What the role involves
About Overview.ai
Automation is a defining priority for manufacturers today. Automating quality inspection is one of the highest-impact ways this is happening—it directly affects yield, scrap rates, throughput, and whether production survives.
Vision systems have been around for decades, but traditional competitors don't do true AI well. Their systems are rigid, require extensive programming, and struggle with the complexity of modern manufacturing.
That's changing now. Overview's edge-enabled AI vision devices handle assembly verification, defect detection, and orientation checks with accuracy that wasn't possible before. They integrate into existing lines at production speed. Customers see results on day one: higher yield, lower scrap, fewer escapes, faster throughput.
But this technology is new. The old rules don't apply. We need incredibly talented people to figure out how AI vision scales across facilities and saves billions while reshaping how factories operate. Once it's trusted, it becomes foundational infrastructure.
We're trusted by companies like Ford, Honda, Toyota, SpaceX, and Milliken. Our systems are built for real factory conditions—deterministic, edge-first, and deployable at scale. The people who define how this gets done will shape the next decade of American manufacturing.
About the Role
We're building the foundation of our field team and need someone who can help manufacturers save millions in labor and quality costs by deploying AI vision systems that actually work in production. You'll get an inside look into the secret world of manufacturing—working directly with engineers at the world's largest manufacturers to realize the potential of AI cameras.
This is a field-first role based in the Atlanta/Southeast region (covering Georgia, South Carolina, and North Carolina). You'll spend 60-80% of your time on factory floors across the Southeast, finding projects where AI inspection can have real impact, running technical evaluations, and making sure deployments succeed in live production environments. You'll learn how to make AI cameras work well—and just as importantly, which projects are likely impossible.
This role sits at the intersection of technical depth, customer relationships, and commercial impact. You'll operate with high autonomy—no scripts, no hand-holding. You'll be trusted to ask the right questions, diagnose problems in messy conditions, make field judgment calls, and move projects forward even when information is incomplete. With support from Overview engineers, you'll become the technical expert customers rely on.
We can teach you manufacturing, machine vision, and our technology. What we need you to show up with is the ability to operate independently, build trust in high-stakes conversations, learn fast through hands-on exposure, and own outcomes without excuses. It's going to be hard work.
This role is for someone who
Has already proven they can operate at a high level in professional or demanding environments (2+ years)
Is curious, hard-working, and hungry to grow faster than they thought possible
Thrives in real-world conditions—factory floors, tight timelines, ambiguity, and pressure
Sees 60-80% travel as an opportunity to build expertise and customer relationships, not a burden
Wants to be exceptionally great at something that matters
If you've been the person others come to when things need to get done, if you learn by doing, and if you want ownership over real outcomes—this role is built for you.
Why This Role Is Exciting
You're entering manufacturing AI at the perfect moment
Guide customers through their first real AI wins with technology that delivers measurable results on day one—higher yield, lower scrap, fewer escapes. This isn't experimental; it's production-critical infrastructure customers depend on for real decisions.
Work with the world's best solving real problems
Deploy AI vision systems at Ford, Honda, Toyota, SpaceX, and Milliken. Your work directly impacts
About Overview
Here’s a secret between you and me: even the world’s largest manufacturers, companies like Tesla and Toyota, waste billions of dollars every year making products with quality issues. Building high-quality things at scale is incredibly hard. It doesn’t just happen because you hire smart people or buy good machines. It requires seeing problems early, understanding them deeply, and acting in real time, something factories were never designed to do. At Overview.ai, we’re changing that. We build custom hardware, edge AI, and software systems that give manufacturers real visibility into how their products are actually being made. Our technology helps catch defects earlier, reduce waste, and fundamentally improve how factories operate. This work matters, not just for our customers, but for keeping American manufacturing competitive in a world that’s moving faster every year.
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