Engineering Manager - Fintech Engineering (m/f/n)

Employment: Full-time Experience level: Mid-Senior Level Job Description Your key responsibilities: Lead and develop the team – hire, onboard, and mentor 4–5 senior engineers, holding a high engineering quality bar through regular 1:1s, growth planning, and performance management. Co-author the product roadmap – partner with the PM to bring engineering constraints and opportunities into quarterly planning, rather than simply receiving it. Own delivery end-to-end – drive sprint planning, dependency mapping, risk identification, and stakeholder expectation management across the team's domain. Provide technical leadership – uphold code review culture, testing standards, and architectural direction in partnership with the Staff Engineer, while promoting engineering excellence. Drive an AI-first, agentic team culture – embed agentic tools into daily workflows, enforce harness adoption, and track data-driven delivery metrics (DORA, cycle time, harness adoption). Own incident response for the team's domain – lead post-mortems and remediation, ensuring reliability and continuous improvement. Qualifications Must have: 7+ years of experience in backend software development. 2+ years of experience in people leadership (direct management of engineers). 2+ years of experience in the payments or fintech product domain. Very good command of English (B2+) in speech and writing. Strong technical credibility, with active engagement in architecture and code review, not removed from it. Experience in delivery management: sprint planning, dependency tracking, risk management, and DORA metrics. Product co-ownership mindset – experience shaping roadmaps and backlogs in close partnership with Product Management. University degree in Information Technology, Computer Science, or a related field. Proficiency in leveraging AI tools and large language models (e.g., GitHub Copilot, ChatGPT, Claude) to enhance productivity, accelerate development, and solve complex problems. Ability to critically evaluate AI-generated outputs and apply them responsibly within professional workflows. Data-driven approach to management, acting on metrics such as cycle time, deployment frequency, defect rates, and team health rather than impressions alone. Direct, clear communication style with stakeholders at all levels, including senior leadership. Nice to have: Experience in platform or infrastructure team management. Exposure to OKR / goal-setting frameworks for engineering teams. Familiarity with compensation and leveling frameworks. Experience designing engineering culture in agentic / AI-native environments. Cloud certifications (AWS, Azure, GCP). Additional Information Why InPost? Opportunity to work in a  diverse ,  international , and  cross-functional environment,  along with leading  experts .  You work and learn from a senior leader and their leadership team, expanding your experience and exposure in the e-commerce and logistics industries.   InPost is a growing company that offers its people an increasing number of opportunities in several locations in Europe.  Fulfilling careers with a  range of benefits  for people and investing in providing  training opportunities  for their development.  You will feel a part of the InPost community that makes an impact on sustainability, convenient deliveries, and the circular economy every day.  Excellent working environment and flexible hours We offer B2B type of contract Company Description InPost Pay is building its own fintech platform from the ground up. It’s a large-scale, international initiative where engineers will have the opportunity to shape the architecture, build core fintech components, and create solutions designed to operate at InPost’s scale. We’re building a lean, highly effective engineering organization in Poland, with AI-native engineering at its core . We’re looking for strong engineers who are comfortable with agentic engineering, from experienced professionals building complex systems and engineering tooling to a new generation of engineers who have embraced AI-driven development from the start of their careers.