
Reshaping industrial quality with AI, hardware, and software
Location: California (field-first; hybrid when not onsite)
Territory: California (based in San Francisco)
Travel: 60–80% (factory-heavy)
Type: Full-time
Overview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We're one of the fastest-growing industrial AI companies in the world. We grew ~700% last year, tripled headcount, and expect to double or triple again as demand keeps accelerating —because the product works in production: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
This is not a cold-start, 0→1 sales role. We already have major customers, executive buy-in, and proven deployments running in real factories today. Your job is to take that momentum and multiply it across California:
You'll be selling at the exact moment manufacturing leadership is demanding AI outcomes. This is one of the easiest and most tangible ways for a factory to "enter AI" because it directly improves yield, scrap, throughput, and labor.
The key to winning isn't slick talk—it's becoming a product expert, running high-signal evaluations, and helping the customer move quickly.
This is a high-ownership role, but it is not hero mode. You'll have a dedicated applications and engineering escalation path. We do not run hero mode as a strategy.
We also have a proven evaluation playbook and a defined path from first station to expansion—so you're not inventing the process from scratch.
You just finished — or recently graduated from — a rigorous engineering or CS program and you're hungry to do something that matters in the real world, not just push pixels on a dashboard. You studied mechatronics, computer science, electrical engineering, robotics, or something similarly technical and you genuinely love how things are built. You're comfortable in a factory as much as in a conference room. You've done internships, research projects, or coursework that put you close to real hardware, real systems, or real AI — and you have something to show for it.
You don't need a quota history. What you need is: intellectual horsepower, the confidence to hold a room with engineers and plant managers, and the drive to own outcomes rather than wait to be told what to do. If you've always been the person in the group who figures it out — this is your role.
You have one to three years in a technical role — controls, automation, robotics, computer vision, or manufacturing engineering — and you've realized you're at your best when you're in front of people, solving problems live, not sitting behind a desk writing specs. You're social, likeable, and energized by the challenge of translating complex technical concepts into clear business outcomes. You want more ownership, more upside, and a faster trajectory than a traditional engineering career path offers.
This product sells itself when the evaluation is run correctly. Your technical credibility is your unfair advantage on the factory floor — pair that with sharp communication and real drive, and you'll thrive here.
A degree from a top-tier engineering or technical university. Deep comfort with AI, computer vision, robotics, or industrial automation — whether from coursework, internships, or hands-on projects. Based in or genuinely rooted in the Bay Area, with the energy and social instincts to build relationships across one of the world's most dynamic industrial and tech ecosystems. Someone who reads fast, learns fast, and moves fast.
We're scaling fast (we tripled headcount last year and expect major growth again).
This role has a clear path to:
Field-first, high-travel (60–80%) role owning revenue and deployments across California. Strong mix of technical depth + execution + customer-facing ability.
Prioritize:
Strong profiles:
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Success signals:
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.