Jobs at SwitchOn

About Us:
SwitchOn, a Bangalore-based Series A deep tech startup, is on a mission to eliminate
manufacturing defects through AI-powered vision inspection systems. Innovation through
technology is at the core of what we do, driving us to constantly push boundaries and develop
cutting-edge solutions.

• Deal generation using an insider sales approach for manufacturing companies in the designated region
• Pitch our product to the inbound leads and organize a meeting with A.E.s to understand the use case and nurture it to the next deal stage.

• Lead, mentor, and scale Application Development, Computer Vision, and QA teams.
• Architect interactive, AI-based applications on embedded hardware.

• Conduct Market Research about Manufacturing companies and customer segmentation based on our Ideal Customer Profile(ICP) in an allocated region.
• Creation of introductory pitch decks and email formats for different insider sales approaches, targeting manufacturing companies focused on Automotive and CPG Industries.

• Conduct Market Research about Manufacturing companies and customer segmentation based on our Ideal Customer Profile(ICP) in an allocated region.
• Creation of introductory pitch decks and email formats for different insider sales approaches, targeting manufacturing companies focused on Automotive and CPG Industries.

About Us
SwitchOn is a Bangalore-based deep-tech company on a mission to eliminate
manufacturing defects with AI-powered vision inspection systems. Our platform,
DeepInspect, is deployed on factory floors across India, Europe, and Southeast Asia,
serving industry leaders such as Unilever, P&G...

• End-to-End Project Management – Oversee the complete project lifecycle including initiation, planning, tracking, risk management, and ensuring timely completion within budget by collaborating with internal product teams and external system integrators.
• Stakeholder & Resource Coordination – Provide regular project status updates to stakeholde...

• Design, develop and deploy Computer Vision and Deep Learning algorithms for challenging scenarios in Intelligent Visual Quality Inspection.
• Develop and optimize deep learning models using convolutional neural networks, object detection frameworks, and segmentation techniques