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Data Product Manager

InPost

Full-time
Poland
product management
big data
machine learning
data science
analytics
Apply for this position

Company Description

InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 47,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe, as well as to-door courier and fulfilment services to e-commerce merchants. InPost’s lockers provide consumers with a cheaper and more flexible, convenient, environmentally friendly and contactless delivery option. 

Right now we’re  looking for an exceptional Product Manager to join our rapidly growing Data & AI domain.  In this role, you’ll help design and scale products that empower teams across InPost Group to make smarter, data-driven decisions and leverage AI for measurable business impact. 

If you’re passionate about data-driven and AI-powered innovation, thrive on collaboration, and embrace continuous learning – we’d love to meet you! 

Job Description

Your mission: 

  • Lead the development and evolution of products in the Data & AI domain – from analytics platforms to AI-powered tools – ensuring they meet business needs and deliver tangible outcomes. 

  • Manage product roadmaps and backlogs, ensuring smooth planning and on-time delivery through close collaboration with engineering, data science, and business stakeholders. 

  • Identify opportunities where data or AI can bring measurable business value, define hypotheses, and coordinate experiments or Proofs of Concept to validate them. 

  • Develop and implement effective Go-To-Market strategies for our products. 

  • Continuously improve product quality and efficiency by leveraging user feedback, data analytics, and usage insights. 

  • Drive the adoption and integration of data and AI solutions across the organization. 

Qualifications

What you’ll bring: 

  • 3+ years of experience as a Product Manager in a leading technology, consulting, or e-commerce company – combining strong technical understanding with strategic thinking. 

  • Solid foundation in data analytics, engineering, or AI/ML, enabling you to bridge technical aspects with business goals. 

  • Understanding of cloud technologies, big data environments, and/or AI platforms. 

  • Experience managing autonomous, cross-functional teams using tools and methodologies such as JIRA, Confluence, Scrum, LeSS, and Data Mesh. 

  • Outstanding communication, stakeholder management, and problem-solving skills. 

  • Fluency in English (both written and spoken). 

Nice to have: 

  • Hands-on experience with data governance, data modeling, or machine learning technologies. 

  • Familiarity with medallion architecture, star schema, or data lakehouse concepts. 

  • Knowledge of Data Mesh principles or AI lifecycle management. 

  • International work experience or exposure to global teams.

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About the job

Full-time
Poland
Mid Level
Posted 1 hour ago
product management
big data
machine learning
data science
analytics

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Data Product Manager

InPost

Company Description

InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 47,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe, as well as to-door courier and fulfilment services to e-commerce merchants. InPost’s lockers provide consumers with a cheaper and more flexible, convenient, environmentally friendly and contactless delivery option. 

Right now we’re  looking for an exceptional Product Manager to join our rapidly growing Data & AI domain.  In this role, you’ll help design and scale products that empower teams across InPost Group to make smarter, data-driven decisions and leverage AI for measurable business impact. 

If you’re passionate about data-driven and AI-powered innovation, thrive on collaboration, and embrace continuous learning – we’d love to meet you! 

Job Description

Your mission: 

  • Lead the development and evolution of products in the Data & AI domain – from analytics platforms to AI-powered tools – ensuring they meet business needs and deliver tangible outcomes. 

  • Manage product roadmaps and backlogs, ensuring smooth planning and on-time delivery through close collaboration with engineering, data science, and business stakeholders. 

  • Identify opportunities where data or AI can bring measurable business value, define hypotheses, and coordinate experiments or Proofs of Concept to validate them. 

  • Develop and implement effective Go-To-Market strategies for our products. 

  • Continuously improve product quality and efficiency by leveraging user feedback, data analytics, and usage insights. 

  • Drive the adoption and integration of data and AI solutions across the organization. 

Qualifications

What you’ll bring: 

  • 3+ years of experience as a Product Manager in a leading technology, consulting, or e-commerce company – combining strong technical understanding with strategic thinking. 

  • Solid foundation in data analytics, engineering, or AI/ML, enabling you to bridge technical aspects with business goals. 

  • Understanding of cloud technologies, big data environments, and/or AI platforms. 

  • Experience managing autonomous, cross-functional teams using tools and methodologies such as JIRA, Confluence, Scrum, LeSS, and Data Mesh. 

  • Outstanding communication, stakeholder management, and problem-solving skills. 

  • Fluency in English (both written and spoken). 

Nice to have: 

  • Hands-on experience with data governance, data modeling, or machine learning technologies. 

  • Familiarity with medallion architecture, star schema, or data lakehouse concepts. 

  • Knowledge of Data Mesh principles or AI lifecycle management. 

  • International work experience or exposure to global teams.

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