Building an AI-Powered Job Acquisition System for Video Editors

Video editors faced a broken job market: oversaturated platforms, high competition, low response rates from generic applications, and no structured system for standing out. Time was wasted on manual searching with little return.

The core problem wasn't a lack of jobs — it was a lack of system. Editors were passive applicants in a market that rewarded proactive operators.

Built a full AI-powered job acquisition system across five components:

• AI-Driven Job Curation: Continuously sources and filters opportunities from job boards, creator ecosystems (YouTube, agencies, brands), and direct hiring signals — removing low-value listings and prioritising roles by relevance and response likelihood.
• AI-Enhanced Application Method: Replaced traditional CV-based applications with direct, targeted outreach. AI assists with message structuring, personalisation, and positioning — shifting editors from passive applicants to proactive operators.
• Weekly Opportunity Delivery: Curated job opportunities delivered directly to users weekly, eliminating manual searching and creating a consistent pipeline of relevant roles.
• AI-Powered Positioning Support: Helped users present themselves effectively with AI-refined messaging and faster iteration on outreach strategies.
• Conversion Funnel Design: Built a high-converting acquisition funnel with clear value proposition, low-friction opt-in, and outcome-driven messaging — continuously optimised using AI behavioural insights.

FasterGig transformed job searching from a passive, time-consuming process into a structured, AI-supported system. By combining curated opportunities, smarter application methods, and AI-driven optimisation, video editors were able to spend less time searching, get seen faster, and land opportunities more consistently.