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3 дня назад

Senior Product Manager (Logistics, Customer Choice)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Релокация
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Product Manager (Logistics, Customer Choice): Building demand management and customer choice products that balance real-time delivery fleet saturation with customer ordering, with an accent on experimentation, conversion optimization, and AI-driven operational configuration. Focus on shaping data science models, managing APIs and system behavior, and coordinating complex launches across Engineering, Operations, and regional product teams.

Location: Berlin, Germany; hybrid working with attendance at the Berlin campus 2 days a week. Relocation to Berlin is supported.

Company

hirify.global is a local delivery platform operating in around 65 countries, with technology supporting delivery operations, grocery, and retail.

What you will do

  • Own the roadmap for demand management solutions that balance delivery fleet capacity with customer ordering.
  • Take features from idea to launch with Engineering by writing requirements and prioritizing the backlog.
  • Partner with Data Science to shape and evaluate models and AI-driven configurations that replace manual operational settings.
  • Run experiments and track conversion, cancellation, and fleet saturation metrics to guide product decisions.
  • Align Operations, regional product teams, engineers, and other stakeholders on priorities, trade-offs, timelines, and end-to-end service impact.

Requirements

  • 3–5 years of product management experience, ideally in marketplace, logistics, or e-commerce environments.
  • Experience managing stakeholders through execution and aligning diverse teams on complex initiatives.
  • Hands-on ownership and comfort working through details with engineers, including APIs and system behavior.
  • Ability to use data to define success measures and assess impact.
  • Experience working with data scientists and a working understanding of machine learning concepts and experimentation frameworks.
  • Ability to manage several competing priorities when operational conditions change quickly.

Nice to have

  • Experience in logistics, delivery, or other supply-and-demand balancing problems.
  • Experience building internal tools for operations teams.
  • Exposure to rules engines, ranking, or personalization systems.
  • Experience launching AI-driven product features.

Culture & Benefits

  • Hybrid work model with face-to-face collaboration at the Berlin campus 2 days per week.
  • 27 days of holiday, with an additional day in the second and third years of service.
  • €1,000 educational budget, language courses, parental support, and access to Udemy Business.
  • Health checkups, meditation, gym access, life and accident insurance, and a corporate pension plan.
  • Employee Share Purchase Plan, sabbatical bank, public transportation ticket discount, and digital meal and food vouchers.
  • Relocation support for moving to Berlin.

Hiring process

  • Prepare for interviews covering common interview questions and answers.
  • Accessibility support and interview accommodations are available on request.

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