Engineering Manager, Data Platform

<div class="content-intro"><p><strong>About Learneo<br></strong>Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, all united around a shared mission of supercharging productivity and learning for everyone. We attract and scale high growth businesses built and run by visionary entrepreneurs. Each team innovates independently but has a unique opportunity to collaborate, experiment, and grow together, and they are supported by centralized corporate operations functions, including HR, Finance and Legal.</p></div><p><strong>About Quillbot</strong><br>Quillbot was founded in 2017 with a mission to help students and professionals—especially those learning English—strengthen their writing. Today, we help over 56 million people around the world create great things. Whether you're writing, designing, coding, or collaborating, Quillbot is a place where anyone can create at the speed of thought. Our AI-powered tools help you think clearly, communicate effectively, and create beautifully—across every platform, in any format, at any skill level. If you're passionate about using technology to make the path from inspiration to execution more accessible, intentional, and relevant, come join us.<br><br><strong>Role Overview<br></strong>We are looking for an experienced <strong>Engineering Manager—Data Platform</strong> to lead and scale Quillbot’s data infrastructure powering our product, AI, and growth initiatives. With over <strong>60M+ users</strong>, our data platform is critical to enabling product intelligence, experimentation, usage metering, and lifecycle marketing.</p> <p>This role is both <strong>technical and strategic</strong>—you will drive architectural decisions, build high-performing systems, and lead a team of engineers to deliver a reliable, scalable, and cost-efficient data platform. You will also treat the platform as an internal product, ensuring usability and value for cross-functional stakeholders.</p> <p><strong>Responsibilities</strong></p> <p><strong>Technical Leadership & Architecture</strong></p> <ul> <li>Own the architecture and evolution of the data platform to support large-scale, real-time, and batch data processing.</li> <li>Design systems for <strong>analytics, experimentation, event tracking, and usage metering</strong>.</li> <li>Ensure high standards of <strong>scalability, reliability, performance, and data quality</strong>.</li> <li>Drive best practices in data engineering, system design, and observability.</li> </ul> <p><strong>Team Leadership & Development</strong></p> <ul> <li>Build, mento