Senior Data Scientist, AI Search / AEO Research

*Who we are: *

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.

*Where we hire: *We are both a remote-first and hybrid employer (depending on your role and location). We focus on building our team in the following geographic locations depending on the role.

*Your next career:*

Shopping is moving from search boxes to answer engines. Shoppers now ask ChatGPT, Perplexity, Gemini, and AI Overviews what to buy — and brands win or lose on whether AI represents their products accurately. This is a wide-open field with no established playbook, and fabric is defining it.

You'll own the research that helps define our AI Shopping roadmap. That means helping shape how we measure a brand's AI Shopping capability and how we optimize for the best outcomes. Your work becomes the research behind fabric's roadmap and the credibility behind our thought leadership.

This is a hybrid role by design — part researcher, part PM, part evangelist, part customer-facing. You'll design the studies, build the models, publish the findings, and sit with customers to show them what the data means for their business.

*What you bring to the table:*

• *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.

*Nice to have*

• *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.