Member of Technical Staff - QA Lead
Patronus AI • San Francisco, California, United States
Role & seniority: QA Engineering Lead; directs a QA team, drives end-to-end QA across projects, surface-area automation, and process improvement.
Stack/tools: Python and/or JavaScript test automation; Playwright, Cypress, or Selenium for E2E tests; REST API testing; CI/CD integration; collaboration with AI/ML teams (datasets/evaluation workflows).
Top 3 responsibilities
-
Lead QA engineers and ensure successful execution across all QA projects.
-
Build/maintain automated tests for UI, APIs, and MCP; define and improve test processes, planning, criteria, and bug triage.
-
Collaborate with engineering and AI research teams; participate in design reviews and provide testability feedback; establish documentation and best practices.
Must-have skills
-
5+ years QA experience on web platforms; 2+ years leading QA initiatives.
-
Strong REST API testing, manual test design, and edge-case coverage.
-
End-to-end testing with Playwright/Cypress/Selenium; CI/CD test integration and flaky-test debugging.
-
Experience with load/performance testing; collaboration with AI/ML teams on datasets/evaluation.
Nice-to-haves
-
Prior technical leadership experience; strong emphasis on detail-orientation, proactive mindset, and problem-solving creativity.
-
Experience in production-grade QA environments and data-driven testing.
Location & work type: Not specified in text; benefits imply on-site/office-oriented perks.
Full Description
Responsibilities You are responsible for ensuring the quality and reliability of our products and systems. You will work closely with our engineering, AI and design teams to identify and resolve any potential issues or bugs, create testing plans and datasets, ensuring that our products meet the highest standards of performance and functionality. You will drive successful execution across a QA engineering team. Successful applicants are skilled, have prior QA and technical lead experience, and are extremely detail-oriented.
In this role, you will
- Lead a team of QA engineers to successfully drive execution across all QA projects.
Build and maintain automated testing across all surface areas: UI, APIs, and MCP
Define and continuously improve QA processes: test planning, criteria, and bug triage workflows. Partner with engineering and AI research teams to understand requirements early; participate in technical design reviews and provide testability feedback Establish team best practices and documentation
Qualifications "The number one qualification to succeed in this machine learning course is gumption” - John Lafferty, CS Professor at Yale
Above all, we look for an eagerness to learn, passion for research, creativity in problem solving and a proactive mindset. You are a great fit if you have a background in the following
- 5+ years of QA experience on web platforms in a production environment and building test automation with Python and/or Javascript
- 2+ years of experience leading QA initiatives on a team
- Strong experience with REST APIs and API testing
- Strong manual testing skills and the ability to design test cases that uncover edge cases and unexpected behavior
- Experience writing and maintaining end-to-end tests (Playwright, Cypress, Selenium)
- Experience with CI/CD test integration, test reliability, and debugging flaky tests
- Experience executing load/performance tests and interpreting results
- Comfort collaborating with AI/ML teams on datasets and evaluation workflows
- Good character, integrity, and respect for others!
Benefits Competitive salary and equity packages Health, dental, and vision insurance plans 401(k) plan + matching In-office private chef Sponsored personal tax accounting Whoop band, Oura ring, Function Health Monthly meal stipend Monthly health and wellness stipend Equinox membership Fun global offsites!
Patronus AI is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.