Marketing Analytics Expert - AI Environments

Mercor; Berlin; Vor Ort; EUR 55.000 - 85.000; Vollzeit

Zusammenfassung

Mercor is building high-fidelity simulated work environments to evaluate and improve AI agents in real marketing work. You will help design briefs, artifacts, and the judgment criteria that a strong practitioner would reach.

You will specify documents, dashboards, personas and tool states required, write or review reference answers and criteria, and review AI agent attempts against your standards. This role spans diagnosing data, prioritizing, planning, QA, reconciliation, and orchestration

Qualifikationen

• Hands-on practitioner experience in marketing analytics.
• Proficient with GA4, Amplitude, and Salesforce.
• Ability to design test briefs and evaluation criteria.
• Clear written reasoning to explain decisions.

Aufgaben

• Design task briefs that reveal planted issues and key decisions.
• Specify required documents, dashboards, personas, and tool states.
• Write or review reference answers and success criteria.
• Review AI agent attempts against your standard rubric.

Kenntnisse

Marketing analytics

GA4

Amplitude

Salesforce

Ads reporting

Written reasoning

Tools

GA4

Amplitude

Salesforce

Ads platforms

Jobbeschreibung

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 Marketing Analytics 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 marketing analytics, 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.

Marketing Analytics scope

Anomaly detection, channel-performance synthesis, cross-source reconciliation, attribution and incrementality reading, and reporting that supports an actual decision.

Who we are looking for

• Hands-on practitioner experience in marketing analytics — you have owned this work, not only managed people who do it
• Fluent in the tools of the domain: Google Analytics 4, a product analytics tool such as Amplitude, a CRM such as Salesforce, and ad platform reporting
• 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.