Senior Product Manager

• Owning the end-to-end product lifecycle for ML-powered scoring capabilities within the Sponsored Offers domain
• Defining product vision, strategy, and measurable outcomes aligned with business objectives
• Leading product discovery by identifying customer and business problems, validating hypotheses, and prioritizing opportunities
• Orchestrating cross-functional collaboration between Product, Data Science, Engineering, and business stakeholders throughout the delivery process
• Optimizing the product roadmap by balancing business value, user needs, technical feasibility, and strategic priorities
• Defining success metrics and monitoring product performance to continuously improve business outcomes
• Communicating product direction, priorities, and progress to senior stakeholders across the organization
• Leveraging AI-assisted discovery and research techniques to accelerate product decisions and improve product quality

Key requirements:

• Proven experience as a Product Manager building and scaling digital products
• Defining product strategy and delivering 6-12 month objectives
• Strong ability to identify business problems, define measurable product outcomes, and focus on value rather than delivery alone
• Experience with ML-powered products and Data Science/Engineering collaboration
• Product discovery, prioritization, outcome-driven management
• Experience making product decisions based on business KPIs within e-commerce, marketplace, advertising, or similar digital environments
• Stakeholder management with senior leadership and cross-functional teams
• Using AI tools for product discovery and decision-making
• Fluent English
• Practical experience using AI-powered assistants (e.g. ChatGPT, Claude, Copilot Chat, or similar) to improve productivity, quality, or decision-making in analysis and software delivery
• EU work permit required

Nice to have:

• Experience in AdTech or ranking and recommendation products
• Experience working with experimentation platforms and A/B testing
• Experience collaborating with platform or data teams on ML and data capabilities
• Understanding of auction-based monetization models and their product trade-offs