Live opening · Posted 12 days ago

Customer Success Specialist, Entry Level

Jobright.ai · Canada (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 12 days ago
CompanyJobright.ai
LocationCanada (Remote)
Work modeNo
SourceLinkedin
Listed12 days ago

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About the role

Description supplied by the original job listing.

Jobright is an AI-powered job search agent that simplifies the job search process and helps users achieve better job outcomes. The Customer Success Specialist helps customers adopt the product and realize value through onboarding, product education, customer support, engagement tracking, issue escalation, and cross-functional feedback sharing.
Why Join Us
• Build real, production AI agents used by real users
• High ownership and impact
• Work at the intersection of AI, agents, and product
• Shape how people experience AI-driven job search
Responsibilities
• Guide new customers through onboarding and product setup
• Respond to customer questions with clear, timely, and helpful communication
• Educate customers on product features, workflows, and best practices
• Track customer goals, adoption signals, issues, and follow-up actions
• Identify risks and escalate technical or account concerns to the right teams
• Capture customer feedback and partner with product, support, and sales teams
Qualification
Required
• Strong written and verbal communication with a customer-first mindset
• Excellent organization, follow-through, and problem-solving skills
• Ability to explain product concepts clearly to different audiences
• Comfort learning software tools and managing multiple customer conversations
• Ability to work independently and collaborate effectively in a remote environment
Preferred
• Internship, part-time, volunteer, or project experience in customer success, support, account management, or hospitality
• Familiarity with CRM, help-desk, project management, or collaboration tools
• Experience supporting a SaaS, technology, education, or recruiting product
• Basic ability to analyze customer usage data and identify trends

Work arrangement
No

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