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Nortal is seeking a Senior Project Manager to lead AI-first software delivery at scale in Germany. You will manage distributed international teams, work closely with customers, and ensure successful project outcomes across time zones and borders.
The role emphasizes steering with both classical and agile methods and owning budget, schedule, risk, and profitability while maintaining strong communication with stakeholders.
For more than 25 years we have taken on some of the hardest digital challenges governments and enterprises face. Great software delivery is not project plans and status reports. It is the people you build, the trust you earn with a customer, and the discipline to keep improving how the work gets done. Today that means delivering with AI at the center of how we work, not at the edge of it.
AI is changing software development, and we are looking for a Senior Project Manager who wants to lead that change rather than wait it out. Someone who leads experienced international teams, works close to the customer, and already delivers AI-first.
You work with people as much as you work on projects. You stay steady under pressure, communicate with confidence, and earn trust without performing it. You coach, you delegate, and you build teams that hold together. You are self-driven and always learning. When you don't know something, you find out. When something breaks, you and your team fix it. You don't wait to be taught what you need to succeed.
You run recurring project work AI-first and make the method reusable, so the capability belongs not just to you but also to your team. You run status reports, delivery roadmaps, and KPI analysis AI-first, generated from your project data rather than assembled by hand, and you delegate defined steps to AI agents whose output you check at the points that matter. You understand AI-first SDLC: how to initiate and run a project AI-first, how to move a team from traditional to AI-first delivery, and how the roles around you shift as that happens. You handle customer-side AI constraints with judgment - public versus sensitive data, on-premise versus cloud, and what to do when a customer says no AI at all - and you can explain calmly how our licensed tools sit alongside their policies and the law.
We work at national and enterprise scale, across technology, business, and the public sector, on engagements where getting it wrong is not an option. That is the work, and it is why customers keep the hard problems for us. You would join colleagues who take the work seriously and each other's success personally.