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Mistral AI

Open-weight LLMs and enterprise AI deployment

Vice President of Production Platform

Engineering LeadershipPosted on Nov 13
Full-timeÎle-de-France, FranceNo salary listedIn-person

About the Job

Requirements

  • Deep background in infrastructure, site reliability, or production engineering, beginning as a hands-on engineer.
  • Experience leading leaders, managing managers, and developing strong team leads.
  • Experience scaling an infrastructure or platform organization through rapid growth.
  • Track record of running production systems at scale, with measurable results in reliability or delivery speed.
  • Ability to set strategy in an ambiguous scope and translate it into execution.
  • Strong technical judgment in distributed systems, Kubernetes, cloud infrastructure, and continuous integration and continuous delivery.

Responsibilities

  • Lead the Production Platform organization through its Engineering Managers and develop those managers as leaders.
  • Set the strategy and roadmap for reliability, deployment, build and continuous integration, and the internal service framework.
  • Own the reliability of the production environment, including service-level objectives, on-call operations, incident management, and capacity.
  • Make delivery to SaaS, private cloud, and on-premise environments simple and dependable as a single deployment.
  • Improve engineering velocity across the company with fast, trusted continuous integration and safe deployments by default.
  • Give product teams strong defaults and ownership of their own services and tests.
  • Design the organization as it scales, including structure, hiring, on-call models, and processes.
  • Contribute to architecture and difficult technical decisions while remaining close to the systems.
  • Partner with Product Engineering, Research, and enterprise teams to align the platform with their needs.
  • Define and track metrics for reliability, delivery speed, and developer experience.

Desired Qualifications

  • Experience delivering software into customer environments, including on-premise, private cloud, or air-gapped environments.
  • Experience with AI infrastructure, such as model serving or GPU platforms.

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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