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 if you immediately think "What’s the underlying search logic of this new AI model, and how can we leverage it?"—then you’re the person we’re looking for.
Key Responsibilities: Growth Through an AI Lens
- AI-Driven Content Growth Experiments (Build with AI)
- Real-time trend utilization: Use LLM + RAG to capture market trends (newsjacking). Design an automated SOP from trend identification → 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. 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 determine: Which content drives trading conversions? Which KOL’s audience aligns best with our traders?
- Growth experiment engine: Run weekly experiments—e.g., "AI-generated trading strategy Threads vs. manually written ones" or "AI-curated KOL lists vs. manually selected ones." Let data guide rapid iterations.
- AI Ecosystem Expansion: Make AI Agents Trade Here (Priority: Build for AI)
- Package "trading as a service": No need to be a backend expert, but understand OpenAI Tool Calling, LangChain, and LlamaIndex. Encapsulate our Perp DEX’s contract trading and query functions into tools/plugins loved by AI Agents.
- Developer relations geek: Write sample Agent code that developers instantly grasp (e.g., an Agent that queries funding rates and alerts arbitrage opportunities; another that auto-adjusts stop-loss based on market volatility). Publish tutorials/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). Persuade them to integrate our trading features by default, so their users execute their first trade on our platform.
- Trading Community & KOL Collaboration (Trade with AI)
- AI-assisted KOL partnerships: Use AI tools to filter KOLs and assess their real follower value (eliminating bots, analyzing engagement authenticity). Generate personalized collaboration proposals tailored to each KOL’s style.
- Co-create AI trading content: Partner with KOLs on topics like "Can AI replace traders?" or "How to analyze market sentiment with LLMs?" to maintain our brand’s cutting-edge tech appeal.
Job Requirements: You Are the "AI Native" Candidate
- 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 test new AI tools immediately. You have hands-on experience with LangChain, RAG, or Tool Calling (even in personal projects).
- Growth hacker mindset: Strong hypothesis-experiment-review thinking. You trust data, not authority. You embrace 80% failed experiments if the remaining 20% drive exponential growth. Know UTM, attribution, and A/B testing basics.
- Smart & self-driven: Ivy League/top-school background is a plus but not required. We need fast learners. Given a week, you can master a new AI framework/trading protocol and draft an actionable experiment plan.
- Language & communication: Fluent English—not just for emails but also for X Threads, Spaces discussions on AI-powered trading, and even English speeches at developer conferences.
- Trading knowledge (bonus, learnable): No need to be a pro trader, but grasp spot/perp trading, funding rates, slippage, and Perp DEX basics. Passion to dive deeper is essential—only by understanding trading can you identify where AI fits.
Bonus Points (Perfect If You Have These)
- Built an AI Agent Demo that completes a closed-loop task (e.g., monitor market → 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 developer 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.
