Jobs at Overview

Own industrial machine vision applications from feasibility through production deployment. Design optics, lighting, cameras, and image acquisition systems; lead proof-of-concept testing; optimize inspection performance; troubleshoot production issues; and support AI vision workflows including data collection, labeling, training, and evaluation. Partner with customers, field teams, Product, and Engineering while evaluating hardware, guiding deployments, mentoring engineers, and improving inspection technology.

Design and deploy advanced machine vision inspection solutions for manufacturing customers in Taiwan. Own optical and lighting strategy, field experiments, customer deployments, training, documentation, and production stabilization. Solve challenging imaging problems involving reflective or transparent materials, motion, geometry, and spectral requirements. Support technical discovery, competitive positioning, and sales engagements against machine vision incumbents.

Build end-to-end web tools and GenAI applications for an edge-AI vision platform: React/TypeScript frontends, Python backends, LLM-powered assistants, synthetic data generation, agent-style workflows, and integrations with camera fleets and inference outputs.

Own territory pipeline, forecasting, revenue, technical discovery, hands-on demonstrations, proof-of-concept evaluations, closing, and account expansion for AI computer vision inspection systems. Deploy and troubleshoot automation or vision hardware in manufacturing environments, explain technical solutions to plant stakeholders, and travel 60–80% across the territory.

Own regional sales for AI computer-vision inspection systems, including pipeline, forecasting, technical discovery, hands-on demos, proof-of-concepts, closing, and account expansion. The role requires factory-floor experience deploying or debugging automation, vision, or industrial hardware, plus the ability to communicate with technical manufacturing stakeholders. Extensive customer travel and territory ownership are central responsibilities.

Own Northeast territory revenue for AI computer-vision inspection solutions. Conduct technical discovery, build hands-on demonstrations, manage production-line evaluations, close deals, and expand deployments across sites. The role requires factory-floor experience with automation, vision, or industrial hardware, strong technical communication, sales or deal ownership, and willingness to travel 60–80% across the territory.

Own territory revenue for AI computer vision solutions in manufacturing. Responsibilities include technical discovery, factory-floor demonstrations, production-line evaluations, POC execution, forecasting, closing, and expanding deployments across plants and inspection points. The role requires hands-on industrial hardware or automation experience, strong technical communication, and 60–80% travel across the assigned territory.

Hands-on machine vision applications engineer responsible for lab testing, camera and optical setup, proof-of-concept builds, technical reporting, technology evaluation, customer-site troubleshooting, and deployment support. The role also includes image collection, labeling, model training, model evaluation, camera calibration, hardware evaluation, and building internal test resources. Candidates need machine vision fundamentals, AI vision familiarity, troubleshooting ability, and comfort working with hardware, industrial automation, and manufacturing customers.

Deploy and commission AI vision-inspection systems on manufacturing lines. Configure camera inspection recipes, troubleshoot cameras and industrial networks, and integrate systems with PLCs, HMIs, and dashboards using Node-RED, I/O, EtherNet/IP, and Profinet. Support customers on-site through training, issue resolution, and deployment documentation while developing greater ownership through structured training and mentorship.

Deploy and commission AI vision-inspection systems at customer factories. Configure camera inspection recipes, troubleshoot cameras and industrial networks, and integrate systems with PLCs, HMIs, and dashboards using Node-RED, I/O, EtherNet/IP, and Profinet. Provide on-site customer support and documentation while developing independent deployment ownership through training and mentorship.

Lead the Internal Tools team and build a unified platform for deploying, updating, monitoring, and supporting thousands of AI cameras. Develop React and TypeScript interfaces, Python services, APIs, MCP servers, and GenAI applications. Own fleet-scale systems, offline deployments, reliability, and product direction while mentoring engineers. Spend approximately half the time traveling to customer factories in China for deployment, support, training, and integration troubleshooting.

Deploy and commission AI vision-inspection systems on customer production lines. Configure camera inspection recipes, troubleshoot cameras and industrial networks, and integrate systems with PLCs, HMIs, and dashboards using Node-RED, I/O, EtherNet/IP, and Profinet. Provide on-site customer support, training, issue resolution, and deployment documentation while developing independence through mentorship and training.

Leads multi-site AI inspection deployments from signed contract through production stability and customer handoff. Manages applications engineers and technicians, deployment schedules, customer stakeholders, scope, operational processes, performance metrics, and continuous improvement. Translates field challenges into product roadmap improvements while building repeatable deployment playbooks, training systems, dashboards, and quality standards.

Own technical sales and customer deployments for AI-powered industrial machine vision in Shenzhen. Design lighting and optical strategies for difficult inspections, conduct field experiments, deploy and stabilize production systems, train customer teams, document configurations, and support competitive solutioning against established machine vision vendors. The role requires deep hands-on optics and lighting expertise, factory independence, Mandarin fluency, and working English.

Leads applications engineers and technicians delivering AI inspection deployments across manufacturing sites. Owns scheduling, staffing, readiness, execution, stabilization, customer acceptance, team development, deployment processes, operational dashboards, and continuous improvement. Partners with engineering and product teams to translate field challenges into roadmap improvements. Requires strong technical deployment leadership, project management, stakeholder communication, and fluent Mandarin and English.

Own the mechanical integration of AI cameras, lenses, and lighting into industrial automation machines. Review CAD, guide machine builders, define mounting and serviceability standards, prevent vibration and alignment issues, and support commissioning at customer sites. Diagnose production problems, train customers and integrators, maintain deployed systems, and turn field learnings into repeatable deployment standards. The role requires strong mechanical systems integration experience, CAD proficiency, factory troubleshooting skills, Mandarin fluency, working English, and frequent travel.

Leads multilingual, multi-site factory deployments of AI inspection systems across Asia. Responsibilities include managing schedules, staffing, readiness, execution, stabilization, customer expectations, acceptance criteria, and handoffs. The manager will hire and coach applications engineers and technicians, build scalable deployment processes, track operational metrics, manage stakeholders, and translate field feedback into product improvements. Fluent Mandarin, strong English, manufacturing deployment leadership, frequent travel, and strong project management skills are required.

Owns Overview.ai’s revenue target and go-to-market strategy while building and leading the enterprise sales organization. Responsibilities include hiring and coaching Strategic AMs, AEs, BDRs, and sales engineers; managing forecasts, pipeline, pricing, deal desk, and compensation; expanding strategic manufacturing accounts; developing pilot-to-network sales playbooks; and partnering with founders and product leadership. The role requires executive selling across industrial and manufacturing environments, customer commitment oversight, and 30% travel to customer plants.

Lead marketing strategy for an AI computer vision company serving manufacturing. Own the marketing P&L, brand, category narrative, product marketing, events, partnerships, industry presence, and executive communications. Build and lead two marketing teams, develop positioning and sales enablement, create market channels, and represent the company with technical manufacturing and automation audiences. The role requires senior marketing leadership, industrial market expertise, technical fluency, startup experience, and strong category-building or evangelism capabilities.

Lead global teams delivering AI-powered computer vision deployments across manufacturing facilities. Own scheduling, staffing, readiness, execution, stabilization, customer acceptance, and operational handoff. Manage customer stakeholders, prevent scope creep, build scalable deployment processes, coach applications engineers and technicians, track deployment performance, and translate field feedback into product improvements. The role requires strong automation expertise, multilingual communication, and travel across China, Vietnam, and the United States.