AI-powered media production and content optimization at scale
Melotech combines Roblox, Python, Kubernetes, and ML infrastructure to automate content creation and optimize distribution across social platforms. The tech stack reveals a pipeline from production (Roblox Studio, creative workflows) through inference and A/B testing to multi-channel ad deployment (Facebook, YouTube, TikTok, Snapchat). The hiring mix—dominated by interns and marketing roles, with significant engineering and design presence—suggests a scaling production operation wrestling with quality-at-speed and infrastructure simplification, not a typical SaaS vendor.
Notable leadership hires: Head of Performance Marketing, Creative Director, Head of Platform, Investment Lead
Melotech creates AI-generated or AI-optimized media content for entertainment consumption, distributing across Roblox, YouTube, TikTok, Snapchat, and Instagram. The company operates a vertically integrated stack: creative production workflows powered by AI video systems, centralized data modeling and inference for content optimization, and real-time campaign orchestration across ad networks. Active projects include scalable ML infrastructure for media datasets, large-scale A/B testing, and multi-asset investment fund creation. The organization is based in Berlin with hiring across Germany, the United States, and the United Kingdom.
Melotech runs Roblox and Lua for content creation, Python and Node.js/Next.js for backend services, Kubernetes for orchestration, and AWS for infrastructure. Distribution spans Facebook Ads Manager, YouTube Ads, TikTok Ads Manager, Snapchat Ads, and Instagram.
Active projects include scalable AI video production workflows, inference systems for content optimization, end-to-end data flow models, large-scale A/B testing, and multi-asset investment fund creation.
Other companies in the same industry, closest in size