Engineering Lead - Machine Learning - ZMS

Job Category

  • Technology & UX/UI Design


  • Hamburg


  • Full-Time
  • Management Level


  • Zalando Media Solutions GmbH

At Zalando Media Solutions we create meaningful connections between brands and consumers through a deep understanding of their personalities. We are working with brands, agencies and publishers from the fashion world and beyond to produce innovative, impactful campaigns that reach the right audience at the right moment. 

As an Engineering Lead for our Advertising Optimisation team, you will lead our Zalando Audience team in Hamburg which handles Advertisement Optimization. You will be responsible for our state-of-the-art, real-time optimization of advertisement and content. You will collaborate with Scientists, Engineers, Business Owners as well as Sales, Operations, Analysts etc. to revolutionize data-driven optimization of advertisement campaigns. You will also collaborate with a wide range of teams in Zalando to continuously improve our company-wide data-driven optimization culture and infrastructure. You will pioneer data/evidence driven optimization of business at Europe’s largest fashion online retailer.


Vision. You will act as a sparring partner for our Business Owners to shape the vision of our advertisement/content optimization. You will also be deeply involved in campaign performance measurement and consumer insight generation. You will act as a bridge between technology and business. Should you desire, you will also proudly represent Zalando at conferences and meetups and give technical talks.

Leadership. You will grow, empower and guide your team, helping them to champion business value creation and technical excellence. You will stimulate and inspire the team, while helping them staying pragmatic and achieve the highest possible performance.

Execution. You will champion all phases of software development life cycle including product vision, functional analysis, development of technical requirements, prototyping, coding, testing, deployment and support.

Collaboration. You define OKRs with your team. You will facilitate collaboration, communication and decision-making between different engineering teams and stakeholders. You will partner with a wide range of contributors/stakeholders to create a unique, revolutionary reporting solution.

Ownership. You have ownership of your product solution. You envision it, you build it, you run it and you continuously improve it - with your team. Think big: delivery, operation and ultimately the success of your products.


Domain expertise. Expertise in one or more of the following areas:

  • Data-driven optimization (e.g. online advertising, E-commerce, social media, P2P lending, online gaming, trading etc.)
  • Statistics, Machine Learning, Data Science
  • Test design and analysis (A/B testing)
  • Software Engineering, particularly in high-load transactional systems and large-scale data pipeline - Experience in particular tech stacks are not important, but familiarity with open source technologies is a plus.

Product. Ability to understand our clients and our business strategy. Sense of entrepreneurship and product management and stakeholder management. Ability to facilitate collaboration between diverse contributors.

Leadership. Leading, coaching and mentoring software engineers and data scientists. 3+ years of experience as team lead working on complex data-driven products.

Passion. You are passionate and willing to take risks. You are determined to achieve the highest possible result.


Community. Tech culture of trust and empowerment, open source commitment, meetups, game nights, +100 internal technical and fun guilds, tech talks, product demos, Coderdojos, Hack weeks, parties and events.

Perks. Competitive salary, 40% Zalando shopping discount at most products on the Zalando platform, discounts from external partners, public transport discounts, relocation assistance for internationals, hardware of your choice.

Development. Tour of Mastery, extensive onboarding, personal branding support, opportunity to attend and speak at data science conferences and Meetups, and encouragement to publish your work.

Work Environment. Self-organized, autonomous teams and flexible working hours. Scale. Unparalleled levels of data and opportunities.


Please make sure your application is written in English. If you have any questions about our recruiting and hiring processes, or If you are not sure whether your qualifications and work experience is suffice, please contact your recruiter: Andreea Lungulescu

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