Echo Analytics

• Echo Platform: Developing an internal SaaS platform that is the cornerstone of all their products.

• Delivery on scale: Using LLM and prompting to improve how they answer their customer requests.

• Foundation model: Enriching their product lines with a Large Geospatial Model (LGM) for forecasting and simulation use cases.

• Data Analysts: They analyze any volume of data for customer requests or internal demands.

• ML engineers: They provide insights from mobile data or satellite image transformation algorithms using machine learning.

• Data Engineers and SRE: Their main goals are to develop and monitor all data transformation pipelines and the supporting infrastructure.

• Software engineers: The team that develops their internal SaaS, the Echo Platform. Mostly backend, frontend, and QA engineers in close collaboration with product teams.

• SDK engineers: Based in Bangalore (following Roam acquisition). Engineers working on mobile programs to track in real-time users’ locations and be able to store and display them.

• Lean process (Gemba, Obeya, ...)

• Bi-weekly sprints demo

• Regular hackathons

• Specific monthly meetings (Machine Learning reading groups, Data Engineering Chapters…..)

• ‘Back to school’ session for Data Analysts.

• A first interview (in English) with their TA Team to discuss your career and projects - 45 minutes

• A technical interview with some Echo engineers - 1 hour

• Depending on the job and seniority, a System Design Interview with Senior/Staff Engineers and Managers from Echo - 1 hour

• An interview with your future manager - 1 hour

• A cultural fit interview in their offices in Paris to know your peers better - 30 minutes

Their process takes an average of 39 days the from first interview to the offer being extended.