Marketing Engineer – Director of AEO

Job not on LinkedIn

🕒 September 21

🇨🇦 Canada – Remote

💵 $150k - $200k / year

⏰ Full Time

🔴 Lead

🎡 Marketing

Apply Now
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Logo of Equiniti

Equiniti

5001 - 10000 employees

Founded 2007

💸 Finance

🏢 Enterprise

🤝 B2B

Finance • Enterprise • B2B

Equiniti is a leading provider of shareholder, pension, and remediation services, with significant operations in the UK, US, and globally. The company offers an array of services for individuals and organizations including share registration, investor relations advisory, employee benefits, retirement solutions, and customer management solutions. Equiniti specializes in transforming the retirement and pensions markets with advanced administration and technology solutions, as well as providing comprehensive business solutions like global payments and governance services. With strong capabilities in client portals and data solutions, Equiniti supports over 40 million shareholders, members, and customers worldwide, including a significant presence among the S&P and FTSE 100 companies.

📋 Description

• Own the technical AEO, SEO, and AI search visibility roadmap across websites, content, answer engines, LLMs, AI search interfaces, and traditional search engines • Build and maintain automated workflows monitoring 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 supporting 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 • Partner with Engineering on 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 for classic search results and AI-generated answers • Build dashboards and reporting systems connecting technical visibility to organic traffic, brand visibility, citations, pipeline influence, qualified demand, and revenue impact • Evaluate emerging LLM, search, and AI answer engine developments and translate them into experiments, tooling, and operating practices • Document repeatable playbooks, technical standards, and workflows • Lead, coach, and manage web managers and developers

🎯 Requirements

• Proven experience leading technical SEO, AEO, organic growth, marketing engineering, or technical content visibility programs with measurable business impact • Strong technical SEO foundation, including 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 • Hands-on understanding of answer engine optimization, including LLM retrievability, entity authority, citation likelihood, semantic coverage, structured content, knowledge graphs, and AI-generated answer behavior • Ability to code or script well enough to build automation, prototypes, production workflows, API integrations, QA checks, and internal tools • Experience building, operating, or managing production agents, automations, or AI workflows used by real teams • Comfort working with APIs, crawlers, webhooks, workflow automation platforms, LLMs, prompt systems, structured datasets, and AI evaluation methods • Strong analytical skills and comfort querying, transforming, and interpreting data from search platforms, analytics tools, crawlers, warehouses, and third-party visibility platforms • Ability to partner 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 • GitHub, VSCode, Git, command-line workflows, and technical documentation practices • HTML, CSS, JavaScript, TypeScript, Python, SQL, or similar languages • Google Search Console, Bing Webmaster Tools, GA4, Screaming Frog, Sitebulb, Ahrefs, Semrush, Botify, Conductor, or similar tools • Schema.org, structured data validation, log analysis, crawl analysis, technical SEO QA, and content performance diagnostics • LLM and agent tooling such as OpenAI, Anthropic, LangChain, CrewAI, n8n, Zapier, Make, Gumloop, or comparable systems • Data platforms such as Snowflake, BigQuery, dbt, Fivetran, Census, Hightouch, Looker, Mode, Hex, Tableau, Metabase, or similar platforms • Bachelor’s degree in a related field preferred; equivalent hands-on experience will also be strongly considered • Experience with AI visibility, AEO, or answer engine monitoring platforms • Experience evaluating AI-native discovery environments, prompt behaviours, citation patterns, and answer quality • Experience scaling technical search or content intelligence systems • Knowledge of modern data warehouse environments • Experience with entity SEO, knowledge graphs, semantic search, vector databases, or structured brand knowledge systems • Experience in B2B SaaS, AI, developer tools, fintech, marketplaces, or another technically complex category

🏖️ Benefits

• Hybrid or remote arrangements may be considered for exceptional candidates • Flexible work options • Wellness benefits • Competitive pay • Hands-on experience and real-world projects • Access to industry-leading tools • Professional growth opportunities • Pre-employment screening checks are required for any employment offer

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