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Open nowPosted 15 days ago

Product Owner Search (m/w) 80-100%

job-room.ch86,007 open roles

Where
Zürich, ZH, Switzerland
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Your applicationOpen nowProduct Owner Search (m/w) 80-100%job-room.ch · Zürich, ZH, Switzerland
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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.9%7 days
  4. 14.2%14 days
  5. 34.1%30 days
This job: posted 15 days ago

The posting

Job Informationen ######

Location: Zürich (home office possible) Workload: 80-100% Start: Immediately or by agreement, permanent Your tasks: Own the product roadmap for your team's domain, from discovery and prioritisation through to delivery and measurement Define, prioritise and maintain a well-structured backlog together with the team lead, designers and engineers Lead product discovery: facilitate workshops, user research syncs and cross-team alignment before committing to solutions Partner with stakeholders across Search, UX, Data Science and other product areas to align on goals and manage expectations Track and interpret product KPIs such as CTR, exit rate and conversion to drive data-informed decisions Collaborate with engineers as peers, providing strategic direction while trusting the team's technical judgement Identify and challenge architectural or process constraints that limit the product's ability to scale Keep stakeholders informed with clear, transparent communication and contribute to team culture and knowledge sharing Your profile: 3+ years of experience as a Product Owner, Product Manager or in a similar digital product role Bachelor's or Master's degree in Computer Science, Business Informatics, Information Systems or a related field, or equivalent practical experience Experience working in agile product teams and managing product backlogs Solid understanding of search technologies including relevance, ranking, indexing, filtering and query processing Experience using product analytics, interpreting A/B test results and making data-driven product decisions Familiarity with APIs and the ability to discuss technical concepts and trade-offs with engineers Knowledge of ML/AI-powered search such as vector search, hybrid search, embedding models and LLM-based retrieval is a strong plus Experience designing or optimising search experiences including filters, product listings and instant search is an advantage Strong ownership, collaboration and communication skills; fluent in English, German is a plus

Benötigte Skills ######

  • Deutsch
  • Englisch
  • Testing
  • Machine Learning
  • Embedded
  • UX
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