ph3Overview /h3 pAs Product Owner – Search, you own the vision and delivery of one of Digitec Galaxus's most impactful user-facing surfaces. Working at the intersection of data, relevance, and UX, you translate search intelligence into measurable improvements for millions of shoppers – with high autonomy in a flat, trust-based engineering culture where outcomes matter more than output. /p h3Responsibilities /h3 ul liOwn the product roadmap for your team's domain, from discovery and prioritization through to delivery and measurement /li liDefine, prioritize, and maintain a well‑structured backlog in close collaboration with the Team Lead, designers, and engineers /li liLead product discovery – facilitate workshops, user research syncs, and cross‑team alignment to shape initiative direction before committing to solutions /li liPartner with stakeholders across Search, UX, Data Science, and other product areas to align on goals and manage expectations /li liTrack and interpret product KPIs (e.g. CTR, exit rate, conversion) to drive data‑informed decisions and evaluate initiative outcomes /li liCollaborate with engineers as peers – providing strategic direction while trusting the team's technical judgment and avoiding micromanagement /li liIdentify and challenge architectural or process constraints that limit the product's ability to scale or improve /li liKeep stakeholders informed with clear, transparent communication – shielding the team from noise while maintaining appropriate visibility /li liActively contribute to team culture, methodology improvements, and knowledge‑sharing within the broader PO community /li /ul h3Qualifications /h3 ul li3+ years of experience as a Product Owner, Product Manager or in a similar digital product role /li liBachelor's or Master's degree in Computer Science, Business Informatics, Information Systems or a related field, or equivalent practical experience /li liExperience working in agile product teams and managing product backlogs /li liSolid understanding of search technologies, including relevance, ranking, indexing, filtering and query processing /li liExperience using product analytics, interpreting A/B test results and making data‑driven product decisions /li liFamiliarity with APIs and the ability to discuss technical concepts and trade‑offs with engineers /li liKnowledge of ML/AI-powered search, including vector search, hybrid search, embedding models and LLM‑based retrieval, is a strong plus /li liExperience designing or optimizing search experiences, including filters, product listings, and instant search – an advantage /li liStrong ownership, collaboration and communication skills /li liFluent in English; German is a plus /li liThe capacity to adapt to ongoing changes in the work environment /li liA willingness to challenge "how things have always been done" and propose more efficient, automated or effective solutions /li /ul /p #J-18808-Ljbffr