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Obsidian is building high-fidelity simulated work environments to evaluate and improve AI agents on real marketing work. You will design and pressure-test the Product Marketing environments, including briefs, artifacts, and judgment criteria, to reveal where strong practitioners succeed and where errors are missed.
The role involves crafting task briefs, specifying required documents and tools, and reviewing responses against strict criteria, while evaluating AI agent attempts against your own
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 Product 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.
Win/loss analysis, positioning, launch readiness and launch execution, adoption analysis, and competitive response.
Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.