Genesys

Toronto, Ontario, CAN
6,774 Total Employees
Year Founded: 1990

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Jobs at Genesys
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Recently posted jobs

14 Hours AgoSaved
In-Office
2 Locations
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
The IT Services Specialist provides tier 2 technical support, manages ServiceDesk incidents, and maintains desktop environments and IT inventory, ensuring superior customer service.
3 Days AgoSaved
In-Office
2 Locations
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
The Business Development Representative drives pipeline growth through inbound and outbound efforts, qualifying leads and collaborating with Account Executives to create new opportunities.
13 Days AgoSaved
In-Office
2 Locations
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
The UX Design Manager will lead a team of designers in creating user-centered design solutions, oversee projects, and define UX strategies while collaborating with cross-functional teams.
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
Seeking a Principal AI Product Manager to lead the development of AI-driven features for supervisor effectiveness, focusing on conversation intelligence and agent automation. Requires collaboration with cross-functional teams and ownership of product lifecycle.
24 Days AgoSaved
In-Office
3 Locations
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
Design and develop high-quality iOS applications, collaborate with cross-functional teams, implement best practices, and ensure application performance.
18 Hours AgoSaved
Ontario, ON, CAN
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
The AI Solutions Architect will design and implement AI-powered CCaaS solutions, drive projects, and optimize AI models to enhance customer engagement and operational efficiency.
16 Days AgoSaved
In-Office
11 Locations
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
As a Software Architect, you will develop and deploy software for platform improvements, collaborate across teams for best practices, and resolve production issues.