Sr. Product Manager - Global Qcommerce Hub at DeliveryHero

The Role We are seeking high-caliber Sr. Product Managers to lead the newly formed Global Qcommerce Hub squads. Build Locally, Impact Globally. At the Global Tech Hub for Delivery Hero, talabat will lead the mission to bridge the gap between regional innovation and global standards. You'll be part of the Delivery Hero central product team with a physical presence in Dubai, working directly with Berlin-based domain teams and stakeholders across 70+ countries. We are looking for builders who want to own the entire product lifecycle and create systems that are built for world-class reach. In a DMarts network spanning 500+ stores and 1M+ SKUs, your mission is to build the intelligence layers that take our operations to the next level across both Category Management and Store Management. You'll design core decision platforms that automate assortment, pricing, store operations, merchandising, and availability at scale - driving measurable impact across all global markets. Your Impact   • Product Vision: Define the end-to-end roadmap for platforms spanning SKU lifecycle management, pricing, store operations, merchandising, and availability • Product Discovery: Own the problem space. Frame problems clearly, leverage data to validate assumptions, run structured discovery with operational users, and make prioritisation calls grounded in evidence • Architecture & Integration: Shape the product architecture to integrate with global microservices - partnering with engineering on API design, data flows, and system boundaries across catalog, pricing, supply chain, and store operations systems. • 0-to-1 Development: Lead a cross-functional squad of engineers, data scientists, and designers to move from foundational architecture to a production AI-powered user experience. • Commercial Excellence: Translate high-level strategy into precise requirements, leveraging automation to enable actionable decisions for teams managing massive SKU volumes.Key Responsibilities   • Strategic Roadmap: Set the direction for workflows balancing near-term automation wins with longer-term AI capabilities. • Technical Partnership: Collaborate with engineering on API designs, service architectures, and data pipeline integrity. • User Discovery: Proactively engage with end users and teams to identify unserved operational needs and validate where automation and AI can remove the most friction. • Execution: Co-own timelines with engineering, making pragmatic trade-off calls to ship high-quality incremental slices. • Stakeholder Management: Partner with Central Berlin teams and regional commercial leads to align on global execution and adoption.