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Salary: USD 75,000 - 95,000 / annual
Reformation is a sustainable fashion brand founded in 2009, on a mission to make sustainable fashion accessible to everyone. The company operates 50+ stores globally and maintains its own sustainable factory in LA. Named one of Fast Company's Brands That Matter and winner of a Best Carbon Footprint award, Reformation is pursuing ambitious goals including becoming Climate Positive by 2025 and Circular by 2030.
The AI Operations Analyst, Growth role serves as the technical engine and operational backbone of the Growth Marketing team. This is a hybrid position based in Culver City, CA (4 days in-office, 1 day remote).
In this role, you will build automated infrastructure, AI agents, and data pipelines that scale the entire growth engine. You'll combine analytical rigor with AI, low-code workflow builders, custom APIs, and autonomous agents to evaluate current processes, eliminate manual bottlenecks, and ensure the Growth Marketing team operates at peak velocity.
Key responsibilities include:
- Design, build, and maintain low-code integration pipelines connecting ad channels, customer segmentation, targeting, and data warehouses to ensure seamless data flow and eliminate manual work
- Prototype and deploy custom LLM-powered agents and internal tools via Claude API for automated ad optimization, complex global performance analyses, media management, and anomaly alerting across marketing platforms
- Pipe multi-channel marketing data from Meta, Google, and internal databases into automated dashboards with anomaly monitoring
- Critically audit legacy marketing workflows and operational bottlenecks across cross-functional teams, bringing formal recommendations and programmatic solutions to management
- Manage internal prompt libraries, build AI SOPs, and document system architecture to enable the broader marketing team to leverage AI capabilities
- Act as an operational liaison between Growth, Product, and Data teams while providing flexible project-based support as business needs evolve
Requirements:
- Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business Analytics, or a related technical field (or equivalent portfolio of hands-on technical side projects)
- 1–2 years of experience in AI operations, marketing systems, data analytics, or technical marketing roles
- Hands-on, AI-native proficiency with LLM tools and APIs (OpenAI API, Anthropic Claude, custom prompt engineering frameworks)
- Demonstrated capability building logic, triggers, and actions in workflow automation platforms
- Practical coding or scripting ability in Python or JavaScript, with strong command of REST APIs, Webhooks, JSON payloads, and SQL database queries
- High learning agility, direct communication skills, and scrappy problem-solving approach to ship working prototypes without step-by-step supervision
- Bonus: Familiarity with core growth marketing metrics (CAC, LTV, ROAS) or personal GitHub/portfolio showcasing web scrapers, custom GPTs, or automation bots
