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As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany, the company has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are the company.
Job Description
We are looking for a Director of Engineering, Pricing and Data - Logistics to lead the Pricing and Data domains on our journey to always deliver amazing experiences. In our Logistics Team, you’ll tackle high-impact challenges that make last‑mile delivery efficient, affordable, and sustainable. Your work will directly improve experiences for riders, end customers, and merchants across the globe. Each enhancement you contribute will help the company optimize delivery operations, supporting expansion into new areas like grocery and retail.
You’ll lead a team of 40+ engineers, data scientists, and managers to help offer prices to customers that maximize long‑term profitable growth across all of the company’s markets and help all teams across the Logistics organization work easily and impactfully with data and machine learning models. In this position you will work closely with product and business counterparts to influence pricing strategy across the business and report directly to the Vice President of the Logistics Customer Product Line.
Your mission:
- Support and develop a diverse and cross‑functional tech team and its leaders to new heights of impact
- Build and deploy innovative pricing mechanisms and pricing management features to drive profitable growth
- Work with regional managers and brand leadership across all markets to support local needs with simple and scalable centralized product offerings
- Advance data and machine learning platforms that make Logistics an amazing home to use data and deploy models
Qualifications
- Experience leading large technical organizations through managers and senior individual contributors
- A track record of effective product‑focused technical leadership and operating highly reliable, high‑throughput systems
- A technical background that allows you to go deep on important questions of architecture and strategy and promote a culture of engineering excellence
- Excellent stakeholder management and business understanding
Nice to have:
- Strong background in pricing science
- Substantial experience developing data engineering and machine learning systems
- Experience shipping, evangelizing, and evolving APIs to third parties
Additional Information
- Hybrid working model – 2 days a week in the Berlin campus for team collaboration
- 27 days holiday, plus an extra day in years 2 and 3 of service
- Educational budget of €1,000, language courses, parental support and access to the Udemy Business platform
- Health benefits: health checkups, meditation, gym, and bicycle subsidy
- Financial benefits: employee share purchase plan, sabbatical bank, public transport ticket discount, life & accident insurance, corporate pension plan
EEO Statement
We believe diversity and inclusion are key to creating a great product and employee experience. We do not discriminate on the basis of race, religion, color, national origin, gender identity or expression, sexual orientation, age, marital or disability status, or any other aspect that makes you who you are.
Severely disabled applicants with equal qualifications will be given preferential consideration.
Accessibility
We encourage you to let us know if you need accommodations or specific accessibility support to ensure a smooth interview experience. xayajpt
You’re welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully.
Kontaktdaten:
United States Digital Space LLC Recruiting-Team
