Senior Product Manager - Search & Ranking

Catawiki; Randstad; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Relocation package

Zusammenfassung

At Catawiki, the Product Manager for Search and Ranking owns a meaningful part of the customer experience across discovery, ranking and personalisation. You will shape search, ranking and recommendations and work with ML, data science, engineering, design and marketing to deliver measurable impact on buyers.

This role is based in Amsterdam with a relocation package for candidates outside the Netherlands. You will turn hypotheses into prototypes, run experiments and communicate strategy to senior

Qualifikationen

• Five+ years of product management experience, preferably in consumer ecommerce or digital marketplaces.
• Experience owning a broad product area or customer journey.
• Experience defining product strategy/roadmaps for ML or ML-enabled products.
• Comfort with product metrics, experiments and commercial performance.
• Experience designing, running and analysing A/B tests, including ML experiments.
• Ability to turn uncertain opportunities into clear hypotheses, prototypes and plans.
• Practical understanding of machine learning concepts and how models become useful product experiences.
• Experience collaborating with ML engineers and data scientists to develop customer features.
• Comfort using AI tools to prototype quickly and explore customer experiences.
• Ability to balance short-term commercial opportunities with longer term investments.
• Clear communication and influence with senior leaders without formal authority.
• Resilience and judgement in ambiguous environments.

Aufgaben

• 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.
• Prioritize opportunities using behavioural data, customer research and commercial insight.
• Turn ambiguous problems into hypotheses, prototypes and executable plans.
• Lead initiatives from discovery through experimentation, launch and scaling.
• Define success metrics and an experimentation agenda for search, ranking and personalisation.
• Collaborate with ML engineers and data scientists to improve model quality and customer outcomes.
• Improve relevance of search results and recommendations across the buyer journey.
• Integrate personalisation into the customer experience in a useful and trustworthy way.
• Design, run and evaluate experiments, using results to inform decisions.
• Use AI tools to prototype quickly and explore customer experiences.
• Create clarity and accountability across teams with shifting priorities.

Kenntnisse

Product management

Systems thinking

A/B testing

ML concepts

Data-driven decisions

Jobbeschreibung

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.

You use data, research, prototypes and controlled experiments to make decisions. You learn from negative results and can distinguish meaningful progress from activity.

You will also bring:

• At least five years of product management experience, preferably in consumer ecommerce, marketplaces or another digital product at scale.
• Experience owning a broad product area or customer journey, rather than only individual features.
• Experience defining product strategy or roadmaps for search, ranking, recommendations, personalisation or other machine learning products.
• Confidence working with product metrics, experiments and commercial performance.
• Experience designing, running and analysing A/B tests, including tests involving machine learning products.
• The ability to turn uncertain opportunities into clear hypotheses, prototypes and plans.
• A practical understanding of machine learning concepts and how models become useful product experiences.
• Experience working closely with machine learning engineers and data scientists to develop and improve customer facing features.
• Comfort using AI tools to prototype quickly and explore customer experiences.
• The ability to balance immediate commercial opportunities with longer term product and platform investments.
• Clear communication skills and the ability to influence senior leaders without relying on formal authority.
• The pace, resilience and judgement to maintain a high standard of execution in an ambiguous environment.

Where you will be

This role is based in Amsterdam. We offer a relocation package for people currently living outside the Netherlands.