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Mercor, a London-based team building high-fidelity simulated work environments to evaluate AI agents in marketing operations, seeks a hands-on Marketing Operations professional. You will design task briefs, specify documents and tool states, and help define reference answers and evaluation criteria for strong performance.
You will diagnose data, prioritize tradeoffs, plan and execute across multiple tools, review AI agent attempts, and contribute to the end-to-end testing of marketing workflows
We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each environment reproduces a marketing org's actual tool surface — email, storage, CRM, project management, social media management, web analytics, AEO/SEO, ads, CMS, product analytics and support — populated with realistic documents, dashboards, personas and deliberately planted problems.
You will help design and pressure-test the Marketing Operations environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.
Tasks span the capabilities we measure: diagnosing what happened from messy or conflicting data, prioritizing and making tradeoffs, planning and executing, QA and reconciliation, triage and escalation, research and evaluation, reporting, and orchestrating multi-step work across several tools.
Lead routing, workflow design, campaign operations, agency and process transitions, and orchestration across the marketing and sales stack.
Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.