Senior Product Manager

You will be:

• 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.

Your profile:

• 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, or similar) 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 more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily analytical and documentation work,

• interest in and familiarity with emerging AI-driven practices (e.g. automation of analysis tasks, AI-supported documentation, or workflow optimization), with a willingness to explore and experiment beyond standard approaches.

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

Recruitment Process:

CV review – HR call – Technical Interview – Client Interview – Decision