Compensation Lead - Equity, Cycles & Analytics

Plaid Inc; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Equity program exposure

Medical benefits

Dental benefits

Vision benefits

401(k)

Job summary

Plaid is seeking an experienced Compensation professional to own compensation cycles and support across client groups in a fast-paced environment. You will work with the Head of Total Rewards, gaining exposure to equity program mechanics, exec compensation, and board deliverables.

You will manage annual and mid-year cycles, benchmark market data, and maintain pay bands while building models to guide leadership decisions.

Qualifications

• 5–8+ years in compensation or total rewards.
• Experience owning or co-owning a compensation cycle (YE or mid-year).
• Benchmarking: job matching, survey submissions, competitive analysis.
• Strong analytical skills and modeling.
• RSU/equity experience and ability to explain equity compensation.
• Nice to have: private/pre-IPO experience and Plaid tech familiarity.

Responsibilities

• Own comp support for specific client groups with speed and accuracy.
• Lead annual and mid‑year compensation cycles in Workday and comp tooling.
• Manage comp systems: Compa, Pave, and external survey tools.
• Run benchmarking analyses: market data pulls and pay positioning.
• Maintain compensation bands and ranges, ensuring accuracy.
• Build and maintain complex models to support program design and leadership.
• Collaborate with team on high-priority workstreams during peak season.

Skills

Compensation strategy

Workday

Pave

Benchmarking

RSU/Equity

Analytical skills

Tools

Workday

Compa

Pave

Job description

Plaid is seeking an experienced Compensation professional to own compensation cycles and support across client groups in a fast-paced environment. You will work with the Head of Total Rewards, gaining exposure to equity program mechanics, exec compensation, and board deliverables.

You will manage annual and mid-year cycles, benchmark market data, and maintain pay bands while building models to guide leadership decisions.