Jobs at SwitchOn

• 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.

• Learn the full hardware-to-dashboard stack and map where failures originate — camera drops, network flakiness, model drift, UI regressions, config errors.
• Build and own the test automation framework from the ground up: UI (dashboard), API (backend services), and integration tests across the edge-to-cloud pipeline.

• 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

• 5–8 years in B2B marketing, including at least 3 in demand generation or growth where you personally owned a pipeline or lead number.
• A demand engine you built: you should be able to walk us through the funnel you owned, its assumptions, and what you changed when it missed.

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 solu...

• 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.

• 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