Field Marketing Specialist executing events for MaintainX, a mobile work - execution platform for industrial teams. Driving pipeline through trade shows, conferences, webinars, and event marketing.
About the role
- Marketing Engineer leading AEO, SEO, and AI visibility systems for Notified’s PR and IR technology platforms. Managing web teams, automation, and technical search infrastructure.
Responsibilities
- 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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