Overview is a company that takes the cutting edge in computer vision and deep learning and applies it to previously unsolvable manufacturing inspection problems. We are truly a full stack company. We install physical cameras into the facility, run inference on the edge and manage massive deployments. Overview also streams gigabytes of video/image data to the cloud for our web platform to give customers advanced insights and analytics.

We are looking for engineers who like to solve tough challenges across the stack. This might include wrangling 500mb images or deploying optimized models in one click that can handle 10 parts a second. We are looking for people who are dynamic, who are excited to work on a different challenge every week, whether it's the final inspection on a medical device or making sure a razor blade has a perfect edge.

Why I’m writing this

I’m hiring for a role that doesn’t fit neatly into a box—and that’s the point.

You will work directly with me. I’m the founder of Overview.ai and Head of Revenue, and I’ve helped take this company from $0 → $20M, and now we’re building the path from $20M → $100M+. This role is about learning how to do that—end to end—by being deeply embedded in the hardest, highest-leverage problems across the company.

If you’re thinking about being a founder one day, or you’ve already been one and want to build something truly generational, this role is written for you.

Overview.ai is solving a problem that every manufacturer in the world has. We combine hardware + software + AI in a way that is genuinely difficult to copy. We’re in hypergrowth (700% this year), and this is a foundational role as we enter our next phase.

This is high-pace, high-context, high-agency work. You won’t be handed a playbook—you’ll help write it.

What you’ll actually do

This role sits at the intersection of deep technical understanding, storytelling, and execution. You’ll move fluidly between engineering, sales, demos, customers, and strategy.

You will work directly with me to break into, sell into, and expand within high-growth large manufacturers. We already partner with companies like NVIDIA, Ford, Toyota, Tesla, and SpaceX—and we want to systematically win the next generation of category-defining manufacturers.

In this role, you will:

• Identify and prioritize high-growth large manufacturers and design account strategies to win them
• Break down how these organizations actually make decisions—economic buyers, technical gatekeepers, risk factors, and internal incentives
• Craft customer-specific technical and business narratives that resonate at the executive and plant level
• Become deeply expert in our AI smart cameras and inspection systems, owning the hardest demos and proof points
• Build compelling presentations, validation reports, case studies, and trade-show demos that establish immediate credibility
• Turn customer learnings into repeatable sales motion, product feedback, and internal enablement
• Drive technical training, AI fluency, and sales enablement as we scale

This role sits at the intersection of technical depth, customer trust, and revenue strategy—with direct exposure to how major industrial deals are actually won.

How I’d describe the person I’m looking for

I’m not looking for a checklist résumé—I’m looking for someone who compounds fast.

You likely:

• Have a technical background (EE, CS, or equivalent depth)
• Are comfortable going deep technically and communicating clearly
• Have worked in a cross-functional role (PM-type, engineer → sales-side, or similar)
• Learn quickly, take initiative, and fill in gaps without being asked
• Are AI-fluent and naturally agentic in how you work
• Thrive in ambiguity and high-ownership environments
• Want proximity to real decisions, real customers, and real outcomes

A strong academic background or top university experience helps—but what matters more is how you think and how fast you execute.

Why this role is special

• This is N=1. There is no prior version of this role.
• You’ll see how massive enterprise deals are actually won
• You’ll learn how to turn raw technical capability into revenue
• You’ll help shape the company during its hypergrowth inflection point
• I will personally invest time teaching you everything I know about building at this scale

If you want a safe, narrow role with fixed boundaries, this isn’t it.
If you want to help build a generational industrial AI company—and learn faster than almost anywhere else—let’s talk.

Overview's tech is far reaching. We deploy highly reliable camera hardware and GPU's into manufacturing and industrial settings. We have an IoT fleet management stack to update, secure, and manage our fleet of devices. We stream this data to our cloud or to a customers hybrid cloud where we have a user facing platform where customers can interact with their devices, deploy new deep learning models, and see advanced analytics.

We use Docker to deploy web infrastructure and deep learning models. We have an extensive deep learning stack using Tensorflow, PyTorch and packaged with Onnx. Our frontend is in React, which is updated in real time from our fleet using MQTT. And the list goes on...