Want to know if this job is worth applying to?
Paris, Île-de-France, France
Onsite
Outsight’s software solutions track the motion of people and vehicles using 3D LiDAR data.
Operators of transportation hubs like airports and train stations but also sport venues, road infrastructures and industrial sites can now access accurate and anonymous Spatial Intelligence data, in order to improve operations and increase user safety and satisfaction.
Our international team of scientists and engineers drive the development of our solutions from Paris, San Francisco, Sophia-Antipolis (Nice), Singapore & Hong Kong. To support our global outreach, we also operate a commercial office in Spain.
You can find below an interesting link about who we are and what we do :
Our Passenger Flow Traffic Monitoring solution is trusted by the world’s leading airports and train stations across four continents, including the most renowned hubs celebrated for their operational excellence and exceptional passenger experience. We also deploy our solutions in other markets such as Tourism, Retail and Sports.
Additionally, our Car Traffic Remote Monitoring product is trusted by several Tier 1 customers, including BMW.
Context
We are looking for an experienced frontend engineer to redefine how humans interact with live spatial tracking. This engineer will translate abstract real-time coordinates, semantic timelines, and conversational agent feedback into beautiful, accessible web applications.
Responsibilities
Develop responsive web experiences displaying intricate spatial layouts, streaming event lists, and multi-tenant telemetry dashboards.
Build modular, real-time chatbot components and rich-text messaging UI components that expose backend AI agent steps transparently.
Ensure rigid web application performance metrics, smooth rendering profiles under heavy live-data traffic, and clean state handling.
Provide close technical mentorship and guidance to incoming Frontend Interns joining the team.
Requirements for the role
Agentic Workflow & Productivity Edge: Proven track record of designing generative UI experiences where components fluidly adapt based on structural payload returns from AI agents. Must showcase high productivity using modern terminal/IDE augmentations to prototype complex frontend views at exceptional speed.
Why join us?
Be part of the team pioneering Spatial Intelligence solutions at unprecedented scale—the breakthrough technology transforming how the world’s most prestigious airports, infrastructure operators, and smart cities understand and optimize physical flows.
As a 7-time Gartner-recognized category-defining leader with dozens of global awards including “Edge AI Product of the Year,” “LiDAR Leader Award,” “CES Best of Innovation” and many more, we’re backed by 37 patents and deployments with the most prestigious (and challenging) customers across four continents.
Join our international team of world-class experienced engineers and business leaders solving humanity’s most complex spatial challenges, from passenger flow optimization to autonomous robotics coordination, while working at the cutting edge of 3D AI, LiDAR perception, and real-time analytics.
Supported by rock-solid investors including BNP Paribas, BPI France, Energy Innovation Capital and Demeter who back our long-term vision, this is your opportunity to shape how physical and digital worlds interact, with the resources, growth trajectory, and technical challenges that will accelerate your career in ways traditional companies cannot offer.
Outsight is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Outsighters don't make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Outsight also strives for a healthy and safe workplace, and prohibits harassment of any kind. If you have a disability or special need that requires accommodation, please let us know.
