Data Product Manager

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.