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iManage

Verified Job Source

Making knowledge work (TM)

Chicago, Illinois

Software Development
1,001–5,000 people

About

iManage is the company dedicated to Making Knowledge Work. Its intelligent, cloud-enabled, secure knowledge work platform enables organizations to uncover and activate the knowledge that exists inside their business content and communications. Advanced Artificial Intelligence and powerful document and email management create connections across data, systems, and people while leveraging the context of organizational content to fuel deep insights, informed business decisions, and collaboration. Underpinned by best of breed security, sophisticated workflows and governance approaches, iManage has earned its place as the industry standard through continually innovating to solve the most complex professional challenges and enabling better business outcomes for over one million professionals across 65+ countries.

Open positions

Senior Site Reliability Engineer

On-site · Toronto

SRE is part of a global organization that leverages the latest technology to communicate with our colleagues across the globe. We organize ourselves into distributed teams -- SRE teams are anchored to iManage offices across the globe. Tuesdays and Fridays are dedicated to in-office collaboration, rapid innovation, and developing a sense of belonging at iManage. Mondays and Fridays are reserved for (remote-friendly) focus time to get things done. Have the best of both work styles in a workplace that is intentional about belonging, collaboration, and accomplishment. Being a Senior Site Reliabi…

Senior AI Engineer

Hybrid · Toronto

Own the end-to-end ML lifecycle for AI systems, focusing on generative AI document intelligence and agentic system use cases. Deploy and optimize AI models on GPU and Kubernetes-based cloud infrastructure to ensure scalability and performance.

Senior AI Engineer

Hybrid · Toronto

Own the end-to-end ML lifecycle for AI systems, focusing on generative AI document intelligence and agentic system use cases. Deploy and optimize scalable AI applications on GPU and Kubernetes-based cloud infrastructure.