Product Manager, Node Economics

About Chainlink Chainlink is the industry-standard oracle platform bringing the capital markets onchain and powering the majority of decentralized finance (DeFi). The Chainlink stack provides the essential data, interoperability, compliance, and privacy standards needed to power advanced blockchain use cases for institutional tokenized assets, lending, payments, stablecoins, and more. Since inventing decentralized oracle networks, Chainlink has enabled tens of trillions in transaction value and now secures the vast majority of DeFi. About The Role This role owns the incentive systems, compensation frameworks, and performance infrastructure that shape how Node Operators behave and how the network performs economically. You'll translate economic models into production-ready systems, tools, and communications that drive operator quality and align incentives with long-term network health. Success means Node Operators understand their performance, trust their compensation, and are incentivized in ways that reduce network cost and improve reliability. You'll work closely with economics, data science, and engineering teams, and have strong support from senior leadership as you grow into the role. Your Impact Build the compensation and incentive systems that directly influence how Node Operators perform across a network securing the majority of DeFi and powering every Chainlink product Ship performance-based mechanisms that create measurable accountability and drive improvements in operator quality at scale Design and automate payment workflows that Node Operators can trust completely, eliminating manual steps and ensuring accuracy Deliver performance insights and tooling that give operators clear, actionable visibility into how they are performing and what they are earning Own the economic communications that help Node Operators understand complex changes and participate in new programs without disruption Shape how operators are allocated and evaluated across all Chainlink products, building the systems that make those processes consistent and fair Requirements Experience owning performance, rewards, or compensation systems end-to-end and delivering measurable improvements in outcomes Comfortable working closely with data scientists, economists, or quantitative teams to translate models into product or operational decisions Able to communicate complex economic or quantitative concepts clearly to external stakeholders through written materials and direct engagement Experience designing or improving payment and compensation workflows, including reducing manual processes and improving accuracy Track record of driving cross-functional work across engineering, data, and operations teams without direct authority Comfortable navigating ambiguity and building structured processes in environments where frameworks are still being established Preferred Requirements Demonstrated understanding of incentive design and token economics, with experience applying these concepts to real-world systems Experience with crypto economics, staking mechanisms, or token-based incentive systems in production environments Background working with external partners, operators, or ecosystem participants in a product or program capacity Exposure to data science or quantitative research environments, with involvement in shipping data-informed products or systems Understanding of oracle networks, validator economics, or decentralized infrastructure systems Direct experience with staking protocols or node operator programs Academic or professional background in mechanism design, game theory, or quantitative finance Experience working at a protocol, L1/L2, or infrastructure company where token economics were central to the product 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. #J-18808-Ljbffr