Amatsu is seeking a hands-on Product Engineer / Data Product Lead to design, build, and operate data-driven products that support governance, risk management, and ecosystem health within the Sky.Money ecosystem. This role blends product leadership with strong engineering execution and is ideal for a mid-level professional who thrives in lean, high-ownership environments.
You will be directly responsible for translating governance and risk needs into practical, data-backed products, working closely with on-chain data and shipping continuously.
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Own and execute data-driven product development from problem definition to delivery
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Design, build, and maintain Risk Dashboards for protocol and ecosystem monitoring
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Develop Ecosystem Health Analytics, including KPIs, alerts, and trend analysis
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Work hands-on with on-chain data (indexing, querying, transformation, and analysis)
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Collaborate in a lean execution model, prioritizing speed, clarity, and impact
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Manage product execution and workflow using Linear.app
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Partner with governance, risk, and engineering stakeholders to align metrics with decision-making
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Clear, reliable dashboards that inform governance and risk decisions
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Actionable ecosystem health metrics used by operators and stakeholders
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Fast iteration cycles with measurable improvements in insight quality
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High ownership, minimal process overhead, and consistent execution
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Direct impact on governance and stability within the Sky.Money ecosystem
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High autonomy and ownership in a lean operating model
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Opportunity to shape how on-chain data informs real protocol decisions
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Mid-level professional experience (typically 3–6 years)
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Strong hands-on engineering background with on-chain / blockchain data
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Experience building dashboards, analytics platforms, or data products
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Proven ability to operate in a lean, execution-focused environment
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Experience working with Linear.app for product and project management
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Solid understanding of DeFi, governance mechanisms, or protocol risk concepts
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Ability to independently scope, prioritize, and deliver work
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Experience with DeFi risk frameworks or protocol monitoring
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Familiarity with subgraphs, data warehouses, or blockchain indexing tools
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Previous work in governance, DAOs, or crypto-native organizations
