Engineering Team Lead, Mistral AI
Cloud Deployments
+ Equity
More information about location
Generative AI model developers
Open for applications
Generative AI model developers
501-1000 employees
Open for applications
+ Equity
More information about location
501-1000 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- 7+ years of relevant professional experience, with a track record of leading technical teams in complex infrastructure environments
- 2+ years of experience managing and leading teams with a proven ability to build teams, set roadmaps, and align objectives with business goals
- Strong proficiency in backend development (Python ideally, or Go, Kotlin, Scala, Java, etc.,) and experience with complex, distributed systems
- Deep knowledge of cloud ecosystems (AWS, GCP, Azure), containerization (Docker), and orchestration (K8s, Helm, Terraform)
- Ability to work with product, engineering, and business teams, as well as external partners
- Ability to communicate with influence
What the job involves
- We are seeking an experienced Team Lead, Software Engineer to join our Cloud Deployments team
- In this role, you will lead a new team dedicated to deepening and expanding our integration with major cloud providers, ensuring seamless, native, and scalable deployment of our AI products (AI Studio, APIs, SDKs, etc.) within their ecosystems
- You will work closely with hyperscalers engineering teams, internal stakeholders (science, product, program management), and external partners to define standards, build integrations, and automate deployment workflows
- This is a highly visible role with the opportunity to shape how Mistral’s technology is adopted globally and influence cloud providers’ roadmaps
- Lead Cloud Provider Integrations: Drive the technical strategy and execution for integrating Mistral’s products (AI Studio, APIs, SDKs) natively into cloud provider ecosystems (Azure, AWS, GCP, etc.), starting with Azure
- Build a Factory for Scalable Integrations: Develop a repeatable, automated framework to onboard new cloud providers quickly, reducing friction for both customers and internal teams
- Collaborate with Hyperscalers: Partner with cloud providers’ engineering teams to define interfaces, standards, and best practices for AI model deployment and integration
- Enable Smooth Customer Onboarding: Ensure customers can onboard Mistral’s AI Studio suite directly from cloud providers’ platforms, with a focus on simplicity, reliability, and performance
- Cross-functional Leadership: Work with internal teams (Deployment Platform, Product Engineering, Solutions Architecture) and external stakeholders to align on roadmaps, timelines, and technical trade-offs
- Automate and Optimize: Build tooling and processes to automate packaging, deployment, and monitoring of Mistral’s products across cloud environments, reducing cognitive load for Product Engineering teams
- Technical Advocacy: Represent Mistral in technical discussions with cloud providers, influencing their roadmaps and ensuring our products are optimized for their platforms
- Team Building: Grow and mentor a high-performing team of 5-6 engineers, fostering a culture of platform thinking, automation, and collaboration
Our take
Founded by Facebook AI researchers, Mistral AI focuses on developing open-source generative AI models to "make AI useful." It emerged in early 2023, quickly achieving a $260 million valuation.
Mistral features up to 176 billion parameters, and its open-source nature has sparked concerns about potential misuse. However, Mistral remains a formidable competitor in the AI landscape, challenging models from Google and Meta.
In 2025, Mistral secured a massive €1.7 billion funding round, raising its valuation to €11.7 billion. This Series B funding, led by European chip firm ASML, underscores significant interest in alternatives to ChatGPT and a push away from Silicon Valley dependence by European AI competitors.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 5 rounds)
Sep 2025
$2.0bn
SERIES C
Jun 2024
$546.3m
SERIES B
Total funding: $3.1bn
Company benefits
- Competitive bonus structure
- Equity
- Opportunities for professional growth and development
Company HQ
Villette, Paris, France
Leadership
Timothee Lacroix
(Co-Founder & CTO)Previously PhD and Software Engineer Intern at Facebook and Visiting Undergraduate at CAlab UCSD
Guillaume Lample
(Co-Founder & Chief Scientist)Research Student and Scientist at Facebook AI and Research Intern at Jane Street Capital
Arthur Mensch
(Co-Founder & CEO)Previously Staff Research Scientist at DeepMind, Post-doc researcher at École normale supérieure, Visiting Researcher at NYU Courant Institute of Mathematical Sciences and PhD Student at Inria
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