Marketing Engineer I

Job Description:

• Build and deploy AI agents and automated workflows for daily marketing use, taking them 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 measuring agent output for brand voice, factual grounding, and tone, and 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 built solutions and track adoption and outcomes
• Focus initially on CRM and lifecycle automation, expanding into performance marketing and organic marketing over time
• Report to the AVP of Growth and work within the Marketing team alongside Engineering and Marketing partners
• Deliver agents into recurring use, return manual-work hours to the marketing team, and drive measurable movement in affected KPIs

Requirements:

• Demonstrated portfolio of AI builds, such as agents, LLM workflows, or internal tools shipped for real users; personal projects, internships, and open-source work count
• 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
• Experience with AI development tools such as Claude Code or Cursor
• Ability to explain how to evaluate whether an AI system is working, with experience building or using evaluations
• Proficiency in at least one general-purpose programming language; Python preferred
• Ability to read, debug, and modify unfamiliar code and explain why your own code works
• Working knowledge of REST APIs, authentication, and JSON
• Comfort with Git and version control
• 1-2 years of professional experience in any field
• Marketing knowledge and experience are preferred, but not required
• Exposure to a CRM or marketing automation platform, especially Braze, is preferred
• Experience with React, Streamlit, Retool, or similar is preferred
• SQL or data warehouse querying experience is preferred
• Familiarity with RAG, context engineering, or structured product catalogs is preferred
• Interest in or knowledge of sneakers, streetwear, collectibles, and resale marketplaces is preferred

Benefits:

• 401K
• Paid time off
• Dental insurance
• Medical insurance
• Vision insurance
• Disability insurance options
• Life insurance options
• Direct mentorship from the AVP of Growth
• Collaboration with Engineering and Marketing partners
• Growth in scope and ownership as the Marketing Engineering function matures