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AI Research, lead by our CSO with 2 x AI Researchers.
Product, led by VP of Product with 2 x Product Managers.
Engineering, led by our CTO with support from 2 x Engineering Managers:
Front-End with 5 FE devs and 1 Chapter Lead
Back-End with 4 BE devs and 1 Chapter Lead
Machine Learning with 1 ML dev and 1 Chapter Lead
1 2 x Customer Engineer
1 x QA Automation Engineer
2 x DevOps Engineers
1 x Data Engineer
Take these numbers with a grain of salt though since they change every month. 🤓
Team structure 📚
Within the Engineering team there exist Chapters and Cross Functional Team. The Our Engineers and Product Designers work in Cross Functional Teams (xfn-Teams), decide with their Project Manager on what to do to fulfil their purpose. The Chapter Squads) with a clear mission owning one part of our product end to end. Together with their Product Manager they decide what to build to fulfil their purpose. A Squad Lead in the Cross Functional Team and the Engineering Managers help the team to achieve their goals and remove any impediments to progress.
Engineers of the same specialisation from all Squads work together in a Chapter. They meet on a regular basis to define the technical direction and discuss implementation. The Chapter Lead is one of the experts from that Chapter and facilitates the decision making process and makes sure our architecture is build to last.
Do while our Squads decide on what to do , the Chapter decides on the how.
Currently we have:
Chapters: Front-End, Back-end Frontend, Backend and Machine Learning
xfn-TeamsSquads: Virtual Agent, Integration ( CRM ) Integrations , Conversation Design
Our Teams for AI Research, DevOps and Quality Assurance work closely with the Product Teams enabling them to build high performing products and test and deploy their applications.