Engineering Manager (m/f/d)

💡 Your Mission

As an Engineering Manager (m/f/d) you lead a team of engineers building the products that thousands of care professionals rely on every day. You’re a former software engineer ideally a tech lead who made the move into leadership without leaving the technology behind. You grow people, shape how the team works, and still sit at the table when architecture decisions are made. You bring the energy and pace of a fast-moving scale-up and help your team ship high-quality, scalable, and reliable software – fast.

Foster an inclusive, high-trust, high-ownership culture

Create an environment where engineers feel valued, empowered, and psychologically safe – while keeping the bar high.

🤝 Your Skillset – What you bring to the table

• A strong software engineering background – you’ve built and shipped production systems yourself, ideally as a Tech Lead or Staff/Senior Engineer before moving into management

• Still hands-on: you’re comfortable going deep in technical discussions, challenging and shaping architecture and system design together with other engineers, and you keep up with modern tooling

• Proven people leadership experience as an Engineering Manager or in a similar role – you’ve hired, coached, given tough feedback, and grown engineers into stronger versions of themselves

• A strong track record in hiring and building high-performing engineering teams

• High energy, drive, and ownership – you’re fired up by ambitious goals, thrive in ambiguity, and bring momentum to everyone around you

• A fit for a fast-moving scale-up: you move quickly, prioritize ruthlessly, and are comfortable with change

• Experience building reliable, high-quality production systems with strong engineering practices (backend experience is a plus; Kotlin and mobile are a bonus)

• Ability to drive technical strategy and connect it to business and product goals

• Excellent communication and interpersonal skills, with the ability to build strong relationships across teams

• Experience working with cross-functional teams, including Product, Data, ML, CS, and GTM