Marketing Analytics Expert - AI Environments

Obsidian; Berlin; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

Rubric Academy certification

Zusammenfassung

Obsidian is seeking a hands-on Marketing Analytics specialist to design and pressure-test AI training environments and simulated cases. You will define task briefs, required dashboards, personas and tool states, and evaluate agent attempts against defined criteria.

The role emphasizes diagnosing from messy data, prioritizing tradeoffs, planning, QA, reporting and cross-tool orchestration across marketing platforms.

Qualifikationen

• HHands-on practitioner experience in marketing analytics.
• Fluent with GA4, Amplitude, Salesforce and ad platform reporting.
• Experience building AI training environments or simulated cases preferred.

Aufgaben

• Design task briefs drawn from your own marketing analytics work and show what the task tests and how to judge the result.
• Specify documents, dashboards, personas and tool states required for realistic tasks.
• Write or review reference answers and criteria distinguishing strong from plausible-but-wrong work.

Kenntnisse

Marketing analytics

GA4

Amplitude

Salesforce

Ad platform reporting

AI training environments

RL environments

Rubric Academy

Tools

GA4

Amplitude

Salesforce

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.