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fabric is building agentic commerce infrastructure that helps merchants grow and operate in an AI-powered shopping experience. The company is backed by top-tier investors and led by industry and AI veterans, focusing on foundational technology at the intersection of AI, commerce, and user experience.
As Senior Data Scientist for AI Search / AEO Research, you will own the research that defines fabric's AI Shopping roadmap. Your responsibilities include measuring a brand's AI Shopping capability, optimizing for best outcomes, and translating findings into actionable insights. This hybrid role combines research, product thinking, thought leadership, and customer engagement.
You will design studies, build models, publish findings, and work directly with customers to communicate what the data means for their business. The role sits at the intersection of research and product strategy, helping shape how fabric approaches AI-powered commerce.
Key responsibilities:
- Design and execute research studies on AI search and answer engine optimization (AEO/GEO)
- Build and validate models that measure brand AI Shopping capability
- Develop frameworks and metrics that inform fabric's product roadmap
- Publish research findings and establish thought leadership
- Present insights to customers and internal stakeholders
- Contribute to fabric's understanding of how AI is reshaping e-commerce
You bring a demonstrated point of view on AI search, AEO, and GEO. You have deep experience with LLMs, retrieval-augmented generation (RAG), and e-commerce or search systems. You combine technical rigor with the ability to communicate complex findings to non-technical audiences. You're comfortable with ambiguity in a nascent field and excited to help define best practices.
