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Marketing Engineer I

GOAT · Remote US

remotejunior$80,000–$89,085Posted Oct 12, 2026PythonOpenAIAnthropicREST APIsJSONGitReactSQL

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About this role

## Marketing Engineer I ### About the Team An instrumental part of GOAT Group, the Marketing team oversees a wide range of activities aimed at building awareness, consideration, and loyalty for our brands. As a member of this team, you’ll execute thoughtful, data-driven marketing campaigns that drive meaningful growth. ### Role Overview GOAT Group is seeking a **Marketing Engineer I** to build the AI systems that run our marketing. This is an **AI-first role**—we’re hiring primarily for demonstrated ability to build with **LLMs and agent tooling**. Marketing knowledge is preferred, but not required. Reporting to the **AVP of Growth**, you’ll work within the Marketing team to replace manual, repetitive workflows with **agents, pipelines, and internal tools**. Your first focus is **CRM and lifecycle automation**, expanding into **performance marketing** and **organic marketing** over time. ### In this role, you will - Build and deploy **AI agents** and **automated workflows** that marketing teams use daily—taking projects from prototype to production. - Automate campaign development in **Braze**, including template-driven generation, reusable segmentation logic, product-level personalization, and pre-send QA. - Write **evaluation suites** to measure agent output for brand voice, factual grounding, and tone—catching regressions before they reach customers. - Maintain a **version-controlled library** of prompts, skills, and agent definitions as shared team infrastructure. - Integrate marketing and product systems through **APIs and MCP servers** so agents can act on real GOAT data. - Train marketing partners on what you build, and track adoption and outcomes for everything you ship. ### How success is measured - Agents shipped into recurring use - Hours of manual work returned to the marketing team - Measurable movement in the KPIs your systems touch ### We are looking for **Required Qualifications** - A demonstrated portfolio of AI builds (agents, LLM workflows, or internal tools) that real people used—be prepared to walk us through one. - Hands-on experience with **LLM APIs** (e.g., Anthropic or OpenAI), including prompt design, structured outputs, and tool use. - Practical experience with agent orchestration platforms (e.g., n8n, Zapier, Make, Gumloop) and AI development tools (e.g., Claude Code, Cursor). - **Evaluation literacy**: you can explain how you’d know whether an AI system is working, and you’ve built/used evals. - Proficiency in at least one general-purpose programming language (**Python preferred**). - Working knowledge of **REST APIs**, authentication, and **JSON**, plus comfort with **Git** and version control. - **1–2 years** of professional experience in any field (we evaluate what you can build). **Preferred Qualifications** - Exposure to a CRM or marketing automation platform (Braze: Liquid, Canvas, REST API is most relevant). - Experience building simple internal interfaces with React, Streamlit, Retool, or similar. - SQL or experience querying a data warehouse. - Familiarity with RAG, context engineering, or building on structured product catalogs. - Interest in sneakers, streetwear, collectibles, and resale marketplaces. ### Growth and Development You’ll receive direct mentorship from the **AVP of Growth** and work alongside partners in Engineering and Marketing. As the Marketing Engineering function matures, the role is expected to grow in scope and ownership. ### Compensation (Hiring Range) - **Tier 1:** $

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