Engineering Manager AI (all genders welcome)

Rosenxt Group; Löhne; Hybrid; EUR 140.000 - 180.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Home Office

Company restaurant

Pension plan

Corporate benefits

Zusammenfassung

Rosenxt Group in Germany is seeking an Engineering Manager AI to lead a distributed team of ML engineers and data scientists. You will drive performance reviews, set development goals, and foster a high-trust culture across countries and time zones while supporting delivery cadence and engineering quality.

You will partner with AI/Software leadership on HR and technical topics, stay current with AI/ML advances, and influence architectural decisions.

Qualifikationen

• 7+ years in software engineering including AI/ML
• 3+ years in people leadership or team management
• Proven experience managing cross-disciplinary engineering teams
• Fluent German and English; Dutch is a plus
• Degree in Computer Science, AI/ML, Software Engineering, or equivalent experience

Aufgaben

• Manage a distributed team of ML engineers and data scientists
• Lead regular 1:1s, set development goals, and drive performance reviews
• Foster a cohesive, high-trust team culture across countries/time zones
• Support delivery cadence, remove blockers, and drive CI/CD and cloud automation standards
• Collaborate with Head of AI and AI/Software leadership on HR, technical, and org topics

Kenntnisse

AI/ML

Leadership

Cross-functional teams

German & English

Ausbildung

CS/AI/Software Engineering degree

Tools

CI/CD

Cloud platforms

Jobbeschreibung

To strengthen our development team we are looking for an Engineering Manager AI (all genders welcome) Rosenxt is a forward-thinking technology group building innovative solutions for critical infrastructure in harsh environments. With divisions spanning novel sensors, autonomous robotics, and AI we operate with an agile, start-up-like spirit inside a larger, internationally operating organization where safety, reliability, and engineering excellence come first.

What you can expect

You own line management for a distributed team of Machine Learning Engineers and Data Scientists - running regular 1:1s, setting development goals, and driving performance reviews and career growth. You build a cohesive, high-trust team culture across countries and time zones, encouraging transparency, ownership, and continuous learning. You support the team's delivery cadence, remove blockers early, and drive engineering quality standards (CI/CD, code review, cloud automation, monitoring, documentation). You spot process gaps and implement improvements that help the team deliver more effectively. You build strong working relationships across Germany, the Netherlands, the US, and the UK, bridging the European engineering team with colleagues around the world. You partner with the Head of AI and the wider AI/Software leadership on HR, technical, and organizational topics. You engage credibly in technical discussions, help the team make sound architectural decisions, and represent the team to stakeholders.

What you bring

To become part of the Rosenxt family, you have a collaborative, empathetic and technically credible way of working. You should also bring: 7+ years in software engineering including AI/ML, with 3+ years in a people leadership or team management role. Proven experience managing cross-disciplinary engineering teams. Passion to stay current with developments in AI/ML and engineering practices, but also with evolving approaches to engineering management and team health. Strong coaching, feedback, and performance-management skills, with a track record of building cohesion and morale in distributed or remote teams. Excellent communication across time zones, cultures, and organizational boundaries. Fluent German and English; Dutch is a plus. A degree in Computer Science, AI/ML, Software Engineering, or equivalent professional experience. An entrepreneurial mindset, strong organizational awareness, and a servant-leadership style - you measure success by your team's performance.

Nice to have

hands-on experience with AI/ML systems in production, a background in industrial or safety-critical/regulated environments (oil & gas, subsea, energy, defense), familiarity with the EU AI Act or similar frameworks, and experience within a European parent organization.

Benefits

• Flexible working time and Home Office possible
• An open, informal corporate culture, where we celebrate success with social events
• Compatibility of work and family through our company-owned day care center
• Employer funded pension, capital accumulation benefits and discounted insurance offers (occupational disability insurance and other direct insurance policies)
• Company Restaurant (only in Wietmarschen-Lohne)
• Various in-house sports activities (EGYM Wellpass and other offers)
• Attractive leasing offers for IT-products and bikes for private use
• Corporate Benefits - employee offers in changing online shops at top conditions

Look forward to Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character.

Company information

More information about the Rosenxt Group please click here: www.rosen-nxt.com Rosenxt is a forward-thinking technology group — we are visionary architects of progress with decades of engineering excellence. As a privately owned global partner with more than 740 employees, we look far beyond tomorrow: being committed long-term, we turn opportunities into successful ventures. Tech enthusiasts through and through, we dive deep into the latest technologies. Our expertise in various technology fields such as sensors, autonomous robotics, AI, and advanced materials combined with our strong R&D mindset, allows us to develop high-tech solutions for customers in the most challenging environments, including subsea, industrial, renewables, and the integrity of the water and energy supply. Our purpose goes beyond pure business: it is about creating progress and sustainable value – for our customers, for our partners and for society at large.