Top Tech Jobs & Startup Jobs

Own imaging feasibility for manufacturing inspection applications in an San Francisco lab. Select and configure cameras, lenses, lighting, filters, and geometry; run trials and proof-of-concept tests; troubleshoot image-quality issues; evaluate hardware; document findings; and communicate technical trade-offs to sales, applications, customers, and internal teams.

Lead the core platform engineering team responsible for frontend and backend software supporting industrial AI inspections. Own the technical roadmap, release processes, testing gates, reliability, performance, customer feedback loop, hiring, and team development. Collaborate with product, embedded engineering, and AI/ML teams to deliver robust software for mission-critical manufacturing environments.

Lead global HR operations and compliance across North America, APAC, and Europe. Own China HR, build scalable onboarding, offboarding, payroll, leave, contracts, performance, policy, and audit processes, and manage EOR, payroll, benefits, and employment counsel partners. Support managers on employee relations and policy matters, guide international expansion, and lead a small China and Taiwan team. The role requires 15%–40% travel depending on location.

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.

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.

The Applications Engineer installs and integrates AI vision systems on production lines, troubleshoots issues, and provides customer support in manufacturing environments.