About the role:

Serotonin is the leading breakthrough marketing and communications partner for digital asset companies, working with the top businesses and entrepreneurs in the industry on brand positioning, media relations, content, growth marketing, and go-to-market strategy. We bring together deep expertise in financial services, digital assets, and decentralizing technologies to help innovators build the next generation of products, services, and experiences.

We're building the AI layer across Serotonin's marketing operations. This role sits at the intersection of AI tooling, GTM strategy, and marketing execution. You will identify where AI can compress timelines, improve output quality, and unlock competitive advantage for our internal teams and clients — and then actually build those systems.

Responsibilities:

📍Audit existing marketing workflows across content, social, PR, growth, and design, and systematically redesign them with AI tooling to increase speed, quality, and scale. 📍Build and maintain AI-powered content and campaign pipelines for internal teams and client accounts, reducing manual effort without sacrificing brand quality. 📍Develop and own a firm-wide prompt library, AI SOPs, and workflow playbooks — the operational backbone that makes AI adoption stick across a 90-person global team. 📍Identify, evaluate, and onboard new AI tools relevant to marketing and GTM; maintain and evolve the firm's AI tooling stack as the landscape shifts. 📍Partner with client teams to diagnose GTM bottlenecks and design AI-assisted solutions — from content at scale to campaign automation to research synthesis. 📍Build no-code and low-code automations that connect AI tools into existing martech stacks (HubSpot, Notion, Slack, social platforms) using tools like Make, Zapier, or n8n. 📍Train and upskill marketing teams across the firm on AI tools and workflows, raising the baseline AI fluency of every team you work with. 📍Define and track the metrics that prove AI workflow impact — time saved, output volume, quality scores, and client adoption — and report findings to leadership.

Requirements:

📍Expert-level prompt engineering across major LLMs (Claude, ChatGPT, Gemini, Perplexity) — you write system prompts, build multi-turn workflows, and iterate until the output is ready to ship externally. 📍Hands-on experience with AI creative tools: image generation (Midjourney, Adobe Firefly), video (Runway, Sora, Kling), and audio (ElevenLabs) in a real marketing context. 📍Workflow automation using no-code/low-code platforms (Make, Zapier, n8n) — you've connected APIs, built multi-step automations, and maintained them in production. 📍Comfortable working with APIs, webhooks, and JSON — enough to connect AI tools even when there's no native integration. 📍Familiarity with AI-native martech: HubSpot AI, Jasper, Copy.ai, Notion AI, Sprout Social, and the broader martech stack. 📍Experience building prompt templates, internal AI playbooks, and training materials that actually get used. 📍Ability to use AI tools to synthesize research, competitive intelligence, and market data at speed — NotebookLM, Perplexity, and similar tools are already part of your workflow. 📍Comfort measuring the performance of AI-assisted campaigns and workflows, including A/B testing AI-generated content. 📍Familiarity with analytics tools (GA4, HubSpot analytics, basic SQL a plus). 📍Familiarity with the web3 GTM landscape: how protocols, DAOs, and crypto projects build audiences, launch products, and grow communities. 📍Working knowledge of how AI and blockchain intersect: AI agents, on-chain AI applications, and decentralized compute. 📍Awareness of on-chain analytics tools (Dune, Nansen, Arkham, Flipside) and how data from these platforms can inform GTM strategy and content.

Nice-to-have: 📍Prior experience in crypto or web3 marketing environments.

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