AI Support Ops Analyst - Remote UK

United States Digital Space LLC

United Kingdom

Remote

GBP 45,000 - 65,000

Full time

8 days ago
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Benefits offered by this job

Remote work flexibility
Career growth opportunities
Share options
Private health care

Job summary

United States Digital Space LLC is seeking a Support Operations Analyst to scale AI-powered customer support, optimise the Intercom Fin experience and improve knowledge management. You will own AI content, tune workflows and routing, and ensure readiness for product launches while providing second-line support when needed.

The role emphasizes collaboration with Product, Engineering and Marketing, a proactive approach to incidents, and a focus on improving AI deflection and automation across the

Qualifications

  • Strong interest in technology, SaaS, and AI.
  • Solid problem-solving and proactive mindset.
  • Clear and confident communication with non-technical audiences.
  • Experience in customer-facing or technical support in B2B SaaS.

Responsibilities

  • Second-line Customer Support for complex requests requiring human investigation.
  • Incident & Problem Management coordination with Engineering and Product.
  • Technical Investigation with Product/Engineering for deeper issues.
  • Develop strong product knowledge to support users effectively.
  • Collaborate across Product, Marketing, Training & Enablement and Engineering for accurate Help Centre content and launch readiness.
  • Own AI Support optimisation, including content authoring and workflow tuning, to increase deflection and self-service.

Skills

Tech interest
Problem solving
Communication skills
Customer support in SaaS
AI support platforms

Tools

Intercom Fin
Zendesk AI

Job description

United States Digital Space LLC is seeking a Support Operations Analyst to scale AI-powered customer support, optimise the Intercom Fin experience and improve knowledge management. You will own AI content, tune workflows and routing, and ensure readiness for product launches while providing second-line support when needed.

The role emphasizes collaboration with Product, Engineering and Marketing, a proactive approach to incidents, and a focus on improving AI deflection and automation across the

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