SEO & AI Content Optimization Lead

Kaufman Rossin Co.; Miami (FL); Hybrid; USD 90,000 - 150,000; Full time

Job summary

Kaufman Rossin is seeking a Supervisor, Content Optimization & AI Search to lead how firm content performs in search and AI retrieval. You will diagnose gaps across web, social, paid, and email channels, then propose concrete, on-brand improvements to boost visibility and usefulness.

This role emphasizes enablement and tooling over writing content, with collaboration across channel SMEs, a focus on structured data, and a data-driven approach to optimization.

Qualifications

• 3–5 years in SEO, content optimization, or digital marketing.
• Hands-on GEO/AEO work experience.
• Familiarity with how large language models retrieve, rank, and cite web content.
• Experience configuring AI content creation tools - brand voice profiles, style guides, prompts libraries.

Responsibilities

• Analyze how firm content performs across digital channels and identify gaps.
• Conduct keyword and prompt research aligned with marketing plans.
• Recommend content structure for machine retrieval including schema, metadata, linking.
• Review content before publication and provide optimization recommendations.
• Run tests and document what works at scale.
• Train marketing colleagues on optimization standards and playbooks.

Skills

SEO

Content optimization

Digital marketing

Analytics

Education

Bachelor's degree in marketing, digital media, communications, computer science, data analytics, or a related field

Tools

Claude

ChatGPT

Semrush

Google Analytics

Google Search Console

Marketo

Salesforce

Oktopost

Asana

Job description

Kaufman Rossin is seeking a Supervisor, Content Optimization & AI Search to lead how firm content performs in search and AI retrieval. You will diagnose gaps across web, social, paid, and email channels, then propose concrete, on-brand improvements to boost visibility and usefulness.

This role emphasizes enablement and tooling over writing content, with collaboration across channel SMEs, a focus on structured data, and a data-driven approach to optimization.