Harmattan AI

Data Acquistion Module Lead at Harmattan AI (Paris, France)

Harmattan AI· Paris, France·

Role details

Work type
Onsite
Employment
Full-Time
Level
Lead

Harmattan AI at a glance

France's first defense-tech unicorn, building attritable AI-piloted strike, interception, and ISR drones for allied militaries.

Harmattan AI is a vertically integrated defense prime building autonomous drone systems for allied militaries. It designs the full stack, from airframes and payloads to embedded compute and the autonomy algorithms that let drones sense, decide, and act at the edge without GPS or a network link, coordinated across a swarm by its mission-orchestration layer.

$242M raised · latest: Series B · $200M · January 2026 · backed by Dassault Aviation, FirstMark Capital, Atlantic, Motier Ventures

Job description

About Us

Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.

About the Role

As Data Acquisition Module Lead, you own how Harmattan collects the real-world sensor data that trains its onboard detection and tracking models. You run the module end to end: acquisition roadmap, sensor integration, field campaigns, and dataset quality and delivery to the computer vision and AI teams. You lead and grow a team of engineers while staying hands-on in the field. Every flight you run turns scarce test time into usable data.

Responsibilities

  • Turn the data needs of the computer vision and AI teams into a prioritized roadmap of collection campaigns.
  • Plan and run field campaigns across sensors, scenarios, environments and data volumes.
  • Act as single owner and point of contact for every field session assigned to the module.
  • Own sensor integration and calibration on aircraft and ground systems, including time synchronization and logging.
  • Build the pipeline from raw field capture to curated, documented and versioned datasets, with quality checks before leaving the field.
  • Define dataset acceptance criteria and clear handovers with the computer vision team and the annotation provider.
  • Arbitrate flight slots and test field access with Flight Operations and Validation to maximize usable data per flight.
  • Structure the team’s work, hire the profiles the module needs to grow, and mentor engineers.
  • Stay hands-on by operating alongside the team in the field and reporting regularly on progress, dataset coverage and gaps.

Candidate Requirements

  • At least 6 years of experience in sensor data collection or field testing for perception or AI systems, ideally airborne.
  • Hands-on experience with EO/IR, radar or comparable sensors, including synchronization, calibration, storage and metadata.
  • Experience running multi-person field campaigns and leading a small team.
  • Track record of turning a model team’s needs into a concrete data collection plan.
  • Piloting or flight operations exposure.
  • Safety-conscious, organized and pragmatic in the field, and comfortable arbitrating scarce flight time.
  • Clear communicator toward AI engineers who depend on the data you deliver.
  • A background in electronics, signal processing, robotics, physics or computer science is a plus; demonstrated field and data experience matters more.

We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

Why work at Harmattan AI

  • Culture: “Elite builders” who “thrive on complexity, move with urgency, and own their work end to end.” Emphasis on purpose, technical excellence, and real‑world impact. harmattan.ai
  • Values: Tackle the hardest problems, build what matters, move at the speed of relevance, and aim to redefine frontiers. harmattan.ai
  • Work policy: Hybrid model with a mix of remote and on‑site; many roles are in‑office at locations in Paris, Lausanne, London, Arlington (TX), Wissous, Poland, UAE, and Morocco. builtin.com
  • Engineering culture: Hands‑on development of mission‑critical autonomous systems; strong R&D focus across AI, computer vision, RF hardware, propulsion, and mission planning.
  • Perks: Not explicitly listed, but the company highlights the opportunity to protect front‑line personnel and shape the future of autonomous defence.

Application questions