Jobs Companies Weekday AI Compensation and Benefit

Sobre este puesto de Compensation and Benefit en Weekday AI

Weekday AI · Presencial · Gurugram, Haryana, India

This role is for one of Weekday’s clients


Min Experience: 8+ years
Location: Gurugram, Haryana, India
JobType: full-time

We are seeking an experienced Compensation & Benefits professional with 8–11 years of experience to lead and enhance the organization’s compensation, rewards, and benefits programs. The ideal candidate will have strong expertise in designing competitive compensation structures, developing rewards strategies, analyzing workforce data, and ensuring internal equity and external competitiveness.

This role will partner closely with HR leadership, business leaders, finance, and people teams to build data-driven compensation practices that attract, retain, and motivate high-performing talent.

Requirements

Key Responsibilities

  • Lead the design, implementation, and administration of Compensation & Benefits programs aligned with business objectives and talent strategies.
  • Develop and maintain salary structures, pay ranges, job levels, compensation frameworks, and incentive plans.
  • Conduct regular benchmarking and market analysis to ensure compensation remains competitive across relevant industries and talent markets.
  • Drive annual compensation review, merit increase, bonus, incentive, and promotion processes.
  • Develop and implement comprehensive Rewards strategies covering monetary and non-monetary rewards, recognition, incentives, and employee benefits.
  • Partner with HR and business leaders to ensure compensation decisions are consistent, equitable, and aligned with organizational performance.
  • Conduct pay equity and internal parity analyses and recommend corrective actions where required.
  • Use HR Analytics and workforce data to identify trends, measure compensation effectiveness, and support strategic decision-making.
  • Build dashboards and reports covering compensation costs, salary positioning, attrition, rewards effectiveness, workforce trends, and benefits utilization.
  • Analyze compensation data to support workforce planning, budgeting, talent retention, and organizational design initiatives.
  • Manage employee benefits programs including insurance, wellness benefits, leave benefits, retirement programs, and other employee offerings.
  • Evaluate benefits programs based on employee needs, utilization, cost-effectiveness, and market competitiveness.
  • Collaborate with Finance and HR teams on compensation budgeting, forecasting, and cost optimization.
  • Ensure compensation and benefits practices comply with applicable employment laws, regulations, and organizational policies.
  • Support leadership with data-driven recommendations for senior-level compensation decisions.
  • Manage compensation-related projects, HR technology implementations, and process improvements.

Must-Have Skills

  • Compensation & Benefits
  • Rewards & Total Rewards
  • HR Analytics
  • Compensation benchmarking and market intelligence
  • Salary structures, job evaluation, and pay grading
  • Incentive and variable pay programs
  • Pay equity and internal compensation analysis
  • HR data analysis and reporting
  • Compensation budgeting and forecasting
  • Strong knowledge of HR policies and employment regulations
  • Advanced Excel and experience with HRIS/people analytics platforms
  • Strong stakeholder management and communication skills

Experience & Qualifications

  • 8–11 years of relevant experience in Compensation & Benefits, Total Rewards, Rewards, or HR Analytics.
  • Bachelor’s degree in Human Resources, Business Administration, Finance, Economics, or a related discipline.
  • Experience working with compensation frameworks in a mid-to-large organization is preferred.
  • Strong analytical ability with excellent attention to detail and commercial understanding.
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Sobre Weekday AI

At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.

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