Renaissance Learning Salaries in San Francisco
How much do people at Renaissance Learning in San Francisco get paid? See the latest salaries by department and job title. In San Francisco, the average estimated annual salary, including base and bonus, at Renaissance Learning is $141,816, or $68 per hour, while the estimated median salary is $145,592, or $69 per hour.
At Renaissance Learning's San Francisco office, the highest paid job is a Director of Engineering at $239,770 annually and the lowest is a CS Rep at $54,025 annually. Average Renaissance Learning salaries by department include: Admin at $73,594, Legal at $142,670, Engineering at $159,170, and Customer Support at $101,550. Half of Renaissance Learning salaries are above $145,592.
21 employees at Renaissance Learning rank their Compensation in the Top 10% of similar sized companies on Comparably (based on 65 ratings) while 21 employees at Renaissance Learning rank their Perks And Benefits in the Top 15% of similar sized companies on Comparably (based on 21 ratings).
Salaries contributed from Renaissance Learning employees include job titles like Lead Engineer, Product Manager, Business Analyst, and Recruiter. Comparably data has a total of 4 salary records from Renaissance Learning employees.
Last updated months ago.
* Estimated salaries Estimated salaries are based on data provided anonymously by employees and/or estimated by other statistical methods.
Renaissance Learning Salary Averages By Department
Recent Renaissance Learning Salaries Anonymously Contributed
Renaissance Learning Salaries By Department (13)
Product Department (5)
Engineering Department (14)
Marketing Department (12)
Design Department (8)
Operations Department (4)
Admin Department (2)
Business Development Department (3)
Finance Department (5)
Customer Support Department (3)
HR Department (3)
IT Department (5)
Legal Department (3)
Sales Department (5)
† Employer contributed salary* Estimated salaries Estimated salaries are based on data provided anonymously by employees and/or estimated by other statistical methods.
of similar sized companies on Comparably
of similar sized companies on Comparably
