Engineering Manager, Data & Analytics

About the role

<div class="content-intro"><h3><strong>About Staffbase</strong></h3> <p>We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first <strong>AI-native Employee Experience Platform</strong>. Our<strong> industry-leading and award-winning agentic AI communications channels</strong> - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.</p> <p>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.<br>We are proud to be a&nbsp;<strong data-stringify-type="bold">Unicorn</strong>&nbsp;company—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.</p></div><p><strong><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Engineering Manager – Data &amp; Analytics</span></strong></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">As Engineering Manager for our Data &amp; 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.</span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">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.</span></p> <p><strong><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Our environment</span></strong></p> <ul> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Data operates on two fronts: maintaining and evolving a self-service data platform, and delivering as a product team</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">While the overall architecture direction is established for the near term, you'll shape the details and influence the technical direction as the roadmap extends into 2027 and beyond.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">You are the voice on data. Driving delivery and managing the interfaces with the broader staff engineering community available to support on high-level architectural input.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Data governance for AI agents is an emerging and fast-growing priority — a technically exciting area we're starting to build into</span></li> </ul> <p><strong><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">What you'll be doing</span></strong></p> <ul> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Lead and develop a team of 4-5 engineers: coaching, unblocking delivery, and building a product-minded data engineering culture</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 14pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 14pt;">Own t

Skills