ppMITO AI is a collaborative, AI-native platform reinventing how films, commercials, and music videos are made. We are building the operating system for a $300B+ general video production industry as it shifts to AI-native workflows. /p pMITO was founded by Iñaki Berenguer (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) Danny Saltaren (award-winning product designer at 2 tech unicorns, National Design Award recipient) and Arantxa Barcia (Art Director). /p pWe 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. /p h3Role Overview /h3 pThis role owns the data backbone that makes that possible. /p pYou 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. /p h3What You Will Own /h3 ul liDesign ingestion and processing pipelines for user events, AI outputs, asset metadata, and collaboration signals /li liArchitect event-driven systems that support real-time canvas interactions and timeline edits /li liDefine schemas for scenes, assets, storyboards, prompts, model outputs, and versioning /li liEnsure traceability across multi-model AI workflows /li /ul h3Infrastructure Performance /h3 ul liBuild scalable pipelines for high-volume creative assets (images, video, audio, embeddings)



/li liOptimize storage, indexing, and retrieval across structured and unstructured data /li liMaintain performance across collaborative sessions and multi-user editing /li liBalance cost efficiency with low latency /li /ul h3Observability Reliability /h3 ul liImplement monitoring and logging across AI calls, orchestration layers, and asset pipelines /li liEnsure reproducibility and lineage of generated outputs /li liDesign systems that tolerate model variability and partial failures /li liWork closely with AI engineers to expose structured data for orchestration and retrieval /li liPartner with frontend engineers to optimize real-time synchronization /li liSupport product in defining metrics across activation, engagement, and creative output quality /li /ul h3Technical Stack /h3 ul liKafka or event streaming systems /li /ul pbExperience with media processing pipelines is a strong plus. /b /p h3Who We Are Looking For /h3 ul li5+ years building distributed backend or data infrastructure /li liExperience with event-driven architectures and high-throughput systems /li liStrong schema design and data modeling intuition /li liComfortable working with unstructured and semi-structured data /li liStartup mindset: pragmatic, fast, accountable /li liCurious about AI-native systems and creative workflows /li /ul h3What Success Looks Like /h3 ul liCreative workflows feel instant and reliable /li liAI outputs are traceable and reproducible /li liCollaboration works in real time without breaking /li liData architecture scales as usage grows /li liEngineering moves faster because the foundations are solid /li /ul /p #J-18808-Ljbffr

📌 Senior Data Engineer (Madrid)
🏢 MITO AI
📍 Madrid