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Salary: USD 80,000 - 130,000 / annual
GOAT Group is seeking a Marketing Engineer I to build AI systems that power marketing operations. This is an AI-first role focused on demonstrable ability to build with LLMs and agent tooling. Marketing knowledge is preferred but not required.
Reporting to the AVP of Growth, you will work within the Marketing team to replace manual, repetitive workflows with AI agents, pipelines, and internal tools. Your initial focus is CRM and lifecycle automation using Braze, expanding into performance marketing and organic marketing over time. The company expects strong candidates to arrive with more AI experience than marketing or engineering experience, and values demonstrated ability to ship agents to production.
Key responsibilities include:
- Build and deploy AI agents and automated workflows that marketing teams use daily, moving 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 that measure agent output for brand voice, factual grounding, and tone to catch regressions before reaching 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 shipped
Success is measured by agents shipped into recurring use, hours of manual work returned to the marketing team, and measurable movement in KPIs your systems touch.
You will 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.
REQUIREMENTS:
Required:
- Demonstrated portfolio of AI builds: agents, LLM workflows, or internal tools you shipped that real people used (personal projects, internships, and open-source work count); be prepared to walk through one
- 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: ability to explain how you would know whether an AI system is working, and have built or used evals to find out
- Proficiency in at least one general-purpose programming language (Python preferred); can read, debug, and modify code you did not write, and explain why your own code works
- Working knowledge of REST APIs, authentication, and JSON, plus comfort with Git and version control
- 1-2 years of professional experience in any field (evaluated on what you can build, not where you have worked)
Preferred:
- Exposure to a CRM or marketing automation platform, particularly Braze (Liquid, Canvas, REST API)
- 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
