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 measurea brand's AI Shopping capability and how we optimizefor 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.