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Mistral AI

Open-weight LLMs and enterprise AI deployment

Engineering Manager - Partnerships

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNew York, NY, USANo salary listedHybrid

About the Job

Requirements

  • Experience building and managing engineering teams.
  • Proficiency in Python and at least one web framework, such as FastAPI, Django, or Flask.
  • Proficiency in C#, Golang, TypeScript, and at least one web framework.
  • Experience with large-scale distributed systems.
  • Experience working with cross-functional teams, such as Product, Design, and Business.
  • Ability to own and ship products end-to-end.

Responsibilities

  • Remove obstacles and create an environment where the team can focus on building solutions.
  • Own the company's most critical partnerships and the work required to make them successful.
  • Translate product vision into technical reality in close collaboration with the Product team.
  • Ensure applications are performant, stable, and responsive.
  • Uphold code quality standards through reviews, testing, and automation.
  • Own the full software development process, from design to deployment.
  • Plan projects, including roadmaps, deadlines, and task allocation.
  • Collaborate with stakeholders across Engineering, Product, Design, and partner organizations.
  • Support team growth through hiring, onboarding, and mentorship.
  • Build the partnership engineering organization and a new team dedicated to technically complex partner work, turning that work into repeatable product features.
  • Scale the team as it grows, prioritize and support work, and build a healthy team culture.

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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