AI & GTM Engineer

Who is Serotonin
Serotonin is the top go-to-market firm for transformative technologies, specializing in marketing, strategy, recruiting, and legal services. With a global team of 90 across 15 countries, Serotonin has supported over 300 clients in consumer tech, web3 infrastructure, digital assets, venture capital, and AI since its launch in 2020. Delivering end-to-end go-to-market solutions across all major marketing channels - including public relations, growth marketing, on-chain analytics, content, research, social, and design - Serotonin accelerates global innovation. At the core of our business is the Serotonin Platform, serving as a central nucleus for the web3 ecosystem, connecting builders and founders with essential resources to drive business growth.

About the Role
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.
This isn’t a role for someone who wants to talk about AI. It’s for someone who ships AI-powered workflows regularly and iterates based on the next best thing out there. You’ll work directly with marketing leads, account teams, and clients across web3, consumer tech, and AI - translating cutting-edge AI capabilities into practical GTM impact.

• 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

• 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

• Doesn’t care about rigid job titles: is equally comfortable acting as a strategist, a builder, a trainer, or an operator depending on what the problem demands

• Loves tinkering and experimenting with new tools before anyone else has heard of them: and has the judgment to know which ones are worth deploying at scale
• Gets energy from hard, ambiguous problems: not from following established playbooks, but from writing the new ones
• Ships fast and isn’t precious about being wrong on the first try
• Wants to see their work create real client impact: not just live in a deck or a Notion doc that nobody reads

• Believes AI is a multiplier, not a shortcut: and builds workflows that reflect the difference

• Thrives in a fast-moving, globally distributed team where autonomy is high and there’s no one to hand the problem off to

• Competitive Salary

• Health Insurance (US Only)
• 401(k) (US Only)

• Remote Work Environment

• Maternity/Paternity Leave

The salary range for this role is dependent on a variety of factors including level of experience, skills, and qualifications. Final compensation will be determined through the interview process.