Company Description
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 over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero 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 Delivery Hero.

Job Description
We are on the lookout for a Product Manager, Recommendations (all genders) to join our product team at Pandora, which shapes the future of our thriving brands in Southeast Asia and Europe: Foodpanda, Foodora, and Yemeksepeti. In this position, you will drive the strategy, roadmap, and development of our recommendation product and other data science-powered features within Pandora. You will have the chance to leverage machine learning to enhance user experiences and platform outcomes.
You will collaborate with talented data scientists, engineers, UX researchers, analysts, and designers to achieve goals and drive impactful results.
If you geek out over data science topics and are passionate about problem-solving in the food delivery industry, this role is for you!
Join us in creating an engaging and personalised shopping experience for our users. Every feature and improvement you develop will enhance customer choice and app performance, making it easier for users to find and enjoy the products they love. Your work in the Pandora Team will have a lasting impact on customer satisfaction and loyalty across diverse markets.

• Collaborate with business and product stakeholders to address challenges in browsing and recommendation through data-informed strategies.
  
• Define, prioritize, and oversee a backlog of data-centric requirements that support overarching business goals.
  
• Work alongside data scientists and machine learning engineers to design optimal solutions that meet product requirements, ensuring technical feasibility and alignment with user needs.
  
• Cooperate with cross-functional teams to smoothly execute and deliver joint product solutions.
  
• Partner with product analysts to validate product hypotheses through A/B testing and exploratory data analyses, using insights to refine product direction.
  
• Create and maintain comprehensive but accessible technical documentation on the product.
  

Qualifications

• 3-5 years of product management experience, preferably in AI/ML, as well as in the e-commerce or food delivery industry.
• Experience in setting up the right hypotheses for your products, validating them with rigorous A/B testing frameworks.
  
• Experience working with big data / machine learning technologies, and are comfortable with collaborating with data scientists on how and when to apply these capabilities to solve specific product problems.
  
• Written and verbal communication skills, distilling complex technical information into clear messages tailored for diverse audiences.
  
• Experience in interpreting and analyzing complex datasets, and are adept at deriving actionable insights from data.
  

Additional Information
Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

• 
  Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
  
• We offer 27 days holiday with an extra day on 2nd and 3rd year of service
  
• We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
  
• Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy
  
• Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
  
• The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.
  

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!
We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.