Jobs at Zalando

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.

Develop and productionize risk and causal-inference ML models for fraud and credit, handling full ML lifecycle: data analysis, model development, deployment, monitoring, and scalable pipelines while collaborating across teams to drive business impact.

Build and deploy ML/optimization solutions for B2B logistics: time-series forecasting (demand, returns, lead-times), stochastic inventory optimization, recommender systems, and Agentic AI evaluation. Work cross-functionally to take prototypes to production and measure partner-level impact at scale.

Build and maintain scalable Java Spring Boot microservices powering partner-facing APIs. Own full development lifecycle including design, testing, CI/CD, deployment, and production operation on AWS and Kubernetes. Collaborate with product and frontend teams, participate in code reviews, and ensure operational health and monitoring.

Support Finance leadership as a business partner across Finance Operations, FP&A, Growth and Commercial teams. Lead budgeting, monthly variance analysis, forecasting, KPI/dashboarding, scenario modelling, business case development, and management reporting. Drive insights, improve controlling and reporting processes, and communicate findings to stakeholders to inform decisions and strategy.

Lead pricing strategy for ZEOS B2B logistics, designing and implementing pricing models, running data-driven analyses, optimizing processes (including AI), performing market research, and establishing pricing best practices and documentation across product, commercial and strategy teams.

Join Zalando Payments SRE team to design, deploy, and operate highly available microservices. Improve platform reliability, automate workflows with infrastructure-as-code, implement monitoring and testing pipelines, troubleshoot production issues, and mentor engineering teams while contributing to platform evolution.

Lead end-to-end creative projects, build and maintain scalable design systems, craft bold typographic, static and motion assets, and produce high-impact social and marketing designs. Drive presentations, stakeholder communication, and apply cultural trend knowledge and GenAI tools to keep Lounge by Zalando’s visual output contemporary and engaging.

As a Customer Relations Expert, you'll manage complex customer cases, ensure quality in service, work cross-functionally, and drive improvements in customer experience.

The role involves leading research in bidding algorithms, optimizing marketplace dynamics, and mentoring a team, requiring a PhD and over 10 years of experience in machine learning and ad tech.

Lead applied science for customer-facing fashion assistant and personalization. Define evaluation frameworks, build and deploy recommendation and LLM-based solutions, translate business problems into research, and contribute production-quality code alongside engineers.

Lead research, design, and production implementation of algorithms and predictive models for warehouse scheduling, planning, and routing. Deliver end-to-end solutions from prototype to highly available production services, mentor applied scientists, and influence scalable, data-driven architecture and development methodologies.

Research, design, prototype, and implement algorithms and predictive models for warehouse scheduling, planning, and routing. Deliver end-to-end production software, test and operate highly available systems, influence R&D methodology, and mentor other applied scientists to improve logistics efficiency via stochastic optimization and ML.

Lead research, design, and production implementation of algorithms and predictive models for warehouse scheduling, planning, and routing. Deliver end-to-end solutions from prototyping to highly available production systems, influence R&D methodology, and mentor other applied scientists.

Lead a cross-functional portal engineering team (up to 10), define frontend strategy and architecture (Micro Frontends), ensure performance, security (Okta/OpenID), CI/CD and cloud deployments (AWS/Kubernetes), collaborate with Product and UX, hire and grow engineers, and drive operational health and delivery.

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.

Support and optimize Salesforce Service Cloud and automation platforms (N8N/RPA/Agentforce). Configure CRM, deliver medium-complexity automation, translate business problems into technical specs and Jira stories, run UAT and releases, build dashboards/analytics (SQL/CRMA), and mentor junior contributors to improve Partner Care operations.

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.