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Obsidian seeks a hands-on lifecycle/CRM marketing expert to design and pressure-test realistic environments for evaluating AI agents in marketing tasks. You will define task briefs, required documents and tool states, and craft reference answers with clear decision criteria.
You will also review AI agent attempts, judge quality against your rubric, and analyze messy data to plan, execute, QA, and report across multiple tools.
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 Lifecycle 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.
Contact strategy, milestone campaigns, customer communications, deliverability and list health, and lifecycle portfolio optimization.
Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.