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Staffbase is seeking an Engineering Manager for Data & Analytics in Berlin. You will lead a team of 4-5 engineers, balancing hands-on technical work with people management, and align delivery with the overall engineering roadmap.
You’ll collaborate with stakeholders on sequencing and prioritization while shaping the data strategy for AI agents. You will influence architectural decisions, ensure product-minded data delivery, and drive data governance as a priority, extending the roadmap toward
We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first AI-native Employee Experience Platform. Our industry-leading and award-winning agentic AI communications channels - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.
Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis–St. Paul, our diverse team of 550+ employees supports 1,500+ customers—reaching over 14 million employees—in transforming their employee experience.
We are proud to be aUnicorncompany—privately valued at over $1 billion—demonstrating strong growth, innovation, and lasting impact in our industry. Together, we’re shaping the future of workplace communication.
Engineering Manager – Data & Analytics
As Engineering Manager for our Data & Analytics team, you will lead a team of 4-5 engineers while staying meaningfully hands-on as a technical player-coach. This is not a traditional management role. You are someone with a strong and senior data engineering background who genuinely wants to step into management. You will own the team's delivery, drive stakeholder alignment, and bring the technical depth needed to develop your team and keep us on the right track.
You will work closely with the Director of Engineering and product stakeholders, on sequencing, prioritization, and roadmap negotiation — with enough technical grounding to make sound decisions and mentor engineers day to day.
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