An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Obsidian is building high-fidelity simulated work environments to stress-test AI agents in marketing. You will design and pressure-test Paid Growth environments, specifying briefs, artifacts, and criteria, and review AI attempts against your standard.
The role covers diagnosis, prioritization, planning, QA, and orchestration across multiple marketing tools and dashboards. Prior experience and a deep understanding of paid acquisition are essential.
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.