Чем предстоит заниматься
Design, build, and maintain AI-assisted tools that improve how support specialists triage, research, and resolve tickets; including agent-facing copilots, knowledge surfacing tools, and response assist features
Own the automation layer across the support stack, building custom integrations, cross-tool workflows, and solutions that extend beyond what Zendesk natively offers
Partner with Data team to build and maintain reporting infrastructure that gives the support org real-time and historical visibility into volume, quality, efficiency, and trends
Identify manual or repetitive agent workflows and architect automated or AI-assisted alternatives that reduce friction without sacrificing quality
Partner with the Support Enablement Lead to integrate tooling improvements into how agents are trained and how knowledge is surfaced in the moment of need
Collaborate with the Support Systems Administrator to ensure automation and AI initiatives are implemented and maintained cleanly within the core support stack
Partner closely with the Support Systems Administrator and Support Operations Lead — they own the Zendesk platform and its native features; you own what's built beyond it
Evaluate new tools, run structured pilots, and bring recommendations to leadership with clear rationale and data
Document systems, integration logic, and automation workflows to ensure maintainability as the org scales