UX & Predictive Experience Lead Researcher
Company: Safelite
Location: Columbus, OH 43235 (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-09-01
About this role
## Job description
Does this position interest you? You should apply – even if you don’t match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work.
A Brief Overview
Safelite is the leader in auto glass service, continuously raising the bar for experiences that are easy, fast, and done. Digital is central to that ambition and to how we serve consumers, clients, and colleagues.
We are seeking a UX & Predictive Experience Lead Researcher to increase learning velocity across our digital product organization. You will build new ways to understand and anticipate customer behavior, combining first-party behavioral data, predictive modeling, AI, experimentation, and direct customer research to help teams learn earlier, make better decisions, and invest with greater confidence.
Reporting to the Director of Product Design, you will lead this capability as a senior individual contributor, working across research, design, product, analytics, and data science.
This is a role for someone who sees research as a learning system, not a sequence of studies. You will help us determine what we can learn from existing signals, what we can predict or simulate, what we should test, and when direct customer engagement will create new understanding.
What you will do
- Increase learning velocity
- Build a learning system that helps teams reduce uncertainty earlier in the product development cycle.
- Use behavioral data, predictive methods, simulation, AI, experimentation, and research together, choosing the method based on the decision we need to make.
- Create ways to explore multiple hypotheses and experience directions before committing significant time and investment.
- Help teams distinguish between what we know, what the evidence sugge...