Назад
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9 дней назад

Senior Product Manager (Retail Data)

70 000 - 85 000€
Формат работы
remote (только Croatia)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Croatia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Product Manager (Retail Data): Leading the Trade Dimensions product line, a retail store and business establishment reference data product, with an accent on product strategy, data quality, and cross-functional delivery. Focus on designing roadmaps, improving entity discovery and enrichment with AI, and managing complex retail location data across its full product lifecycle.

Location: Remote role associated with Zagreb, Croatia

Salary: €70,000–€85,000 yearly

Company

hirify.global is a consumer intelligence company providing retail and consumer insights through advanced analytics and data platforms across more than 100 markets.

What you will do

  • Own the vision, strategy, roadmap, and lifecycle of the Trade Dimensions retail store and business establishment reference data product line.
  • Balance market expansion, data coverage, quality, platform modernization, client commitments, and commercial growth.
  • Lead cross-functional product squads through influence, collaborating with engineering, data science, design, operations, commercial, and market teams.
  • Analyze retail, location intelligence, and competitive markets; engage customers and stakeholders to identify needs, gaps, use cases, and product improvements.
  • Manage the backlog, requirements, acceptance criteria, delivery, launch, adoption, and ongoing optimization.
  • Use AI, automation, data, and analytics to improve entity discovery, classification, matching, enrichment, quality monitoring, and product decisions.

Requirements

  • 7+ years of product management experience, including ownership of complex data, analytics, reference data, or platform products.
  • Experience with retail location, store reference, or business establishment data, including sourcing, taxonomies, hierarchies, metadata, harmonization, quality, refresh processes, and client delivery use cases.
  • Ability to lead through influence, align diverse stakeholders, manage trade-offs, and guide cross-functional teams in a dynamic environment.
  • Strong understanding of data products, APIs, analytics, entity resolution, geospatial data, AI and data science, including Gen AI for entity discovery and enrichment.
  • Understanding of software development processes and relevant platform and operational workflows.
  • Strategic thinking, market analysis, and the ability to translate insights into actionable product plans.
  • Excellent communication and presentation skills for technical and non-technical stakeholders.
  • Demonstrated commitment to understanding customer needs and delivering solutions that exceed expectations.

Culture & Benefits

  • Flexible working environment.
  • Volunteer time off.
  • LinkedIn Learning.
  • Employee Assistance Program.
  • AI tools may be used during recruitment, with human oversight and final hiring decisions made by people.

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