sparetech · Chicago, Illinois, United States
Hybrid Work Environment: We believe in the value of in-person collaboration. This role requires team members to work from our Chicago office two days per week, with the flexibility to work remotely on other days. Your Mission Sparetech helps industrial manufacturers get control of their spare parts. Our platform cleans, enriches and connects spare parts data so maintenance, procurement and engineering teams find the right part, avoid duplicate stock and keep plants running. Now we are building the next layer: AI agents that don't just organize parts data but act on it. Your mission is to prove these AI capabilities with a few of our largest US customers, then ship them for all. You will work in two places: on the plant floor with strategic manufacturing accounts, and in the core product with our engineers. You find a high-value problem, prototype an AI-powered solution on real customer data, own the outcome, and turn what worked into capabilities every customer benefits from. We offer you the opportunity to Work where the problems are: Run discovery on-site at customer plants and offices with maintenance, reliability, procurement and IT leaders, and agree on scope and success criteria before any code is written. Deliver live results, not slide decks: Lead focused engagements of 6 to 12 weeks that end in a workflow customers use every day. Build it yourself: Test ideas in days, not quarters, by creating working prototypes on real customer data with AI coding and prototyping tools. Turn field wins into platform capabilities: Shape reusable, configurable features that handle each customer's data, business rules, permissions and systems, such as SAP and IBM Maximo. Set the bar for AI quality: Define with Engineering how we measure and improve accuracy, latency, cost and failure handling in matching and enrichment. Design AI people can trust: Create agent experiences with the right level of autonomy, clear confirmations, transparent actions and clean handoffs to humans.…
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