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Quince is a manufacturer-to-consumer (M2C) fashion and accessories brand on a mission to deliver high-quality essentials at low prices, fairly and sustainably. The company operates a Series D-backed, high-growth business spanning apparel, accessories, home goods, and more, serving tens of millions of customers globally.
You will serve as the technical architect of Quince's end-to-end multi-agent agentic infrastructure for marketing execution and user growth. This is a high-impact individual contributor role focused on transitioning the company away from manual optimization loops by designing a software layer that autonomously handles creative asset generation, event-driven multi-agent workflows, and cross-platform campaign management and optimization.
Key responsibilities include:
- Architect and own Quince's end-to-end multi-agent event streams and automated systems driving brand category scaling
- Write clean, highly scalable service-layer code to maximize Large Language Models (such as Claude) and advanced prompt validation tools for real-time operational execution
- Design and scale custom automated content loops and multi-modal asset pipelines that autonomously synthesize high-quality marketing copy, graphics, and video layouts
- Build and refine autonomous decisioning pipelines that integrate with data matrices to dynamically model and optimize real-time asset deployment across platform networks
- Establish rigorous confidence limits, prompt versioning protocols, and automated fallback/rollback frameworks to handle complex LLM failure modes safely under heavy web scale
- Partner closely with Product Management, Data Science, and Engineering squads to define unified catalog schemas and eliminate cross-platform ingestion and data latency bottlenecks
- Improve ads delivery efficiency by 20% in the first 6 months while scaling volume
Required qualifications: 8+ years of technical experience including 1–2 years of corporate/industry experience; expert-level Python and SQL; demonstrated mastery of advanced LLM integration frameworks and data serialization patterns; ability to operate independently on ambiguously defined algorithmic or statistical optimization problems; proven track record shipping real-world software with measurable revenue and operational impact.
