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Mistral AI

Open-weight LLMs and enterprise AI deployment

Head of Analyst Relations

PR & CommunicationsConfirmed live in the last 24 hours
Full-timeNo salary listedHybrid

About the Job

Requirements

  • At least 10 years of experience in Analyst Relations, Product Marketing, Communications, or related functions within technology companies.
  • A deep understanding of the analyst ecosystem and experience managing relationships with leading firms.
  • Experience supporting high-growth B2B technology or artificial intelligence organizations.
  • Demonstrated ability to influence stakeholders across Marketing, Product, Sales, and Executive Leadership.
  • Ability to operate in a fast-paced, high-growth environment with a high degree of autonomy.

Responsibilities

  • Develop and execute Mistral's global Analyst Relations program.
  • Build trusted relationships with leading industry analysts across AI, cloud, infrastructure, and enterprise software.
  • Shape and influence analyst perceptions of Mistral's products, vision, and market position.
  • Lead analyst engagement programs, including briefings, inquiries, advisory sessions, and major report submissions.
  • Partner with Product Marketing to craft differentiated messaging and category narratives.
  • Drive participation in key analyst evaluations, including Magic Quadrants, Waves, Marketscapes, and other relevant reports.
  • Translate analyst insights into actionable recommendations for leadership, Product, Marketing, and Sales teams.
  • Establish KPIs and reporting mechanisms to measure the impact of Analyst Relations across awareness, perception, and commercial outcomes.
  • Build and scale the Analyst Relations function as Mistral continues its global expansion.

Desired Qualifications

  • Experience in Analyst Relations and other marketing or product disciplines is preferred.

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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