ironquill.tech/board

$ cat jobs/lead-product-manager-gfs-deliveryhero-3c38657e092a.json

Lead Product Manager - GFS

Deliveryhero·EU·Berlin, DE·senior
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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, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We push hard, learn quickly and stay human along the way. It’s this wonderful mix of high performance and real community that makes Delivery Hero a place where ambition and belonging grow side by side. If you’re curious, collaborative and ready to dive deep into meaningful work, you’ll fit right in. We are on the lookout for a Lead Product Manager – GFS to join our Global Food Service vertical on our journey to always deliver amazing experiences. GFS is Delivery Hero’s physical infrastructure arm that builds cloud kitchens to facilitate the geographic expansion of restaurants.This is a unique "Physical-meets-Digital" role. You aren't just building software; you are building the operating system for physical cloud kitchens where efficiency is measured in seconds and orders. As our Lead Product manager , you will own the product strategy and roadmap of our GFS CRM and Cloud Kitchen Operations product. In this role you will manage a small yet highly engaged team of 3 ( Junior PM , 2 Product designer) and will work closely with engineering, data, commercial and regional teams. You will revolutionize the sales process by building an intelligent lead generation using AI/ML. Also you will build outcome driven features to optimize kitchen operations like reducing Rider wait time and prep time. Lead the vision, strategy, and execution of the roadmap for Delivery Hero’s cloud kitchens products that drive growth and profitability across the vertical. Translate insights into action: Analyze complex user behavioral data (drop-off funnels, feature adoption, cohort retention) and di