Senior Product Designer - CoinGlass
About the Role As a Senior Product Designer at Coinglass, you will own the end-to-end product experience and interface design for core Coinglass products, while also contributing graphic and visual…
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7,000+ live jobsRemote in Singapore·Full-time·Added over a year ago (last checked 7 Oct)
6 open roles
Design and ship the official skills spanning our 14-domain taxonomy (Leverage, Assets, Portfolio, Pulse, Plays, Risk, etc.) - covering market analysis, on-chain liquidity, identity resolution, derivatives, and DeFi primitives.
Define publishing standards, SDK ergonomics, and the skill-signing / revenue-share contract that third-party developers will build against.
Own the MCP server and CLI that make skill authoring feel as easy as writing a Vercel function.
Partner with teams to land CMC for Agent skills inside live agent products.
Implement A2A / cross-agent protocol adapters so a skill published once is discoverable and callable everywhere agents live.
Feed integration learnings back into the SDK - every painful integration becomes a docs page or a helper API.
Co-design and run CMC for Agent hackathons - tracks, bounties, reference repos, judging rubrics, and the technical support Discord during event weekends. Deep collaboration expected with BNB Hack Local Series, YZi Labs EASY Residency, and Virtuals/ACP ecosystem events.
Write the technical content that makes developers choose us: launch posts, cookbook recipes, video walkthroughs, and "build-with-us" threads.
Be the technical face at Web3 × AI events;
Improve LLM grounding on crypto-specific context (tokens, contracts, narratives) to cut hallucination and latency on trading-adjacent queries.
Build evaluation harnesses that measure skill accuracy, reliability, and economic honesty - not just latency and uptime.
Crypto-native fluency: you can explain DEX AMMs, perp funding, bridge risk, and on-chain identity without reaching for Google. Comfortable reading Solidity even if you don't write it daily.
AI agent systems, hands-on: function calling, tool use, MCP, and at least one of LangGraph / OpenClaw in production - not just tutorials.
Developer-product instincts: you've built or heavily contributed to an SDK, CLI, or API that outside developers actually adopted - and you have opinions about why most developer docs are bad.
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