Remote Compensation Lead — Global Pay Strategy & Analytics

Chainlink Labs

Boston

Hybrid

PHP 7,538,000 - 11,307,000

Full time

14 days+
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Job summary

Chainlink Labs is seeking an experienced Compensation Lead to own the operating engine of broad-based compensation. You will lead compensation programs across offers, promotions, compensation cycles, market pricing, and salary structures, ensuring decisions are data-backed and easy to understand.

This hands-on role partners with People Partners, Talent Acquisition, People Ops & Tech, and Finance to evolve compensation from execution-focused to recommendation-led, using AI and modern tooling to

Qualifications

  • 7+ years of broad-based compensation experience in a global org.
  • Proven experience owning compensation programs across offers, promotions, cycles, pricing, and salary structures.
  • Strong benchmarking and market-pricing expertise with major surveys and datasets.
  • Advanced Google Sheets or Excel modelling and analytical skills with structured data.
  • Ability to turn complex compensation questions into clear options and recommendations.
  • Experience advising senior leaders on compensation decisions.

Responsibilities

  • Own the execution and evolution of broad-based compensation programs across offers, promotions, cycles, pricing, and salary structures.
  • Lead global initiatives across pay equity, job architecture, workforce planning, and program design.
  • Build compensation models, dashboards, and analyses informing decisions.
  • Lead benchmarking, survey participation, job matching, market pricing, and pay competitiveness analyses.

Skills

Compensation strategy
Data analysis
Stakeholder management
Excel / Google Sheets
AI in analysis

Tools

Pave
Workday
SQL/BigQuery

Job description

Chainlink Labs is seeking an experienced Compensation Lead to own the operating engine of broad-based compensation. You will lead compensation programs across offers, promotions, compensation cycles, market pricing, and salary structures, ensuring decisions are data-backed and easy to understand.

This hands-on role partners with People Partners, Talent Acquisition, People Ops & Tech, and Finance to evolve compensation from execution-focused to recommendation-led, using AI and modern tooling to

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