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.
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
Clear, reliable dashboards that inform governance and risk decisions
Actionable ecosystem health metrics used by operators and stakeholders
Fast iteration cycles with measurable improvements in insight quality
High ownership, minimal process overhead, and consistent execution
Direct impact on governance and stability within the Sky.Money ecosystem
High autonomy and ownership in a lean operating model
Opportunity to shape how on-chain data informs real protocol decisions
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
Familiarity with subgraphs, data warehouses, or blockchain indexing tools
Previous work in governance, DAOs, or crypto-native organizations
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