[Hiring] Engineering Manager, Data Platform @Learneo

Role Description

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

• 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.