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Create and execute detailed manual test plans for the Speechify Web app across browsers/devices, document defects, run regression and release validation, and collaborate with Product, Engineering, and Support to prioritize and triage issues.
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 2025 Design Award winner for Inclusivity.
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 Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
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.
This is a full-time remote role and can be based anywhere globally.
What You’ll Do
- 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.
An ideal candidate should have
- 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
Nice-to-Have:
- 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
Engineering at Speechify is exciting for a few reasons
- We provide an opportunity to not only increase your knowledge, but ours as well.
- We strongly believe is sustainable growth. As a startup, we put our customers and employees first.
- Our company vision allows for a lot of creative exploration.
- What does a future where people consume all information through audio look like? How do we create this future?
- We have life changing product market fit.
- Our users (people with disabilities, students, working professionals) report life changing experiences after discovering our product.
- We move very quickly
- We run many experiments and ship product updates multiple times every week.
- We are focused on customers
- We start from concrete user problems and build systems that solve them
- We value deep thinking
- We get to the right answers through careful thought and experimentation and love digging deeper into the details.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- 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.
Think you’re a good fit for this job?
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.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Top Skills
Jira,Linear,Postman,Browser Developer Tools,Wcag,Test Automation Tools,Text-To-Speech Technologies
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