Full-Stack Engineer (UI/UX) – Build Next-Gen Analytics Applications
Location: Remote only · Category: Engineering & Development · Seniority: Mid-Level · Posted: September 7, 2026 · Verified: Oct 9, 2026
Role Overview & Description
Track team expansion and market signals for LayerFive
Polaris7 monitors open roles, strategic market movements, and M&A developments in real time. Get automated intelligence briefings on LayerFive and benchmark against direct competitors.
LayerFive
layerfive.comUnified marketing data, attribution and audience activation SaaS.
Unlock full company profile, competitors & live market signals for LayerFive
Similar Positions in DACH
Related roles across advertising, media, and data
The role involves developing and maintaining frontend interfaces for Gravity's data platform, ensuring a seamless user experience.
Develops and enhances user interfaces for TWIPLA's website intelligence platform, focusing on analytics dashboards and data visualization. Requires proficiency in modern JavaScript frameworks and a strong eye for UI/UX implementation.
This role focuses on building and enhancing the user interface for the workforce intelligence platform. The position involves working on data visualization, interactive dashboards, and user experience for complex data products.
Develops and maintains the core Lebesgue product, collaborating with the Data Science team to create features powered by analytics and models. Works on both frontend and backend, contributing to a robust, scalable, and user-friendly application.
More Positions at LayerFive
3 more open roles
This role drives customer success and growth initiatives from the founder's office, involving strategic account management, retention, and expansion. It requires a blend of customer-facing skills and growth-oriented strategies to maximize client value and revenue.
This role develops AI and machine learning models for predictive marketing, focusing on personalization and attribution. It requires expertise in ML algorithms, data science, and model deployment to enhance marketing performance.
This role focuses on backend development using Python and Django to build AI-driven marketing solutions. It involves designing and implementing scalable backend systems for data processing and AI integration.