Senior Product Manager

Xebia is a global AI-first, digital transformation, and engineering partner with over 25 years of experience and 5,000 professionals across 16 countries. They specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products. The team in the CEE region consists of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for notable clients such as McLaren, Aviva, Deloitte, Spotify, and others. They work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake.

• Proven experience as a Product Manager building and scaling digital products
• Experience defining product strategy and delivering medium- to long-term product objectives (6–12 months)
• Strong ability to identify business problems, define measurable product outcomes, and focus on value rather than delivery alone
• Practical experience working on ML-powered products and collaborating closely with Data Science and Engineering teams
• Strong understanding of product discovery, prioritization, and outcome-driven product management
• Experience making product decisions based on business KPIs within e-commerce, marketplace, advertising, or similar digital environments
• Excellent stakeholder management skills with experience collaborating with senior leadership and cross-functional teams
• Experience using AI-powered tools to support product discovery, research, and decision-making
• Fluent English communication skills
• Practical experience using AI-powered assistants (e.g. ChatGPT, Claude, Copilot Chat) to improve productivity, quality, or decision-making in analysis and software delivery

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
• Experience applying GenAI in a structured way within the SDLC, including workflows, prompt patterns, or tool integrations embedded into daily analytical and documentation work
• Interest in and familiarity with emerging AI-driven practices such as automation of analysis tasks, AI-supported documentation, or workflow optimization

• 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

Work from the European Union region and a work permit are required.