Enterprise AI Operations Lead - Quality & ROI

Trissential

Minneapolis (MN)

Hybrid

USD 124,000 - 138,000

Full time

8 days ago
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Benefits offered by this job

Competitive pay
Benefits package
Paid time off
Career development

Job summary

Trissential is seeking a Customer AI Operations Engineer to own the operational success of enterprise AI agents, virtual assistants, and generative AI solutions in production. You will partner with product, engineering, operations, and business stakeholders to improve AI quality, governance, and ROI.

Ideal candidates bring 5+ years in tech operations, production AI experience, and strong analytics skills. This hybrid role supports Minneapolis or Denver with remote consideration and

Qualifications

  • 5+ years in technology operations, analytics, product operations, QA, knowledge management, conversational AI, or related field.
  • 2+ years supporting AI agents, conversational AI platforms, or generative AI in production.

Responsibilities

  • Own operational performance of AI-powered solutions post-implementation and hypercare.
  • Monitor AI quality, response accuracy, relevance, compliance, adoption, and business outcomes.
  • Develop and maintain operational scorecards for containment, satisfaction, escalation, retrieval, and latency.

Skills

Technology operations
Analytics
Product operations
Quality engineering
Knowledge management
Conversational AI
Operational analytics

Education

Bachelor's degree
Certifications (MS/Cloud/AI/ITSM)

Tools

Jira
Microsoft Copilot Studio
Salesforce Agentforce

Job description

Trissential is seeking a Customer AI Operations Engineer to own the operational success of enterprise AI agents, virtual assistants, and generative AI solutions in production. You will partner with product, engineering, operations, and business stakeholders to improve AI quality, governance, and ROI.

Ideal candidates bring 5+ years in tech operations, production AI experience, and strong analytics skills. This hybrid role supports Minneapolis or Denver with remote consideration and

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