Jobs at Zalando

The Marketing Lead drives consumer marketing across the DK, SE, NO, and FI regions, executing local strategies to enhance brand perception and business growth. Responsibilities include overseeing local tactics, managing budgets, ensuring effective collaboration, and utilizing market insights to drive marketing initiatives.

The Senior Principal Software Engineer will lead logistics software development, enhancing automation, and AI integration, while managing complex projects and mentoring teams.

As an Applied Science Manager, you will lead a team of scientists and engineers in developing effective pricing algorithms, optimizing pricing strategies and business value through machine learning and operations research.

The Engineering Manager will lead a team of Data Engineers to build a Centralized Data Lakehouse, ensuring high-performance data delivery and integration with Zalando's ecosystem.

The Senior Total Rewards Partner will design and implement compensation programs, conduct data analyses, and lead rewards initiatives in collaboration with various stakeholders.

The Head of Revenue Operations & CRM will design and manage revenue operating systems, oversee partner management, and ensure efficient use of Salesforce and HubSpot while driving automation and team transformation.

As a Senior Software Engineer, you will design and develop user-facing features using React and TypeScript, collaborating closely with Product Management and Design, and take ownership of the features you build, ensuring high quality through comprehensive testing.

As a Fullstack Software Engineer, you will design and implement software solutions using Kotlin and TypeScript with React, focusing on optimizing transport planning at Zalando. Responsibilities include developing features, collaborating with teams, and improving the code base.

As a Senior Applied Scientist, you will develop and refine demand forecasting models, collaborate with cross-functional teams, and mentor junior scientists. You will own the entire development cycle of algorithms and build model pipelines utilizing various programming tools.

As a Senior Applied Scientist, you'll develop advanced modeling techniques for marketing effectiveness, optimize marketing investments, and mentor junior scientists.

As a Principal Software Engineer, you'll lead multiple teams in Risk Management, designing cloud-based solutions, mentoring engineers, and driving innovation.

The Senior Product Manager is responsible for leading product discovery, shaping product strategy, and delivering measurable outcomes in a data-driven e-commerce environment.

As a Principal Applied Scientist, you'll design experimentation frameworks, analyze A/B tests, provide scientific guidance, and collaborate with teams to guide business decisions through causal inference and statistical modeling.

The Senior Enterprise Automation Engineer designs and deploys intelligent workflow automations, integrating AI, managing APIs, and enhancing efficiency in logistics operations.

The Senior CRM Process Owner will optimize partner experiences by improving workflows and driving AI-enabled efficiency within the Salesforce ecosystem. Responsibilities include process design, stakeholder management, and training end-users to ensure high adoption rates and quality assurance.

The IT Manager will lead the IT team, support IT operations, enhance service quality, drive innovation, and manage relationships with stakeholders.

The Applied Science Manager leads a team of scientists and engineers to develop solutions for Ads Personalization, focusing on real-time recommendations. Responsibilities include guiding research, ensuring high-quality project execution, and promoting collaboration across teams.

The Backend Engineer (Data Science/ML) will develop and maintain microservices, engage with Data Science & ML tasks, and lead feature implementation in a collaborative environment.

As an Engineering Manager, you will lead a multidisciplinary team, shape system architecture, and ensure delivery of impactful customer-facing and AI-driven systems while fostering a culture of ownership and excellence.

As an Engineering Manager in AI Innovation, you will lead a team to transition AI from prototypes to scalable, production-grade capabilities, ensuring operational excellence and responsible AI deployment while fostering team growth.