About the work 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 Product Marketing environments: the briefs, the artifacts, the judgment calls a robust practitioner would make, and the errors a weaker one would miss.
What you will do Design task briefs drawn from work you have actually done in product marketing, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
Specify the documents, dashboards, personas and tool states a realistic version of that task requires
Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
Review AI agent attempts and judge them against your own standard
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.
Product Marketing scope Win/loss analysis, positioning, launch readiness and launch execution, adoption analysis, and competitive response.
Who we are looking for Hands-on practitioner experience in product marketing — you have owned launches, positioning and enablement, not only managed people who do it
Comfortable working across a CRM such as Salesforce, product analytics such as Amplitude, and a project tracker such as Asana or Linear
Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
Rubric Academy or Rubric Bootcamp certification is strongly preferred
Clear written reasoning — much of the value is in explaining why a decision is right
Screening Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.

#J-18808-Ljbffr

📌 Product Marketing Expert - AI Environments (Ontario)
🏢 Mercor
📍 Ontario