Blacklane operates a carbon-offset chauffeur network across multiple geographies, handling airport transfers and intercity rides via mobile app and web. The stack—AWS, Kafka, Kubernetes, dbt, Postgres, Elasticsearch—reflects a data-heavy operations backend, now improving observability and modular architecture while shifting from Apollo. Hiring is skewed toward senior engineers (25 of 37 open roles), concentrated in demand forecasting, churn prediction, and strategic account planning, suggesting a pivot toward enterprise retention and B2B expansion across the Americas.
Notable leadership hires: Creative Director
Blacklane is a privately held chauffeur service founded in 2011 and headquartered in Berlin. The platform connects business travelers with professional drivers for airport transfers, city-to-city rides, and in-city transport, booked via mobile app or website. The company operates across multiple countries and markets, with operations spanning India, the US, Peru, Germany, the UK, Saudi Arabia, and Spain. Since 2017, all rides are carbon offset. The business model centers on high-end guest experience and operational reliability, with a growing focus on retaining large enterprise accounts and expanding B2B coverage.
AWS (Lambda, Step Functions, SQS, SageMaker, DynamoDB), Kafka, Kubernetes, PostgreSQL, MySQL, Elasticsearch, Redis, Ruby, Go, TypeScript, Java, dbt, Tableau, Looker, and Power BI. Adopting REST APIs; recently replaced Apollo.
End-to-end observability, modular architecture improvements, CI/CD pipeline enhancements, demand forecasting, churn prediction, electric vehicle upsell programs, strategic account planning, and partner experience optimization.
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