Skilark is a job market analytics tool built to help technology professionals and anyone curious about the evolving tech landscape understand how the job market and skill demands are shifting — particularly in the era of AI. By collecting, enriching, and visualizing public job postings from company career pages, it offers a data-driven window into what employers are looking for right now.

Why It Exists

The tech industry is changing rapidly. New roles emerge, skill requirements shift, and entire job categories are being reshaped by advances in artificial intelligence. Whether you are actively job hunting, planning a career transition, considering which skills to invest in, or simply trying to make sense of the hiring landscape, Skilark aims to provide concrete data to inform those decisions — replacing anecdotes and gut feelings with observable trends from real job postings.

What It Does

Skilark collects public job listings from a selection of technology companies and uses AI to extract structured information — required skills, role categories, seniority levels, and remote work policies. The result is an aggregated dataset that reveals patterns in what companies are hiring for and what skills are in demand.

Methodology

Data is collected responsibly from publicly accessible career pages. Listings are deduplicated so the same job is never counted twice. Each listing is classified by role category (engineering, product, design, data, etc.), seniority level (intern through executive), remote work policy, and mapped to a curated taxonomy of skills. This structured data powers the charts and tables throughout the site.

Data Sources and Limitations

Skilark collects listings from a selection of technology companies via their publicly accessible career pages. A full list of currently tracked companies is available on the Sources page.

Important: This data represents only a subset of hiring at major tech companies. Many companies are not included, and data may experience gaps or delays that affect completeness and accuracy. The AI-powered classification process can also produce misclassifications. The information on this site is provided for general informational purposes only and should not be relied upon as the sole basis for career decisions. Please see our Terms of Service for full details.

Contact

We welcome feedback, bug reports, data correction requests, and feature suggestions. Please reach out via the Contact page.