Learneo
SaaS
EngineeringManager,DataPlatform
Neural analysis suggests this role is
optimal for Senior candidates.
“Engineering Manager, Data Platform at Learneo. Skills: Data Platform Engineering, Engineering Management, System Design, Cloud Architecture. Own data platform architecture. Design systems for analytics”
What You'll Achieve.
Deliver a reliable, scalable, and cost-efficient data platform; Ensure usability and value for cross-functional stakeholders; Define and track platform KPIs such as adoption, reliability, and performance
Industry & Context.
What They're Looking For.
Must Have
7+ years of experience in software/data engineering, 2+ years in engineering management, technical depth, architecture judgment, experience building and scaling data platforms or distributed systems, Hands-on experience with backend technologies like Node. js and JavaScript ecosystems, Real experience with systems like Spark, streaming, pipelines, Solid understanding of data pipelines, ETL/ELT processes, and analytics systems, Experience with cloud platforms (AWS/GCP/Azure) and modern data stack tools, Proven ability to make architectural trade-offs and lead large technical initiatives
Nice to Have
Experience supporting AI/ML, experimentation platforms, or growth analytics, Familiarity with frontend technologies like React. js for building internal tools or dashboards, Experience handling data systems at consumer scale (millions of users)
What You'll Do.
Own data platform architecture
Design systems for analytics
Ensure scalability and reliability
Drive data engineering best practices
Build and mentor data engineers
Foster innovation culture
Improve developer experience
Optimize infrastructure for cost
How You'll Work.
Team & Collaboration
Partner closely with Product, AI, Growth, and Marketing teams; Enable data-driven decision-making across the organization
Communication Scope
communication skills with experience working cross-functionally across business teams
Full Job Description
About Learneo 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. Role Overview We are looking for an experienced Engineering Manager—Data Platform to lead and scale Quillbot’s data infrastructure powering our product, AI, and growth initiatives. With over 60M+ users, our data platform is critical to enabling product intelligence, experimentation, usage metering, and lifecycle marketing. This role is both technical and strategic—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. Responsibilities Technical Leadership & Architecture Own the architecture and evolution of the data platform to support large-scale, real-time, and batch data processing. Design systems for analytics, experimentation, event tracking, and usage metering. Ensure high standards of scalability, reliability, performance, and data quality. Drive best practices in data engineering, system design, and observability. Team Leadership & Development Build, mentor, and lead a high-performing team of data and platform engineers. Foster a culture of ownership, innovation, and continuous improvement. Provide technical guidance, career development, and performance management. Cross-functional Collaboration Partner closely with Product, AI, Growth, and Marketing teams to understand data needs and translate them int
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