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Gymondo Tech Stack

Fitness and wellness platform with multi-brand lifecycle marketing infrastructure

Wellness and Fitness Services Berlin, Berlin 51–200 employees Privately Held

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.

Tech Stack 47 technologies

What Gymondo Is Building

Challenges

  • Reducing early drop-off
  • Improving early-lifecycle performance
  • Increasing subscription conversion
  • Overcoming resistance
  • Measuring true incremental impact
  • Structured experiment design
  • Identifying repeatable growth levers
  • Legacy code refactoring
  • Complex tender processes
  • Selling complex digital solutions

Active Projects

  • End-to-end lifecycle experiences across multiple brands and markets
  • Lifecycle campaigns across email, push, in-app and web
  • Modular crm system for three brands
  • Braze experimentation roadmap
  • Structured experiments for onboarding and retention
  • Structured experiment design
  • Experiment practice evolution
  • Behavioral signal-driven creative strategy
  • Go-to-market models for new digital health solutions
  • Strategic market marketing

Hiring Activity

Accelerating10 roles · 7 in 30d

Department

Marketing
4
Sales
3
Engineering
2
Finance
1
Product
1

Seniority

Senior
6
Lead
2
Manager
2
Intern
1

Notable leadership hires: Head of CRM

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About Gymondo

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.

HeadquartersBerlin, Berlin
Company Size51–200 employees
Hiring MarketsGermany

Frequently Asked Questions

What tech stack does Gymondo use?

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.

What is Gymondo working on?

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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