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

- Market-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.

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

📌 Engineering Manager, Data Platform (Bengaluru)
🏢 Learneo
📍 Bengaluru