AI Workflow Engineer

AI Workflow Engineer New York / San Francisco / Chicago / Los Angeles AI / Full-Time / Remote apply for this job 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, crypto 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 crypto ecosystem, connecting builders and founders with essential resources to drive business growth. About the Role  We are building the AI layer across Serotonin's marketing operations. This role sits at the intersection of systems thinking, AI tooling, and marketing execution. You will move across our marketing teams spanning PR, content, growth, social, and design, not to go deep on one team's problems, but to find the friction points that show up everywhere and build things multiple teams can pull from. Your job is to understand how those teams work before you ever open a tool. That means asking the right questions, shadowing stakeholders, mapping actual workflows, and identifying where things slow down. The best outcome is never a custom fix for one person. It's something three teams are running independently six months from now. This role is best suited for someone who listens to a team for 30 minutes, draws a process diagram, identifies the friction point, and ships a working solution within a week. You will work directly with marketing leads and internal and external client teams, translating real workflow problems into outcomes that scale across the organization. Responsibilities Diagnose Bottlenecks - spend real time with our different core marketing teams before touching any tooling. Interview team members, map how work actually moves, and identify where things slow down or break.  Design & Build for Multiple Teams  - build the workflow systems to solve them. That means AI-powered workflows, content and campaign pipelines, and no-code automations that connect into the tools teams already use: HubSpot, Notion, Slack, various native social platforms. Workforce Adoption - You will own the operational backbone that makes AI adoption stick across a 90-person global team: prompt libraries, SOPs, workflow playbooks. You will be responsible for leveling up the AI proficiency across the team.  Maintain & Scale - Work directly with internal & external client teams to diagnose GTM bottlenecks and build AI-assisted solutions, from content at scale to campaign automation to research synthesis. Upleveling - Evaluate, test, and onboard tools as the landscape shifts. Define how we measure impact: time saved, output quality, client adoption, etc and build reports around what is working and what isn't. Requirements The most important thing is how you approach a problem. You should be the kind of person who interviews the full team before proposing a solution, is able to map a workflow end to end after a few conversations, and gets more satisfaction from making someone else's work easier than from showing off what you built. You think in systems that serve multiple stakeholders at once. When you build something for the content team, you are already thinking about how the PR team will use a version of it next month. On the technical side: strong prompt engineering across the major LLMs, hands-on experience with workflow automation tools like Make, Zapier, or n8n in a real production context, and enough comfort with APIs and JSON to connect things when there's no native integration. Familiarity with the broader martech sta...