AI Content Engineer

Role Description

Make EZO the most cited answer when IT leaders ask LLMs about ITSM and ITAM. Build the AI-native content production system that allows EZO to identify, research, and produce content that results in improving our visibility across LLMs.

North Star: Improve EZO's visibility to IT leaders — measured by LLM citation rate, AI Overview presence, search visibility on IT-leader queries, and content-attributed pipeline.

Why This Role Exists:

• IT leaders no longer start with Google; they ask ChatGPT, Claude, Perplexity, Copilot, and Gemini.
• Traditional SEO content doesn't survive that transition — it's too thin, too templated, and too easy for LLMs to ignore or summarize away.
• We need someone who can build a content production system that produces practitioner-grade, highly-cited, topically-dense content at a pace no traditional content team can match.
• This is a systems-builder role, not a writer-for-hire role. The output is both the content and the machine that produces it.

Key Responsibilities:

• Content Production System:
  • Design, build, and maintain the end-to-end content production pipeline — covering research, drafting, editorial, publishing, and measurement.
  • Produce 60+ long-form, practitioner-grade assets in year one, either personally or by running the pipeline at scale.
• Topic Architecture & Content Ops:
  • Own topic cluster architecture, internal linking strategy, and schema markup.
  • Manage CMS, taxonomy, and content structure to maximize topical authority and AI discoverability.
• LLM Visibility & GEO:
  • Track LLM citations and AI Overview presence across ChatGPT, Claude, Perplexity, Copilot, and Gemini.
  • Continuously iterate on content structure and strategy to improve citation rates and AI-native visibility.
• Cross-functional Collaboration:
  • Partner with the IT Content Creator to transform their voice, expertise, and POVs into durable, searchable, and citable assets.
  • Work closely with the CMO to align content output with pipeline and brand objectives.

Qualifications

• 3+ years in or adjacent to IT (IT ops, ITSM/ITAM, MSP, or IT content)
• 1+ year building workflows with Claude, ChatGPT, Perplexity, or Gemini APIs
• Multi-step AI workflow experience in production with accountability for output quality
• Strong editorial judgment — you can spot generic LLM content instantly
• Content-ops proficiency: CMS, schema, taxonomy, analytics, GEO/LLMO fundamentals
• Lightweight scripting (Python, JavaScript, or similar)

Preferred

• Prior content experience at a B2B SaaS company.
• Proven track record of building and maintaining a content-cluster architecture that demonstrably moved search rankings.
• Familiarity with ITAM, ITSM, or EAM software categories.