AI Products Developer

InPost is a leading out-of-home (OOH) e-commerce enablement platform in Europe, founded in 1999. The company operates a network of over 64,000 Automated Parcel Machines (APMs) and more than 30,000 pick-up and drop-off (PUDO) points across nine European countries, supporting parcel delivery volumes with technology-driven logistics solutions.

• 4+ years in Product Management or Product Ownership roles.
• Experience delivering AI, ML, GenAI, or data-driven products.
• Strong stakeholder management and business analysis experience.
• Practical understanding of LLMs, RAG, agents, prompt engineering, and AI evaluation frameworks.
• Experience defining KPIs, business cases, and value-tracking models.
• Familiarity with platforms such as Azure, Databricks, Power BI, Microsoft Copilot, and LLM APIs.
• Excellent communication and influencing skills.
• English proficiency at C1 level or above.

Nice to have:

• Product or Agile certifications (PSPO, CSPO, SAFe PO/PM).
• Logistics, e-commerce or supply-chain industry experience.
• Basic knowledge of Python and SQL.
• Experience working in international, cross-market environments.

Own the AI product vision and roadmap:

• Define and evolve the vision, roadmap, and backlog for AI products.
• Prioritise opportunities based on business value, effort, risk, and strategic alignment.
• Balance quick wins with long-term platform investments.
• Communicate priorities, trade-offs, and roadmap decisions to stakeholders and leadership teams.

Frame problems and define value:

• Partner with business experts to identify high-value opportunities and uncover the root business problem.
• Translate business needs into product requirements, user stories, and acceptance criteria.
• Define business KPIs and success metrics before development begins.
• Build business cases around productivity gains, revenue impact, and operational efficiency.

Lead AI product delivery:

• Drive the product lifecycle from discovery through validation and deployment.
• Maintain a healthy backlog and facilitate planning, prioritisation, and reviews.
• Make scope and prioritisation decisions while managing dependencies and stakeholder expectations.
• Validate delivered outcomes against agreed business measures before release.

Drive adoption and business enablement:

• Promote successful adoption of AI solutions across the organisation.
• Support change management, training, and user enablement initiatives.
• Monitor usage, value realisation, and business impact.
• Identify opportunities to scale, iterate, or retire solutions based on measurable outcomes.

Shape the future AI ecosystem:

• Champion reusable solutions that can scale across markets and business functions.
• Collaborate with IT, Security, and Data Governance teams to ensure compliance and scalability.
• Contribute to the evolution of AI standards, tools, and operating models.
• Stay on top of AI and GenAI trends and bring relevant innovations into the business.

Remote cooperation within Poland only.