Marketing Engineer, AI Visibility

Tallwave • Phoenix, AZ

3d • Remote

About The Position

We’re looking for a Marketing Engineer who will be a key technical contributor to Tallwave's AI Visibility service. This role focuses on how our clients appear when users ask AI platforms like ChatGPT, Gemini, Perplexity, Claude, or Google AI Mode for recommendations or vendor shortlists. The responsibilities include measuring baseline visibility, diagnosing reasons for brand absence, implementing fixes within client organizations, and proving that the improvements are due to our efforts rather than platform changes. This position operates at the intersection of marketing, technical SEO, data, automation, and AI. While expertise in all areas is not required on day one, strong technical fundamentals, a builder mentality, and a curiosity to learn rapidly in this emerging field are essential. The role involves operating, verifying, troubleshooting, and improving automated measurement tools rather than performing tasks manually. A key aspect is identifying and automating repetitive processes. The role reports to the Head of Delivery but collaborates with strategy, product design, and marketing practitioners. A significant part of the initial work involves establishing the validity of this position and its processes in the market with clients. As the role evolves, there will be increasing ownership of AI Visibility tooling, automation, measurement methodology, and service capabilities. The core responsibility is to deliver exceptionally.

Requirements

• 3–5 years of experience in technical SEO, marketing engineering, growth engineering, marketing analytics, web development, or a related discipline.
• Demonstrated experience using AI/LLMs in marketing, search, analytics, automation, development, or another practical business application.
• Working knowledge of Python and SQL, with a habit of automating repetitive tasks.
• Strong technical SEO and web fundamentals, including understanding of website crawling, rendering, indexing, and retrieval processes.
• Experience working with APIs and automating workflows.
• Deep familiarity with structured data, entity optimization, and how retrieval-augmented systems select and cite sources.
• Experience facilitating technical changes through enterprise engineering queues, legal review, and brand review.
• Comfort making causal arguments about performance to audiences who may prefer platform-reported numbers.
• Clear writing skills, capable of producing content at the level of a pillar page or technical specification that an engineer can follow without extensive meetings.
• Experience presenting findings to clients or senior stakeholders.
• Strong problem-solving skills and the ability to independently investigate unfamiliar technical problems.
• Demonstrated curiosity about how AI systems work and a willingness to learn quickly as technology and platforms evolve.

Nice To Haves

• Experience with Profound, Peec, Scrunch, or similar AI visibility platforms.
• Experience with Adobe Experience Manager, Sitecore, or Salesforce Commerce Cloud.
• Agency or consulting background with multiple concurrent clients.
• Experience with Git/GitHub, software development workflows, testing, or CI/CD.
• Experience working with LLM APIs, agents, RAG systems, embeddings, structured outputs, or evaluation frameworks.
• Experience with data pipelines, dashboards, or marketing technology integrations.

Responsibilities

• Build and run a repeatable AI visibility measurement instrument per client, including prompt sets organized by intent, five-signal scoring (presence, selection, response quality, citations, sentiment), repeated sampling, and a frozen denominator.
• Use analysis to guide client marketing strategy, indicating where visibility findings should influence positioning, content priorities, or product and experience decisions.
• Identify opportunities to automate recurring client and delivery needs, and build or contribute to new agent workflows and service extensions.
• Automate prompt execution and scoring across major AI platforms (ChatGPT, Gemini, Perplexity, Claude, Google AI Mode) using platform APIs and Playwright, incorporating an LLM-as-judge pipeline calibrated against hand-scored samples.
• Audit crawler access for training and retrieval bots across robots.txt, WAF and CDN rules, and server logs.
• Diagnose rendering, redirect, canonical, and JavaScript issues that retrieval crawlers may not tolerate, using tools like Screaming Frog, curl, and headless Chrome.
• Design and implement the entity layer, including JSON-LD for Organization, Product, and related types with stable identifiers, sameAs links to authoritative sources, and consistent product data across owned and retailer pages.
• Own or contribute to the content strategy for AI visibility, identifying coverage gaps at the passage level, deciding on content strategy (rewrite, build, earn elsewhere), and briefing or writing content.
• Implement direct changes in client CMS and tag management systems where access is available, and write engineering-ready tickets with acceptance criteria where direct access is not possible.
• Lead and influence client marketing, web, and engineering teams to implement necessary changes, navigating legal and brand review processes.
• Measure impact honestly using control prompt sets, log-side crawler activity, and GA4 AI referral channel groups, and clearly communicate findings.
• Build, monitor, and version-control the pipeline in Python using Claude Code or the Claude Agent SDK, incorporating drift detection and Slack alerting, and present work to clients.
• Design and run experiments to test hypotheses about improving AI visibility, document results, and continuously improve Tallwave’s methodology.
• Document repeatable processes, workflows, and technical learnings to enable cross-client application of successful approaches.

Benefits

• Comprehensive Medical, Dental, Vision, Life, and 401(k) plans.
• Employer-paid short-term disability, long-term disability plans and life insurance.
• Remote work and office hours flexibility.
• Generous PTO policy.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed