Product Marketing Expert - AI Environments

Mercor; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Mercor seeks a hands-on Product Marketing professional to design high-fidelity simulated work environments for evaluating AI agents in marketing contexts. You will craft briefs, artifacts, and decision criteria across CRM, analytics, and project management tools.

Your role spans diagnosing messy data, prioritizing tradeoffs, planning, QA, and coordinating multi-tool workflows. Ideal candidates have Launch management experience, a track record in product marketing, and clear written reasoning.

Qualifications

• H hands-on practitioner experience in product marketing.
• Comfortable working across CRM, product analytics, and project trackers.
• Experience building AI training environments, RL environments, or simulated case studies preferred.
• Rubric Academy or Rubric Bootcamp certification preferred.
• Clear written reasoning—explanation of why a decision is right.

Responsibilities

• Design task briefs drawn from your product marketing work to test the planted issues and correct decisions.
• Specify documents, dashboards, personas and tool states required for tasks.
• Write or review reference answers and criteria to distinguish strong responses.
• Review AI agent attempts and judge them against your standard.

Skills

Product marketing

Launch management

Cross-functional collaboration

Written reasoning

Tools

Salesforce

Amplitude

Asana

Linear

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.