Revenue

Tech stack

Languages:
Golang, PHP, Lua

Storage:
Elasticsearch, PostgreSQL, MariaDB/MySQL, Redis

Keywords:
Microservices, OpenAPI, Google Cloud Platform, Kubernetes, Pubsub, Airflow, Grafana, Stackdriver, FastText, GeoLocalization, Lucene, Search Engine, Relevance Engineering

Team Introduction

The Job Inventory team works to streamline the ingestion, classification, distribution and search of 15 million job offers daily in several languages. The ability to efficiently control the whole process end-to-end and the capability to extract valuable information from the data flow are two of the key team’s activities.

For this reason, we’re always looking for maximum performance in both the data processing and the data analysis stages.

We follow the Scrum Methodology with sprints of two weeks and we’re constantly trying to improve the way we work through continuous improvements and learning by doing.

Key projects

• New ingestion: increase by a factor of 20x the speed at which we’re able to ingest, classify and re-distribute a job offer through our diverse distribution channels.
• Job classification: improve the quality of classification of an ingested job offer through the use of efficient algorithms (entity extraction, NLP, geolocalization, etc.).
• Search and distribution: provide the most updated and relevantsearch and distribution functionalities to our customers and partners.

Tech stack

Languages:
PHP, Javascript, Golang

Storage:
MariaDB/MySQL, Redis, MongoDB

Keywords:
Symphony, Laravel, OpenAPI, Google Cloud Platform, Kubernetes, SMTP, Web Push

Team Introduction

The Customer Experience team’s main task is to offer our job seekers community the best experience in their interaction with our websites and notification channels.

We manage all our users facing websites (almost 80 websites, in 12different languages), and we are responsible for delivering millions of email messages per day along with thousands of web push notifications to our proud community members. Ensuring our business runs smoothly 24/7 while delivering the best possible user experience is, therefore, a key aspect of our daily activities.

Learning to know better and better our customers’ needs in order to provide them with the most relevant information is at the heart of our process. In order to do so, we favor an agile approach with Scrum (two weeks sprints) and work to continuously improve our existing codebase.

Key projects

• Acquisition: improve and automate the acquisition process through our partner channels, in order to ensure each seeker finds his/her ideal offer and each offer is delivered to the ideal seeker.
• Recommender: capture the right information and leverage the best match to provide an always more relevant experience to our users.
• Marketing automation: provide our marketing team with the best automation platform to more effectively market on our online channels.