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CL
Senior AI Builder and Analyst (Customer Support)
Clio · Burnaby, Canada
About The Role
Join Clio, a leading legal technology company, as a Senior AI Builder & Analyst. In this role, you will design, build, and refine AI-assisted tools and workflows for our Customer Support organization. You will own the technical build, partner with leaders across various functions, optimize AI-assisted QA tooling, and build and automate reporting on core Support metrics. This is a hands-on role for someone with experience in contact centers or SaaS support environments, strong reporting and data visualization skills, and a working knowledge of core WFM and QA metrics.
- Designing, building, and continuously refining AI-assisted tools and workflows for Support, Technical Escalations, and Workforce Management.
- Owning the technical build: prompt design, workflow logic, integration with our existing stack, and ongoing tuning as needs change.
- Partnering directly with leaders across Support, TechEsc, CSOps and WFM to identify where a built tool beats a manual process, and prioritizing accordingly.
- 4+ years of experience working in a contact center or SaaS support environment
- A bias for action and comfort operating without a lot of structure, this role is being built as the team's scope evolves, not stepping into something fully mapped out
- Hands-on experience building AI-assisted workflows or tools, not just using them: prompt engineering, agentic workflows, AI QA scoring, or similar
- A track record of translating complex, technical work into something a non-technical stakeholder can act on
- Strong reporting and data visualization skills (Looker, Salesforce, or advanced Excel/Sheets); comfort with SQL or a willingness to get there fast
- Working knowledge of core WFM and QA metrics (SLA, AHT, shrinkage, occupancy, utilization, DSAT, repeat contact) and what actually moves them
- Experience with Talkdesk, Service Cloud, or a comparable contact center platform
- Exposure to building or evaluating AI teammates or agentic tooling in a live operational environment
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