AI Operations Analyst, Growth

Being naked is the #1 most sustainable option. We're #2. Since 2009, we've been on a mission to bring sustainable fashion to everyone. Named one of Fast Company’s Brands That Matter and winning a Best Carbon Footprint award, we have big goals like being Climate Positive by 2025, Circular by 2030, and pushing the whole industry forward along the way. Our work has gotten love in Drapers and Sourcing Journal, and TIME wrote about how great our CEO, Hali Borenstein, is. Basically, we're saving the Earth and looking damn good doing it. We're a global brand with 50+ stores (and counting) around the world, and our own sustainable factory in LA. We innovate across categories like accessories, swimwear, and sleepwear, and we reach millions of people with campaigns like this, this and this. None of this work is possible without the incredible people behind it. We're a mission-based company that invests in an inclusive culture, so we can innovate together and ensure everyone has the space to grow, thrive, and belong. And starting right now, we want to do all that with you.

About the role

The AI Operations Analyst, Growth serves as the technical engine and operational backbone of our Growth Marketing team. In this role, you won't just execute campaigns; you will build the automated infrastructure, AI agents, and data pipelines that scale our entire growth engine. By combining analytical rigor with AI, low-code workflow builders, custom APIs, and autonomous agents, you will critically evaluate current processes, eliminate manual bottlenecks, and ensure our Growth Marketing team operates at peak velocity.

Responsibilities

• Automation Engineering: Design, build, and maintain low-code integration pipelines connecting ad channels, customer segmentation and targeting, and data warehouses to ensure seamless data flow and eliminate manual work.
• AI Agent Deployment: 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.
• Analytics & Reporting Infrastructure: Pipe multi-channel marketing data across Meta, Google, and internal databases into automated dashboards, incorporating anomaly monitoring to keep data 100% accurate.
• Process Improvement: Critically audit legacy marketing workflows and operational bottlenecks across cross-functional teams, bringing formal recommendations and programmatic solutions to management.
• Documentation & AI Enablement: Manage internal prompt libraries, build AI SOPs, and document system architecture to enable the broader marketing team to leverage best-in-class AI capabilities.
• Cross-Functional & Ad-Hoc Support: Act as an operational liaison between Growth, Product, and Data teams while providing