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Obsidian is seeking a hands-on practitioner in organic growth to design and pressure-test AI-driven marketing environments. You will craft task briefs, define required documents and dashboards, and establish evaluation criteria that separate strong responses from plausible but incorrect ones.
Ideal candidates will have direct experience in organic growth or SEO, familiarity with analytics tools, and a background in building AI training or RL environments.
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.