AI-Savvy Support Analyst

Canoe Intelligence; Town of Ulysses (NY); On-site; USD 70,000 - 80,000; Full time

Job summary

Canoe Intelligence is seeking a Support Analyst in New York City or Jacksonville to manage client inquiries, educate customers on our AI-native platform, and partner with product and data teams to improve workflows.

You will become a product expert, respond to support requests, and contribute to the Help Center while delivering exceptional client experiences in a fast-paced environment.

Qualifications

• Client-centric; focus on delivering for customers.
• Collaborative environment; share best practices and support teammates.
• Analytical, data-driven self-starter with attention to detail.
• Able to dive into details to solve problems when required.
• Troubleshoot technical issues and relay information clearly.
• Interest in AI initiatives to advance Canoe’s support team.

Responsibilities

• Become a Canoe product expert and understand how proprietary ML tech adds value to client workflows.
• Be first line of contact for production customer base; handle how-to, troubleshooting, and training cases.
• Work cross-functionally with Canoe teams to resolve client inquiries and streamline processes.
• Respond to client inquiries in a concise, timely manner.
• Collaborate with Product team to relay feedback and track bug resolutions.
• Coordinate with Data Team to incorporate client feedback into Canoe’s tech roadmap.

Skills

Customer focus

Collaborative

Analytical

Problem solving

Technical fluency

AI initiatives

Education

Experience with client support tooling

Tools

Zendesk

Salesforce

Jira

Confluence

Snowflake

Datadog

Job description

Canoe Intelligence is seeking a Support Analyst in New York City or Jacksonville to manage client inquiries, educate customers on our AI-native platform, and partner with product and data teams to improve workflows.

You will become a product expert, respond to support requests, and contribute to the Help Center while delivering exceptional client experiences in a fast-paced environment.