Jobs at Zalando

Support 3D asset production by dressing mannequins for scanning, organizing studio workflow, processing garments from receipt to publishing, owning assigned tasks, and coordinating with team to spot and escalate issues.

Lead design, development, and productionization of demand forecasting models. Collaborate with product, engineering, and analytics teams to improve forecast performance, build model pipelines, mentor junior scientists, and communicate results to technical and non-technical stakeholders.

Lead and grow a team (up to 10) building an API-first B2B platform. Drive technical roadmap, ensure operational excellence (CI/CD, DevOps), review architecture for scalable microservices, collaborate with product and principal engineers, and foster career development, ownership, and cross-functional communication.

Design, build, and operate end-to-end data engineering and MLOps solutions for real-time, low-latency ad personalization. Implement streaming pipelines (Flink, Spark), feature provisioning to Hopsworks, model serving and operationalization (Triton, SageMaker), CI/CD, monitoring, and automation. Collaborate with applied scientists and mentor engineers while owning cloud infrastructure (AWS, Databricks, Kubernetes) and production reliability.

Lead applied science strategy for Search, build and manage teams of applied scientists and ML engineers, develop state-of-the-art query understanding, retrieval, ranking, and personalization models, drive ML platform and experimentation, establish model governance and evaluation, and align technical roadmap with business outcomes.

Lead product strategy and roadmap for Search and Discovery, building AI/ML-driven relevance, intent understanding, ranking, personalization, and experimentation. Partner with Engineering, Data Science, Design, and Commercial teams to deploy and optimize ML models, run A/B tests, and translate customer insights into measurable product outcomes. Communicate vision to stakeholders and embed search capabilities across the customer journey.

Lead design and implementation of an AI-driven, hyperscale search engine on Elasticsearch. Modernize real-time ingestion using Kafka/Flink, build platform capabilities for personalized discovery, drive infrastructure consolidation and migrations, and ensure operational readiness for high-traffic events.

Lead architecture and delivery of Zalando's B2B ZEOS platform: design scalable React/TypeScript frontends and Node.js services, drive micro‑frontend and SPA strategies, ensure secure AWS/Kubernetes deployments with OpenID/Okta, foster CI/CD, testing, and design system maturity, and align multi-disciplinary teams and stakeholders.

Lead and maintain Tosca-based test automation for SAP S/4HANA and related systems. Build, optimize and execute modular, model-based test scripts, collaborate with SAP functional teams, report coverage and regression results, and support continuous improvement in Agile environments.

Drive sales strategy and acquisition for ZEOS by prospecting and growing partner accounts worldwide. Manage full sales cycle from qualification to contract signing, build C-level relationships, own gross margin and revenue targets, coordinate with logistics/operations/finance, and report forecasts while supporting process improvements.

Design, train, and improve large-scale forecasting models for fulfillment processing times. Build and maintain automated data and ML pipelines, run experiments and A/B tests, mentor mid-level scientists, collaborate with engineers to productionize models, and drive research-informed improvements that impact delivery promises and business decisions.

Lead end-to-end research and productionization of agentic LLM systems for customer care. Design, fine-tune, deploy, and monitor high-volume models, establish research best practices, mentor junior scientists, and collaborate with engineering and product teams to integrate scalable AI solutions.

Own and scale Lounges personalization: build feature and training pipelines, production batch/real-time inference, A/B testing and attribution, integrate models into messaging (e.g., Braze), and mentor engineers while driving production-readiness and reliability.

Lead research on causal inference and incrementality testing to validate and calibrate Media Mix Models, innovate MMM architecture for flash sales, engineer features on AWS/Databricks, validate models with Bayesian methods, and translate results into marketing budget decisions.

Lead Salesforce product and process design for partner lifecycle, replace manual processes with integrated automations, drive AI-enabled innovations, ensure data integrity and UAT, coordinate releases, enable adoption through training and dashboards, and mentor junior process managers to improve partner performance and operational ROI.

Design and build scalable logistics automation architectures, deliver production-ready automation (UiPath, n8n, Python, APIs), integrate LLMs/Agentic AI and IDP, mentor senior engineers, bridge legacy systems like SAP, implement process/task mining, ensure resilient self-healing workflows, and deliver in 2–3 week Agile sprints with operations and central tech.

Lead sales strategy and acquisition for ZEOS, manage full sales cycle from prospecting to contract, build C-level relationships, own financial performance and forecasts, collaborate with cross-functional teams to resolve complex issues, and provide monthly reporting and process improvements.

Lead and grow cross-functional engineering teams in Helsinki, set technical roadmaps, ensure scalable cloud-native systems, drive AI/ML adoption, ensure reliable production operations, engage stakeholders, and foster engineering culture and delivery excellence.

Join the ZEOS B2B Platform team to build React + TypeScript user interfaces within a micro-frontend and SPA architecture. Implement features end-to-end, collaborate on API contracts and design, maintain code quality and performance, use CI/CD, and operate production services with AWS/Kubernetes.

Build and maintain scalable Java Spring Boot microservices and REST APIs, own full development lifecycle using Gradle and CI/CD, operate services on AWS and Kubernetes, participate in code reviews and cross-functional collaboration, and ensure production reliability and monitoring.