Compa Launches Skills to Advance How Compensation Teams Benchmark Pay

Using its flagship offer-based data network, Compa creates skills compensation intelligence and custom job matching for top technology companies.

Compa

Compa, the leading provider of software-delivered market data, debuts its latest product, Compa Skills, a groundbreaking solution that provides enterprise organizations with skills-based compensation intelligence and job matching precision.

While the skills tech market boomed in recent years, most solutions focus on talent marketplaces, workforce planning, and recruiting, leaving a critical gap: Connecting skills to compensation.

Traditional compensation surveys tried adding skills libraries to their job structures but haven’t impacted the industry. Compa Skills takes a new approach, sourcing skills from hundreds of thousands of offers to provide a market-driven, real-time view of emerging trends.

“Differentiating yourself with compensation practices is difficult. Compa Skills equips my team with new data and new ways of thinking about the market and our talent,” said Steve King, Head of Compensation at Stripe. “Understanding how the market values individual skills is a major unlock. With this information, compensation teams will play a new role in HR as strategic designers of the future of a company’s workforce.”

Compa Skills reveals powerful compensation intelligence and offers customizable job matching for hard-to-match roles like “Computer Vision Engineer specializing in Pytorch” and “Sr. Machine Learning Data Operations”. Enterprise compensation teams can filter benchmarks and trend data to pinpoint skill-based pay differences across jobs, levels, and locations.

“Skills has been 5 years away for 20 years and Compa has changed that,” said Charlie Franklin, Co-founder and CEO of Compa. “Compensation teams have struggled for years to apply skills in meaningful ways to their job architectures and benchmarking strategies. Compa solves this by leveraging offer data, unlocking new capabilities to win in competitive talent markets like AI.”

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