Loading jobs…
Loading jobs…
Gitwit — Bentonville, Arkansas
Build the Adaptive Intelligence Behind Physical Operations Physical operations are where inventory moves, shifts change, timing matters, and small misses quietly become expensive problems. Stores. Warehouses.
Routes. Facilities. The places where execution actually happens.
What makes these environments hard to run well is not a lack of data or effort. It’s that what matters changes constantly, responsibility passes across people and shifts, and follow-through gets lost between what someone noticed and what someone else was supposed to do. Yask exists to close that gap.
We’re building an AI-powered operating system that turns what people observe in the field and what gets buried in business data into the right next action, in the right place, in the right hands, at the right time, and then verifies it got done. That requires more than prompts and dashboards. It requires an adaptive system that can learn from messy real-world signals, remember context, orchestrate decisions, and improve from feedback over time.
That's what you'll help build. The Initial Wedge We are starting in retail and distribution, where this problem is easy to see. Out-of-stocks alone are an $80B+ annual issue in the US.
But the bigger problem is that displays get missed, product doesn’t get rotated, follow-through dies in text threads, and store-level issues stay buried in fragmented communication until they become costly. We already have a live design partner operating across nine locations in Oklahoma, Arkansas, and Texas. We are not guessing where work breaks.
We can see it. You won’t be building in a lab. You’ll be building against real workflows, real users, and real operational pressure from day one.
Many AI product roles begin with abstract use cases, internal demos, or synthetic datasets. Yask starts with operating access. The retailers, brands, distributors, buyers, and merchandisers whose decisions impact more physical locations than anywhere else in the world, within 30 miles of Bentonville.
You will be right in the thick of it. This is not a role where you optimize prompts in isolation. This is a role where you: Watch how work actually happens See where execution breaks Design agentic systems, memory layers, and feedback loops that make that work easier Ship quickly, measure impact, and make the system sharper from real usage You'll join a product that has already proven itself in the field and help evolve it into a scalable, production-ready platform capable of serving many customers.
What You'll Actually Need to Do This is a founding, hands-on software engineering role. In practice, that means you'll: Build and enhance our existing React web application and React Native mobile application Write clean, maintainable TypeScript across frontend and backend systems Expand the platform architecture as we grow from early customer validation toward a scalable production product Design and implement agent workflows, memory systems, and retrieval pipelines that improve operational decision-making Build feedback loops that allow the product to improve from customer interactions and field data Ship production-grade APIs, backend services, CI/CD pipelines, observability, and security improvements Instrument telemetry so we can measure usage quality, task success, system performance, and customer outcomes Work closely with product, design, leadership, and customers to rapidly build, test, and iterate on new capabilities Document architectural decisions and help establish engineering practices that will support future team growth If this role is going well, the signs will be visible: The product will be live inside the design partner’s operation. The system will be getting smarter from usage.
The next customers will be easier to win because the proof is concrete.