Graneet

Graneet

Building / Public Works, FinTech / InsurTech, SaaS / Cloud Services

Paris

Organization and methodologies

The tech & product teams are split into 2 squads, each made up of a Tech Lead, a PM, a Designer and several developers, mainly senior. The squads will evolve over time. Today we have :

  • Acquisition Squad
  • Retention Squad

These squads are organized according to the Shape Up method, with an 8-week development cycle (6 weeks build, 2 weeks cool down).

To ensure high quality, every delivery phase is preceded by a preparation phase, during which a macro design is carried out. It enables us to move ahead with development efficiently and serenely, and all code produced is reviewed by two other developers.

In addition, with the aim of putting developers in the best possible conditions, the rare major bugs are dealt with by the run team made up of the leads, Fabien and Cyril, and the CTO, Raphaël.

Projects and tech challenges

{Produit, projet ou défi technique}

{Produit, projet ou défi technique}

Redesign of our jobsite costing tool

Site quotation management is a major component of the Graneet application. In order to provide the best possible support to the users concerned, and to offer a unique and innovative tool on the market, they have been rethinking this central part of the application for several months. Everything has been rebuilt to deliver the ultimate user experience:

  • A tenfold increase in performance, both front and back, thanks to the implementation of a micro-services architecture.
  • A collaborative interface enabled by an event-driven architecture and WebSockets.
  • An optimized UI/UX with the implementation of a graphic charter saving a lot of time on the development side. ㅤㅤ

{Produit, projet ou défi technique}

Integration of functionalities combining Machine Learning and AI.

The construction sector is one of the most backward in terms of digitalization. It's very rare to find Data Science mechanics among their competitors, and even rarer to see functionalities using AI models. Their tools and the data they collect are becoming sufficiently mature and consistent to enable them to take the plunge in the coming months. This will give them the opportunity to think about the implementation of MLOps bricks to help their customers save time using generative AI, or to optimize their businesses, their sites and their margins with a detailed analysis of their costing, invoicing and expenditure data.

{Produit, projet ou défi technique}

Recruitment process

  • Step 1: Interview with Jeanne, Talent Acquisition Manager
  • Step 2: A technical test to do at home, which you will present in front of Fabien or Cyril, our Tech Leads + a Live Coding test during the interview.
  • Step 3: An interview with your future manager
  • Step 4: A final interview with our 3 founders Raphaël, Enzo and Jean-Gabriel
  • Step 5: Discussion with 2 of your futur colleagues
  • You will also be asked to provide a reference check during the process.