Post Production Automation Engineer

⚡ POST-PRODUCTION BUILDER WANTED

Post-Production Automation Engineer

Build the systems that make our creative team superhuman.

Role: Post-Production Automation Engineer

Location: Los Angeles, CA (Remote-Friendly)

Compensation: $120,000–$160,000

Reports to: VP of Post-Production

About TubeScience

TubeScience is a data-driven creative studio producing performance advertising at massive scale — and we’re growing fast. We’re looking for a Post-Production Automation Engineer to be the most technically sophisticated person on our post team.

The Role

This is a builder role — for someone genuinely excited about where AI and automation are taking Post-Production. You’ll own our automation and AI roadmap from day one, with the autonomy to identify problems and ship solutions without waiting to be asked. You are the product lead, the architect, and the builder — all in one.

What You’ll Own

Automation & AI Engineering

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

️ Systems Architecture & Integration

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

Scripting & Tool Development

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

R&D & Proactive Improvement

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

Collaboration & Documentation

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

What We’re Looking For

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

Expert-level Iconik MAM experience strongly preferred

Hands-on with LLMs, generative AI, and orchestration tools (n8n, Make, Zapier or equivalent)

Deep fluency in codecs, containers, color pipelines, and shared storage (e.g. LucidLink)

Adobe Creative Suite scripting experience — CEP/UXP panel dev a strong plus

Working knowledge of AWS or Google Cloud and cloud-native media workflows

Genuine passion for post-production and excitement about transforming it with technology

➕ Bonus Points

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

✨ Benefits

Health, Vision & Dental coverage

Unlimited PTO

401(k) + Matching

Life Insurance

Paid Sick Days

Paid Parental Leave