AI Workflow Engineer

About the role

This position involves diagnosing inefficiencies within Serotonin's marketing operations by engaging with various teams to understand their current workflows and identify areas for improvement. The AI Workflow Engineer will then design and build AI-powered systems, content pipelines, and no-code automations that integrate with existing tools like HubSpot, Notion, and Slack to resolve these bottlenecks.

A key aspect of this role is ensuring the successful adoption of AI tools across a global team of 90 individuals. This includes developing prompt libraries, standard operating procedures, and workflow playbooks. The engineer will also be responsible for enhancing the team's overall AI proficiency and evaluating new tools as the technological landscape evolves.

Success in this role means not only building effective solutions but also maintaining and scaling them to support internal and external client teams. The engineer will define and track metrics such as time saved, output quality, and client adoption to measure the impact of their work, providing reports on what is effective and what requires adjustment.

The compensation for this role is between $80,000 and $190,000 USD, depending on experience and qualifications.

Skills that matter here

• AI: This role involves building AI-powered workflows and enhancing AI proficiency across the team.
• workflow automation: The engineer will design and implement automated systems to streamline marketing processes.
• prompt engineering: Strong skills in prompt engineering for major large language models are required to create effective AI solutions.
• APIs: Comfort with APIs is necessary for connecting different tools when native integrations are not available.
• JSON: Familiarity with JSON is needed to facilitate data exchange between various systems.
• HubSpot: The role requires integrating AI solutions with existing tools like HubSpot.

Who this role suits

• You are someone who prioritizes understanding a problem thoroughly by interviewing team members before proposing solutions.
• You thrive on making others' work easier and derive satisfaction from improving operational efficiency for multiple stakeholders.
• You naturally think in terms of scalable systems that can serve various teams and anticipate future needs.
• You possess a foundational understanding of how different marketing teams, such as PR, content, growth, and social, operate day-to-day.

From the employer

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 stack and AI creative tools matters too, but these are learnable.
• You should understand how a marketing team operates at the foundational level, in regards to how the PR, content, growth, and social teams actually function day to day. Knowing the difference between a campaign brief and a distribution workflow, and why that matters when you're designing an AI system around it.
• Crypto or Crypto marketing experience is a real plus, but not required.

Benefits

• Competitive Salary
• Health Insurance (US Only)
• 401(k) (US Only)
• Remote Work Environment
• Parental Leave