Senior Product Manager

Xebia is a global, award-winning, AI-first consulting, software engineering, and training company. They help organizations turn AI strategy into production-ready solutions. Xebia operates as a single global team with client-facing teams in the US and Europe, nearshore capacity across Poland and Latin America, and an offshore hub in India in a hybrid delivery model.

• 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 and define measurable product outcomes
• Experience with ML-powered products and Data Science/Engineering collaboration
• Product discovery, prioritization, outcome-driven management
• Experience making product decisions based on business KPIs in 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) to improve productivity, quality, or decision-making
• 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 product trade-offs

Additional requirements:

• 5 years of experience in a similar position
• Knowledge of Agile, Project management tools, ML-powered products, Product discovery, Stakeholder management, Product management, Product Strategy, ML, Outcome-driven Product Management, Business KPIs, AI Tools

• 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 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

EU work permit required