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9 дней назад

Senior Product Manager - Search & Ranking (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Netherlands
Релокация
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR
Senior Product Manager - Search & Ranking (AI): Shaping search, ranking and personalisation experiences for a large-scale marketplace with an accent on product strategy, machine learning and buyer discovery. Focus on designing experiments, improving relevance and recommendations, and turning ambiguous customer problems into measurable product outcomes.

Location: Amsterdam, Netherlands; hybrid setup with a minimum of two days per week in the office. A relocation package is available for people currently living outside the Netherlands.

Company

hirify.global is a global marketplace for buying and selling special objects, with more than 100,000 curated items auctioned each week across 80+ categories.

What you will do

  • Set the 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 opportunities.
  • Lead initiatives from discovery and prototyping through experimentation, launch and scaling.
  • Define metrics and run rigorous experiments for search, ranking and personalisation.
  • Work with engineering, machine learning, data science, design, marketing and commercial teams to improve customer outcomes.

Requirements

  • At least five years of product management experience, preferably in consumer ecommerce, marketplaces or digital products at scale.
  • Experience owning a broad product area or customer journey and defining product strategy or roadmaps.
  • Experience with search, ranking, recommendations, personalisation or other machine learning products.
  • Experience designing, running and analysing A/B tests and working with product metrics.
  • Practical understanding of machine learning concepts and experience collaborating with machine learning engineers and data scientists.
  • Strong communication, stakeholder influence, systems thinking and outcome ownership in an ambiguous environment.

Culture & Benefits

  • Broad scope and visible impact in a flat organisation serving millions of customers.
  • Learning and Development initiatives, development plans and mentorship programmes.
  • Diverse, inclusive and queer-friendly environment with colleagues from more than 60 nationalities.
  • Hybrid working through offices in Amsterdam and Lisbon.
  • Catavouchers, an additional annual day off and extra leave for work anniversaries and important life events; benefits may vary by location.

Hiring process

  • Apply with an English CV and cover letter.
  • Artificial intelligence tools may support application review, while final hiring decisions are made by the recruitment team.

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