Marketing Engineer – Director of AEO

This is a fully remote position, open to applicants in Canada.

📋 Description

• Take charge of the technical AEO, SEO, and AI search visibility strategy across websites, content, answer engines, LLMs, AI search interfaces, and conventional search engines.

• Develop and sustain automated workflows that monitor answer presence, citation quality, share of voice, content deficiencies, competitive actions, structured data health, crawl issues, and technical site performance.

• Design and oversee production agents that support search visibility, content intelligence, technical QA, SERP analysis, AI answer monitoring, internal linking, schema validation, and opportunity identification.

• Create and maintain AI-readable knowledge layers, entity maps, structured content repositories, prompt libraries, evaluation sets, and documentation.

• Collaborate with Engineering on structured data, site architecture, rendering fixes, canonicalization, performance enhancements, internal linking systems, and scalable content infrastructure.

• Work alongside Content and Brand teams to produce content for both traditional search results and AI-generated answers.

• Develop dashboards and reporting systems that link technical visibility to organic traffic, brand visibility, citations, pipeline influence, qualified demand, and revenue impact.

• Assess new developments in LLM, search, and AI answer engines, translating them into experiments, tools, and operational practices.

• Document repeatable playbooks, technical standards, and workflows.

• Lead, mentor, and manage web managers and developers.

⛳️ Requirements

• Demonstrated experience in leading technical SEO, AEO, organic growth, marketing engineering, or technical content visibility initiatives with measurable business outcomes.

• Strong foundation in technical SEO, encompassing crawlability, indexation, rendering, JavaScript SEO, schema.org, structured data, XML sitemaps, robots.txt, canonical tags, internal linking, page speed, Core Web Vitals, and site architecture.

• Practical knowledge of answer engine optimization, including LLM retrievability, entity authority, citation likelihood, semantic coverage, structured content, knowledge graphs, and AI-generated answer behavior.

• Proficiency in coding or scripting sufficiently to create automation, prototypes, production workflows, API integrations, QA checks, and internal tools.

• Experience in building, operating, or managing production agents, automations, or AI workflows utilized by real teams.

• Comfortable working with APIs, crawlers, webhooks, workflow automation platforms, LLMs, prompt systems, structured datasets, and AI evaluation methods.

• Strong analytical capabilities and familiarity with querying, transforming, and interpreting data from search platforms, analytics tools, crawlers, warehouses, and third-party visibility platforms.

• Ability to collaborate effectively with Engineering, Product, Marketing, Content, Analytics, and Revenue teams.

• Proven experience managing technical or web teams, including developers, web managers, or cross-functional digital specialists.

• Familiarity with GitHub, VSCode, Git, command-line workflows, and technical documentation practices.

• Proficient in HTML, CSS, JavaScript, TypeScript, Python, SQL, or similar programming languages.

• Experience with tools such as Google Search Console, Bing Webmaster Tools, GA4, Screaming Frog, Sitebulb, Ahrefs, Semrush, Botify, Conductor, or similar platforms.

• Knowledge of schema.org, structured data validation, log analysis, crawl analysis, technical SEO QA, and content performance diagnostics.

• Familiarity with LLM and agent tools like OpenAI, Anthropic, LangChain, CrewAI, n8n, Zapier, Make, Gumloop, or comparable systems.

• Experience with data platforms like Snowflake, BigQuery, dbt, Fivetran, Census, Hightouch, Looker, Mode, Hex, Tableau, Metabase, or similar platforms.

• A bachelor’s degree in a related field is preferred; however, equivalent hands-on experience will also be strongly considered.

• Expertise in AI visibility, AEO, or answer engine monitoring platforms.

• Experience in assessing AI-native discovery environments, prompt behaviors, citation patterns, and answer quality.

• Proven experience in scaling technical search or content intelligence systems.

• Knowledge of modern data warehouse environments.

• Familiarity with entity SEO, knowledge graphs, semantic search, vector databases, or structured brand knowledge systems.

• Previous experience in B2B SaaS, AI, developer tools, fintech, marketplaces, or another technically complex domain.

🏝️ Benefits

• Consideration for hybrid or remote arrangements for exceptional candidates.

• Flexible working options.

• Wellness benefits.

• Competitive salary.

• Hands-on experience with real-world projects.

• Access to industry-leading tools.

• Opportunities for professional growth.

• Pre-employment screening checks will be required for any employment offer.