Director, Product Structuring

Director / Head of Structuring

Employment Type: Full-Time Location Type: Remote Salary:

About Us

Chainlink Labs is the primary contributing developer of Chainlink, the decentralized computing platform powering the verifiable web. Chainlink is the industry-standard platform for providing access to real-world data, offchain computation, and secure cross-chain interoperability across any blockchain. Chainlink Labs helps power verifiable applications for banking, DeFi, global trade, and gaming by collaborating with some of the world’s largest financial institutions, notably Swift, DTCC, and ANZ. Chainlink Labs also works with top Web3 teams, including Aave, Compound, GMX, Maker, and Synthetix. Chainlink Labs was ranked as one of the Global Top 100 Most Loved Workplaces by Newsweek 2025.

The Structuring Team

Structuring sits at the heart of Chainlink’s Data business, ensuring every price our network delivers is accurate, reliable, and cost-efficient. The group oversees:

• Quantitative traders & engineers who design and back-test pricing methodologies
• Risk Operations analysts who monitor and mitigate real-time data risk
• Data-provider business-development managers who source, negotiate, and manage relationships with premier market-data vendors

The Structuring team partners closely with Product Engineering, GTM, and Node Operators to deliver best-in-class data products across hundreds of on-chain markets.

About the Role

We are searching for an experienced Director / Head of Structuring to lead this cross-functional organization. You will own the production, quality, and cost structure of Chainlink’s data products—defining strategy, shipping new methodologies, and scaling operational excellence across traditional and crypto markets. This role blends financial engineering, quantitative research, real-time risk management, and vendor negotiation with people leadership and cross-company influence.

Your Impact

• Define data-product strategy: Set vision, KPIs, and roadmaps for price feeds, streams, and bespoke data services, including how to meet the evolving needs of users regarding security and reliability.
• Champion pricing research: Guide quants in designing, stress-testing, and deploying asset-pricing models for spot, derivatives, and long-tail crypto assets.
• Own real-time data risk: Establish risk tolerances, oversee 24/7 monitoring, and ensure rapid incident response that protects users and reputation for the largest value-securing oracle network in blockchain.
• Optimize cost structure: Negotiate commercial terms, redesign provider configurations, and reduce network-wide data spend while expanding coverage.
• Scale high-performing teams: Recruit, coach, and develop a diverse group of quants, analysts, and BD managers; foster a culture of experimentation, accountability, and continuous improvement.
• Drive cross-functional alignment: Partner with Engineering, Product, Finance, and Legal to launch new data products and embed risk-aware practices company-wide.
• Represent Chainlink externally: Engage with leading exchanges, OTC desks, data vendors, and DeFi protocols to advance industry standards for on-chain data quality.

Requirements

• 10+ years of experience in financial engineering, quantitative research, or market-data product leadership, with at least 4 years managing multi-disciplinary teams.
• Deep knowledge of market-data infrastructure, asset pricing theory, and real-time trading data for both traditional and crypto markets.
• Proven track record shipping production-grade pricing or risk systems used in live trading, clearing, or DeFi.
• Expert-level proficiency in Python (or similar), SQL, and statistical analysis; comfortable diving into code and model reviews when needed.
• Demonstrated success negotiating commercial agreements with Tier-1 data vendors, exchanges, or liquidity providers.
• Strong operational rigor—experience running 24/7 or follow-the-sun data-risk or trading-ops programs.
• Excellent communication and stakeholder-management skills, able to translate quantitative insights into clear business decisions.