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Obsidian in San Francisco builds high-fidelity simulated work environments to evaluate AI agents in marketing contexts. You will design organic growth tasks, specify required documents and dashboards, and judge AI attempts against a standard rubric.
We value hands-on experience in organic growth or SEO/AEO, fluency with GA4, Search Console, Semrush or Ahrefs, and a CMS like Contentful; experience with AI training environments or RL simulations is strongly preferred; Rubric Academy certification
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.