Kamsa is a total compensation software built to manage employee compensation. It includes: global market compensation data, and helps you with job leveling, building compensation ranges (cash and equity), as well as run your compensation reviews.
Kamsa, pronounced kahm-sah, means appreciation in Korean. Kamsa is all about appreciating your most valuable asset - your people, by paying them fairly.
Kamsa's proprietary market compensation data consists of actual employee data from our clients (anonymized, of course).
Kamsa has helped over 500 global companies with their compensation needs.
Kamsa’s market data is updated quarterly and consists of:
Companies are typically the tech industry and:
Market data is refreshed every quarter to keep it real-time.
Companies who need reliable global market compensation data, perform compensation reviews, and are venture backed and/or in the tech industry benefit from Kamsa. Companies who value paying employees fairly and want to ensure they attract and retain top talent, globally, also benefit greatly from Kamsa’s features.
It costs companies 2X an employee’s salary to replace them if they leave. The most common reasons employees will leave your company is lack of growth opportunities and/or competitive pay. Kamsa helps ensure companies are paying competitively against the market, as well as transparent with career paths and job levels across your organization
With our Compensation Review tool, Kamsa allows you to customize performance rating scales and categories. The performance ratings can be included as a data point during compensation review so managers can use it as a data point to make the best pay decisions for their employees.
Kamsa was founded by our CEO, Lola Han. Before starting Kamsa in 2017, she was in roles like Head of Compensation at companies like Zendesk, as well as a compensation consultant at Willis Towers Watson and Ernst & Young. Over time, she realized the routine compensation initiatives that all companies do, like job level across the organization, use reliable market data to establish compensation ranges, and run a compensation review, was so painful. There was no good solution in the market that not only provided reliable market data, but also helped get sh*it done efficiently, so we built it ourselves.
Yes, we integrate with various HRISs!
After an agreement is signed, you’ll fill out a census data file. Your Implementation Consultant typically takes ~3 business days to organize your employees' data and provide access to Kamsa. A Kick-Off meeting will be scheduled & you’ll confirm job levels and job matches over the next couple of weeks.
Kamsa leverages machine learning technology to match your employees’ jobs against market, quickly. We job level your employees to ensure the market data is accurate. Kamsa also provides market data across 60+ countries, and it’s refreshed on a quarterly basis, to keep the data as real-time as possible.
Kamsa also offers:
Our compensation experts partner with you to not only strategize compensation priorities, but help get the sh*t done. We’re here to support your compensation reviews, market price jobs, benchmark executive compensation, or re-think your compensation philosophy or equity grant program. We have custom projects and packages to meet all your unique needs.
We’ll help conduct job leveling and establish career paths across your entire org so you are not left having to spend many months doing this. On average, this process takes only 2 to 3 weeks to complete.
Kamsa’s Compensation Review tool helps budget quickly and remove the heavy burden of running your compensation reviews. It rolls it up to all the desired approval chain (the hell with spreadsheets!) and recommends the salary increase guidelines by work location/country based on latest market data.
Kamsa is a hybrid solution (tech product + consulting) to help make compensation painless for companies!
Any information provided to us will be held encrypted and with strict confidence. We are GDPR compliant, our privacy statement can be found here. For more information, see the question entitled “What has been done to prevent data breaches?”
We take security very seriously. Below are examples of how we proactively prevent data breaches: