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Comand AI provides Prevail, an AI-assisted command-and-control platform for armed forces and headquarters. It aggregates operational data to help understand terrain, plan missions and learn from operations.

Information about Comand AI
Sector
Software and internet
Model
B2B
Stage
Startup early-stage
Headquarters
Paris
Official domain
comand.ai
Founded
2023 · 3 years
Published headcount
39 employees
Total funding published
49,4 M$Source ↗
Latest funding round
Series A · 2026-06-17
Amount announced
37 120 000 $
Open jobs
6

Investors mentioned

Job details

The full description published by Comand AI.

View original job listing ↗

Who we are

Comand AI is building a global technology leader focused on defense & security. The company was co-founded in 2023 by Loïc Mougeolle, Marie Inuzuka and Quentin Le Pape, drawing from their unique experience at defense industry leaders and world-class tech companies. The world of defense & security are being entirely renewed by AI and robotisation: new classes of threats, new levels of autonomy and speed demands radically new solutions to protect our societies. Comand AI is at the forefront of the rebuilding of these verticals to serve our countries resilience.

Comand AI core product is a next generation command and control software platform, which allows militaries to operate at machine speed in a communication and GNSS denied context. A few facts to anchor you:

  • €45M raised from seed to Series A, Blossom Capital leading the series A and Saab as a strategic investor
  • Software platform combat proven and deployed in Ukraine
  • A lean team of operators with backgrounds from Palantir, OpenAI and world-class tech experience, alongside unique expertise from the defense sector
  • Live business with governments and defense industry leaders across Europe
  • Paris (HQ), London, Munich and Kyiv subsidiaries

The role

You'd join the engineering team to own features end to end, with a strong lean toward the interfaces and workflows clients interact with directly. This is a product engineering role. Unlike our Forward Deployed Engineers, you are not embedded with clients or responsible for running deployments in the field. You turn operational needs and field feedback into a durable core product. What this looks like in practice:

  • Own end-to-end features on Prevail, our operational planning platform, from scoping and interaction choices through backend implementation and production
  • Spend significant time on the front end, building clear, reliable workflows for users working with complex information under pressure
  • Solve real geospatial problems: move data between backend and frontend through tile servers and use PostGIS for demanding spatial queries
  • Build and harden ML and LLM workflow orchestration, including retries, queueing, and long-running jobs with LangGraph and LangChain
  • Design for on-prem and appliance deployment, where hardware, connectivity, and resource constraints matter as much as cloud scalability
  • Work closely with product, design, and forward-deployed teams to turn user signal into features that work across clients WHO WE'RE LOOKING FOR We filter hardest on mission drive, low ego, attention to detail, and first-principles problem solving. We want builders who can move across the stack while keeping the user-facing experience sharp. Must-have:
  • Strong full-stack production experience, with genuine comfort owning both interfaces and backend systems
  • Solid TypeScript and React, plus Python experience or the ability to become productive quickly with FastAPI
  • A track record of taking features from an ambiguous problem through release and iteration
  • Product judgement and attention to detail, especially in workflows used directly by customers
  • Comfort deciding what to build now, what to make durable, and what to leave out
  • EU or UK citizenship (contractual requirement tied to our defence contracts)

Nice to have

  • Experience : with PostGIS, GIS, mapping, or other geospatial systems
  • Experience : with LangGraph, LangChain, or multi-step ML and LLM workflows
  • Experience : deploying software on-prem, offline, or as an appliance
  • Experience : with front-end performance and data-dense interfaces - Prior work in defence, government, or dual-use technology

What's in IT for you

Competitive package (top 0.1% of compensation in Europe: base + equity)

  • Paris or London based
  • End-to-end ownership of product used in real operational environments

The process

  • Talent screening: 30 min, online. Background and motivation. 2. Technical screening: 45min, online. Skills assessment. 3. Onsite in Paris: half day (3 hours). System Design, Re-engineering and Project Presentation. 4. Roundtable.

Workplace

Confirmed address

The job posting directly provides this address.

23 rue du Renard, 75004 Paris
Confidence score 5 out of 5
View the address source ↗

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