Marketing Engineer I

Remote US · US (Remote) · 1-2 years experience · Remote · Posted Oct 12, 2026

At a glance

GOAT Group is seeking a Marketing Engineer I to build the AI systems that run our marketing.
This is an AI-first role focusing on building with LLMs and agent tooling to replace manual, repetitive workflows with agents, pipelines, and internal tools.

Build and deploy AI agents and automated workflows that marketing teams use daily, taking them from prototype to production rather than stopping at a demo.
Automate campaign development in Braze, including template-driven generation, reusable segmentation logic, product-level personalization, and pre-send QA.
Write evaluation suites that measure agent output for brand voice, factual grounding, and tone, and that catch 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.

A demonstrated portfolio of AI builds: agents, LLM workflows, or internal tools you shipped that real people used.
Hands-on experience with LLM APIs such as Anthropic or OpenAI, including prompt design, structured outputs, and tool use.
Practical experience with agent orchestration platforms such as n8n, Zapier, Make, or Gumloop, and with AI development tools such as Claude Code or Cursor.
Evaluation literacy: you can explain how you would know whether an AI system is working, and you have built or used evals to find out.
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.

Exposure to a CRM or marketing automation platform, with Braze (Liquid, Canvas, REST API) being most directly 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 or knowledge of sneakers, streetwear, collectibles, and resale marketplaces.

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