Job Overview
The Compensation Manager, Global Rewards will lead the development, implementation, and continuous improvement of Coursera’s global compensation strategies. This role is responsible for analyzing market trends, benchmarking internal data, and providing actionable insights to drive effective decision-making. You will partner with HR Business Partners and senior leaders to ensure our pay practices align with our mission and support our commitment to fairness, innovation, and social impact.
Responsibilities
Compensation Strategy & Analysis
- Conduct detailed market and internal analyses to benchmark salaries, bonuses, and incentive plans against industry standards.
- Develop and refine compensation models that support Coursera’s global rewards philosophy.
- Proficiency in executive compensation
Program Design & Administration
- Lead the administration of annual merit, bonus, and equity cycles, ensuring timely and accurate execution across regions.
- Collaborate with HR and Finance teams to maintain and enhance job architecture, salary structures, and incentive programs.
- Facilitate regular compensation training to new managers and the People team.
Data Reporting & Compliance
- Create and deliver insightful reports, dashboards, and presentations that highlight compensation trends, effectiveness, and ROI.
- Ensure compliance with relevant legal and regulatory standards in all compensation practices.
Stakeholder Partnership
- Serve as a trusted advisor to HR Business Partners and leadership on compensation strategy, policy, and best practices.
- Drive process improvements and innovations that enhance the overall employee experience and support Coursera’s strategic objectives.
Basic Qualifications
- Bachelor’s degree in Human Resources, Finance, Business, or a related field;
- Minimum 5 years of progressive experience in compensation analysis, preferably in a global or technology-driven environment.
- Proven expertise in advanced data modeling techniques, including statistical analysis with advanced proficiency in Excel
- Strong track record of leveraging AI to drive insights and decision-making.
- Demonstrated track record of implementing operational efficiencies and process improvements that drive measurable cost savings and enhanced decision-making capabilities.
- Strong analytical, problem-solving, and project management skills, with the ability to translate complex data into clear, actionable insights.
- Excellent interpersonal and communication skills, with a track record of building collaborative relationships across diverse teams and effectively influencing stakeholders.
- Experience managing large datasets and developing dynamic dashboards that support strategic compensation decisions, along with the ability to integrate disparate data sources to enhance reporting accuracy.
Preferred Qualifications
- Advanced degree or relevant certification (e.g., CCP) is preferred.
If this opportunity interests you, you might like these courses on Coursera:
Compensation
US Zone 1
This role is not available in Zone 1
Zone 1- San Francisco Metro, New York City Metro or Seattle Metro
US Zone 2
$120,000 - $150,000 USD
Zone 2 - CA (outside of SF Bay Area), CO, CT, DC, GA, IL, MA, MD, NY/NJ (other than NYC), OR, RI, TX, VA, WA (other than Seattle)
US Zone 3 - all other US locations not listed above
$98,400 - $123,000 USD
The range(s) listed above is the expected annual base salary for this role, subject to change.
Salary is just one component of Coursera’s total rewards package. All regular employees are also eligible for a bonus program and equity in the form of RSU’s.
A number of factors are taken into account when determining pay, which includes: job level, location, training/education, business need, skill set and internal equity.
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