Engineering Manager, Data Platform

About Us

Quillbot was founded in 2017 with a mission to help students and professionals strengthen their writing. Today, we help over 56 million people around the world create great things. Whether you're writing, designing, coding, or collaborating, Quillbot is a place where anyone can create at the speed of thought. Our AI-powered tools help you think clearly, communicate effectively, and create beautifully—across every platform, in any format, at any skill level. If you're passionate about using technology to make the path from inspiration to execution more accessible, intentional, and relevant, come join us.

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 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 are committed to equal pay for equal work, and all compensation decisions are made using consistent, gender-neutral criteria in alignment with pay transparency requirements

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