QA Engineering Manager (AI)

TL;DR

QA Engineering Manager (AI): Defining and executing cross-product test strategy for a voice AI platform with an accent on quality, compliance, and customer trust. Focus on building and leading a QA team, driving test automation, and ensuring quality for frontier AI services.

Location: Remote (USA)

Salary: $190,000–$235,000

Company

hirify.global is a leading voice AI platform enabling developers to build speech-to-text, text-to-speech, and speech-to-speech offerings with unmatched accuracy, latency, and pricing.

What you will do

• Define and execute a cross-product test strategy (manual + automated) with daily/weekly validation cycles.
• Manage, mentor, and grow a QA team of engineers and specialists.
• Partner with product and engineering managers to embed testing into every release pipeline.
• Drive strategy and adoption of test infrastructure, automation platforms, and CI/CD quality gates.
• Own QA oversight for HIPAA, PCI FedRAMP, and all applicable quality standards.
• Define KPIs, publish regular dashboards, and lead quality reviews with leadership.

Requirements

• 7+ years in QA or Software Engineering with 2–3+ years in a leadership/managerial role
• Proven experience leading test strategy and execution in SaaS, APIs, or AI/ML platforms.
• Expertise in test automation frameworks, CI/CD integration, and cross-platform validation.
• Familiarity with compliance frameworks (HIPAA, SOC2, FedRAMP).
• Strong communication skills to align quality priorities across engineering, product, and operations.
• Data-driven mindset with experience defining and acting on KPIs and operational metrics.
• English: B2 required

Culture & Benefits

• Comprehensive medical, dental, and vision benefits, plus an annual wellness stipend.
• Unlimited PTO and generous paid parental leave with a flexible schedule.
• 12 paid US company holidays and quarterly personal productivity stipend.
• 401(k) plan with company match and tax savings programs.
• Learning & Education stipend, participation in talks and conferences.
• AI enablement workshops/sessions and Employee Resource Groups.