[All remote jobs](https://jobicy.com/jobs.md)[![GOAT Group logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/01/c909cc001372fa9c2338dfd2d06dfdd8.png)](https://jobicy.com/company/goat-group.md)[GOAT Group](https://jobicy.com/company/goat-group.md) # Marketing Engineer I Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/goat-group.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 80k–130k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceOpen levelPublished31 Oct 2026Apply before30 Nov 2026Listing views54Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. GOAT Group is hiring an early-career Marketing Engineer to build production AI agents, LLM workflows, and internal tools for its marketing organization. The role initially focuses on CRM and lifecycle automation in Braze, with expansion into performance and organic marketing systems. Responsibilities include integrating APIs and MCP servers, maintaining prompt and agent libraries, creating evaluation suites, and measuring adoption and business impact. Candidates need demonstrable hands-on AI projects, LLM API and agent-orchestration experience, Python proficiency, and practical knowledge of REST APIs, JSON, Git, and authentication. This remote U.S. role reports to the AVP of Growth and offers significant mentorship and ownership as the function develops. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThe position requires shipping reliable AI systems rather than prototypes, including evaluation, integration, version control, and production adoption. It combines fast-moving LLM tooling with marketing workflow design and stakeholder enablement. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Highly competitive$105,000US market range (per year)$85k–$125k0$137.50k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a hiring range of $80,000–$130,000 USD, with U.S. geographic pay tiers. The posting does not explicitly state a cadence, but yearly pay is inferred from the full-time U.S. professional role and compensation magnitude. The estimated market range for an early-career AI/marketing engineering role in the U.S. is $85,000–$125,000 USD per year. ## Core skills Skills and capabilities most closely associated with this opportunity. [LLM APIs](https://jobicy.com/jobs?search_keywords=LLM%20APIs.md)[AI agents](https://jobicy.com/jobs?search_keywords=AI%20agents.md)[Agent orchestration](https://jobicy.com/jobs?search_keywords=Agent%20orchestration.md)[Prompt engineering](https://jobicy.com/jobs?search_keywords=Prompt%20engineering.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[REST APIs](https://jobicy.com/jobs?search_keywords=REST%20APIs.md)[JSON](https://jobicy.com/jobs?search_keywords=JSON.md)[Git](https://jobicy.com/jobs?search_keywords=Git.md)[AI evaluation](https://jobicy.com/jobs?search_keywords=AI%20evaluation.md)[Marketing automation](https://jobicy.com/jobs?search_keywords=Marketing%20automation.md)[Braze](https://jobicy.com/jobs?search_keywords=Braze.md)[MCP servers](https://jobicy.com/jobs?search_keywords=MCP%20servers.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[React](https://jobicy.com/jobs?search_keywords=React.md)[Workflow automation](https://jobicy.com/jobs?search_keywords=Workflow%20automation.md) Sample interview questionsDescribe an AI agent or LLM workflow you built that people used repeatedly. What problem did it solve and how did you measure success?I would explain the user workflow, the agent architecture, integrations, and safeguards, then quantify usage, time saved, output quality, or a relevant business KPI. I would also share what changed after user feedback and how I maintained the system. How would you evaluate an agent that generates lifecycle marketing messages before it is allowed to send content to customers? I would create a versioned evaluation set covering brand voice, factual accuracy, offer and product constraints, tone, personalization, and edge cases. I would combine automated checks such as schema validation and groundedness tests with human review, set release thresholds, and monitor production outcomes for regressions. How would you design a workflow that allows an agent to use customer and product data safely through APIs? I would use scoped authentication, least-privilege access, validated tool schemas, and clear separation between read and write actions. I would log tool calls, sanitize inputs, enforce authorization checks, and require approvals or guardrails for consequential actions such as campaign creation or sends. What is your approach to taking an n8n, Zapier, or Python prototype into a reliable production workflow? I would define the workflow contract, add error handling, retries, idempotency, observability, and alerts, then version prompts and configuration in Git. I would test against realistic data, document ownership, and roll out incrementally while tracking adoption and operational failures. How would you work with a marketing partner who has an idea for automation but limited technical context? I would start by mapping the current process, identifying repetitive steps and measurable outcomes, and proposing a small testable version. I would communicate constraints in plain language, provide training and documentation, and use feedback and usage data to improve the tool after launch. Opportunity details ## About this role. About the Team An instrumental part of GOAT Group, the Marketing team oversees a wide range of activities, which aim to build awareness, consideration and loyalty for our brands. As a member of this team, you will work to execute thoughtful, data-driven marketing campaigns that drive meaningful growth for the company. 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 are hiring primarily for demonstrated ability to build with LLMs and agent tooling. Marketing knowledge and experience are preferred, but not required. Reporting to the AVP of Growth, you will work inside 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. We expect strong candidates to arrive with more AI experience than marketing or engineering experience. If you have been shipping agents and can show us what they do, we will help you close the rest. In this role, you will: * 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. How Success Is Measured Agents shipped into recurring use, hours of manual work returned to the marketing team, and 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 you shipped that real people used. Personal projects, internships, and open-source work count. Be prepared to walk us 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: 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. You 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. We are evaluating what you can build, not where you have worked. Preferred Qualifications * Exposure to a CRM or marketing automation platform. Braze (Liquid, Canvas, REST API) is 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 Growth and Development You will receive direct mentorship from our AVP of Growth, and work alongside partners in Engineering and Marketing. As the Marketing Engineering function matures here, the role is expected to grow in scope and ownership. GOAT Group uses geographic pay tiers based on the employee’s home state to align compensation with market differences across the U.S. Hiring Range: Tier 1 (Includes states such as California, New York (including New York City), Washington, Illinois and other higher-cost markets) $113,210 – $130,000 USD Tier 2 – (Includes mid-cost markets across the U.S.) $90,300 – $101,000 USD Tier 3 – (All other U.S. locations) $80,000 – $89,085 USD The hiring range for this position is below, plus benefits (401K, paid time off, dental, medical, vision, disability, life insurance options). To determine starting pay within the hiring range, we carefully consider a variety of factors, including primary work location, role/level, a candidate’s skills, experience, market demands, and internal parity. You may reach out to a recruiter for additional information. Hiring Range: $80,000—$130,000 USD GOAT Group represents the leading platforms for authentic sneakers, apparel and accessories. Operating four distinct brands–GOAT, Flight Club, Grailed and alias–GOAT Group has a global community of more than 60 million members across 170 countries. GOAT is the global platform for the greatest products from the past, present and future. Since its founding in 2015, GOAT has become one of the leading and most trusted sneaker platforms in the world, and has expanded to offer apparel and accessories from select emerging, contemporary and iconic brands. Through its unique positioning between the primary and resale markets, the company offers styles across various time periods on its digital platforms and in its retail locations, while delivering products to over 60 million members across 170 countries. Established in New York City over 15 years ago, Flight Club revolutionized sneaker retail as the original consignment store for rare shoes. Carrying the rarest exclusives and collectible sneakers, Flight Club has evolved from a one-stop sneaker destination, to a cultural hub for sneaker enthusiasts and novices alike. With three brick-and-mortar locations in New York City, Los Angeles and Miami, Flight Club remains the premier source for authentic, rare sneakers. Founded in 2013, Grailed is the leading community-driven marketplace for rare luxury, streetwear and vintage fashion. The marketplace was built for enthusiasts, by enthusiasts, and features products from brands including Supreme, Raf Simons, Gucci, Saint Laurent, Balenciaga, Prada and more. With a highly curated selection of resale pieces including inventory exclusive to the platform, Grailed makes fashion accessible. The company is backed by strategic investor Foot Locker, Inc. as well as some of the leading names in venture capital including Park West Asset Management, T. Rowe Price Associates, Inc., Franklin Templeton, Adage Capital Management, Ulysses Management, D1 Capital Partners, Accel, Andreessen Horowitz, Index Ventures, Matrix Partners, Upfront Ventures, Webb Investment Network and Y Combinator. GOAT Group will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, if applicable. By applying, you authorize GOAT Group to send you text messages regarding your job application, interview and/or onboarding process, and other job opportunities at GOAT Group. If you are a California resident, please review our [California Privacy Rights Notice for Job Applicants](https://drive.google.com/file/d/1pB5MpWDWy_tuFPxbN53P-mHzsJ4-WbHM/view?usp=sharing). 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