AI GTM Engineer

About the role

This role focuses on integrating artificial intelligence into all aspects of marketing operations at Serotonin. The successful candidate will audit current workflows across content, social media, public relations, growth, and design, then redesign them using AI tools to improve efficiency, quality, and scalability. This involves creating and maintaining AI-powered content and campaign pipelines for both internal teams and client accounts, with the goal of reducing manual effort while preserving brand standards.

A key part of this position is establishing the operational framework for AI adoption across the 90-person global team. This includes developing and managing a firm-wide prompt library, standard operating procedures for AI use, and workflow playbooks. The engineer will also be responsible for identifying, evaluating, and integrating new AI tools relevant to marketing and go-to-market strategies, ensuring Serotonin's AI stack remains current.

Success in this role means not only building and implementing AI solutions but also proving their impact. The engineer will define and track metrics such as time saved, output volume, quality scores, and client adoption, reporting these findings to leadership. Additionally, they will train marketing teams across the firm, enhancing their AI fluency and ensuring widespread, effective use of new tools and workflows.

The competitive salary for this role ranges from $80,000 to $190,000 annually, depending on experience and qualifications.

Skills that matter here

• prompt engineering: This role requires expert-level prompt engineering across various large language models to build effective AI-powered marketing workflows.
• workflow automation: The engineer will use no-code/low-code platforms to automate marketing tasks and connect AI tools with existing martech stacks.
• marketing execution: This position involves applying AI tools to enhance practical marketing activities across content, social, PR, and growth.
• APIs: Comfort with APIs is necessary for connecting different AI tools and marketing platforms to create integrated solutions.
• analytics tools: The role involves using analytics tools to measure the performance and impact of AI-assisted campaigns and workflows.
• no-code/low-code platforms: These platforms will be used to build automations that link AI tools into existing marketing technology stacks.

Who this role suits

• Someone who enjoys systematically identifying inefficiencies and designing technical solutions to address them.
• An individual who thrives on building operational frameworks and training others to adopt new technologies.
• A person who is comfortable evaluating emerging tools and adapting strategies as the technological landscape evolves.
• Someone with strong critical thinking skills, particularly when assessing the outputs of AI systems.

From the employer

• 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)
• 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)
• Comfortable working with APIs, webhooks, and JSON
• Familiarity with AI-native martech: HubSpot AI, Jasper, Copy.ai, Notion AI, Sprout Social
• Experience building prompt templates, internal AI playbooks, and training materials
• Ability to use AI tools to synthesize research, competitive intelligence, and market data
• Comfort measuring the performance of AI-assisted campaigns and workflows
• Familiarity with analytics tools (GA4, HubSpot analytics, basic SQL a plus)
• Strong critical thinking around AI outputs.

• Competitive Salary
• Health Insurance (US Only)
• 401(k) (US Only)
• Remote Work Environment
• Maternity/Paternity Leave
• Salary range: $80,000 - $190,000 a year, dependent on experience and qualifications.