Chance

Chance

Artificial Intelligence / Machine Learning, Job Training, SocialTech / GreenTech

Paris

Technologies and tools

    Backend

    • Redis
      RedisPlatform
      100%
    • RabbitMQ
      RabbitMQPlatform
      100%
    • PostgreSQL
      PostgreSQLPlatform
      100%
    • Node.js
      Node.jsPlatform
      100%
    • GraphQL
      GraphQLPlatform
      100%
    • Nest JS
      Nest JSPlatform
      85%

    Frontend

    • TypeScript
      TypeScriptPlatform
      100%
    • Styled Components
      Styled ComponentsPlatform
      100%
    • Storybook
      StorybookPlatform
      100%
    • React JS
      React JSPlatform
      100%
    • Next.js
      Next.jsWebsite
      100%
    • Material UI
      Material UIPlatform
      100%

    Devops

    • Terraform
      Terraform
      100%
    • Kubernetes
      Kubernetes
      100%
    • GitHub
      GitHub
      100%
    • AWS
      AWS
      100%

Organization and methodologies

We use agile methodologies to promote the autonomy and impact of our teams. Each team is built around different domains, with OKRs defined by quarter. We aim to make each team autonomous and empowered in its field, which fosters in-depth expertise, rapid decision-making and significant impact.

We use methods such as Scrum or Kanban according to specific needs, and every two weeks, teams present their achievements to the whole company, promoting transparency and collaboration at all levels.

At Chance, we're proud of our agile culture and our commitment to autonomy, collaboration and tangible results.

Projects and tech challenges

Our goal is to provide our users with a wide range of tools to support them throughout their professional lives.

We are committed to maintaining overall consistency in new product development, while ensuring that our technology stack remains scalable and that our level of technical and functional debt is kept to a minimum. This ensures that we can continue to deliver high-quality products efficiently and respond proactively to our users' demands.

Another major challenge we face is the integration of artificial intelligence into our solutions. We're looking to harness the potential of AI to improve the user experience, the relevance of recommendations and the efficiency of our tools. This requires a considered approach to ensure data quality, model robustness and consistency of results.