Job Description
We are not looking for a marketing specialist who can use ChatGPT to write copy. We are seeking an "AI Native" growth hacker with an extreme curiosity about AI technology, capable of reconstructing trading scenarios using code and prompts.
You will stand at the intersection of AI and Crypto, responsible for two key areas:
- Internal: Use AI technology to transform our growth funnel, increasing the efficiency of content production, distribution, and optimization by 10x.
- External: Make our trading platform the preferred "trading plugin" for AI Agents, driving AI product integrations to create an automated growth flywheel.
If your first reaction to a viral tweet is "How can I replicate this Hook with a prompt?" or when you see a new AI model, you immediately think "What’s the underlying search logic, and how can we leverage it?"—then you are the person we are looking for.
Key Responsibilities: Think Like AI, Act Like a Growth Hacker
- AI-Driven Content Growth Experiments (Build with AI)
- Real-time trend utilization: Use LLM + RAG to capture market trends (newsjacking). Instead of manually writing, design an automated SOP for trend → content generation → multi-version A/B testing. You tweak the prompts; AI outputs 100 tweets in different styles.
- Content factory standardization: Establish an "AI Content Factory" workflow. Input a trading event brief, and AI automatically generates: 5 tweet hooks from different angles, a data script for an infographic, a frame-by-frame script for a short video, and even Q&A scripts for Spaces hosts.
- Automated distribution & iteration: Use AI tools compliantly for multi-account/multi-timezone scheduling and distribution. You’re not manually posting—you’re training a "growth model" to optimize prompts and content strategies based on data feedback.
- Data-Driven AI Growth Flywheel (Measure with AI)
- AI attribution analysis: Build dashboards but go beyond numbers. Use AI for sentiment analysis, topic clustering, and semantic similarity searches to quickly determine: Which content drives trading conversions? Which KOL’s audience overlaps most with our traders?
- Growth experiment engine: Conduct weekly experiments. Test "AI-generated trading strategy Threads vs. manually written ones" one week, then "AI-curated KOL lists vs. manually selected" the next. Let data guide rapid iteration.
- AI Ecosystem Expansion: Make AI Agents Trade Here (Build for AI)
- Package "trading as a service": You don’t need to be a backend expert, but you must understand OpenAI Tool Calling, LangChain, and LlamaIndex. You’ll package our Perp DEX’s contract trading and query functions into "tools" or "plugins" that AI Agents love.
- Developer relations geek: Write example Agent code that developers instantly understand (e.g., an Agent that queries funding rates and alerts arbitrage opportunities; an Agent that auto-adjusts stop-loss based on market volatility). Publish tutorials and demos, and engage GitHub/Discord communities to attract integrations.
- Drive AI product integrations: Proactively BD AI products, automation protocols, and plugin markets (e.g., Coinbase’s Based Agent ecosystem). Convince them to integrate our trading features by default, so their users complete their first trade on our platform.
- Trading Community & KOL Collaboration (Trade with AI)
- AI-assisted KOL partnerships: Use AI tools to screen and evaluate KOLs’ genuine follower value (filter bots, analyze engagement authenticity). Generate personalized collaboration proposals tailored to each KOL’s style.
- Co-create AI trading content: Collaborate with KOLs on AI-related topics like "Can AI replace traders?" or "How to use LLMs for market sentiment analysis?" to maintain cutting-edge tech branding.
Job Requirements: You Are the "AI Native" We Seek
- AI native: You don’t just "use" AI—you coexist with it. You subscribe to ChatGPT Plus/Claude Pro, study the latest prompt techniques daily, and immediately test new AI tools. You have hands-on experience with LangChain, RAG, and Tool Calling (even if just personal projects).
- Growth hacker mindset: Strong hypothesis-experiment-analysis thinking. You trust data, not authority. You accept 80% failure if the remaining 20% drives exponential growth. Understand UTM, attribution, and A/B testing.
- Smart & self-driven: Ivy League or top-tier education is a plus but not required. We need fast learners. Given a week, you can master a new AI framework/trading protocol and deliver an actionable experiment plan.
- Language & communication: Fluent English—not just for emails but to craft X Threads, explain AI-powered trading in Spaces, or deliver English speeches at developer conferences.
- Trading knowledge (bonus, learnable): You needn’t be a pro trader but must grasp spot/perp trading, funding rates, slippage, and Perp DEX basics—and be eager to dive deeper. Only by understanding trading can you identify AI’s entry points.
Bonus Points (Perfect If You Have These)
- Built an AI Agent Demo that calls an API to complete a closed-loop task (e.g., monitor markets → analyze → tweet → auto-trade).
- Grew a Twitter/X account from 0 to 1 using AI-assisted content.
- Familiar with Perp DEX/on-chain protocols, can read simple smart contracts, or run a node to query data.
- Hackathon winner or active in AI/crypto dev communities.
- Know OpenAI DevDay, NVIDIA GTC, and ETHGlobal ecosystems inside out.
Benefits
Top-tier brand endorsement, remote work options, priority access to resources, year-end bonuses, and promotion opportunities.
