Note: The job is a remote job and is open to candidates in USA. Tallwave is a growth partner that helps organizations turn disconnected growth efforts into connected growth systems. The Marketing Engineer will build and operate AI Visibility measurement, automation, technical SEO, entity optimization, and experimentation capabilities while implementing changes and presenting findings to clients.
Responsibilities
- Build and run a repeatable AI visibility measurement instrument per client: prompt set organized by intent, five-signal scoring (presence, selection, response quality, citations, sentiment), repeated sampling, and a frozen denominator
- Use the analysis to guide the client's broader marketing strategy, showing where visibility findings should change 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 ChatGPT, Gemini, Perplexity, Claude, and Google AI Mode using platform APIs and Playwright, with an LLM-as-judge pipeline calibrated against hand-scored samples
- Audit crawler access for training bots (GPTBot, ClaudeBot, Google-Extended, CCBot) and retrieval bots (OAI-SearchBot, ChatGPT-User, Claude-User, PerplexityBot) across robots.txt, WAF and CDN rules, and server logs
- Diagnose rendering, redirect, canonical, and JavaScript issues that retrieval crawlers do not tolerate, using Screaming Frog, curl, and headless Chrome
- Design and implement the entity layer: JSON-LD for Organization, Product, and related types with stable identifiers, sameAs links to Wikidata and other authoritative sources, and consistent product data across owned and retailer pages
- Own or contribute to the content strategy for AI visibility: identify coverage gaps at the passage level against the prompt set, decide what to rewrite, build, or earn elsewhere, and write or brief the content
- Implement real changes, not recommendations: ship directly in client CMS and tag management where we have access, and write engineering-ready tickets with acceptance criteria where we do not
- Lead and influence client marketing, web, and engineering teams to make the changes the analysis calls for, including through legal and brand review
- Measure impact honestly using a control prompt set, log-side crawler activity, and GA4 AI referral channel groups, and say plainly when the evidence does not support a claim
- Build, monitor, and version-control the pipeline in Python with Claude Code or the Claude Agent SDK, with drift detection and Slack alerting, and present your own work to clients
- Design and run experiments that test hypotheses about what improves AI visibility, document the results, and continuously improve Tallwave’s methodology based on what we learn
- Document repeatable processes, workflows, and technical learnings so that successful approaches can be applied across clients
Skills
- The Requirements The ideal candidate will have: * 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. Direct AI Visibility/GEO experience is strongly preferred but not required
- * Working Python and SQL, and the habit of automating anything you do twice
- * Strong technical SEO and web fundamentals, including familiarity with how websites are crawled, rendered, indexed, and retrieved
- * Experience working with APIs and automating workflows
- * Deep familiarity with structured data, entity optimization, and how retrieval-augmented systems select and cite sources
- * Experience getting technical changes shipped through an enterprise engineering queue, legal review, and brand review
- * Comfort making a causal argument about performance to an audience that would prefer the platform-reported number
- * Clear writing, at the level of a pillar page or a technical specification an engineer can follow without a meeting
- * Experience presenting your own findings to clients or senior stakeholders
- * Strong problem-solving skills and the ability to investigate unfamiliar technical problems independently
- * A demonstrated curiosity about how AI systems work and a willingness to learn quickly as the technology and platforms evolve
- Position Applicants, please note the following: At this time, this position is only open to applicants who are legally authorized to work in the United States and who are living in the United States
- * You are not legally authorized to work in the United States, or
- * You are not living in the 48 contiguous U.S. states, Alaska, or Hawai'i, or
- * You will require any kind of visa sponsorship
- Nice to have * 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
- Physical Demand: This job may require sitting for long periods of time, and minimal (if any) lifting. Some travel may be required
Benefits
- We offer career growth and opportunity. We grow leaders here.
- We recognize the contributions of individuals and teams throughout Tallwave and we stop to celebrate along the way.
- We offer comprehensive Medical, Dental, Vision, Life, and 401(k) plans.
- We provide employer-paid short-term disability, long-term disability plans and life insurance.
- We offer remote work and office hours flexibility as needed.
- We trust our team and have a generous PTO policy.
Company Overview