Quillbot
EngineeringManager,DataPlatform
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“Engineering Manager, Data Platform at Quillbot. Skills: Data Platform, Engineering Management, Distributed Systems, Cloud Platforms. Own the architecture and evolution of the data platform. Design systems for analytics, experimentation, event tracking, and usage metering”
What You'll Achieve.
deliver a reliable, scalable, and cost-efficient data platform; Ensure usability and value for cross-functional stakeholders; Define and track platform KPIs such as adoption, reliability, and performance; Optimize infrastructure for cost efficiency and performance at scale
What They're Looking For.
Must Have
7+ years of experience in software/data engineering, 2+ years in engineering management, technical depth, architecture judgment, 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), modern data stack tools, Proven ability to make architectural trade-offs, lead large technical initiatives, communication skills with experience working cross-functionally across business teams
Nice to Have
Experience supporting AI/ML, experimentation platforms, 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)
What You'll Do.
Own the architecture and evolution of the data platform
Design systems for analytics
Ensure high standards of scalability
Drive best practices in data engineering
and lead a high-performing team of data and platform engineers
Foster a culture of ownership
and continuous improvement
Provide technical guidance
and performance management
Partner closely with Product
Enable data-driven decision-making across the organization
Improve the developer experience and usability of the data platform
Define and track platform KPIs
Optimize infrastructure for cost efficiency and performance at scale
Continuously evaluate tools
Supporting AI research with data
How You'll Work.
Team & Collaboration
Partner closely with Product, AI, Growth, and Marketing teams to understand data needs; translate them into scalable solutions; working cross-functionally across business teams
Communication Scope
communication skills with experience working cross-functionally across business teams
Process & Methodology
lead large technical initiatives
Full Job Description
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 Produ
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