Glance
Glance, founded in 2019, is a consumer technology company that builds an AI-driven commerce platform redefining how users shop through generative AI.
Company facts
- Employees
- 5,000
- Headquarters
- India
- Type
- Mid-Size
About
Glance, founded in 2019, is a consumer technology company that builds an AI-driven commerce platform redefining how users shop through generative AI. The platform blends predictive intelligence, neural visualization, and real-time orchestration to deliver a seamless, connected shopping experience across mobile, TV, and web apps. Its unique architecture enables predictive product recommendations and dynamic visual content that adapt to each device and user context. Backed by Google, Jio Platforms, and Mithril Capital, Glance operates as an independent subsidiary of InMobi, positioning it at the forefront of intelligent, cross-device commerce.
Manager - Strategy & operations
Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile…
Growth Lead (User Acquisition/ Performance / CRM) – Tokyo, Japan
Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile…
Senior Manager Applied Science - Recommendations
Leads AI-driven recommendation systems for an e-commerce platform, designing multimodal search and personalization models using Google's Vertex AI and TensorFlow.
Staff Applied Scientist - I
Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile…
SDE III - Data Engineering
Build and scale large-scale data pipelines and platforms for an AI-powered e-commerce discovery engine, using Spark, Kafka, Flink, and GCP to power personalization, recommendations, and ML systems.