AI Engineering Manager (m/f/n)

InPost Group is an innovative European out of home deliveries company providing a network of intelligent lockers across several countries, focusing on sustainable and efficient delivery solutions. The company operates a large FMCG e-commerce offering over 300,000 products, collaborating with more than 300 sellers, and its mobile app has been downloaded by nearly 1.5 million users in Poland.

• At least seven years of post-BS or post-MS experience in an engineering role.
• Experience leading high-performing Agile development teams and strong understanding of Agile principles and methodologies.
• Hands-on contribution to strategic projects while leading the team.
• Proven track record delivering scaled, impactful products powered by machine learning.
• Experience building backend platforms supporting multiple product lines.
• Strong technical judgment with ownership of results, quality, and team development.
• Effective communication with stakeholders, ability to influence, negotiate, and translate business objectives into technology decisions.
• Ability to work independently and approach challenges creatively and pragmatically.
• Fluency in Polish and English.
• University degree in computer science, mathematics, econometrics, statistics, or related fields.

• Lead a multidisciplinary engineering team of approximately 10–15 people working with AI technologies, supporting their growth, autonomy, and effective collaboration.
• Own the AI Engineering strategy and contribute to the development of products powered by machine learning and AI-native technologies.
• Partner with product managers and key stakeholders to define requirements, priorities, delivery plans, new features, and product enhancements.
• Establish standards and processes for building AI-native products, including CI/CD with evals, test sets, and search subsystems.
• Select and implement best-in-class open-source and commercial tools, including MCP Servers, A2A communication, CI/CD pipelines, workflows, and agent definitions.
• Guide the development of new AI-native workflows involving streaming, long-running tasks, and procedural UX.
• Drive improvements in system architecture, application design, and engineering processes.
• Contribute to hiring, onboarding, and professional development of team members while supporting a diverse and inclusive workplace.
• Collaborate with strategic vendors and technology partners on partnerships, service agreements, and external innovation.