Digital real estate platform connecting agents and buyers across German cities
Evernest operates a tech-enabled real estate brokerage across 45 offices in German metropolitan markets, with a hiring surge driven almost entirely by sales roles (38 of 45 open positions). The stack—React, Next.js, Python, Kubernetes, BigQuery, dbt—reflects an engineering team built for data pipelines and customer-facing applications, but the 38:2 sales-to-engineering ratio reveals a sales-and-operations-led scaling model typical of franchise expansion rather than product-first growth.
Evernest reimagines residential property transactions in Germany's major cities by combining digital tools with traditional brokerage operations. The company operates through a network of 45 offices staffed by real estate agents and city partners, supported by an internal technology platform that handles property listings, customer relationship management (via DATEV and a custom CRM), and marketing automation (Google Ads, Facebook Ads Manager, Klaviyo). Founded in 2019, the company is publicly traded and headquartered in Hamburg. Current focus is on recruiting, training, and deploying agents to new regional locations while scaling operational workflows and optimizing lead-to-transaction processes.
Frontend: React, Next.js, TypeScript; Backend: Python, Django, GraphQL; Infrastructure: Kubernetes, Helm, Terraform; Data: BigQuery, dbt; CRM: DATEV; Marketing: Klaviyo, SendGrid, Google Ads, Facebook Ads Manager; Analytics: Google Analytics; Hosting: GCP, AWS.
201–500 employees across 45 offices in German metropolitan areas.
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Evernest's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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