Yazio operates a nutrition-tracking app across 150+ countries with millions of active users, now building production-grade data infrastructure and real-time feature computation to enable AI-driven personalization. The hiring mix—heavily weighted toward senior engineers and data specialists, with concurrent product and marketing roles—signals simultaneous infrastructure maturation and feature velocity. Pain points around onboarding completion and early retention point to product-market fit challenges despite scale, which the personalization and gamification initiatives are designed to address.
Yazio is a mobile-first nutrition app helping users track diet and lifestyle across 150+ countries. The company operates as a remote-first distributed team (51–200 employees, primarily in Germany and Peru based on active hiring). Core product surfaces include food diary tracking, summary screens, and motivational features. The platform runs on Kotlin Multiplatform (Android/iOS), with backend infrastructure on AWS, Kubernetes, and Kafka, indicating a shift toward event-driven architecture and real-time features. Current priorities include reducing early user drop-off, improving onboarding flows, and launching AI-powered personalization and automation capabilities.
Mobile: Kotlin Multiplatform, Swift/SwiftUI, Jetpack Compose for iOS/Android. Backend: AWS, Kubernetes, PostgreSQL, Kafka, AWS EKS, AWS MSK. Ops: Slack, Jira, Asana, Notion, GitHub. Analytics: AppsFlyer, Braze. Integrations: Zapier, n8n.
Millions of users across more than 150 countries. Specific user counts are not disclosed, but the company is building production-grade data infrastructure and real-time feature systems to support ongoing scale.
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