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About

What is the zalando Adtech Lab?

It was founded as metrigo in 2011 by Christian Müller, Philipp Westermeyer and Tobias Schlottke as a managed demand side platform (DSP) in the space of programmatic advertising. German investment & Online Marketing bigfoots such as Dr. Florian Heinemann, Christoph Schäfer and Martin Sinner were engaged at the beginning and the company acted for clients such as mobile.de, Zalando, AxelSpringer and several well-known agencies.

In march 2015 metrigo was acquired by Zalando and is now part of the big Zalando Tech-family, located in the centre of Hamburg. As a division of Zalando SE ‘The leading Fashion E-commerce Platform in Europe’, Zalando adtech lab spearheads data-driven media buying efforts with a focus on fashion-oriented buying strategies for accurate and relevant consumer targeting.

We are Zalando’s ad-technology forge and an integral contributor to Zalando Media Solutions machine learning, high-level database modeling, metrics definition, trend analysis and report generation are crucial to our business.

We are a team of data scientists, engineers and product managers that provides several parts of the Zalando ad-technology and programmatic advertising stacks. Technology-wise we’ve got tough requirements and challenges in the area of low latency and high throughput applications, as well as data science and number crunching, model building and evaluation.

Building the world’s most innovative online fashion platform isn’t where our common purpose ends, however. Zalandos are driven to build a tech culture that reinforces Purpose, Autonomy and Mastery (details here) With these three principles to guide us, we can ensure that each Zalando continues to grow, learn and thrive.

We are located near by the famous Elbphilarmonie at the Hamburg harbour, Landungsbrücken. The office has stunning views of the river Elbe and is located centrally, easy reachable by the U-Bahn, S-Bahn and bus.

News

Friday, May 19, 2017

Last evening, we invited the "BIG DATA & NO SQL” MEETUP Group and welcomed about 50 of Hamburg’s Data aficionados in a nice & cozy early summer atmosphere in our Zalando adtech lab office. This times guest speaker was Prof. Ulf Brefeld from Leuphana University, who held the first of two talks in which he presented his current data projects. Ulf draws from strong industry experience as he has previously worked at Yahoo Research and is the founder of the recommendations team at Zalando. His chair at Leuphana is applying machine learning and data science in a wide range of scenarios, from digital learning, over e-commerce, to sports analytics in the football Bundesliga. He shared with us the findings and potentials of data science in these domains and went in depth in the mathematical ideas underlying his approaches. A short break with bagels, snacks and drinks was followed by the second talk by one of our own Senior Data Scientists at Zalando adtech lab, Dr. Tobias Lang. He spoke about the usage of deep learning in large-scale e-commerce applications. Tobias argued that while deep learning is still very far from general AI, it has great potential in the adtech and e-commerce space. Zalando adtech lab’s products use deep learning for improved personalization, as well as better understanding and exploitation the large universe of fashion articles at Zalando. As always, you can find their presentations on our Slide Share account: slideshare.net/Zalando-adtech-lab After the talks, there was enough time to enjoy some more drinks and connect on our office balcony with the famous Elbe & Elbphilharmonie background. It was great to have you all here! If you want to stay in touch with us, feel free to add or message any of us on LinkedIn or Xing :)

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Thursday, May 18, 2017

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Thursday, May 18, 2017

#TBT to our Hack Night pilot early this year. Our 25-people strong team invited all Zalando teams from Berlin that are also working on adtech topics, as well as this year’s class of the Hamburg Media School. In 30 hours, the 10 mixed teams hacked together on 7 pre-selected challenges, that had an adtech focus and were developed by all participants in advance. The outcome was quite impressive and their presentations convinced the 5-headed jury to hand out 3 awards on the best concept, best prototype and strongest business impact. Read about the concept & find the Hack Night video on our Zalando tech blog: tech.zalando.com/blog/hack-around-the-clock--hack-night--zalando-hamburg and have a glance at the impressions of the students on the Hamburg Media School blog: blog.hamburgmediaschool.com/hacknight-2017-hms-meets-zalando

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Career

Why join us?

What does it take to become “a Zalando”? Above all, it requires passion: to experiment, learn, fail, and repeat the process, so that we get stronger and better every day.

Zalandos are proud of the strong community we’ve built. Zalando technologists come from more than 50 countries around the world. With so many languages, backgrounds, beliefs and ideas, interests, hobbies, programming-language preferences, personality types and other characteristics – how do we make it work? By celebrating our diversity and learning from each other.

We are all different, but we are all Zalandos. What unites us is the energy and enthusiasm we share in tackling our common purpose: to deliver award-winning, best-in-class shopping experiences to our 19 million active customers.

Great Benefits!

Culture. Culture of trust, empowerment and feedback, 100+ internal guilds, tech talks, product demos, coder dojos.

Perks. Competitive salary, great shopping discount on a wide range of products on zalando.com, discounts from external partners, relocation assistance for internationals, flexible working times, additional holidays & volunteering time off.

Development. Extensive onboarding, personal branding support focused on leadership, opportunity to attend and speak at conferences.

Peers. International, accomplished experts and self-organized, autonomous teams.

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Contact

Zalando adtech lab - Zalando SE
Vorsetzen 35
20459 Hamburg
T: +49 (0) 40 2093108 0
E-Mail: info@zalando-adtech-lab.com