An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Mercor is seeking a hands-on practitioner to design and pressure-test Organic Growth environments. You will create task briefs grounded in real-world organic growth work, specifying the artifacts, dashboards, personas, and tool states needed to assess performance.
The role focuses on diagnosing issues from data, prioritizing tradeoffs, planning and executing across tools, and providing rigorous judged criteria for AI agents to meet high standards.
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 Organic Growth 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.
Search and answer-engine visibility, content-led acquisition, technical and on-page diagnosis, keyword and topic prioritization, web and pricing journey optimization, and funnel diagnosis on organic traffic.
Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.