Engineering Team Lead, Mistral AI
Storage
Relocation support available
Generative AI model developers
Be an early applicant
Generative AI model developers
501-1000 employees
Be an early applicant
Relocation support available
501-1000 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- 2+ years of real people leadership. You have managed engineers — hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write
- You have built storage systems — object, block, or distributed filesystems — not just operated them. You know what happens when a disk dies mid-write and when a rebalance collides with a backup window
- Deep distributed-systems fundamentals: durability, consistency, replication, erasure coding, failure domains
- You have shipped production systems in Go. Systems engineers coming from C++ or Rust who are ready to write Go daily should still talk to us
- You are comfortable with hardware reality: HDD, SSD, and NVMe tiers, and the economics of each
- 8+ years building backend or infrastructure systems
- You have partnered with product, design, and business teams to ship software that reached real users
- A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside
What the job involves
- This is a founding people-leadership role
- There is no team to inherit and no legacy to maintain — you build the team as well as the stack, and you are accountable for both from day one
- Early on you will be deliberately hands-on, because there is no one else to solve the hardest problems — but hiring your first engineers, coaching them, and setting their growth paths starts immediately, not later
- If you are looking for a senior IC role, this is not it
- You will be the founding Engineering Team Lead for storage on our cloud
- Block, filesystem, and object storage for training runs, sandboxed workloads, and general compute: you decide what we build, what we buy, and how it adds up to storage our customers can bet a business on
- Some layers we deploy and harden from best-in-class vendors
- The ones that matter most we write ourselves in Go — S3-compatible object storage, tiering, backup and recovery, caching layers that put cold data on cheap spinning disks
- As the team grows, the balance shifts toward people leadership, and you decide how fast
- You will own capacity planning across datacenters and the architecture that keeps data durable when disks, networks, and entire sites fail
- Storage is a strategic bet for this org: the team you build and the calls you make will define how a gigawatt of European compute stores its data
- Stand up the storage stack — block, file, object — for training, sandbox, and general compute workloads
- Make the build-vs-buy calls: deploy and harden vendor platforms where they win; design and write our own services in Go where they don't
- Own the data plane: allocation, duplication, tiering, backup and recovery, S3-compatible APIs
- Plan capacity across datacenters and across failure domains — petabytes, not terabytes
- Build the team from zero: make the first hires, onboard and coach them, own performance and growth paths, and set the standard for ownership
- Partner with Product Managers to shape the storage roadmap and make the technical and business tradeoffs
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
$1.9bn
SERIES C
Jun 2024
$532.5m
SERIES B
Total funding: $3.0bn
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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