“Think deeper. Build smarter.”

AI & DeepTech Division

Born from a passion for innovation and technological impact, our AI & DeepTech division represents a new generation of recruitment dedicated to intelligent systems and emerging technologies.
Young, agile, and ambitious, our team is driven by curiosity, technical awareness, and a deep understanding of how AI reshapes industries.

We partner with startups, scale-ups, and industrial players who are shaping tomorrow’s world — identifying the key talents who can turn research into real-world solutions.
Our approach combines strategic insight with an authentic enthusiasm for scientific and technological breakthroughs.

Key Areas of Recruitment

1. Business Development & Strategic Partnerships
We help our clients strengthen their commercial teams to accelerate the adoption and growth of AI-driven products and DeepTech innovations.
Typical roles: Business Development Manager, Key Account Manager, Sales Engineer, Partner Manager, Strategic Alliances Lead.

2. Product, Marketing & Strategy
We recruit the profiles who define positioning, product vision, and go-to-market strategies for next-generation technologies.
Typical roles: Product Manager, Product Marketing Manager, Growth Manager, Innovation Manager, Ecosystem Builder.

3. Operations, Delivery & Customer Success
Because great technology means nothing without execution, we source experts who ensure scalability, adoption, and operational excellence.
Typical roles: Customer Success Manager, Implementation Specialist, Operations Manager, Project Manager.

4. Leadership & Strategic Tech Roles
For growing organizations, we identify executives capable of leading innovation and technological vision.
Typical roles: Head of Data, AI Solutions Architect, Chief AI Officer, Director of Innovation.

Core industry focus

Our missions span the full AI & DeepTech ecosystem, with a particular focus on:

  • HealthTech & MedTech (AI applied to diagnostics and clinical research)

  • Robotics & Automation (smart systems and industrial robotics)

  • SaaS & Data Infrastructure (cloud, edge computing, embedded AI)

  • Cybersecurity & AI Ethics

  • Mobility, Energy & Industry 4.0