Key Facts

Remote From:

India

Full time

Senior (5-10 years)

English

Hard Skills

Other Skills

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Reliability
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Communication
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Leadership
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Team Management
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Mentorship
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Innovation

Roles & Responsibilities

7+ years of experience in software/data engineering, including 2+ years in engineering management
Strong experience building and scaling data platforms or distributed systems, with hands-on work in Spark, streaming, and ETL/ELT pipelines
Proficiency with cloud platforms (AWS, GCP, or Azure) and modern data stack tools; strong architecture judgment
Excellent communication and cross-functional collaboration skills, with a track record of leading large technical initiatives

Requirements:

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
Build, mentor, and lead a high-performing team of data and platform engineers with a culture of ownership and continuous improvement
Partner with Product, AI, Growth, and Marketing teams to translate data needs into scalable solutions and enable data-driven decision-making

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 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 and have employees dispersed throughout the United States, Canada, India, Germany, and the Netherlands. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed. You may also be eligible to participate in our bonus program and may be offered benefits, and other types of compensation.

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Equal Employment Opportunity Statement (EEO)

We are an equal opportunity employer and value diversity and inclusion within our company. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status. 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.

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