Project description:
Produce over 1,000 tailored resume-writing guides. These job-specific pages provided users with clear, actionable insights for crafting effective resumes aligned with industry expectations.

Goal:
To efficiently scale high-quality, SEO-optimized content across a large volume of job titles—delivering relevant, engaging resume guidance while dramatically reducing production time and resource strain.
 

Skills & Process:

• Content strategy & planning – Defined scalable content frameworks and wrote pilot pages to ensure consistency, quality, and adaptability across 1,000+ pages.

• Information architecture (IA) & taxonomy development – Structured content for clarity, discoverability, and user navigation.

• Content auditing & quality control – Developed editorial guidelines, review workflows, and audits to maintain high standards across all content.

• User experience (UX) writing – Created clear, concise copy for in-product flows, ensuring usability and tone alignment.

• Cross-functional collaboration & leadership – Partnered with SEO, product, and design teams, and managed a team of writers, editors, and technologists to execute strategy.

• AI/LLM integration – Incorporated AI-generated drafts refined by editors for clarity, tone, and accuracy, improving velocity while maintaining quality.

• SEO & competitor analysis – Conducted keyword research and competitive reviews to optimize discoverability and performance.​

Results:

• 1,000+ job-specific guides published: Successfully launched a vast library of targeted resume-writing resources.

• 67% increase in efficiency: Reduced project timeline from ~1 year to just 4 months by leveraging LLM technology and templated workflows.

• Improved UX & user engagement: Delivered structured, relevant content that helped users quickly find advice tailored to their job search goals.

• Scalable model: Created a repeatable framework for future large-scale content initiatives.