Traque des fuites de données en ligne avec technologie avancée.
Chez CybelAngel, nous révolutionnons la sécurité en ligne avec une technologie avant-gardiste.
Notre mission ? Rendre l’Internet plus sûr. Avec nos solutions innovantes, nous traquons les fuites de données partout où elles se cachent, du Dark Web au Deep Web, en passant par les réseaux d’appareils connectés.
Nous ne nous contentons pas de détecter les menaces, grâce à l’intelligence artificielle, nous identifions les données sensibles facilement accessibles et offrons à nos clients un service d’alerte en temps réel, assurant une protection proactive. Notre équipe d’Analystes en Cybersécurité opère pour sécuriser les informations les plus précieuses des grandes entreprises et anticiper les menaces futures.
Fondée à Paris en 2013, CybelAngel rayonne désormais à l’international avec plus de 130 employés répartis en France et aux Etats-Unis. Plus de 20 nationalités enrichissent notre quotidien !
Nos valeurs reflètent notre esprit agile et collaboratif :
Be Bold : Sois intrépide et pionnier(e) dans tes idées.
Be Curious : Cherche constamment à apprendre et à t’améliorer.
Stronger Together : Crois en la puissance de la cohésion d’équipe pour surmonter les défis.
Duration : 6 months
Location : Paris, France
We are looking for a resourceful and hands-on intern who is comfortable experimenting, building fast, and working directly with CEO, CTO / Cybersecurity analysts and product teams.
You are curious, autonomous, and excited about AI. You enjoy turning ideas into quick prototypes and navigating ambiguity. An interest in cybersecurity is a strong plus.
Context:
You will report to Erwan, CEO, to operationally work on projects, mostly 0-to-1, with the goal to validate quickly what has value or not. You are very reactive regarding requests and ideas.
You will be mentored by Hadrien, Staff Product Manager to ensure success and connect you to the right people, tools and frameworks.
The goal is to feed the roadmap with validated ideas/prototypes.
Main Missions:
Rapidly prototype AI-driven solutions
Explore and build AI agents
Identify tasks that could be automated
Agentic coding
Experiment using AI-assisted coding tools (e.g. Claude Code, any other interesting tools)
Design workflow automations (LLMs, APIs, MCP, orchestration tools)
Test, iterate, and improve prototypes
Evaluate ROI/opportunities
Provide structured feedback and recommendations
Hard Skills
Comfortable using AI-assisted coding tools (e.g. Claude Code or similar)
Ability to rapidly prototype and iterate
Good understanding of APIs, JSON, and data flows
Familiar with LLM usage (prompting, evaluation, iteration)
Analytical mindset
Understanding or strong interest in cybersecurity is a plus
Soft Skills
Autonomous and proactive
Resourceful
Problem-solver mindset
Comfortable with ambiguity
Fast learner
Clear communicator
Execution-oriented
Comfortable with 0-to-1 projects
If you do not meet the requirements but you think you are a great fit, you are welcome to apply and explain why !
Our Benefits
💰 Salary: 1350 euros a month
🍱 Debit card for paying for lunch, with company contribution
⭐️ A 3 to 6 months internship starting from January/February 2027 (ideally end-of-studies internship)
🏢 Office space at Porte de Clichy (bordering Paris 17th/Batignolles – Metro lines 13 & 14 / Tramway)
Diversity & Inclusion
🌈 Very friendly and benevolent atmosphere
🇫🇷 Multicultural team (19 nationalities)
We are committed to creating an inclusive workplace and giving everyone an equal opportunity to succeed, regardless of their background, identity, or life experiences. We value diversity and believe that every individual, no matter their journey, deserves a chance to contribute and thrive.
Your hiring journey
First call with Pierre, Talent Acquisition Manager, to make sure expectations from both ends have a good chance to match (30 min)
Interview with Hadrien, Staff Product Manager (30 min)
Business Case to prepare at home and to present (1 hour)
30 minutes call with Erwan, CEO
In short
Founding year
2013
Employees
130
Average age
32
Gender
38%
62%