Product Engineer (Stage)
We’re building a browser-based platform that detects and manages SaaS usage across large enterprises in real time. Our technology combines a high‑performance browser extension (300,000+ users) with data‑processing pipelines that analyze usage patterns and a contextual notification / conversational system. We operate at the intersection of browser technology, real‑time data processing, and enterprise security to help companies control their SaaS ecosystem and guide employees to better software usage.
About the Role
We’re looking for a Product Engineer Intern to join our newly formed R&D squad. This team focuses on exploration, rapid prototyping, and experimentation. You’ll work on high‑impact, exploratory projects—from building intelligent SaaS detection mechanisms to developing AI‑powered insights and crafting new user experiences (e.g. an AI agent in the browser). This is a high‑autonomy role where you’ll work on end‑to‑end prototypes, validate their feasibility, and collaborate with our core engineering and product teams to bring the most promising ideas into production.
Missions
Technical Challenges You’ll Tackle
- Prototype and validate new ideas: develop quick, functional proofs of concept to test innovative product features.
- Use cutting‑edge tech: apply AI, NLP, and automation to enrich our 50K+ SaaS catalog and improve detection accuracy or behaviour triggers in our extension.
- Explore new interaction paradigms: develop new ways for our users to interact with our web browser extension via AI and contextual notifications.
- Extract insights from massive datasets: work with our data stack (BigQuery, dbt, python) to identify patterns and trends in SaaS usage across large enterprises.
- Balance speed & quality: deliver POCs quickly while ensuring a smooth handoff to the core engineering team for productionisation.
What You’ll Own
- End‑to‑end prototyping: from ideation and research to developing MVPs and testing feasibility.
- Exploration roadmap: work closely with product and leadership to identify promising innovation areas.
- Technical decision making: choose the right tools and architectures to validate hypotheses efficiently.
- Cross‑team collaboration: share insights with engineering, data, and product teams to inform long‑term strategy.
Our Engineering Culture
- Close collaboration with product team to shape solutions.
- Regular knowledge sharing sessions and tech talks.
- Balanced approach to shipping features and improving code quality with best practices.
- Autonomous teams with high ownership and impact.
- Fast‑paced environment with rapid iterations.
Tech Stack
- Backend: Node.js (Nest.js), TypeScript, MySQL, PostgreSQL
- Frontend: Vue 3 (Nuxt 3)
- Infrastructure: GCP, Kubernetes, Helm, Terraform, GitHub Actions
- Data Processing: Python, BigQuery, dbt
- Data visualisation: Looker
Experience
- You’ll be a great fit if you:
- Are French‑speaking (native).
- Are in Bac +4 or Bac +5 engineering school (Ecole Polytechnique, Télécom Paris, Centrale Supélec…).
- Thrive in uncertain, exploratory environments and enjoy solving open‑ended problems.
- Are a fast learner who enjoys picking up new tools, languages, and methodologies.
- Love rapid prototyping and can balance speed with technical rigor.
- Enjoy working with data, AI, software engineering, and technology in its globality to create impactful features in our product.
- Want to join an innovative and fast‑growing company that aims at climbing mountains.
Benefits
- Duration: 6‑month internship starting January 2026.
- Compensation: €1,300 to €1,500 per month.
- Mentorship: direct guidance from experienced developers.
- Real Impact: work on actual product features and contribute to the company’s growth.
- Benefits: Swile.
EEO Statement
We are an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status.
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