Engineering Manager

Mistral AI Mistral AI · AI Frontier · Paris, France · Engineering & Infra

Engineering Manager to lead product engineering teams, focusing on building scalable systems, bridging product and technology, and ensuring high-quality delivery of AI platform and products. The role requires hands-on technical leadership and people management.

What you'd actually do

  1. Act as the clear point of contact for your team and its projects. Remove obstacles, unblock execution and create an environment where engineers can focus on building impactful high-quality products.
  2. Own the delivery of your team’s roadmap and ensure projects are shipped with the right level of quality reliability and performance. Keep the team accountable for results and maintain strong execution momentum.
  3. Partner closely with Product Managers to define the roadmap and priorities of your team. Scope initiatives, estimate engineering effort and drive prioritization decisions based on business and technical impact. Keep the whole team involved and engaged in the product direction.
  4. Stay deeply involved in architecture design, system design, coding, peer reviews and technical decision-making. Lead by example and remain connected to the day-to-day challenges of the team.
  5. Define and evolve team processes, best practices and execution rituals with the team. Ensure they remain relevant as the team and product scale.

Skills

Required

  • 5+ years of relevant professional work experience
  • Master’s degree in Computer Science, Information Technology or a related field
  • Proficiency in one of the following language : Python, JavaScript/TypeScript, C#, Golang
  • Experience with building and leading high-performing teams
  • Experience with working with cross functional teams like product, design, business, etc.
  • Experience with project management and planning
  • Ownership and capacity to ship products end-to-end
  • Strong problem-solving abilities and attention to detail
  • Excellent communication skills

Nice to have

  • Platform & DX products (API, SDK, Tooling, Observability, Billing, etc.)
  • AI/ML/MLOps engineering

What the JD emphasized

  • mission-critical systems
  • production-grade systems
  • ship products end-to-end

Other signals

  • leading high-performing engineering teams
  • building scalable, high-impact systems
  • shipping products that matter
  • turning cutting-edge AI research into reliable production-grade systems