Senior Data Scientist, AI Search / AEO Research

Come build the future of commerce with us at fabric. We're building the agentic commerce infrastructure that helps merchants grow, sell, and operate in today's AI-powered shopping experience. Backed by top-tier investors and led by industry and AI veterans, our team is building foundational technology at the intersection of AI, commerce, and great user experience.

• A demonstrated point of view on AI search (AEO/GEO). Whether you've worked hands-on with answer engine / generative engine optimization or studied AI search and digital markets rigorously, you can show what you've learned about how AI search actually behaves — from evidence, not just opinion.
• A rigorous quantitative foundation. Strong data science, statistical, and causal-inference / econometric skills, with fluency in Python, SQL, or similar. You can frame a question, design the analysis, build the model, and defend the methodology.
• Original research experience. You've run benchmarks, market studies, or performance studies — designing the question and the method, not just running standard reports.
• An SEO / search discovery background. You understand discovery from the inside and have grown into rigorous, data-driven measurement of it.
• Experimentation chops. You've designed and run A/B tests or similar to validate an idea and separate signal from noise.
• Storytelling with data. You can turn raw numbers into a clear narrative and a defensible point of view, and explain complex findings to non-technical audiences.
• Comfort with ambiguity. You can help build a measurement function from scratch, not just execute one someone else designed.
• Deep curiosity about commerce. Genuine interest in e-commerce, marketing, and analytics — you want to understand why shoppers and algorithms behave the way they do.

• External recognition for your research — press, whitepapers, published benchmarks, or conference talks.
• Customer-facing or consulting experience — you're comfortable presenting findings and recommendations directly to customers.
• Familiarity with the AEO/GEO tooling landscape and how brands currently try to measure AI visibility.
• Experience at an e-commerce, martech, or search company or working closely with retail brands and their product data.
• An advanced degree or academic research background in economics, digital markets, computational social science, or a related quantitative field.