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Manual Quality Assurance Engineer

Speechify13 days ago
Remote
United Kingdom, Europe, United States, Canada
Mid Level

About the role

Who you are

  • B.S. in Computer Science, related technical field, or equivalent experience
  • 3+ years of experience in manual QA testing, with a strong focus on Web applications
  • Strong understanding of QA fundamentals including test planning, test case design, regression testing, exploratory testing, and bug reporting
  • Experience working in Agile environments and collaborating cross functionally with engineering and product teams
  • Excellent troubleshooting and problem-solving skills, with the ability to isolate root causes and communicate issues clearly
  • Strong written communication skills, especially when documenting defects and test results
  • Familiarity with tools like Jira, Linear, or similar bug tracking/project management systems
  • Experience using browser developer tools to assist with debugging and issue reproduction
  • Experience with accessibility testing and familiarity with WCAG guidelines
  • Familiarity with text-to-speech technologies or audio-based products
  • Exposure to test automation tools (even if not responsible for building automation)
  • Experience validating APIs using tools like Postman

What the job involves

  • Our team is committed to changing the way people read and with our exponential growth, we are looking for a strong QA engineer to help us succeed through testing Web applications
  • We love a commitment to quality and risk assessment, maintaining documentation, and curiosity of testing trends and industry standards
  • Develop and execute detailed manual test plans and test cases for the Speechify Web app, ensuring strong functional coverage across core user flows and edge cases
  • Perform hands-on manual testing across browsers and devices to validate new features, bug fixes, and releases
  • Collaborate closely with engineers and product teams to identify, reproduce, isolate, and document defects, providing clear steps, expected vs. actual results, and supporting evidence
  • Maintain clear and organized QA documentation, including test cases, regression suites, test reports, and release validation summaries
  • Partner with Product, Engineering, and Customer Support to ensure issues are triaged correctly and prioritized based on user impact
  • Participate in Agile workflows including daily standups, sprint planning, grooming, and retrospectives, ensuring QA is embedded throughout the development lifecycle
  • Execute regression testing and release validation to ensure product quality and stability prior to launch
  • Continuously identify ways to improve manual QA processes, test coverage, and communication between teams
  • Opportunity to work on a life-changing product that millions of people use
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more
  • Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio

The application process

  • Tell us more about yourself and why you're interested in the role when you apply
  • And don’t forget to include links to your portfolio and LinkedIn

About Speechify

Software Development
51-200

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text to speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text to speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Speechify also provides a voice over, voice cloning, and dubbing studio for businesses and creators and a text to speech API for developers. Through its products, Speechify is the largest provide of Speech AI in the world.

Cliff Weitzman founded Speechify to overcome his own dyslexia. Growing up, Cliff’s dad would read him Harry Potter because he couldn't do it himself. Cliff’s dad was his hero. But without reading, Cliff couldn't become the person he wanted to be. So, he learned to code and created Speechify to read books to himself.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Revolut, Stripe, and Bolt, and many founders of their own companies.

Programming languages across Speechify include React, Typescript, NodeJS, Kotlin, Python, and Go. We’d love to meet you! Please apply here: https://job-boards.greenhouse.io/speechify.