
Job Overview
Location
Remote
Job Type
Full-time
Category
Frontend Engineer
Date Posted
April 8, 2026
Full Job Description
đź“‹ Description
- • As a Frontend Engineering Intern at Chartbeat Inc., you will contribute to building and maintaining user-facing features for analytics and revenue platforms used by top media brands worldwide, helping shape the future of media strategy through real-time data insights.
- • Day to day, you will work on a small cross-functional scrum team collaborating with engineers, designers, data scientists, and product managers to plan sprint goals, develop frontend features using React or Angular and JavaScript, participate in team meetings and tech talks, and build and deploy products under the guidance of a mentor.
- • Chartbeat Inc. is a remote-first engineering team of under 50 engineers, part of a larger organization that includes Chartbeat, Tubular Labs, FatTail, and Lineup Systems, trusted by global media brands to power audience analytics and monetization solutions at massive scale.
- • Through this internship, you will gain hands-on experience with modern frontend technologies, version control (git), agile development practices (Jira), and scalable data systems, while developing professional skills in a supportive, inclusive environment focused on work/life balance and continuous learning.
Skills & Technologies
About Chartbeat Inc.
Chartbeat Inc. provides real-time and historical analytics software to digital publishers, newsrooms and media companies. The platform tracks reader engagement, attention time, page performance and content trends across desktop and mobile, offering editorial teams dashboards, headline testing, loyalty insights and traffic-source breakdowns. Founded in 2009 and headquartered in New York City, Chartbeat integrates with content-management systems and advertising stacks to help organizations optimize audience experience, increase subscriber retention and drive revenue. Its tools visualize how far users scroll, where they drop off and which articles sustain attention, enabling data-driven editorial decisions without compromising journalistic integrity.
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