AI Social Media Manager

📋 Description

• • Develop and execute a data-driven social media strategy aligned with brand and growth objectives across LinkedIn, X, Instagram, and TikTok
• • Leverage AI-powered tools such as ChatGPT, Jasper, and Copy.ai to ideate, generate, schedule, and optimize social media content
• • Own and maintain the comprehensive social content calendar, ensuring consistent branding, tone, and timing across all platforms
• • Analyze performance metrics using native platform analytics and Google Analytics to derive insights and continuously improve content effectiveness
• • Collaborate with Marketing, Brand, and Content teams to align social campaigns with broader company launches and initiatives
• • Establish and enforce best practices for AI usage in content creation, including tone of voice standards and content governance protocols
• • Monitor and adapt to evolving AI trends, social media platform algorithms, and industry best practices to maintain competitive edge
• • Manage end-to-end social media workflows independently, from concept to publication to performance review
• • Ensure all content adheres to brand guidelines while maximizing engagement and reach through AI-assisted optimizations
• • Utilize scheduling tools including Hootsuite, Buffer, or Sprout to plan and automate posting across multiple platforms
• • Apply AI insights to refine audience targeting, content formats, and posting schedules for higher conversion and retention
• • Maintain clear documentation of content performance, AI tool usage, and campaign outcomes for cross-functional reporting
• • Work within US time zones (EST–PST) to coordinate with remote teams and stakeholders across North America
• • Participate in video-based application and interview processes as a required step for candidate consideration
• • Stay current on platform-specific updates, content trends, and emerging AI capabilities in social media marketing
• • Drive brand consistency by translating company messaging into platform-appropriate social narratives using AI-assisted copy refinement
• • Optimize paid social amplification efforts through data-informed A/B testing and performance tracking
• • Act as the primary point of contact for AI-driven social media operations, ensuring seamless integration with marketing technology stack
• • Report on key metrics including engagement rate, follower growth, click-through rate, and ROI of AI-assisted content initiatives
• • Implement feedback loops between content performance data and AI model inputs to improve future output quality and relevance
• • Manage cross-platform content calendars with precision, ensuring alignment with product releases, promotional cycles, and company milestones
• • Maintain compliance with platform policies and brand safety standards while scaling content production using automation tools