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ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 1 мСсяц Π½Π°Π·Π°Π΄

Product Manager (AdTech)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle/senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Germany
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify RU Global, списка ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ с восточно-СвропСйскими корнями
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR

Product Manager (AdTech): Driving the strategy, development, and adoption of a platform that transforms large-scale commerce and advertising data into meaningful insights for advertisers, brands, and internal stakeholders with an accent on shaping brand performance, audience insights, and campaign outcomes. Focus on building data products to better understand customers, measure impact, and make smarter investment decisions across retail media network.

Location: Must join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week

Company

hirify.global is the world’s pioneering local delivery platform operating in over 70 countries, enabling creative minds to deliver solutions that create impact within our ecosystem.

What you will do

  • Define and drive the product strategy and roadmap for the Brand & Data Insights platform.
  • Develop data products that provide actionable insights on brand performance, customer behavior, and campaign effectiveness.
  • Partner with Data Engineering, Data Science, and Analytics teams to design scalable data models, pipelines, and insight generation frameworks.
  • Work with Frontend, Backend, and UX teams to create intuitive products that surface complex insights.
  • Drive initiatives that improve data quality, consistency, and governance across multiple data sources.

Requirements

  • 5+ years of Product Management experience building data platforms, analytics products, or insight-driven tools.
  • Strong understanding of retail media, e-commerce, quick commerce, or digital advertising ecosystems.
  • Experience working closely with Data Engineers, Data Analysts, and Data Scientists on large-scale data initiatives.
  • Solid understanding of modern data architectures.
  • Proven ability to collaborate with engineering, design, data, and commercial teams.

Nice to have

  • Familiarity with AI-driven data products or advanced analytics.

Culture & Benefits

  • Hybrid working model, joining the team for face-to-face connection and collaboration in Berlin campus 2 days a week.
  • 27 days holiday with an extra day on 2nd and 3rd year of service.
  • Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform.
  • Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy.
  • Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan.
  • Digital Meal Vouchers, Food Vouchers, Corporate Discounts.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’