Compensation Program Manager

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Lead end-to-end execution of Asana's annual merit and focal review cycle, including modeling budget scenarios, partnering with People Partners on calibration, and ensuring accurate system processing in Workday.
• 2
  Own job matching and market pricing across functions using Radford, Pave, and Compa while maintaining salary structures and competitive ranges through regular refresh analysis.
• 3
  Partner with People Partners and Talent Acquisition to evaluate new and evolving roles, establish leveling consistency, and maintain a clean job catalog in Workday.
• 4
  Conduct pay equity analyses across the employee population, identify outliers, recommend corrective actions, and track progress against equity goals to support leadership reporting.
• 5
  Serve as a day-to-day compensation advisor to People Partners and Recruiters, providing offer guidance, promotion assessments, and retention recommendations grounded in market data and internal equity.
• 6
  Support planning and administration of broad-based equity grants (new hire, refresh, promotion cycles), partnering with Stock Admin on processing and Finance on budget tracking.
• 7
  Develop compensation communication materials and manager toolkits to help employees and leaders understand Asana's programs and pay philosophy.

RequirementsAI-extracted

• 6-8 years of progressive global compensation experience, with a strong foundation in broad-based compensation programs.
• Proven ability to own and run complex compensation cycles (merit, market refresh, pay equity) with minimal oversight.
• Strong analytical and quantitative skills, with advanced proficiency in spreadsheet tools (e.g., Excel, Google Sheets) and experience building compensation models.
• Experience with Workday Advanced Compensation, Pave, or survey benchmarking tools like Radford, Pave, and Compa.
• Consultative mindset with the ability to translate complex data into actionable recommendations for business leaders and key stakeholders.
• Strong organizational skills and the ability to balance competing priorities in a fast-paced environment.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

Perks & BenefitsAI-extracted