Product Marketing Expert - AI Environments

Mercor; Toronto; On-site; CAD 70,000 - 110,000; Full time

Job summary

Mercor is 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.

Qualifications

• Hands-on practitioner experience in product marketing with ownership of launches, positioning, and enablement.
• Comfort with CRM platforms (Salesforce), product analytics (Amplitude), and project trackers (Asana/Linear).
• Experience building AI training environments, RL environments, or simulated case studies is preferred.
• Rubric Academy or Rubric Bootcamp certifications are preferred.
• Clear, written reasoning showing why a decision is correct.

Responsibilities

• Design task briefs drawn from your past product marketing work, specifying what is tested and the decision expected.
• Specify required documents, dashboards, personas, and tool states for realistic task scenarios.
• Write or review the reference answer and scoring criteria that distinguish strong responses.
• Review AI agent attempts and judge them against your standard.

Skills

Product marketing experience

Launch ownership

Positioning

Enablement

Salesforce

Amplitude

Asana

Linear

AI training envs

RL environments

Simulated cases

Rubric Academy

Rubric Bootcamp

Written reasoning

Job description

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 strong 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.