Real-time product discovery AI for e-commerce marketplaces
Albatross built a real-time discovery platform for online retail, processing billions of user interactions across 100+ million products. The tech stack signals a mature, observability-first engineering culture: Prometheus, Grafana, Loki, and Jaeger sit alongside ML infrastructure (PyTorch, TensorFlow, JAX), containerization (Kubernetes, Docker), and multi-cloud deployment (AWS, GCP, Azure). The company is scaling with a senior-heavy, data-and-engineering-focused hiring mix across Europe — the concentration of pain points around reliability, observability, deployment speed, and scalable ML retraining indicates they're optimizing for production stability as they grow.
Albatross is a Swiss AI startup founded in 2024 that orchestrates real-time product discovery for e-commerce platforms. The platform processes billions of user interactions and manages product catalogs exceeding 100 million SKUs, adapting search and recommendations to user intent in real time. The company operates with a tightly integrated engineering and data science organization, building observability and ML infrastructure in parallel. Sales and partnerships drive adoption across online marketplaces in Europe and beyond.
Albatross runs on Kubernetes and Docker for orchestration, AWS/GCP/Azure for cloud infrastructure, TypeScript/Node.js/React for frontend, Python/PyTorch/TensorFlow/JAX for ML, and Prometheus/Grafana/Loki/Jaeger for observability.
Albatross is building a real-time personalization platform, recommendation and search engine, feature engineering pipelines, scalable ML retraining, and improvements to observability, incident response, and release management processes.
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