Product Engineer, Data Product Lead

Emploi pas sur LinkedIn

🕒 il y a 2 mois

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

🗣️🇺🇸🇬🇧 Anglais requis

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decircle

1 - 10 employés

Fondée en 2019

📣 Marketing

📦 Logistique

💼 Conseil

Marketing • Logistics • Consulting

Nous nous associons à des organisations innovantes pour aider à identifier et attirer les talents. Une agence de recrutement spécialisée qui se concentre sur la blockchain et le web3. Nous apprécions de réseauter avec les passionnés du Web3 et de la décentralisation et les aidons à trouver leur place dans le monde décentralisé.

Description

• Own and execute data-driven product development from problem definition to delivery • Design, build, and maintain Risk Dashboards for protocol and ecosystem monitoring • Develop Ecosystem Health Analytics, including KPIs, alerts, and trend analysis • Work hands-on with on-chain data (indexing, querying, transformation, and analysis) • Collaborate in a lean execution model, prioritizing speed, clarity, and impact • Manage product execution and workflow using Linear.app • Partner with governance, risk, and engineering stakeholders to align metrics with decision-making

🎯 Exigences

• Mid-level professional experience (typically 3–6 years) • Strong hands-on engineering background with on-chain / blockchain data • Experience building dashboards, analytics platforms, or data products • Proven ability to operate in a lean, execution-focused environment • Experience working with Linear.app for product and project management • Solid understanding of DeFi, governance mechanisms, or protocol risk concepts • Ability to independently scope, prioritize, and deliver work • Experience with DeFi risk frameworks or protocol monitoring (Nice to Have) • Familiarity with subgraphs, data warehouses, or blockchain indexing tools (Nice to Have) • Previous work in governance, DAOs, or crypto-native organizations (Nice to Have)

🏖️ Avantages

• High autonomy and ownership in a lean operating model • Opportunity to shape how on-chain data informs real protocol decisions

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