
11 - 50 employees
Founded 2018
💼 Consulting
📦 Logistics
🔧 Hardware
💰 $10M Series A - Overview.ai on 2022-02
Consulting • Logistics • Hardware
Overview AI is an industrial AI machine vision company that builds edge computing camera systems and software for automated visual inspection in manufacturing. Their product line includes smart cameras (OV10i, OV20i) and high-resolution vision systems (OV80i) that run NVIDIA GPUs on-device to perform deep learning-based defect detection, classification, and segmentation. The company emphasizes rapid deployment, on-premise processing, low training-data requirements through transfer learning and augmentation, integration with industrial protocols (Ethernet/IP, Profinet, Modbus, OPC-UA), and tools for retraining, analytics, and automation. Customers include automotive, electronics, pharmaceutical, and aerospace manufacturers; their offerings reduce inspection costs, rework, and scrap and support compliance standards like ISO 9001, AS9100, and ITAR.
🔥 0 minutes ago
🌐 Colombia, Mexico, +3 more countries – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
💰 Business Development (BDR)
👻 Ghost score 25%
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11 - 50 employees
Founded 2018
💼 Consulting
📦 Logistics
🔧 Hardware
💰 $10M Series A - Overview.ai on 2022-02
Consulting • Logistics • Hardware
Overview AI is an industrial AI machine vision company that builds edge computing camera systems and software for automated visual inspection in manufacturing. Their product line includes smart cameras (OV10i, OV20i) and high-resolution vision systems (OV80i) that run NVIDIA GPUs on-device to perform deep learning-based defect detection, classification, and segmentation. The company emphasizes rapid deployment, on-premise processing, low training-data requirements through transfer learning and augmentation, integration with industrial protocols (Ethernet/IP, Profinet, Modbus, OPC-UA), and tools for retraining, analytics, and automation. Customers include automotive, electronics, pharmaceutical, and aerospace manufacturers; their offerings reduce inspection costs, rework, and scrap and support compliance standards like ISO 9001, AS9100, and ITAR.
• Build and work a list of U.S. manufacturing accounts across automotive suppliers, electronics, industrial OEMs, food and beverage, and other high-volume production environments • Identify Quality or Engineering decision-makers and conduct outreach tailored to relevant inspection problems • Lead discovery conversations to uncover blockers such as cost, downtime, or false positives • Qualify or disqualify opportunities early • Hand qualified opportunities to Vision Sales Engineers with clear, actionable context • Stay involved after handoff to learn what closes and what does not • Maintain consistent HubSpot data, activity logs, and notes • Test outreach messaging, track what resonates, and share learnings with the team
• Prior outbound sales experience as a BDR, SDR, inside sales representative, or equivalent • Strong phone skills and sound outbound instincts • Fluent, professional-level English, written and verbal • Based in LATAM • Ability to work U.S. business hours consistently, with Eastern or Central time overlap • Comfortable with ambiguity and able to figure things out without close supervision • High curiosity and genuine willingness to learn technical concepts • Able to ask good questions and think critically about whether an opportunity is real • Organized, reliable, and accountable for own pipeline • Manufacturing, SaaS, or technical sales background preferred • Experience selling into or supporting U.S. markets preferred • Familiarity with U.S. industrial business norms preferred • Working knowledge of HubSpot, LinkedIn Sales Navigator, or Nooks preferred • Basic understanding of production processes or quality control preferred • Preferred locations for time zone overlap: Mexico City, Guadalajara, Monterrey, Bogotá, Medellín, San José, Costa Rica, Panama City, or Buenos Aires
• Direct exposure to leadership • Promotion opportunities from within • Global exposure to advanced customers and factories • Opportunity to work with world-class engineers and operators across AI, embedded systems, and enterprise deployment • Opportunity to work on AI systems deployed on real production lines at scale
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