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.

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 (Engineering, EE, CS, ME, or equivalent depth)
• Are comfortable going deep technically and communicating clearly
• Have worked in a cross-functional role (PM-type, consulting, 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.

We build edge AI inspection systems that run directly on GPU-enabled industrial cameras and deploy on real manufacturing lines. The hard problems are end-to-end and production-grade: designing low-latency inference pipelines, deterministic triggering and buffering, on-device data capture for fast debugging, safe/atomic updates, and fleet-scale rollout across many sites. Our team spans web developers (building local configuration and monitoring UIs that run on the camera), AI/ML engineers, embedded + firmware engineers, and AI infrastructure engineers who own training pipelines, data/versioning, deployment tooling, and reliability.