Location: Madrid (hybrid)MITO AI is a collaborative, AI-native platform reinventing how films, commercials, and music videos are made.
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We are building the operating system for a $300B+ global video production industry as it shifts to AI-native workflows.Headquartered between San Francisco (team of 2) and Madrid (team of 14), MITO combines state-of-the-artAI models for image, video, and audio with professional-grade editing tools in a multiplayer, browser-based canvas.
Master MIT, PhD Cambridge, 5x founder and CEO, founded social photo startup Pixable acquired by SingTel, founded of CoverWallet $300M exit in 4 years, founded AI infrastructure company iPronics, which has raised $50M) &award-winning product designer at 2 tech unicorns, National Design Award recipient) and Arantxa Barcia (Art Director).We are backed by Lightspeed Venture Partners and investors including Kibo, Kfund, Sequoia and a16z scouts, LifeX, Everywhere, 5 unicorn founders, and execs from Github and Roblox.This role owns the data backbone that makes that possible.You will design and scale the event, asset, and metadata architecture that powers creative collaboration, AI orchestration, and real-time editing.
This is not generic CRUD backend work — this is building the foundation of a next-generation creative system. xpzdshu Data ArchitectureDefine schemas for scenes, assets, storyboards, prompts, model outputs, and versioningInfrastructure & PerformanceBuild scalable pipelines for high-volume creative assets (images, video, audio, embeddings)Optimize storage, indexing, and retrieval across structured and unstructured dataMaintain performance across collaborative sessions and multi-user editingImplement monitoring and logging across AI calls, orchestration layers, and asset pipelinesWork closely with AI engineers to expose structured data for orchestration and retrievalPartner with frontend engineers to optimize real-time synchronizationSupport product in defining metrics across activation, engagement, and creative output qualityTypeScript • Node.js • PythonPostgres • ClickHouse • Object Storage (S3-compatible)Kafka or event streaming systemsVector databasesCloud-native deployment (Docker, CI/CD)5+ years building distributed backend or data infrastructureStrong schema design and data modeling intuitionComfortable working with unstructured and semi-structured dataData architecture scales as usage grows