Overview

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.

Title: Senior Embedded Systems Engineer Location: Taiwan (On-site / Hybrid) Team: Engineering Reports to: Engineering Manager About the company Overview.ai is transforming manufacturing quality control with advanced edge-enabled AI vision system that combines cutting-edge deep learning with ease of use and quick setup. Our system handles a wide array of inspection tasks—from subtle assembly verification to defect detection and orientation checks—delivering real-time, high-accuracy inspections that seamlessly integrate into existing production lines. Trusted by leading manufacturers like Ford, Honda, Toyota, SpaceX, Milliken, and Flex-N-Gate, our cameras enables faster throughput, reduced scrap, and lower inspection costs—without the complexity and expense of traditional vision systems. About the role We are seeking a Senior Embedded Systems Software Engineer with strong Embedded Linux experience to join our engineering team. You will design, build, and maintain the software that powers our NVIDIA Jetson–based edge AI cameras — including Python application code, system services, OTA update mechanisms, networking, and device reliability. This is a hands-on engineering role focused on Linux systems and product software running on resource-constrained devices. You will not be working on MCU firmware or low-level hardware bring-up. Instead, you’ll operate across the OS and application stack to ensure our camera systems are robust, secure, and easy to deploy at scale. If you enjoy building software for real hardware , solving complex debugging challenges, and owning features end-to-end, we would love to speak with you. What you’ll do Develop and maintain system-level and application-level software for reliability in the field for our edge AI devices Implement and own OTA for our deployed device fleet Write Python application code for device control, edge logic, monitoring, and data flows Work with C/C++ components for performance-critical functionality Debug Linux systems involving multiple services, containers, and custom applications Tune performance across the stack: kernel, services, containers, and user applications Use Docker containers for packaging and deploying edge software components Collaborate with hardware vendors to diagnose and resolve system-level issues Work with backend/API teams to maintain reliable device–server communication Mentor the team through code review, coaching, and general feedback What we’re looking for Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field 5-7+ years of experience in Linux-based embedded systems or systems software Solid C++ skills in a Linux environment and/or Python development experience Experience with SBC or Embedded Linux platforms Understanding of networking fundamentals (TCP/IP, routing, TLS/HTTPS, certificates) Experience debugging Linux applications and services (systemd, logs, containers) Experience with Docker containerization Strong problem-solving skills and independent ownership mindset Clear communication and collaboration skills Nice to have Experience implementing OTA systems or device-update workflows NodeRED, Flask, or REST API development Industrial automation background (PLC ladder logic, Structured Text) Industrial protocols: EtherNet/IP, Profinet, Modbus, RS232, RS485, CANbus Experience with OpenCV, GStreamer, or real-time video processing Experience with FTP/SFTP/SMB, NTP synchronization, or device-to-server messaging Experience with fleet management of edge devices Why join Build core systems that directly impact real-world manufacturing High ownership and autonomy Work closely with hardware, AI, and customer-facing teams Join a fast growing, fast moving and profitable startup

About Overview AI Overview AI is a VC-funded, YC-backed company building edge AI vision systems for manufacturing quality inspection. Our all-in-one, edge-enabled cameras are used by leading global manufacturers including Tesla, SpaceX, Amphenol, and others. We’ve seen rapid growth over the past two years and are now investing in highly talented generalist talent that can support GTM structure, clarity, and scale. This role is designed for someone who wants to operate at the intersection of strategy and execution, is a real doer, excels at bringing structure to chaos, and has a real ownership mindset. About the role We’re looking for a high-ownership GTM Operations Lead to work closely with sales leadership and founders to help scale our go-to-market motion, primarily in the US and Mexico. We are trying to triple or more revenue in this region and this role will work alongside regional leadership and the founders focused on strategic and operational elements to achieve this goal. This is a hands-on operator role. You’ll help decide strategy, where to focus/prioritize efforts, build the tools and collateral that enable sales, clean up and own our CRM and reporting, and support hiring and onboarding as the team grows. If you enjoy ambiguous problems, building from scratch, and working directly with leadership, this role is for you. What you’ll do GTM Strategy & Focus Help identify where to focus vs. deprioritize across markets, verticals, territories, and customer segments Translate leadership input into execution plans, metrics, and progress tracking Support decision-making with analysis, memos, and structured thinking Run cross-functional experiments, such as targeting a specific application, including working with marketing, outbound sales, and other teams to drive strong sales traction Sales Enablement & Collateral (Hands-On) Become deeply familiar with our AI cameras and use cases Personally create and iterate on: Support and potentially lead internal sales trainings Revenue Operations & Analytics Support and help lead our HubSpot revamp Own CRM architecture, hygiene, dashboards, and reporting Build reporting used for: Hiring & Org Design Support Help define roles and hiring plans for sales and GTM functions Support interviewing and onboarding Contribute to evolving GTM org structure as the company scales Customer & Partner Exposure Join customer calls, partner meetings, and internal GTM discussions Build firsthand understanding of how deals are won and lost Potential to expand and work on experimental sales channels What we’re looking for Experience in a startup or other high paced and ambiguous environment Proven ability to work cross-functionally Strong operational and execution mindset, strong bias to action Ability to design structure and process without over-bureaucratizing Willingness to travel to manufacturing sites in the US and potentially internationally for specific projects Technical background / degree / experience or willingness to dig deeper into camera technology Nice to have Experience in technical domains (engineering, hardware, AI, manufacturing, automation) Experience working and interfacing across multiple countries Exposure to building revenue operations infrastructure from scratch Why join High-impact role with direct founder partnership Opportunity to shape how the company scales globally Ownership over systems, team, and outcomes Work alongside world-class engineering and product leaders

Location: China / Taiwan / Hong Kong / (San Francisco with 75% travel to Asia) Must be fluent (native) in Mandarin and English Why I’m hiring this role Manufacturing at scale is chaotic. Growing fast makes it even harder. I’m looking for someone who can step into that chaos, bring order where it matters, and execute relentlessly. This role is for a technical leader who leads from the front. Someone who can manage people, yes, but more importantly can do the work, coach others by example, and raise the bar across the team. Process matters, but outcomes matter more. You will own the technical success of our largest American customers operating factories in China, representing tens of millions in re-occurring revenue. You’ll work directly with me, travel heavily, and play a central role in scaling Overview.ai across Asia. What you’ll do Own successful deployment of Overview.ai systems across Asia, from pilot to full production Lead and coach a team of 10+ application engineers across China Take ambiguous, fast-moving customer problems and turn them into executed solutions Be on factory floors regularly, working hands-on with customers and your team Train and coach engineers on fundamentals, not just checklists Set technical standards by doing, not delegating Partner closely with sales, product, and HQ engineering to win and expand large accounts Turn on-the-ground learnings into better deployments, better training, and better product What you need to be great at This is a hands-on technical leadership role, not a desk job. You should be comfortable teaching and coaching others on things like: Designing and validating jigs and fixtures Optics fundamentals, lenses, lighting, and where to source them Deep manufacturing line experience (automotive, electronics, precision manufacturing, etc.) Rapid prototyping and problem-solving under real production constraints Core computer vision fundamentals and inspection logic Debugging real-world systems on noisy, high-speed factory lines If you’ve been a manufacturing manager, applications lead, or technical owner in a fast-growing environment, that’s a strong plus. Who this role is for Native Mandarin + fluent English is non-negotiable Technically strong, but biased toward execution over theory High energy, high ownership, and comfortable with heavy travel A leader who earns trust by doing the hardest work themselves Someone who wants real responsibility, not a title Interested in learning directly from the founder while building something meaningful Why this role is special Direct exposure to how major industrial systems are sold, deployed, and scaled Massive growth opportunity as Overview.ai expands across Asia Real ownership over customers, revenue, and team outcomes A chance to help solve one of the hardest problems in manufacturing at global scale If you want a safe, slow-moving role, this isn’t it. If you want to build, lead, and execute at speed, let’s talk.

Job Description The ideal candidate will have a strong background in software engineering and will develop web interfaces, ensuring the responsiveness of applications. This position will requiring good organizational skills and attention to detail to build the best possible product for our users. As a full stack engineer, this position will also encompass backend python development. Be responsible for building, deploying, testing, and maintaining clean user interfaces for our product which manages the full AI data cycle, including capture, labelling, AI training, and operator interfaces Work closely with our AI teams to prototype, test, and ship user-facing features, balancing user experience with product & engineering constraints Work with technologies like: Typescript, React/Redux for web front end, Python for backend systems, Github, & Docker Execute feature changes based on user feedback, recommend and execute improvements Requirements Over four years of professional experience in full-stack software development. Proven track record in designing, developing, and maintaining complex full-stack applications. Experience or strong familiarity with the company’s technology stack, including React, TypeScript, Redux, Python, PostgreSQL, and Ant Design. Advanced proficiency in front-end development with React and CSS, as well as expertise in Python, database technologies, and Docker containerization. Experience developing software for resource-constrained environments such as Raspberry Pi is highly desirable. Prior exposure to WebAssembly and sandboxed environments is considered an asset. Experience working with low-level hardware such as Linux single-board computers (SBCs) or GPUs is advantageous. Previous experience in a startup environment is a plus. Strong proficiency in English, both written and verbal, to effectively collaborate in a cross-functional, international team.

About Overview Overview is an AI-powered camera company transforming manufacturing quality and automation. We are a leader in AI for industrial applications, building category-leading AI vision systems trusted by over 150 factories worldwide . Our flagship products, OV20i and OV80i, combine NVIDIA GPU-powered hardware with best-in-class AI models to deliver defect detection that outperforms industry incumbents. We are seeking a Software Engineering Manager to lead and grow our engineering team, while coordinating closely with teams in Brazil and the US. You will oversee execution of the technical roadmap for current and future products, manage and develop a team of remote and hybrid engineers, and work seamlessly across time zones to deliver world-class industrial AI products. This is a hands-on leadership role with high visibility and significant impact on Responsibilities Roadmap Execution: Work with leadership to prioritize and manage the technical feature roadmap for both current and next-generation AI vision products. Team Leadership: Lead, motivate, develop, and manage a team of remote and hybrid engineers, including cross-site collaboration with Brazil and remote-based teams. Release & Process Management: Set up and maintain release structures, manage sprints, and track performance to ensure predictable, high-quality deliveries. Requirements & Communication: Define requirements, set context and priorities, and report progress to leadership and the engineering organization. Cross-Time-Zone Collaboration: Work seamlessly across multiple time zones (Brazil, Taiwan, US West Coast). Travel: Periodically travel to support team members and/or work with customers. Culture & Performance: Align very bright, high-performing individuals in a fast-paced startup environment, fostering a culture of excellence and ownership. Why Join Overview Lead a key global engineering hub in Taiwan, working directly with teams across APAC, LATAM, and the US. Shape products that are transforming manufacturing quality worldwide. Competitive compensation, equity, and benefits in a fast-growing AI company. Requirements Qualifications Required: 3+ years of experience managing a team of software or firmware engineers at a high growth company. 7+ years of work experience in a software company. Track record of delivering production software products, ideally in embedded systems, computer vision, or industrial automation. Experience in setting up release structures, managing sprints, and measuring engineering performance. 2+ years of experience in defining requirements, setting priorities, and reporting progress for leadership and teams. Self-starter comfortable working across remote teams, managing ambiguity, and making decisions with incomplete information. Strong English communication skills, both written and verbal. Preferred (Pluses): Experience creating processes in a startup or rapid-growth setting. Experience working in China and Mandarin proficiency.

Job Description We are looking for a staff level embedded systems software engineer with full stack proficiency who will own the long term stability of legacy products and help the US region with software feature requests and product needs. This is not a people management or product management role, it’s a deep technical ownership role, with product-level context and autonomy. This position is for the software engineering owner of the OV20i product and US regions link to the core engineering team. The product needs periodic bug-fixes, occasional stability upgrades, and rare additional features for existing or potential customers. Given the nature of the embedded product, the candidate must be able to independently, add features, fix problems, support the needs of the complex product. Some front end support will be available, but the testing and integration of new front end features will fall to this position. Overview is a 40 person startup with a global footprint. Our largest concentration of customers are in East Asia and the United States. Our software engineering team is largely in Taiwan (English is the primary language for the team). Our product development and tightest customer relationships are also in Asia. The customers in the US are disconnected from the engineering development despite a large customer base and sales team in the area. In particular we have one product that is sold extensively in the US, but not widely in Asia.  The candidate will report into the software team lead in Taipei, and 2-3 trips per year to Asia may be required. The role is remote, but the candidate will ideally be in the eastern half of the US and will be able to travel to customer sites in the midwest and southeast from time to time. Chicago or Atlanta are ideal locations This position is for a senior "glue engineer" — someone who blends embedded depth with field pragmatism and cross-cultural collaboration. This is a mission-critical hire for OV20i’s stability and Overview’s expansion. Some Responsibilities: Develop, and maintain embedded software for devices based on the NVIDIA Jetson platform Interface with camera software to capture, process, and analyze video streams in real-time Develop Python application code for system functionalities, including data processing and device control Implementing backwards compatible upgrade for our fleet of deployed cameras Identify and tune bottlenecks in the software stack, from the low-level kernel to the application Stay up-to-date with the latest technologies and best practices in embedded systems development and apply them to our projects. Interface directly with hardware vendors to identify root cause issues and resolutions. Debug rare corner case bugs and implement fixes. Execute feature changes based on user feedback, recommend and execute improvements Requirements Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. 5+ years of experience in embedded systems development, preferably on Linux-based platforms. Proficient in programming with Python and familiar with Docker, JavaScript, C/C++. Demonstrated experience with the NVIDIA Jetson platform or similar embedded computing modules. Experience with software deployment strategies and tools for embedded systems. Deep knowledge of network protocols, device communication, and IoT technologies. Excellent problem-solving skills, with the ability to work independently as well as part of a team. Strong communication and collaboration skills, with a commitment to achieving project goals. Familiarity with PLC usage and protocols and hardware debugging are a bonus

Title: Staff Embedded Systems Engineer Location: Taiwan (On-site / Hybrid) Team: Engineering Reports to: Engineering Manager About the company Overview.ai is transforming manufacturing quality control with advanced edge-enabled AI vision system that combines cutting-edge deep learning with ease of use and quick setup. Our system handles a wide array of inspection tasks—from subtle assembly verification to defect detection and orientation checks—delivering real-time, high-accuracy inspections that seamlessly integrate into existing production lines. Trusted by leading manufacturers like Ford, Honda, Toyota, SpaceX, Milliken, and Flex-N-Gate, our cameras enables faster throughput, reduced scrap, and lower inspection costs—without the complexity and expense of traditional vision systems. About the role We are seeking a Staff Embedded Systems Software Engineer with strong Embedded Linux experience to join our engineering team. You will design, build, and maintain the software that powers our NVIDIA Jetson–based edge AI cameras — including Python application code, system services, OTA update mechanisms, networking, and device reliability. This is a hands-on engineering role focused on Linux systems and product software running on resource-constrained devices. You will not be working on MCU firmware or low-level hardware bring-up. Instead, you’ll operate across the OS and application stack to ensure our camera systems are robust, secure, and easy to deploy at scale. If you enjoy building software for real hardware , solving complex debugging challenges, and owning features end-to-end, we would love to speak with you. What you’ll do Develop and maintain system-level and application-level software for reliability in the field for our edge AI devices Implement and own OTA for our deployed device fleet Write Python application code for device control, edge logic, monitoring, and data flows Work with C/C++ components for performance-critical functionality Debug Linux systems involving multiple services, containers, and custom applications Tune performance across the stack: kernel, services, containers, and user applications Use Docker containers for packaging and deploying edge software components Collaborate with hardware vendors to diagnose and resolve system-level issues Work with backend/API teams to maintain reliable device–server communication Mentor the team through code review, coaching, and general feedback What we’re looking for Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field 8-10+ years of experience in Linux-based embedded systems or systems software Solid C++ skills in a Linux environment and/or Python development experience Experience with SBC or Embedded Linux platforms Understanding of networking fundamentals (TCP/IP, routing, TLS/HTTPS, certificates) Experience debugging Linux applications and services (systemd, logs, containers) Experience with Docker containerization Strong problem-solving skills and independent ownership mindset Clear communication and collaboration skills Nice to have Experience implementing OTA systems or device-update workflows NodeRED, Flask, or REST API development Industrial automation background (PLC ladder logic, Structured Text) Industrial protocols: EtherNet/IP, Profinet, Modbus, RS232, RS485, CANbus Experience with OpenCV, GStreamer, or real-time video processing Experience with FTP/SFTP/SMB, NTP synchronization, or device-to-server messaging Experience with fleet management of edge devices Why join Build core systems that directly impact real-world manufacturing High ownership and autonomy Work closely with hardware, AI, and customer-facing teams Join a fast growing, fast moving and profitable startup

We are seeking a Systems Software Engineer with strong Embedded Linux experience to join our engineering team. You will design, build, and maintain the software that powers our NVIDIA Jetson–based edge AI cameras — including Python application code, system services, OTA update mechanisms, networking, and device reliability. This is a hands-on engineering role focused on Linux systems and product software running on resource-constrained devices. You will not be working on MCU firmware or low-level hardware bring-up. Instead, you’ll operate across the OS and application stack to ensure our camera systems are robust, secure, and easy to deploy at scale. If you enjoy building software for real hardware , solving complex debugging challenges, and owning features end-to-end, we would love to speak with you! What You Will Work On Develop and maintain system-level and application-level software for NVIDIA Jetson devices Implement and own OTA for our deployed device fleet Write Python application code for device control, edge logic, monitoring, and data flows Work with C/C++ components for performance-critical functionality Integrate camera/video pipelines to capture, process, and analyze real-time video streams Debug Linux systems involving multiple services, containers, and custom applications Tune performance across the stack: kernel, services, containers, and user applications Use Docker containers for packaging and deploying edge software components Collaborate with hardware vendors to diagnose and resolve system-level issues Work with backend/API teams to maintain reliable device–server communication Qualifications Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field 5+ years of experience in Linux-based embedded systems or systems software 3+ years of Python development experience Solid C++ skills in a Linux environment Experience with SBC or Embedded Linux platforms Understanding of networking fundamentals (TCP/IP, routing, TLS/HTTPS, certificates) Experience debugging Linux applications and services (systemd, logs, containers) Strong problem-solving skills and an independent ownership mindset Clear communication and collaboration skills Nice to Have Experience implementing OTA systems or device-update workflows Experience with Docker containerization NodeRED, Flask, or REST API development Industrial automation background (PLC ladder logic, Structured Text) Industrial protocols: EtherNet/IP, Profinet, Modbus, RS232, RS485, CANbus Experience with OpenCV, GStreamer, or real-time video processing Experience with FTP/SFTP/SMB, NTP synchronization, or device-to-server messaging Experience with fleet management of edge devices

The Opportunity We're building computer vision software for manufacturing quality control. Our customers are plant directors and quality engineers at manufacturers: They care about reducing defects and shipping faster. Our product proves it works. What we need now is someone who can credibly explain why we're different, earn trust with a technical buyer, and drive a qualified pipeline. That's this role. What You'll Own: Technical Demos & "Patient Zero" Testing: You are the bridge between engineering and the customer. You will be the first person to test new features in our GTM motions. You will scope, build, and deploy interactive, high-fidelity demos for key industry events, sales pitches, and webinars. Technical Content & Architecture: Write the assets that engineers actually want to read. You'll produce technical deep-dives, API documentation, architectural diagrams, and data-backed case studies. Your job is to translate "our ML model is accurate" into concrete outcomes like "we reduced scrap by 3.2%," partnering directly with our deployments team to pull and analyze real customer telemetry. Growth Engineering & Experiments: Treat our GTM strategy like an engineering problem. You'll design, execute, and measure disciplined experiments across the funnel. This means building internal micro-tools, leveraging APIs for lead enrichment, running A/B tests with strict statistical significance, and writing scripts to automate pipeline generation. If a growth hypothesis fails, you kill it, document the null result, and ship the next iteration. Technical Evangelism & Industry Presence: Be the technical face of our product. Instead of traditional PR, you'll build credibility by speaking at industry events, hosting technical webinars, and engaging directly with communities where our buyers live. You will build the physical and digital demo experiences that make our booth the most crowded at trade shows. GTM Data Infrastructure: Build the systems that let us scale without chaos. You'll own the technical setup of our marketing stack, instrumenting event tracking (e.g., Segment, Mixpanel, HubSpot), building attribution models, and ensuring our GTM data pipeline is clean, accurate, and actionable. Partner Engineering & Competitive Intelligence: Co-create reference architectures and technical integration guides with our hardware partners. You'll tear down competitor products, understand their technical limitations, and build battlecards that arm our sales team with unassailable technical differentiation. You're a Strong Fit If You Have Engineering Background: A degree in Computer Science, Engineering, or equivalent hands-on technical depth. You can read API docs, understand system architecture, and write code (Python, SQL, or similar) to solve growth problems. Technical GTM Experience: 3+ years in Sales Engineering, Developer Advocacy, Technical Product Marketing, or Growth Engineering for a B2B product. A Builder's Portfolio: A track record of things you've built and shipped—whether that's a complex product demo, an open-source contribution, a growth tool you coded, or a deep-dive technical whitepaper (no promotional fluff). Data & Experimentation Chops: You are highly comfortable with data, A/B testing, statistical significance, and instrumenting analytics pipelines. You know what a null result is, and you let the data drive your decisions. A Bias Toward Shipping: You prefer rapid iteration over perfection. You ship four high-impact experiments this quarter, not one perfect campaign. Nice to Have: Familiarity with computer vision, machine learning models, or edge computing deployments. Direct experience selling or marketing industrial, manufacturing, or hardware products to technical buyers. Experience scaling a technical startup's GTM engine from $10M to $100M+ Revenue We're not looking for someone who: Treats marketing copy as a creative exercise instead of a sales tool Prefers perfection over iteration Works best with a big agenc

About Overview.ai Automation is a defining priority for manufacturers today. Automating quality inspection is one of the highest-impact ways this is happening—it directly affects yield, scrap rates, throughput, and whether production survives. Vision systems have been around for decades, but traditional competitors don't do true AI well. Their systems are rigid, require extensive programming, and struggle with the complexity of modern manufacturing. That's changing now. Overview's edge-enabled AI vision devices handle assembly verification, defect detection, and orientation checks with accuracy that wasn't possible before. They integrate into existing lines at production speed. Customers see results on day one: higher yield, lower scrap, fewer escapes, faster throughput. But this technology is new. The old rules don't apply. We need incredibly talented people to figure out how AI vision scales across facilities and saves billions while reshaping how factories operate. Once it's trusted, it becomes foundational infrastructure. We're trusted by companies like Ford, Honda, Toyota, SpaceX, and Milliken. Our systems are built for real factory conditions—deterministic, edge-first, and deployable at scale. The people who define how this gets done will shape the next decade of American manufacturing. About the Role We're building the foundation of our field team and need someone who can help manufacturers save millions in labor and quality costs by deploying AI vision systems that actually work in production. You'll get an inside look into the secret world of manufacturing—working directly with engineers at the world's largest manufacturers to realize the potential of AI cameras. This is a field-first role based in the Atlanta/Southeast region (covering Georgia, South Carolina, and North Carolina). You'll spend 60-80% of your time on factory floors across the Southeast, finding projects where AI inspection can have real impact, running technical evaluations, and making sure deployments succeed in live production environments. You'll learn how to make AI cameras work well—and just as importantly, which projects are likely impossible. This role sits at the intersection of technical depth, customer relationships, and commercial impact. You'll operate with high autonomy—no scripts, no hand-holding. You'll be trusted to ask the right questions, diagnose problems in messy conditions, make field judgment calls, and move projects forward even when information is incomplete. With support from Overview engineers, you'll become the technical expert customers rely on. We can teach you manufacturing, machine vision, and our technology. What we need you to show up with is the ability to operate independently, build trust in high-stakes conversations, learn fast through hands-on exposure, and own outcomes without excuses. It's going to be hard work. This role is for someone who: Has already proven they can operate at a high level in professional or demanding environments (2+ years) Is curious, hard-working, and hungry to grow faster than they thought possible Thrives in real-world conditions—factory floors, tight timelines, ambiguity, and pressure Sees 60-80% travel as an opportunity to build expertise and customer relationships, not a burden Wants to be exceptionally great at something that matters If you've been the person others come to when things need to get done, if you learn by doing, and if you want ownership over real outcomes—this role is built for you. Why This Role Is Exciting You're entering manufacturing AI at the perfect moment Guide customers through their first real AI wins with technology that delivers measurable results on day one—higher yield, lower scrap, fewer escapes. This isn't experimental; it's production-critical infrastructure customers depend on for real decisions. Work with the world's best solving real problems Deploy AI vision systems at Ford, Honda, Toyota, SpaceX, and Milliken. Your work directly impacts

About the Role We are looking for a field-based Vision Solutions Engineer in Monterrey, Mexico, to support customers throughout the full lifecycle of our vision systems — from pre-sales technical conversations to onsite deployments, troubleshooting, and long-term relationship building. This role involves spending the majority of time onsite with customers, with a travel pattern that is mostly regional and allows for regular return home. This is a highly customer-facing, hands-on role that sits at the intersection of <u>engineering, applications, and sales</u>. You will spend significant time onsite at manufacturing facilities , working directly with operators, engineers, and decision-makers to understand real-world problems and translate them into effective solutions. This role is ideal for professionals who are comfortable in manufacturing environments and on the plant floor, can learn systems quickly through hands-on exposure, and are ready to take ownership in a fast-paced, field-based role. <u>If you're driven by field readiness, focused on building customer trust, and ready to turn your technical knowledge into real-world impact, </u> <u>then this is the right fit for you.</u> Responsibilities Act as a trusted technical partner for customers in manufacturing environments Support the sales process end-to-end , including technical discovery, demos, onsite evaluations, and application support Spend significant time onsite at customer plants , building long-term relationships through presence, consistency, and follow-up Troubleshoot vision systems and related hardware/software in real production environments Integrating our systems with several components in customer site Communicate effectively with a wide range of stakeholders — from operators to engineers to leadership Translate customer pain points into clear technical and commercial solutions Support installations, answer application questions, and help customers feel confident using the product Drive business growth by selling high-volume solutions (think 20+ cameras instead of just 1-2!). <u>Travel 60-80% of the time to meet clients</u> , ensuring a high level of satisfaction, continued engagement, and successful implementations. Who you are Engineering studies background (BS in Mechatronics, Mechanical, Electrical, Industrial, Chemical, or similar) At least 2 years of experience in or strong exposure to manufacturing or industrial environments At least 1 year of customer-facing experience, both internal or external, or in field-based settings Strong troubleshooting mindset Ability to work through ambiguity and fast-paced environments Ability to communicate technical concepts clearly to both technical and non-technical audiences Willingness and enthusiasm for frequent travel Self-directed, autonomous, and comfortable working remotely Interest in supporting commercial outcomes, not just technical execution <u>Must reside within ~1hr</u> of Monterrey or be willing to <u>relocate there.</u> Nice to Have Prior experience in: Exposure to: Experience building or owning long-term customer relationships Business exposure or experience working closely with sales teams What Success Looks Like Customers trust you and see you as a reliable technical partner You are comfortable navigating ambiguity and fast-paced environments You follow up proactively and stay engaged with customers after visits You continuously improve your understanding of the system through repetition and real-world exposure You help move opportunities forward by supporting both the technical and relational sides of the sales process What’s in it for you? High ownership and autonomy Real impact on customers and product adoption Direct exposure to manufacturing environments Opportunity to grow either: About <u>Overview.ai</u> is transforming manufacturing quality control with the OV20i and OV80i , an advanced AI vision system that combin

Vision Sales Engineer Location: California (field-first; hybrid when not onsite) Territory: California (based in San Francisco) Travel: 60–80% (factory-heavy) Type: Full-time About Overview.ai 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). The opportunity (why this role is different) 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: Turn warm introductions into live factory projects fast Convert first-station wins into repeatable rollouts across lines and sites Drive urgency and close expansions that don't "drift to next quarter" Unblock real-world constraints (technical, operational, organizational) that slow velocity 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. What you'll own 1) Territory revenue ownership (California) Own pipeline, forecasting, and revenue outcomes for California Start with hunting - win new inspection points and new lines - then build into expansion as your accounts grow Turn customer success into aggressive expansion across factories, lines, and inspection points You'll be dropped into meaningful accounts early so you can hit the ground running - top logos, real budgets, real urgency 2) Technical, consultative selling (vision + automation) Run high-signal discovery with Quality, Process, Automation, and Ops Understand how customers currently solve inspection, where incumbents fail, and how to win Position Overview clearly vs incumbents using real deltas: accuracy, deployability, operator usability, and platform capabilities Partner with applications + engineering to propose practical deployment plans that win 3) Create urgency and remove friction Drive timelines: next steps, milestones, line access, data collection, acceptance criteria, decision makers Identify blockers early (process readiness, resourcing, line access, mechanical stability, integration constraints) and push them to resolution Own executive updates and communication cadence to keep deals moving 4) Operate like a closer Build relationships that hold: plant champions → regional leaders → global decision makers Negotiate and close with speed and precision Be relentless about follow-up and execution—no "maybe next quarter" drift If you own a major account, you get credit and commission for all sites in your territory—regardless of how much help we bring in Why we win (and why selling Overview is different) Industry-leading AI models → higher accuracy on real-world variation Edge-first + production-ready → deterministic performance in factories A feature set competitors don't have → you can win on clear deltas (the easiest kind of selling) Agentic workflows → deploying cameras is easier than ever, which shortens cycles and accelerates expansions This is "delta selling" with a product customers genuinely want. 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