Sr. Product Manager - Global Qcommerce Hub

A Little Bit About Talabat

The Role

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.

What We'Re Looking For

• Experienced Builder: 5+ years in Product Management with a proven track record of shipping impactful products whether consumer-facing, internal tools, B2B platforms, or decision-support systems. Retail, supply chain, or marketplace domain experience is a strong plus.
• Expert Communicator: Translates complex business needs into clear requirements and effectively manages senior stakeholder expectations across central and regional teams.
• Autonomous Ownership: You define direction, make trade-off calls, and take accountability for outcomes.
• AI-Fluent: You don't build models but you understand how to leverage AI, ML, and LLMs to make sharp product decisions and deliver real user value.
• Technically Proficient: Comfortable discussing ML model inputs/outputs and recommendation engines with senior engineers.
• Ambiguity Navigator: Thrives in fast-paced, 0-to-1 environments and can maintain delivery momentum across multiple global markets.
• Analytical Mindset: Uses data to back up every assumption and can dive deep into complex operational processes without losing sight of the broader mission.