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.

Business Development Representative (BDR)
Location: Remote (U.S.) Preferred location is Chicago
OTE: $70,000–$80,000
Reports to: Director of Business Development

About Overview.ai
Overview.ai builds next-generation computer vision systems for advanced manufacturing. Our AI-powered smart cameras detect defects faster and more accurately than any other solution in the market, helping leading electronics, aerospace, and life-sciences manufacturers improve yield and quality in real time.
Backed by top-tier investors, we’re scaling fast across North America and Europe. If you want to sell a product that actually changes how factories run, this is your opportunity to join a category-defining company early.

The Role
We’re looking for a driven, curious, and disciplined Business Development Representative (BDR) to help us grow our footprint in the manufacturing sector. You’ll be the first line of communication with future customers — identifying prospects, starting conversations, and creating qualified pipeline for our Account Executives.
This is not a smile-and-dial role. It’s about insight-driven selling: understanding complex manufacturing challenges, mapping them to our technology, and positioning Overview.ai as the partner that can solve them.

What You’ll Do

• Identify, research, and engage new manufacturing prospects using phone, email, and LinkedIn.

• Qualify inbound and outbound leads, and schedule discovery calls and demos for AEs.

• Partner with marketing to refine messaging and campaigns that resonate with engineers and operations leaders.

• Track all outreach and insights in HubSpot — precision and consistency matter here.

• Stay sharp on industry trends, emerging automation technologies, and competitor movements.

• Hit and exceed activity and pipeline goals — while contributing ideas to improve the process.

What We’re Looking For

• Top performer in prior sales or BDR roles, ideally in tech, SaaS, and manufacturing.

• Strong commercial instincts — you can identify pain points and connect them to value fast.

• Confident communicator across multiple channels and seniority levels.

• Grit, organization, and follow-through. You close loops, not leave threads.

• Deep curiosity about technology, manufacturing, and AI — you want to learn, fast.

• Experience with HubSpot, ZoomInfo, LinkedIn Sales Navigator, or Nooks is a plus.

• Bachelor’s degree or equivalent experience.

Why Overview.ai

• Unlimited PTO – we care about results, not hours.

• Comprehensive health benefits – medical, dental, and vision.

• Remote-first flexibility – work anywhere with a stable network.

• Direct access to leadership – collaborate with founders and senior execs.

• Career acceleration – be part of a team that scales fast and promotes from within.

We move fast, aim high, and celebrate measurable outcomes. If you’re competitive, analytical, and excited by cutting-edge tech — you’ll fit right in.
Join us. Help define the future of vision-driven manufacturing.

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...