Serotonin is a leading go-to-market firm for transformative technologies, offering specialized services in marketing, strategy, recruiting, and legal. With a global presence across 15 countries and a team of 90, Serotonin has supported over 300 clients since 2020 in areas like consumer tech, web3 infrastructure, digital assets, and AI. The company provides comprehensive GTM solutions across various marketing channels including public relations, growth marketing, on-chain analytics, content, research, social, and design, aiming to accelerate global innovation. The Serotonin Platform serves as a central hub for the web3 ecosystem, connecting builders and founders with crucial resources for business growth.

About the Position

Introduction

Serotonin is seeking an AI & GTM Engineer to build and implement AI solutions across its marketing operations. This role focuses on leveraging AI tools to enhance marketing workflows, improve output quality, and gain a competitive edge for both internal teams and clients in the transformative technologies sector, including web3, consumer tech, and AI.

Responsibilities

Audit existing marketing workflows (content, social, PR, growth, design) and redesign them using AI tooling to boost speed, quality, and scalability.
Develop and maintain AI-powered content and campaign pipelines for internal teams and client accounts, minimizing manual effort while preserving brand quality.
Create and manage a firm-wide prompt library, AI SOPs (Standard Operating Procedures), and workflow playbooks to ensure consistent AI adoption across the global team.
Research, evaluate, and integrate new AI tools relevant to marketing and Go-To-Market (GTM) strategies, continuously evolving the firm's AI tooling stack.
Collaborate with client teams to diagnose GTM challenges and design AI-assisted solutions, ranging from large-scale content generation to campaign automation and research synthesis.
Develop no-code and low-code automations to connect AI tools with existing martech stacks (e.g., HubSpot, Notion, Slack, social platforms) using platforms like Make, Zapier, or n8n.
Provide training and upskilling to marketing teams on AI tools and workflows, enhancing the overall AI fluency within the organization.
Establish and monitor metrics (e.g., time saved, output volume, quality scores, client adoption) to demonstrate the impact of AI workflows and report findings to leadership.

Requirements

Core Technical Skills

Expert-level prompt engineering for major LLMs (Claude, ChatGPT, Gemini, Perplexity), including writing system prompts, building multi-turn workflows, and iterating outputs for external use.
Hands-on experience with AI creative tools such as image generation (Midjourney, Adobe Firefly), video (Runway, Sora, Kling), and audio (ElevenLabs) within a practical marketing context.
Proficiency in workflow automation using no-code/low-code platforms (Make, Zapier, n8n), including connecting APIs, building multi-step automations, and maintaining them in production.
Comfort working with APIs, webhooks, and JSON to integrate AI tools even without native integrations.
Familiarity with AI-native marketing technology solutions like HubSpot AI, Jasper, Copy.ai, Notion AI, Sprout Social, and how they integrate into broader martech ecosystems.
Experience in creating prompt templates, internal AI playbooks, and training materials that are effectively utilized.

Analytical & Data Science Expertise

Ability to use AI tools for rapid synthesis of research, competitive intelligence, and market data; familiarity with tools like NotebookLM and Perplexity.
Competency in measuring the performance of AI-assisted campaigns and workflows, including A/B testing AI-generated content and interpreting data.
Skill in translating AI workflow data and campaign performance into clear strategic recommendations for clients and internal stakeholders.
Familiarity with analytics tools (GA4, HubSpot analytics, basic SQL is a plus), demonstrating comfort with spreadsheets and dashboards.
Strong critical thinking regarding AI outputs, knowing when to trust models and when to override them, and integrating this judgment into workflow design.

Nice to Have

Blockchain & Web3 Experience

Familiarity with the web3 GTM landscape, including how protocols, DAOs, and crypto projects build audiences, launch products, and grow communities.
Working knowledge of the intersection of AI and blockchain, including AI agents, on-chain AI applications, decentralized compute, and their implications for GTM strategies.
Awareness of on-chain analytics tools (Dune, Nansen, Arkham, Flipside) and their use in informing GTM strategy and content.
Strong interest in the blockchain and web3 space, with prior experience in crypto or web3 marketing environments being a significant advantage.