aiproduct managementdata scienceapisdata analyticsdata qualitygeospatial dataentity resolutionretail data
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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€70к-85к/год
€70к€78кмедиана€120к
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У роли понятная ответственность за крупный продукт на основе данных и сильное взаимодействие с разными командами, но требование узкой экспертизы в розничных данных может ограничить переносимость опыта.
?Узкая экспертиза
Понятная зона ответственности
Работа с AI
Международный масштаб
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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