SEO Expert - Organic Growth Specialist

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

Zusammenfassung

Mercor in Berlin seeks a hands-on expert to design and pressure-test Organic Growth environments for AI training scenarios. You will craft briefs, specify artefacts, and set criteria to distinguish strong responses from plausible ones.

Responsibilities span diagnosing issues from messy data, prioritizing trade-offs, planning multi-tool workflows, QA and reporting. A proven background in organic growth or SEO, plus experience building AI training environments, is essential.

Qualifikationen

• Hands-on practitioner experience in organic growth or SEO/AEO — you have owned this work, not only managed people who do it
• Fluent in the tools of the domain: Google Analytics 4, Google Search Console, Semrush or Ahrefs, and a CMS such as Contentful
• 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

Aufgaben

• Design task briefs drawn from work you have actually done in organic growth, 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

Kenntnisse

Organic growth / SEO

Evidence-based reasoning

Task design

Ausbildung

Rubric Academy certification

Tools

Google Analytics 4

Google Search Console

Semrush

Ahrefs

Contentful CMS

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 Organic Growth 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 organic growth, 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.

Organic Growth scope

Search and answer-engine visibility, content-led acquisition, technical and on-page diagnosis, keyword and topic prioritization, web and pricing journey optimization, and funnel diagnosis on organic traffic.

Who we are looking for

• Hands-on practitioner experience in organic growth or SEO/AEO — you have owned this work, not only managed people who do it
• Fluent in the tools of the domain: Google Analytics 4, Google Search Console, Semrush or Ahrefs, and a CMS such as Contentful
• 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.