Member of Tehnical Staff (Senior QA Web)

Perplexity · New York City; San Francisco

  • Senior
  • Full-time
  • $140,000 – $160,000
  • Posted 2026-10-05
  • Confirmed live on 13 October 2026

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Job description

About the Role

We’re looking for a Senior Web QA Engineer to join our Web QA team and help maintain the quality of the core web experience used by millions of people every day.

In this role, you’ll test the web products and work closely with engineers to find, report, and help resolve issues early. You’ll also look at how the web experience fits into the wider Perplexity product ecosystem, making sure key flows work consistently across surfaces.

Key Responsibilities

- Test Perplexity’s web product across browsers, devices, and screen sizes, checking functionality, reliability, and performance throughout the development cycle.

- Run end-to-end integration testing with other Perplexity products, validating shared flows, accounts, and features.

- Work directly with engineers to prioritize critical bugs, write clear and actionable bug reports, and help get issues resolved.

- Create and maintain test documentation, including test cases, checklists, and test plans, keeping them current as the product changes.

- Analyze high-impact user-reported issues and incidents, then share insights that help improve both the product and our QA process.

- Fix small, low-risk issues yourself where appropriate, shipping simple fixes to reduce engineering overhead and speed up resolution.

Qualifications

- 5+ years of experience in QA, with strong hands-on experience testing web applications

- Solid experience with web testing, including cross-browser and responsive testing, debugging with browser DevTools (console, network, performance), and validating functionality across environments and builds

- Experience with integration and end-to-end testing across multiple connected products or services

- Strong communication skills, with the ability to work effectively with engineering, product, and other QA teams

- Proactive use of AI coding tools (e.g. Cursor, Claude Code) to navigate the codebase, debug issues, and ship small fixes independently 

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