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Senior Product Manager - Search & Ranking

Catawiki AmsterdamEst. Est. EUR 72,000–108,000 / yearSenior

Estimated range based on role, country and industry — not published by the company.

Key requirements

  • Machine Learning
  • Product Management
At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car , a Woolly Mammoth’s Skeleton , Lady Gaga's Jumpsuit or Usain Bolt’s running shoe , we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. Your mission Every Product Manager at Catawiki owns a meaningful part of the customer experience. In Search and Ranking, your mission is to help buyers find the special objects they care about. You will shape how search, ranking and personalisation work across the buyer journey, making discovery more relevant and helping more buyers find objects they love. This is a broad product area. It brings together buyer needs, expert curation, marketplace priorities, search experiences and machine learning. You will identify the most important opportunities, set a clear direction and lead a cross functional team from insight to measurable customer and business impact. The solution is not prescribed. You may improve search relevance, ranking, recommendations or personalisation, or explore new AI enabled ways to help buyers discover objects. What matters is that you solve a meaningful customer problem, measure the impact and scale what works. You will own the strategy, outcomes and execution for this area, working closely with Engineering, Design, Data Science, Marketing and Commercial teams. What you will do Set and communicate a clear product vision, strategy and roadmap for Search and Ranking. Own measurable outcomes across search relevance, discovery, engagement and buyer conversion. Use behavioural data, customer research and commercial insight to identify and prioritise the biggest opportunities. Turn ambiguous customer and business problems into clear hypotheses, prototypes and executable plans. Lead initiatives from early discovery through experimentation, launch and scaling. Define success metrics and build a rigorous experimentation agenda for search, ranking and personalisation. Work with machine learning engineers and data scientists to assess model quality, test new approaches and improve customer outcomes. Improve the relevance of search results and recommendations across the buyer journey. Integrate personalisation into the customer experience in ways that feel useful, coherent and trustworthy. Design, run and evaluate experiments, using positive, negative and inconclusive results to guide decisions. Use AI and rapid prototyping to test ideas early, reduce development risk and accelerate learning. Create clarity, momentum and accountability across teams, including when priorities or incentives differ. Communicate strategy, performance, tradeoffs and recommendations clearly to senior and C level stakeholders. Who you are Three qualities matter most in this role. Outcome ownership You take responsibility for customer and business results, not only for delivering features. You stay with the problem, remove obstacles and change direction when the evidence calls for it. Systems thinking You understand how search, ranking, recommendations, auction dynamics, expert curation and marketplace health influence one another. You make thoughtful decisions across the full buyer journey. Experimental rigour You use data, research, prototypes and controlled experiments to make decisions. You learn from negative results and can distinguish meaningful

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