, documentation, and tools.
  • Advise candidates on closing strategies to ensure high acceptance rates.
  • Contribute to ongoing refinements in hiring systems and approaches.

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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