Marketing Engineer & Director of AEO

About the role

We are looking for a Marketing Engineer & Director of AEO to own how our brand is discovered, understood, cited, and recommended across search engines, answer engines, AI assistants, and LLM-powered discovery surfaces. This is not a traditional SEO role. It is a systems-building marketing engineering role with AEO and technical search as the primary mandate: improving how our content, product, entities, and thought leadership appear in high-intent answers across Google, Bing, Perplexity, ChatGPT, Claude, Gemini, and emerging AI-native search experiences. The ideal candidate is a highly technical organic growth operator who can code, work with APIs and data systems, and manage production agents that help Marketing, Content, Product, Engineering, and Analytics teams move faster. As a people leader, this person will also manage and develop the web team, ensuring our web properties, technical infrastructure, analytics, and visibility roadmap are aligned to business growth priorities.

Responsibilities

• Own the technical AEO, SEO, and AI search visibility roadmap across the website, landing pages, documentation, product content, content hubs, machine-readable brand assets, answer engines, LLMs, AI search interfaces, and traditional search engines.
• Build and maintain automated workflows that monitor answer presence, citation quality, share of voice, content gaps, competitive movement, structured data health, crawl issues, and technical site performance.
• Design and manage production agents that support search visibility, content intelligence, technical QA, SERP analysis, AI answer monitoring, internal linking, schema validation, and opportunity discovery.
• Create and maintain AI-readable knowledge layers, entity maps, structured content repositories, prompt libraries, evaluation sets, and documentation that make the brand easier for machines and humans to understand.
• Partner with Engineering to ship technical SEO and AEO improvements, including structured data, site architecture, rendering fixes, canonicalization, performance improvements, internal linking systems, and scalable content infrastructure.
• Partner with Content and Brand teams to create content that performs in both classic search results and AI-generated answers.
• Build dashboards and reporting systems that connect technical visibility improvements to organic traffic, brand visibility, answer engine citations, pipeline influence, qualified demand, or revenue impact.
• Evaluate emerging LLM, search, and AI answer engine developments, then translate them into practical experiments, tooling, and operating