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Dexory is seeking a product designer to own the end-to-end design process, from early research to a shipped release and subsequent improvements. The role focuses on making dense, live warehouse data readable on floor tablets, control room screens and phones.
You will collaborate with a product manager and an engineering lead to shape the experience. A strong candidate has a few years of shipped B2B or SaaS design, can clearly explain thinking, and has updated a design based on user feedback.
This role is about owning product design from first research through to a shipped, measured release, then improving it afterwards. The work centres on making dense, live warehouse data easy to read on floor tablets, control room screens and phones, working closely with a product manager and an engineering lead. A strong candidate has a few years of shipped B2B or SaaS design, can explain their thinking clearly, and has changed a design because of what real users told them.
AI is part of the product itself here, since the company is building a co-pilot alongside its management layer and multi-site views. That raises the design challenge from laying out screens to deciding when a suggestion is trustworthy, how a person can check it, and how to correct it. What stays human is understanding how a site manager or an operator actually works, and judging which trade-offs are worth making.
Someone in this role would learn how to design around an AI co-pilot that sits on top of live stock data from robot scans, including how to show confidence and let users override it. To build that experience before applying, a candidate could prototype a small assistant for a dashboard, test it with real operations staff, and write up what changed after their feedback.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Autonomous robots scan every pallet in a warehouse each day, per the company, and feed an AI digital twin, so a warehouse manager can see real stock levels instead of what the systems assume.