Startups · AI

Voice AI QA Analyst

Veritus · San Francisco · Remote

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About Veritus

Compliant AI agents for the consumer lending industry. Backed by Y Combinator.

About the role

Conduct structured UAT on AI voice agents prior to client launch: place and receive test calls, probe edge cases and failure modes, and document defects with clear, reproducible steps Test across scripted and adversarial scenarios (identity verification, payment negotiation, escalation/handoff triggers) to confirm the agent behaves as expected before go-live Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 2–4 years of QA, quality analyst, operations analyst, or similar experience, ideally in a consumer lending contact center or voice-based environment
  • Familiarity with US consumer lending laws and regulations such as FDCPA, TCPA, ECOA, and SCRA
  • Strong attention to detail and comfort following structured test plans and scorecards
  • Comfortable working with quantitative data and basic statistics to identify trends and assess performance
  • Experience working with spreadsheets or data analysis tools to analyze operational or customer interaction data
  • Ability to turn quantitative and qualitative findings into clear conclusions and recommendations
More about this role

Veritus Agent builds AI agents for borrower communication across the consumer lending lifecycle: origination, servicing, and collections. Every agent we deliver is tested against real conversations before it reaches a client, and every live agent is continuously monitored for quality and performance.

This role sits at the intersection of testing, QA, and performance analytics. You’ll help ensure our agents are ready for launch, monitor how they perform in production, and use both individual call reviews and aggregate call data to identify opportunities to improve performance for our clients.

Conduct structured UAT on AI voice agents prior to client launch: place and receive test calls, probe edge cases and failure modes, and document defects with clear, reproducible steps

Test across scripted and adversarial scenarios (identity verification, payment negotiation, escalation/handoff triggers) to confirm the agent behaves as expected before go-live

Monitor the ongoing performance of live agents across client deployments, using both call-level QA and aggregate performance metrics

Listen to and grade live agent calls against Veritus's QA scorecard, scoring for accuracy, compliance, and...

Read the full posting on Veritus's site ↗

Quality

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