À propos
Partner directly with clients to develop and operationalize GEO measurement strategies across AI-powered search experiences Support Seer’s GEO Test & Learn initiatives by defining hypotheses, establishing testing methodologies, identifying success metrics, and evaluating causal relationships between marketing activities and business outcomes Distinguish correlation from incrementality through thoughtful experimental design and analytical rigor Work cross-functionally with SEO, Paid Media, Creative, and Data teams to evaluate how AI-driven customer experiences influence awareness, behaviors, conversions, and loyalty Help clients evolve beyond traditional funnel reporting toward modern measurement frameworks that reflect nonlinear customer journeys Use Claude and other AI tools to generate analytical outputs, then translate those findings into clear, confident narratives for client stakeholders and executive audiences Requirements:
You have deep expertise in platforms such as Google Analytics 4 and Adobe Analytics, including implementation, auditing, QA, and strategic measurement planning You have experience designing scalable measurement frameworks tied to business outcomes rather than vanity metrics You have experience designing and evaluating Test & Learn programs, including hypothesis development, success criteria, incrementality measurement, and causal inference methodologies You are eager to learn GEO (Generative Engine Optimization) measurement. This is an emerging discipline and we will build this capability together. What matters is your curiosity and analytical instincts, not existing credentials You have Tag Management System (TMS) strategy & expertise with platforms such as Google Tag Manager, Tealium iQ, and Adobe Launch You have exposure to JavaScript, HTML, CSS, Dev Tools, and data layer architecture You are comfortable working in BigQuery or similar cloud data warehouses to query, validate, and interpret measurement data You have strong communication skills with the ability to explain technical concepts and analytical findings to non-technical stakeholders, including executive audiences You have advanced analytics implementation expertise involving behavioral tracking, ecommerce measurement, experimentation frameworks, and business outcome measurement You are comfortable discussing incrementality, lift analysis, holdout methodologies, and causal inference concepts You have the ability to work effectively in AI tools particularly Claude to accelerate analysis, structure findings, and produce client-ready outputs You have strong organizational and project management capabilities You are able to communicate effectively with technical and non-technical stakeholders, including translating data findings into executive-ready narratives You have a genuine curiosity around emerging AI technologies and how they impact discoverability, customer behavior, and digital measurement You have a passion for mentoring teammates and elevating analytics capabilities across teams Benefits:
Total compensation for this role is 75,000-95,000 Your final offered compensation will be determined by your skills and experience Evaluation of comp at least once a year Benefit highlights
Compétences linguistiques
- English
Avis aux utilisateurs
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