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Obsidian seeks a praticing Field Marketing designer to craft briefs and evaluate environments used to test AI agents in real marketing workflows. You will shape the briefs, artefacts, and decision criteria that reveal robust practitioner performance.
You will specify required documents, dashboards, personas and tool states, then review AI agent attempts against a defined standard, ensuring rigorous evaluation across multiple tools and data sources.
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 Field Marketing 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.
Event follow-up, sponsorship decisions, regional pipeline recovery, and joint planning against a named account list.
Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.