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Engineering

QA Engineer

  • Full-Time
  • In-Office: Downtown Los Angeles, CA
  • Engineering
  • 3+ years
  • $130,000–$165,000 + equity

Summary

Own quality across our voice agent platform. You will design and execute test strategies for conversational flows, real-time audio pipelines, and the APIs developers build on, catching issues before they reach production and helping the team ship fast without breaking things. This is a hands-on role that blends manual exploratory testing, talking to and stress-testing voice agents, with building durable automated test coverage.

What you'll do

  • Design, write, and maintain test plans for voice agent conversational flows, including edge cases, interruptions, accents, and noisy audio conditions.
  • Build and maintain automated test suites for backend APIs and integrations (regression, functional, and end-to-end).
  • Benchmark AI systems for quality and performance.
  • Test real-time voice pipelines end to end (ASR, TTS, latency, and call quality) across telephony integrations (SIP/PSTN) and supported platforms.
  • Partner with engineering during feature development to define acceptance criteria and catch issues pre-release.
  • Own release regression testing and sign-off before deploys.
  • Track, triage, and clearly document bugs; work with engineers through resolution and verification.
  • Monitor production quality signals (call success rate, latency, failure modes) and flag regressions.
  • Help build out QA process and tooling as the team and platform scale.

What we're looking for

  • 3+ years of experience in QA, SDET, or a related software testing role.
  • Experience testing APIs and backend services, and writing test automation (e.g., Python, pytest, Postman/Newman, or similar).
  • Strong exploratory testing instincts; comfortable digging in without a fully scripted test case.
  • Clear, precise bug reports and comfort working directly with engineers to resolve them.
  • Solid understanding of CI/CD and how automated testing fits into a release pipeline.
  • Based in or willing to work from Guava's Downtown Los Angeles (Arts District) office.

Nice to haves

  • Experience testing voice, audio, or telephony systems (IVR, contact center, or conversational AI products).
  • Experience owning backwards compatibility for a public SDK: designing and maintaining a version compatibility matrix, building contract tests that catch breaking changes in CI, and defining deprecation policy.
  • Familiarity with load/performance testing tools.

Why Guava

  • Own quality for a voice AI platform running in real, regulated production, not a research demo.
  • Direct access to engineering leadership; no layers.
  • Join a technical team building the reliability and audio quality the product depends on.