About LearneoLearneo 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 OverviewWe 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 into scalable solutions. - Enable data-driven decision-making across the organization. Platform as a Product
Improve the developer experience and usability of the data platform for internal teams. - Define and track platform KPIs such as adoption, reliability, and performance. Performance & Cost Optimization
Optimize infrastructure for cost efficiency and performance at scale. - Continuously evaluate tools, technologies, and processes to improve ROI. 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
Strong 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 through education & developmental reimbursements & professional workshops
Maternity & parental leave
Hybrid & remote model with flexible working hours
On-site & remote company events throughout the year
Tech & WFH stipends & new hire allowances
Employee referral program
Premium access to Quillbot
*Benefits and benefit amounts differ by region. A comprehensive list applicable to your region will be provided in your interview process. Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience! This role is eligible for hire in India. We are a virtual-first company with employees across the United States, Canada, India, Germany, and the Netherlands. Our compensation approach is market-based and varies by location while ensuring fairness, consistency, and transparency. The base pay for this role is determined by several factors, including:
Relevant professional experience
Skills and expertise
Scope and responsibilities of the role
Internal equity considerations
In addition to base salary, total compensation may include bonus, equity, and benefits. Eligibility depends on role, level, and location. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.
