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QA Engineer

Phonely· Engineering
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Hybrid (CA)$45k - $65kFull-timePosted 1mo ago

About the role

QA engineer role at Phonely, an early-stage AI voice platform. Responsible for testing features, building and maintaining automated end-to-end tests, and shaping the QA process as the first dedicated QA hire.

Responsibilities

  • QA new features and bug fixes across Phonely’s product, testing happy paths, edge cases, regressions, and general UI/UX quality
  • Build automated tests to cover every non-human part of your job
  • Own, maintain, and expand our automated end to end test suite
  • Reproduce bugs reported by customers and internal teams, then write them up clearly enough that an engineer can fix them without a follow-up call
  • Push back when something isn’t good enough to ship
  • Build the QA process from scratch as our first dedicated QA hire

Qualifications

  • Some experience building or testing software: QA, software engineering, solutions/FDE, or similar
  • Enough technical depth to inspect logs, HTTP requests, and browser behavior, and the instinct to use AI to move faster doing it
  • AI native. You reach for the model before you reach for the manual
  • User empathy and real opinions. You’re the last touchpoint before a feature ships, so you need to notice when something is bad and have the chutzpah to say so
  • A technical background. A degree in CS or engineering is preferred, or equivalent hands-on experience
  • Significant overlap with North American working hours

Skills

Required:QA testingAutomated testing
Nice to have:Playwright/Cypress (nice to have)CI/CD familiarity

Benefits

  • Company culture driven by a tight-knit, athlete-founded team
  • Meal stipends or company-provided meals
  • Offsite retreats in desirable locations (e.g., Rocky Mountains, Costa Rica)
Last updated Oct 7, 2026. Interested? Apply on the company site.
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About Phonely

AI call centers

Phonely uses existing call recordings to create a 'AI vocal twin' that can answer customer support calls and match or outperform call center agents. On top of that we've built a Zapier like workflow that lets businesses connect to software or transfer calls just like a person would. Our platform sits on proprietary deterministic LLM that is both cheaper and more accurate than gpt-4o for call center inquiries.

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