Data engineer AI products

Langdock provides an AI platform used by more than 10,000 companies to give employees secure access to leading AI models, build and share agents, and automate repetitive workflows. It aims to build a platform for European enterprises while preserving their control over data, model providers, and deployment environments.

• Define and model company metrics, resolve inconsistencies, and prevent conflicting definitions
• Develop product usage models for activation, adoption, retention, feature usage, and customer health
• Build and operate ingestion pipelines, warehouse models, data quality checks, deployment workflows, and monitoring
• Partner with Product Engineers to analyze product usage, answer exploratory questions, evaluate product changes, and identify opportunities or problems
• Improve product instrumentation by identifying data blind spots and working with engineers to design reliable events and source data
• Enable Account Management to understand account adoption, help Revenue and Finance understand company revenue, and provide leadership with dependable company-level reporting
• Build clear marts, documentation, and dashboards for self-service analysis
• Establish standards for data modeling, quality, ownership, observability, and collaboration across Product Development

• Experience building and operating production data pipelines and analytical models
• Ability to work across infrastructure, SQL modeling, exploratory analysis, and product or business definitions
• Treat data quality and metric definitions as product responsibilities
• Comfortable with dbt, analytical databases, deployment systems, and business intelligence tools
• Able to investigate unexpected numbers and explain the underlying product behavior and technical mechanisms
• Able to turn ambiguous questions into clear definitions, dependable models, and actionable explanations
• Motivated by broad ownership and establishing foundations for a growing data function

• All roles include equity
• Existing right to work in Germany is required; visa sponsorship is not currently available
• This is an in-office role at Greifswalder Strasse 212 in Berlin
• Most engineers start around 8:30; lunch is usually shared, and dinner is available for people who stay later
• Running and gym are part of the routine for many employees