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Advanced Technical Support:
- Own escalated cases end-to-end: root cause, resolution, and customer confirmation.
- Investigate issues across conversational AI flows, voice integrations, REST APIs, webhooks, and core banking connectors.
- Debug using logs, call recordings, digital transcripts, API traces, and observability tooling.
AI Agent Quality Improvement:
- Analyze escalated AI conversations and categorize root causes with specificity for ML/Product teams.
- Write, refine, and retire knowledge base articles to continuously raise AI resolution rates.
- Close the feedback loop through actionable bug reports and structured insights.
Incident Customer Management:
- Engage directly with customer technical and operational stakeholders via email and calls.
- Lead P1/P2 incident response with war room coordination and timestamped updates.
- Write post-mortems suitable for customer leadership and compliance review.
Feedback Process Improvement:
- File actionable bug reports Engineering can act on without follow-up.
- Surface recurring patterns as structured insights to Product and ML teams.
- Flag compliance-adjacent issues immediately: call recording, disclosure language, member data.
Interface.ai
Interface.ai builds Generative AI-powered virtual assistants for banks and credit unions, automating customer service across voice and chat for 100+ financial institutions. The company is remote-first and emphasizes high ownership and AI innovation at the frontier of financial services.