Marketing Analytics Expert - AI Environments - AI Trainer

Obsidian; Philadelphia (Philadelphia County); On-site; USD 90,000 - 130,000; Full time

Job summary

Obsidian is creating high-fidelity simulated marketing environments to test AI agents on real marketing work. You will design and pressure-test the Analytics environments, including briefs, artifacts, and the judgment criteria used to evaluate agents.

We look for hands-on practitioners in marketing analytics with fluency in GA4, Amplitude, Salesforce, and ad reporting, plus experience building AI training or RL environments is preferred.

Qualifications

• Hands-on experience in marketing analytics.
• Experience drafting briefs, artifacts, and evaluation criteria.
• Ability to explain decisions with clear reasoning.

Responsibilities

• Design task briefs that reflect real marketing analytics work.
• Specify documents, dashboards, personas, and tool states needed.
• Write or review reference answers and selection criteria.
• Review AI agent attempts and judge against standard.

Skills

GA4

Amplitude

Salesforce

Ad reporting

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 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.