QA Lead Engineer (AI)

TL;DR

QA Lead Engineer (AI): Building automation and running tests to ensure product reliability and customer trust, with an accent on owning automated test frameworks and integrating them into CI/CD pipelines. Focus on qualifying releases, identifying failure modes, and mapping production issues into regression tests.

Location: Remote (USA) or San Francisco, CA.

Salary: $180,000–$230,000

Company

hirify.global is a leading voice AI platform for developers building speech-to-text, text-to-speech, and full speech-to-speech offerings.

What you will do

• Run daily/weekly test cycles across multiple products and environments.
• Build, maintain, and extend automated test frameworks integrated into CI/CD pipelines.
• Author, update, and optimize test cases across product lines.
• Partner with product squads to enable feature validation and regression coverage.
• Participate in release readiness reviews and provide test evidence for release evaluation and qualification.
• Hunt for failure modes beyond the “happy path" and integrate customer feedback into regression tests.

Requirements

• 4–6 years experience in QA or Software Engineering.
• Strong background in test automation frameworks (e.g., Playwright, Cypress, Selenium, PyTest, Jenkins).
• Hands-on experience with CI/CD pipelines and modern DevOps tooling.
• Solid understanding of exploratory testing and edge case design.
• Ability to communicate clearly with product and engineering teams.
• English: B2 required.

Nice to have

• Audio compression, codec or analysis experience is a bonus.

Culture & Benefits

• Medical, dental, vision benefits, annual wellness stipend, and mental health support.
• Unlimited PTO, generous paid parental leave, and flexible schedule.
• 12 Paid US company holidays.
• Quarterly personal productivity stipend, one-time stipend for home office upgrades.
• 401(k) plan with company match, and tax savings programs.
• Offers Equity and offers Bonus with a 10% annual bonus.
• Learning/Education stipend, participation in talks and conferences, and AI enablement workshops/sessions.