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Mistral AI

Open-weight LLMs and enterprise AI deployment

Engineering Manager - Sandbox

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • At least 3 years of people leadership, including managing engineers, hiring, coaching, giving honest feedback, and growing them.
  • Deep knowledge of Linux internals, including namespaces, cgroups, seccomp, and virtualization; experience with microVMs such as Firecracker is ideal.
  • Experience shipping production systems in Go.
  • Understanding of network isolation at the packet level, beyond firewall rules.
  • Performance profiling experience and understanding of syscall costs.
  • At least 8 years building backend or infrastructure systems.
  • Experience partnering with product, design, and business teams to ship software that reached users.

Responsibilities

  • Build the isolation layer using microVMs or containers, namespaces, cgroups, seccomp, and snapshot-and-restore capabilities.
  • Own the security boundary to make it safe for customers to run untrusted code.
  • Scale environments to fleets of thousands of concurrent instances, optimizing creation latency, density, and lifecycle management.
  • Design and build alongside the team, owning architecture and the hardest implementation decisions.
  • Develop engineers, set ownership standards, and coach people beyond their comfort zones.
  • Own people management for the team, including hiring, performance, growth paths, and honest feedback.
  • Partner with Product Managers to turn frontier research needs into shippable primitives.

Desired Qualifications

  • Experience with microVMs of the Firecracker class.

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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