Engineering Manager, Data Platform

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. 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.

Role Overview

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.
• Team Leadership & Development: Build, mentor, and lead a high-performing team of data and platform engineers. 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 into scalable solutions.
• Platform as a Product: Improve the developer experience and usability of the data platform for internal teams.
• Performance & Cost Optimization: Optimize infrastructure for cost efficiency and performance at scale.
• Gen AI and Automation: Supporting AI research with data, both for training and capabilities.

Qualifications

• 7+ years of experience in software/data engineering, with 2+ years in engineering management.
• Strong technical depth + architecture judgment and 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.
• Strong communication skills with experience working cross-functionally across business teams.

Bonus Points

• 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).

Benefits & Perks

• Competitive salary and annual bonus
• Medical coverage, Life and accidental insurance
• Vacation & leaves of absence (menstrual, flexible, special, and more!)
• Developmental opportunities, Maternity & parental leave
• Hybrid & remote model with flexible working hours
• Tech & WFH stipends & new hire allowances