Voice AI QA Analyst

Job not on LinkedIn

🔥 2 minutes ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🔧 QA Engineer (Quality Assurance)

🚫👨‍🎓 No degree required

👻 Ghost score 15%

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Veritus

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2025

🤖 Artificial Intelligence

💳 Fintech

☁️ SaaS

🔥 Funding within the last year

💰 $10M Seed Round on 2026-02

Artificial Intelligence • Fintech • SaaS

Veritus is an AI communications platform for financial services that provides compliant voice, SMS, email, and web chat agents to automate inbound and outbound customer conversations across the loan lifecycle. Its platform offers orchestration, unified customer context across channels, AI-powered automated QA, and runtime enforcement of regulatory controls (TCPA, Reg F, FDCPA and state AI-disclosure requirements). Veritus targets fintech lenders, card issuers, banks, credit unions, and third‑party agencies with use cases including customer acquisition, loan servicing, welcome calls, and early- and late-stage collections; it emphasizes bank‑grade security and compliance (SOC 2 Type II, PCI DSS) and is positioned as an enterprise SaaS solution for regulated lending operations.

📋 Description

• Conduct structured UAT on AI voice agents before client launch by placing and receiving test calls, probing edge cases and failure modes, and documenting reproducible defects • Test scripted and adversarial scenarios, including identity verification, payment negotiation, and escalation or handoff triggers • Monitor ongoing performance of live agents across client deployments using call-level QA and aggregate performance metrics • Listen to and grade live agent calls against Veritus's QA scorecard for accuracy, compliance, and tone • Analyze call data to identify trends, recurring failure modes, outliers, and performance improvement opportunities • Track performance metrics over time and investigate changes or anomalies in agent behavior • Partner with Customer Success to prepare quarterly client performance reports combining quantitative analysis with call-review insights • Translate call and performance data into actionable recommendations for clients and internal teams • Flag systemic issues, including recurring failure patterns, scorecard drift, and emerging edge cases, to Customer Success and engineering • Maintain documentation of test results, call grades, analyses, and findings in tracking tools

🎯 Requirements

• 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 • Comfort 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 • Clear written English for defect reports, call notes, and client-facing performance summaries • Comfort giving and receiving detailed feedback on quality issues • Experience testing AI/voicebot or IVR systems is nice to have but not required • Prior UAT or pre-release testing experience for a software product is nice to have but not required • Experience analyzing contact-center or call-performance data is nice to have but not required • Experience creating client-facing performance reports or working closely with Customer Success teams is nice to have but not required • Familiarity with SQL, BI tools, or other data analysis tools is nice to have but not required • BS preferred; equivalent professional QA, operations, or analytics experience is sufficient • Legally authorized to work in the United States • Must answer whether employment visa sponsorship is required

🏖️ Benefits

• No benefits, perks, or additional compensation are specified in the posting

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