Serotonin is a leading go-to-market firm specializing in transformative technologies, and they are seeking an AI & GTM Engineer to enhance their marketing operations. This role involves building AI-powered workflows and tools to improve efficiency and effectiveness in marketing strategies for clients and internal teams.
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 these tools plug into
- Experience building prompt templates, internal AI playbooks, and training materials that actually get used - not just written
- 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: you know how to A/B test AI-generated content and interpret what the data is telling you
- Ability to translate AI workflow data and campaign performance into clear strategic recommendations for clients and internal stakeholders
- Familiarity with analytics tools (GA4, HubSpot analytics, basic SQL a plus), you're not a data scientist, but you're not afraid of a spreadsheet or a dashboard
- Strong critical thinking around AI outputs - you know when to trust the model and when to override it, and you build that judgment into the workflows you create
- Familiarity with the web3 GTM landscape: how protocols, DAOs, and crypto projects build audiences, launch products, and grow communities is not foreign to you
- Working knowledge of how AI and blockchain intersect: AI agents, on-chain AI applications, decentralized compute, and what these mean for how clients go to market
- Awareness of on-chain analytics tools (Dune, Nansen, Arkham, Flipside) and how data from these platforms can inform GTM strategy and content
- Strong interest in the space is the baseline: prior experience in crypto or web3 marketing environments is a strong plus