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Compensation Lead
Chainlink Labs
Source: Himalayas · original listing ↗
Source date: 11/10/2026
About this role
About Chainlink Labs Chainlink Labs is one of the primary contributing developers of Chainlink, the standard for onchain finance enabling high-quality data, secure cross-chain interoperability, and compliant connectivity across global markets. Chainlink powers leading tokenized assets, financial institutions, market infrastructures, and decentralized applications by providing secure access to real-world data, cross-chain messaging, and blockchain connectivity across any network. The Chainlink standard has enabled tens of trillions of dollars in transaction value and is helping unify global markets onchain. 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, Aave, Polymarket, Lido, and many others. Chainlink Labs is a world-class team of developers, researchers, and capital markets experts, and has ranked among Fortune's Best Workplaces in Technology, Fortune's Best Medium Workplace, and the Top 100 Global Most Loved Workplaces. Learn more at or. 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 a remote-first organization and employment eligibility is contingent upon residing in an approved hiring jurisdiction. Team members may work outside their primary country of legal residence for a maximum of 90 days per calendar year. Please discuss your current location, legal residence, and work authorization with your recruiter during your initial conversation. Unless otherwise stated for a specific role, we require working hours that overlap with Eastern Time (ET). We carefully review all applications and aim to provide a response to every candidate within two weeks after the job posting closes. The closing date is listed on the job advert, so we encourage you to take the time to thoughtfully prepare your application. We want to fully consider your experience and skills, and you will hear from us regarding the status of your application shortly after the closing date. Commitment to Equal Opportunity 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. Global Data Privacy Notice for Job Candidates and Applicants Information collected and processed as part of your Chainlink Labs Careers profile, and any job applications you choose to submit, is subject to our Recruiting Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. Compensation Range: $119K - $253K Originally posted on Himalayas