Lead Configurator Engineer (CPQ)

Role summary Configurators are how our customers find the exact sensor, encoder, or instrument they need from a catalog with thousands of variants. You'll own the configurator stack — primarily **Vistech**, plus the front-end glue (BigCommerce / Catalyst) and the rules + pricing flow back to JDE / SAP. We have 5+ live configurators today and a roadmap of 10+ more, plus a long-term move toward AI-assisted configuration. What you'll do Build new configurators on **Vistech** for new product families across the four OpCos (sensors, encoders, controls, fluid management). Maintain and extend the 5+ live configurators on hengstler.com and dynapar.com — adding SKUs, rules, validation, pricing logic. Wire configurator output cleanly into the BigCommerce cart / quote / order flow (Catalyst storefront + BC B2B Edition). Integrate 3D models (GLB / GLTF / USDZ) and own visualisation quality on both desktop and mobile. Partner with Product Management on configurator UX — reducing clicks to a valid configuration is a direct revenue lever. Build re-usable patterns so each new configurator costs less than the last (target: 50% reduction in configurator build time by year-end). Prototype AI-assisted configuration (e.g., 'describe your application, get a recommended config') — the next major bet on this team. Own QA for configurator changes alongside the QA Automation Engineer; treat configurator failures as P0. Must have 5+ years building configurator, CPQ, or rules-driven catalog applications. Direct hands-on experience with **Vistech**, **Tacton**, **Configit**, or an equivalent visual rules-based configurator. Strong JavaScript / TypeScript and React (or similar component framework). Comfortable in BigCommerce or a similar commerce platform — themes, APIs, cart integration. Working knowledge of 3D web (Three.js, model-viewer, or similar) — enough to debug a broken model render. Track record turning a complex product catalog into a usable configurator that real customers complete. Nice to have Direct experience with **BigCommerce Catalyst** (Next.js / React). Familiarity with Perfion or another PIM as the upstream source of attributes. Experience integrating configurators with ERP pricing (JDE / SAP) for real-time list price calculation. Comfort building lightweight AI features (LLM API calls, embeddings, intent classification). #LI-PG1