AI Product Manager (f/m/n)

InPost Group is Europe’s leading out-of-home delivery partner, operating in more than 15 countries including Poland, the UK, Italy, Spain, Portugal, and France. The company operates under two brands: InPost and Mondial Relay. InPost designs and produces Automated Parcel Machines (Parcel Lockers) in-house, providing a cost-effective and greener delivery solution that reduces the carbon footprint by up to 75% compared to traditional courier deliveries. The company delivers more than 600 million parcels annually using over 25,000 lockers, with consistent growth in network and parcel volumes across all markets served.

• 3+ years of proven success as a Product Manager at a leading tech company, blending technical expertise with strategic insight.
• Strong background in business analytics, engineering, or a related discipline.
• Outstanding communication, negotiation, and problem-solving abilities.
• Extensive knowledge of ML/AI technologies and their transformative impact on user experience.
• Experience managing autonomous, cross-functional teams using methodologies and tools such as JIRA, Confluence, Scrum, LeSS, and Data Mesh.
• Fluent English communication skills.

Bonus Points for:

• Experience with cloud technologies.
• Familiarity with logistics or e-commerce sectors.
• Previous international working experience.

What Sets You Apart:

• Genuine passion for cutting-edge, data-driven innovations.
• Proactive attitude paired with strong collaborative skills.
• Openness and adaptability to diverse ideas and perspectives.

• Identify AI-driven solutions that deliver measurable business value; estimate benefits, and design and execute business experiments to validate effectiveness.
• Manage the product roadmap and backlog, ensuring smooth planning and timely delivery through close collaboration with business stakeholders, engineers, and data scientists.
• Develop and implement effective Go-To-Market (GTM) strategies for both internal and external products.
• Continuously improve product quality and performance by leveraging user feedback and product analytics.
• Drive rapid adoption and integration of AI products across the organization.