Many of the world’s largest financial services institutions have also adopted Chainlink’s standards and infrastructure, including Swift, Euroclear, Mastercard, Fidelity International, UBS, S&P Dow Jones Indices, FTSE Russell, WisdomTree, ANZ, and top protocols such as Aave, Lido, GMX and many others. Chainlink leverages a novel fee model where offchain and onchain revenue from enterprise adoption is converted to LINK tokens and stored in a strategic [Chainlink Reserve]( Learn more at [chain.link](

We are seeking an experienced Compensation Lead to own the operating engine of broad-based compensation at Chainlink Labs. Reporting to the Head of Total Rewards, you will lead compensation programs across offers, promotions, compensation cycles, market pricing, and salary structures, ensuring our decisions are data-backed, defensible, and easy for managers and team members to understand.

This is a hands-on builder role for someone who can move seamlessly between strategy, analytics, and execution. You will partner closely with People Partners, Talent Acquisition, People Ops & Tech, LTI Operations, Finance, and Legal to evolve our compensation function from execution-focused to increasingly recommendation-led.

Your impact

• Own the execution and evolution of broad-based compensation programs, including offers, promotions, compensation cycles, market pricing, and salary structures.
• Lead global initiatives across pay equity, job architecture, workforce planning, and compensation program design.
• Build compensation models, dashboards, and analyses that inform business and People decisions.
• Lead benchmarking, survey participation, job matching, market pricing, and pay competitiveness analysis.
• Review complex offers and compensation escalations across levels, functions, and global markets, providing clear recommendations
• Partner with People Tech on our migration to Pave and the continued development of our compensation data infrastructure.
• Design clear, accessible compensation views and resources for managers, team members, and People Partners.
• Advise People Partners and business leaders on compensation strategy, programs, and individual decisions.
• Translate complex compensation data and trade-offs into concise, executive-ready recommendations.
• Use AI and modern tooling to improve the speed, quality, and scalability of compensation analysis, reporting, and communication.

Requirements

• 7+ years of broad-based compensation experience within a fast-paced, global organization; 10+ years for consideration at the senior level.
• Proven experience owning compensation programs across offers, promotions, compensation cycles, market pricing, and salary structures.
• Strong compensation benchmarking and market-pricing expertise, including experience with major compensation surveys and datasets.
• Advanced Google Sheets or Excel modelling and analytical skills; experience working with structured data is highly valued.
• Strong judgment and the ability to turn complex compensation questions into clear options and recommendations.
• Experience advising People Partners and senior business leaders on compensation decisions.
• Excellent communication and stakeholder management skills across technical and non-technical audiences.
• Ability to operate effectively in ambiguity and build scalable processes in a rapidly evolving environment.
• Comfortable partnering cross-functionally with teams such as People Operations, Talent Acquisition, Finance, Legal, and HRIS/People Tech.
• A builder mindset with an interest in using data, automation, and AI to improve how compensation work gets done.

Preferred requirements

• Experience with Pave, Workday, SQL/BigQuery, and/or benchmarking platforms such as Radford or Mercer.
• Experience in high-growth technology, fintech, crypto, or AI environments, with exposure to equity/LTI programs, pay transparency, or job architecture.

Chainlink Labs is an equal opportunity employer. All qualified applicants will receive equal consideration for employment in compliance with applicable laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us via this [form](

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