Product Manager - Recommendations
Product Manager - Recommendations
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Job Description
We are on the lookout for a Product Manager Recommendations 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 sciencepowered 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 problemsolving 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 datainformed strategies.
Define prioritize and oversee a backlog of datacentric 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 crossfunctional 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 :
- 35 years of product management experience preferably in AI/ML as well as in the ecommerce 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 youre in good shape then were in good shape.
Make the most of our hybrid working model and join the team for facetoface 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 mindboosting endorphins: Health Checkups Meditation Yoga Gym & Bicycle Subsidy
Cash. Dough. Cheddar. Whatever you call it well 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 youre excited to grow collaborate and be part of the worlds leading delivery platform wed 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 experiencejust include it in your application. Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
