Fitness and wellness platform with multi-brand lifecycle marketing infrastructure
Gymondo operates a multi-brand fitness and wellness platform across German-speaking markets, underpinned by a modern data stack (BigQuery, dbt, Databricks, Braze) and a backend split between JVM (Java, Spring Boot, Kotlin) and Go services. Active hiring tilts heavily toward marketing and sales roles—especially CRM leadership—while projects center on lifecycle experimentation and multi-channel campaign orchestration, suggesting the company is scaling subscriber acquisition and retention mechanics across multiple product lines rather than expanding core engineering.
Notable leadership hires: Head of CRM
Gymondo is a fitness and wellness platform operating across the German-speaking region, combining workout content, mindfulness, and nutrition services. The company runs multiple brands and serves a subscription-based consumer fitness market. Operationally, the platform relies on a polyglot backend (Java, Kotlin, Go), a modern data pipeline (BigQuery, dbt, Databricks, Airflow), and customer data infrastructure (Braze, Amplitude, RudderStack) to drive lifecycle marketing and experimentation. Current focus areas include reducing early subscriber churn, designing repeatable growth levers, and building modular CRM systems to support expansion across brands.
Backend: Java, Spring Boot, Kotlin, Go, Node.js, NestJS, Gin, Ktor. Data: BigQuery, dbt, Databricks, Apache Airflow, MySQL, PostgreSQL, MongoDB, DynamoDB, Redis. Analytics & CRM: Braze, Amplitude, Google Analytics 4, Tableau, Looker, RudderStack. Infrastructure: Docker, Terraform, Elasticsearch, Firebase.
Multi-brand lifecycle marketing: email, push, in-app, and web campaigns; modular CRM system; onboarding and retention experiments; behavioral signal-driven creative strategy; and go-to-market models for new digital health solutions. Core challenges: reducing early drop-off, improving conversion, and isolating incremental impact from experiments.
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