Director, Creative Ops and Automation

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⚙️ SYSTEMS BUILDER WANTED Seeking an Operational Leader to Build the Infrastructure Behind TubeScience's Creative Engine 📇 Role: Creative Operations Lead 📍 Location: Los Angeles, CA (On-site) 💰 Compensation: $110-150K base + performance bonus tied to operational throughput and efficiency gains 👤 Reports to: SVP, Strategy 🚀 About TubeScience TubeScience is the leading performance video agency, blending world-class creative with real-time data to drive measurable growth. Our model is outcome-based: we invest upfront and only get paid when performance improves. We're a fast-growing, bootstrapped, profitable business with ~400 employees, producing thousands of performance ads every week for top DTC brands and Fortune 500 companies - including Farmer's Dog, HelloFresh, Rocket Money, Hims & Hers, and many others. 💡 The Opportunity The creative operations workflow is the engine behind TubeScience's output: it takes planned concepts and routes each one through strategy, production, post-production, quality control, and client delivery on a continuous cadence. Our coordinators are strong operators, and the work ships. What hasn't scaled at the same pace is the operational infrastructure around them. Today, the workflow depends heavily on manual coordination and institutional knowledge - which limits how much impact the team can have. Your mandate: build the systems, automation, and workflow architecture that unlock the team's full potential. The right infrastructure will let coordinators focus on judgment calls and problem-solving instead of mechanical execution - and give the business the operational foundation to grow. The right leader will own this end-to-end: the systems, the team, the processes, and the outcomes. 🎯 What This Role Owns The end-to-end creative operations workflow: how work is routed, assigned, tracked, and delivered across all pods, from plan through client delivery. The creative coordinator team: hiring, onboarding, performance management, and staffing decisions. Capacity planning across pods. Operational infrastructure: the systems, integrations, and automation that determine how efficiently the workflow runs. 📊 What Success Looks Like Primary Metrics End-to-end cycle time: throughput from plan to client delivery. On-time delivery rate across all active pods. Delivery cost per asset: total operational cost to move a concept through final delivery. Leading Indicators Automation coverage: share of previously manual coordination tasks handled by system-driven workflows. Utilization rates across editors and strategists. Assignment-to-skill match rate: percentage of work routed to the appropriate capability level. Mid-cycle triage resolution time: how quickly pipeline disruptions are resolved through structured process vs. ad-hoc escalation. SOP coverage: percentage of major workflows codified in documented procedures. Pipeline health visibility: percentage of leadership decisions informed by real-time dashboards vs. manual status requests. 🎬 What You'll Do Workflow Architecture & Systems Map the current-state workflow end-to-end, identify waste and bottlenecks, and redesign for efficiency and scalability. Build integrations and automation across the platform stack to eliminate manual syncing and increase coordinator efficiency. Design a systematic approach to mid-cycle triage: structured prioritization when the pipeline is disrupted, not ad-hoc escalation every time something shifts. Ensure operational workflows update when platform tools change - not weeks later when coordinators discover the mismatch in production. Leadership & Resource Allocation Lead the creative coordinator team: hiring, onboarding, performance management, and staffing decisions. Design the workload and assignment system. (The current approach works but doesn't scale - the right model needs to be built by the person in this role, not prescribed in advance.) Orchestrate capacity planning across pods: align staffing with delivery requirements, seasonal fluctuations, and growth projections so resourcing decisions happen ahead of crunch, not during it. Work with strategy leads, lead editors, growth, and production to ensure the operational layer resolves bottlenecks and maximizes creative output. Operational Improvement & Documentation Identify manual coordinator tasks that can be automated or augmented with AI, and drive implementation end-to-end. The goal: shift the team's time from mechanical execution to systems building and judgment calls that affect output quality. Own operational problems from diagnosis through shipped solution, with a measured result. Set the expectation that the team owns process fixes, not just process execution. You'll build the operating cadence that makes that real. Build and enforce standard operating procedures across all major workflows. The goal is a system that doesn't degrade when someone is out or a new coordinator ramps up. Build dashboard

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