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Obsidian is building high-fidelity simulated work environments to evaluate AI agents across real marketing workflows. You will design paid growth task briefs, specify the required documents and dashboards, and write or review reference answers and evaluation criteria.
You will also review AI agent attempts and judge them against strict standards. Ideal candidates have hands-on paid acquisition experience with owned budgets, proficiency in Google Ads, Meta Ads, and GA4, and a background in AI
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 Paid 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.
Campaign performance diagnosis, budget allocation, funnel and pipeline diagnosis, lead recovery, account-based marketing, and web and pricing journey optimization.
Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.