Content Manager, B2B Growth Marketing

Location: Telecommute
Job Type: Contract
Compensation Range: $50 – 54 per hour

A leading national omnichannel B2B retailer is seeking a Growth Content Manager to drive organic traffic, engagement, membership, and conversions. In this role, you will leverage content as a growth engine-combining human creativity with cutting-edge AI technology to produce high-performing long- and short-form content. You will also lead Agentic Engine Optimization (AEO) and traditional SEO strategies to ensure the brand dominates traditional and AI-powered search discovery.




Responsibilities:

  • Content Strategy & Execution: Plan, create, and manage quarterly B2B content calendars in collaboration with marketing, SEO/AEO, internal teams, and external agencies.
  • AI & Workflow Optimization: Own AI prompting and workflows (using tools like ChatGPT and Gemini) to produce efficient, high-quality content; refine processes, templates, and governance while adding a vital human touch to align with brand voice.
  • AEO & SEO Growth: Identify content opportunities based on search trends, customer insights, and citation opportunities to boost visibility in traditional search and AI discovery engines.
  • Performance & Testing: Set clear goals to track traffic, leads, and conversion metrics; use a test-and-learn approach to continually optimize topics, messaging, and CTAs.
  • CMS & Asset Management: Edit, update, and govern content within enterprise CMS platforms; source or generate on-brand imagery in collaboration with design teams.

Qualifications:

  • Experience: 5+ years in content management, including 3+ years in B2B e-commerce/digital environments and 3+ years working with creative agencies.
  • Education: Bachelor’s degree in Journalism, Creative Writing, Marketing, or a related field.
  • Tech Savvy: Hands-on experience with enterprise CMS platforms (e.g., Adobe Experience Manager) and AI LLMs (Gemini, ChatGPT, etc.).
  • Data-Driven Mindset: Proven track record of setting content KPIs, analyzing performance data, and implementing continuous optimizations.
  • Core Competencies: Strong initiative, comfortable operating autonomously in fast-paced/ambiguous environments, with a test-and-learn growth mindset.

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