Overview, San Francisco, California +1
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.
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.
What Makes You Stand Out (for either path)
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.
Location: California (field-first; hybrid when not onsite)
Travel: 60–80% (factory-heavy)
Type: Full-time
The key to winning isn't slick talk—it's becoming a product expert, running high-signal evaluations, and helping the customer move quickly.
Support model (you're not alone)
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.
Growth path
We're scaling fast (we tripled headcount last year and expect major growth again).
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).
$90K–$140K / yr
Posted Feb 25, 2026
Pay not posted
Posted Apr 27, 2026
$90K–$115K / yr
Posted Oct 7, 2026
Overview CorporationGreat Lakes Region +1
$90K–$115K / yr
Posted Oct 8, 2026
Pay not posted
Posted Sep 23, 2026
Pay not posted
Posted Oct 9, 2026
Source: the Y Combinator job board. We last checked this job 2 days ago. We first saw it 4 days ago. A job on a job board does not always mean that the team interviews people now.
This base pay is below the median for solutions engineering jobs that are remote in the US with no level in the job title.
We compare the middle of each posted range. This is base pay as posted. The group does not include this job.