Post Production Automation Engineer

TubeScience is a data-driven creative studio producing performance advertising at massive scale, and they are seeking a Post-Production Automation Engineer to enhance their post-production capabilities. The role involves owning the automation and AI roadmap, designing systems for efficiency, and collaborating with the creative team to meet technical requirements.

Responsibilities:

• Architect end-to-end automation across ingest, QC, editing, delivery, and archival
• Deploy LLMs, generative video platforms, and intelligent metadata/tagging systems
• Design agent-based workflows that eliminate manual effort
• Evaluate emerging AI tooling and own build-vs-buy decisions
• Own our Iconik MAM: custom actions, metadata schemas, transcoding, and API integrations
• Build REST API and webhook integrations across post tools and third-party platforms
• Develop automation pipelines in n8n, Make, or Zapier — or go custom in Python/JS
• Design for resilience: logging, error handling, alerting, and monitoring
• Write production-grade Python and JS/Node.js scripts across Adobe Creative Suite
• Build internal tools that give editors superpowers without exposing the complexity
• Build and maintain Adobe CEP/UXP panels inside the tools editors already use
• Audit the post pipeline for bottlenecks before the team surfaces them
• Prototype emerging tech — AI, ML, new codecs, cloud-native media workflows
• Own the Post-Production tooling roadmap with minimal oversight
• Translate Post-Production creative needs into precise technical requirements
• Align with core engineering on infrastructure, deployment, and architecture
• Document every system thoroughly so the team can run it confidently
• Serve as final escalation for complex technical issues the post team can’t resolve

Requirements:

• 4–6+ years in post-production engineering or workflow automation — high-volume advertising or broadcast preferred
• Strong Python and/or JavaScript/Node.js — clean, production-grade code
• Proven REST API integration experience with solid edge-case handling
• Genuine passion for post-production and excitement about transforming it with technology
• Deep fluency in codecs, containers, color pipelines, and shared storage (e.g. LucidLink)
• Working knowledge of AWS or Google Cloud and cloud-native media workflows
• Expert-level Iconik MAM experience strongly preferred
• Hands-on with LLMs, generative AI, and orchestration tools (n8n, Make, Zapier or equivalent)
• Adobe Creative Suite scripting experience — CEP/UXP panel dev a strong plus
• Experience with AI video generation tools (Runway, Veo, Sora) in production
• Background in high-volume performance advertising or broadcast
• Multi-step agentic pipeline design or large-scale workflow orchestration
• Open-source contributions in the media/post-production space
• Experience with data pipelines or BI tooling connected to production metadata