Jobs at Overview

Create and publish video content for an AI computer vision product launch. Responsibilities include operating AI cameras, building inspection applications, filming and editing daily videos, creating AI-generated short-form clips, managing a social or community channel, launching Discord, tracking engagement and leads, and identifying content for paid promotion. The role is onsite in San Francisco with limited remote editing and may lead to full-time employment.

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.

Design and deploy advanced machine-vision imaging solutions for manufacturing inspections. Own lighting, optics, lenses, filters, spectral methods, and image-quality troubleshooting for challenging parts and production environments. Lead customer deployments, field experiments, training, documentation, stabilization, and project delivery. Support pre-sales solutioning by applying expertise in machine-vision competitors and optical strategies. The role requires Mandarin fluency, working English, strong communication, and independent factory execution.

Own end-to-end recruiting for Overview AI’s China operation, including sourcing, assessing, and closing senior and technical talent. Build regional recruiting playbooks, calibration standards, talent maps, and scalable processes. Advise hiring managers on role definition, candidate evaluation, and market strategy while delivering a high-quality candidate experience. The role also develops manufacturing talent networks, partners with global recruiting leadership, and mentors future recruiting team members in a Shanghai-based hybrid environment.

Install and validate AI vision hardware on live manufacturing lines, integrate systems with PLCs, troubleshoot electrical and communication issues, tune production performance, train plant personnel, document configurations, and support deployments through ramp-up. Serve as the on-site technical contact while providing product feedback to engineering.

Identify U.S. manufacturing accounts, map quality and engineering decision-makers, conduct discovery, and qualify or disqualify inspection opportunities. Tailor outbound messaging, uncover operational pain points such as downtime and false positives, maintain accurate HubSpot records, and provide actionable handoffs to Vision Sales Engineers. Work U.S. business hours from LATAM while iterating on outreach and learning technical manufacturing concepts.

Lead multi-site AI inspection deployments from signed contract through stable production. Manage applications engineers and technicians, customer stakeholders, staffing, scheduling, commissioning, acceptance, and handoff. Build repeatable deployment processes, training frameworks, dashboards, and continuous-improvement systems. Translate field issues into product and engineering improvements while tracking deployment performance and driving predictable customer expansion.

Lead a team to manage technical deployments in manufacturing, ensuring stable installations and high customer satisfaction. Responsibilities include project management, team leadership, and building operational infrastructures for scaling deployments.